Tepary Bean Phenotyping data analysis of all 8 experiments
Aparna Srinivasan
2023-07-10
- Experimental description
- Set working directory
- Bind all days together
- Load potnames1 which has pot number,pot tag, accession names and treatment.
- Combining two sheets by matching potnumber and pot tag
- calculate cumulative area from 7 different angles AND maximum width and height
- AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
- Adding measurement to an empty table
- Assign values to “days” column based on specific dates
- Check no of sides
- Plot Area.sum and Date
- Assign levels
- We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
- Ex1_Write cumm_data_clean into new file as final_Ex1
- Bind all days together
- Load potnames2 which has pot number,pot tag, accession names and treatment.
- Combining two sheets by matching potnumber and pot tag
- Split the date and time and isolate both DATE and TIMESTAMP
- Calculate cumulative area from 7 different angles AND maximum width and height
- AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
- Adding measurement to an empty table
- Looping for all
- Assign values to “days” column based on specific dates
- Check no of sides
- Plot Area.sum and Date
- Assign levels
- We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
- Ex2_Write cumm_data_clean into new file as final_Ex2
- Loading all days processed images from Ex3
- Bind all days together
- Load potnames3 which has pot number,pot tag, accession names and treatment
- Combining two sheets by matching potnumber and pot tag
- Calculate cumulative area from 7 different angles AND maximum width and height
- AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
- Adding measurement to an empty table
- Looping for all
- Assign days from 0 to 14 in corresponding dates
- Check no of sides
- Plot Area.sum and Date
- Assign levels
- We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
- Loading all days processed images from Ex4.
- Bind all days together
- Load potnames4 which has pot number,pot tag, accession names and treatment.
- Combining two sheets by matching potnumber and pot tag
- Calculate cumulative area from 7 different angles AND maximum width and height
- AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
- Adding measurement to an empty table
- Assign values to “days” column based on specific dates
- Adding
- Plot Area.sum and Date
- Assign levels
- We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
- Loading all days processed images from Ex5.
- Bind all days together
- Load potnames5 which has pot number,pot tag, accession names and treatment
- Combining two sheets by matching potnumber and pot tag
- Calculate cumulative area from 7 different angles AND maximum width and height
- AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
- Adding measurement to an empty table
- Assign values to “days” column based on specific dates
- Check no of sides
- Plot Area.sum and Date
- Assign levels
- We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
- Loading all days processed images from Ex6.
- Bind all days together
- Load potnames6 which has pot number,pot tag, accession names and treatment.
- Combining two sheets by matching potnumber and pot tag
- Calculate cumulative area from 7 different angles AND maximum width and height
- AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
- Adding measurement to an empty table
- Assign values to “days” column based on specific dates
- Adding
- Plot Area.sum and Date
- Assign levels
- We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
- Loading all days processed images from Ex7
- Bind all days together
- Load potnames7 which has pot number,pot tag, accession names and treatment.
- Combining two sheets by matching potnumber and pot tag
- Calculate cumulative area from 7 different angles AND maximum width and height
- AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
- Adding measurement to an empty table
- Assign values to “days” column based on specific dates
- Adding
- Plot Area.sum and Date
- Assign levels
- We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
- Loading all days processed images from Ex8
- Bind all days together
- Load potnames8 which has pot number,pot tag, accession names and treatment.
- Combining two sheets by matching potnumber and pot tag
- Calculate cumulative area from 7 different angles AND maximum width and height
- AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
- Adding measurement to an empty table
- Assign values to “days” column based on specific dates
- Adding
- Plot Area.sum and Date
- Assign levels
- We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
- Ex8_Write cumm_data_clean into new file as final_Ex8
Experimental description
Tepary Bean Accessions screened for drought stress under two treatments: Control (60% FC) and drought (10% FC).This markdown is the compilation of all 8 Ex_ image analysis data and after data cleaning saved into final ex files.Plants were stressed after 15 days of sowing and imaged every other day in Phenocage.
# Load Libraries
library(ggplot2)
library(ggpubr)
library(reshape2)
library(dplyr)
library(tidyr)
library(plotly)
library(readxl)
library(tinytex)
library(ggthemes)
library(wesanderson)
library(tidyverse)Set working directory
getwd()## [1] "C:/Users/Aparna/Desktop/ImageResults"setwd("C:/Users/Aparna/Desktop/ImageResults")Ex1
Loading all days processed images from Ex1
d0 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex1_Results\\Results_120622.csv",'show_col_types' = 'FALSE')
d2 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex1_Results\\Results_120822.csv",'show_col_types' = 'FALSE')
d4 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex1_Results\\Results_121022.csv",'show_col_types' = 'FALSE')
d6 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex1_Results\\Results_121222.csv",'show_col_types' = 'FALSE')
d8 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex1_Results\\Results_121422.csv", 'show_col_types' = 'FALSE')
d10 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex1_Results\\Results_121622.csv",'show_col_types' = 'FALSE')
d12 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex1_Results\\Results_121822.csv", 'show_col_types' = 'FALSE')
d14 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex1_Results\\Results_122022.csv",'show_col_types' = 'FALSE')Bind all days together
comb <- rbind(d0, d2, d4, d6, d8, d10, d12,d14)Load potnames1 which has pot number,pot tag, accession names and treatment.
potnames1 <- read_xlsx("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex1_Results\\potnames1.xlsx")Combining two sheets by matching potnumber and pot tag
h <- inner_join(comb,potnames1,by=c("Pot_no"="PotTag"))
h## # A tibble: 4,078 x 8
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
## 1 2022.12.06-11.22.~ 15850 581 481 1 1 TDP_2 Control
## 2 2022.12.06-11.22.~ 12028 533 201 1 1 TDP_2 Control
## 3 2022.12.06-11.22.~ 16916 502 316 1 1 TDP_2 Control
## 4 2022.12.06-11.22.~ 17324 506 505 1 1 TDP_2 Control
## 5 2022.12.06-11.22.~ 11211 504 373 1 1 TDP_2 Control
## 6 2022.12.06-11.22.~ 21800 599 247 1 1 TDP_2 Control
## 7 2022.12.06-11.22.~ 28813 625 513 1 1 TDP_2 Control
## 8 2022.12.06-11.30.~ 8241 222 265 6 2 TDP_2 Drought
## 9 2022.12.06-11.30.~ 3493 234 244 6 2 TDP_2 Drought
## 10 2022.12.06-11.30.~ 9538 242 131 6 2 TDP_2 Drought
## # i 4,068 more rows##### Split the date and time and isolate both DATE and TIMESTAMP
h <- h %>%
mutate(date = str_extract(Image_name, "\\d{4}\\.\\d{2}\\.\\d{2}"),
timestamp = str_extract(Image_name, "\\d{2}\\.\\d{2}\\.\\d{2}(?=\\.)"))calculate cumulative area from 7 different angles AND maximum width and height
Subset for one plant
today <- subset(h, h$date == unique(h$date)[1])
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[1])
one_plant## # A tibble: 7 x 10
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment date
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <chr>
## 1 2022.12.06-1~ 15850 581 481 1 1 TDP_2 Control 2022~
## 2 2022.12.06-1~ 12028 533 201 1 1 TDP_2 Control 2022~
## 3 2022.12.06-1~ 16916 502 316 1 1 TDP_2 Control 2022~
## 4 2022.12.06-1~ 17324 506 505 1 1 TDP_2 Control 2022~
## 5 2022.12.06-1~ 11211 504 373 1 1 TDP_2 Control 2022~
## 6 2022.12.06-1~ 21800 599 247 1 1 TDP_2 Control 2022~
## 7 2022.12.06-1~ 28813 625 513 1 1 TDP_2 Control 2022~
## # i 1 more variable: timestamp <chr>AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
sum(one_plant$Area)## [1] 123942max(one_plant$Width)## [1] 513max(one_plant$Height)## [1] 625Adding measurement to an empty table
names <- c("DATE", "TIME", "Area.sum", "Height.max", "Width.max")
data_sum <- data.frame()
for (k in names) data_sum[[k]] <- as.character()
data_sum[1,1] <- one_plant$date[1]
data_sum[1,2] <- one_plant$timestamp[1]
data_sum[1,3] <- sum(one_plant$Area)
data_sum[1,4] <- max(one_plant$Height)
data_sum[1,5] <- sum(one_plant$Width)
data_sum[1, c("Accession", "Treatment")] <- h[1, c("Accession", "Treatment")]
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment
## 1 2022.12.06 11.22.17 123942 625 2636 TDP_2 Controlcount <- 1
for(d in 1:length(unique(h$date))){
today <- subset(h, h$date == unique(h$date)[d])
for(t in 1:length(unique(today$timestamp))){
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[t])
if (nrow(one_plant) > 0) {
data_sum[count,1] <- one_plant$date[1]
data_sum[count,2] <- one_plant$timestamp[1]
data_sum[count,3] <- sum(one_plant$Area)
data_sum[count,4] <- max(one_plant$Height)
data_sum[count,5] <- sum(one_plant$Width)
data_sum[count, "Treatment"] <- one_plant$Treatment[1]
data_sum[count, "Accession"] <- one_plant$Accession[1]
count <- count + 1
}
}
}Assign values to “days” column based on specific dates
data_sum$days[data_sum$DATE == "2022.12.06"] <- 0
data_sum$days[data_sum$DATE == "2022.12.08"] <- 2
data_sum$days[data_sum$DATE == "2022.12.10"] <- 4
data_sum$days[data_sum$DATE == "2022.12.12"] <- 6
data_sum$days[data_sum$DATE == "2022.12.14"] <- 8
data_sum$days[data_sum$DATE == "2022.12.16"] <- 10
data_sum$days[data_sum$DATE == "2022.12.18"] <- 12
data_sum$days[data_sum$DATE == "2022.12.20"] <- 14Check no of sides
dim(h)[1] / dim(data_sum)[1]## [1] 7.018933Plot Area.sum and Date
data_sum$Area.sum <- as.numeric(as.character(data_sum$Area.sum))
min(data_sum$Area.sum)## [1] 9588unique(data_sum$DATE)## [1] "2022.12.06" "2022.12.10" "2022.12.08" "2022.12.12" "2022.12.14"
## [6] "2022.12.16" "2022.12.18" "2022.12.20"data_sum$DATE <- as.numeric(as.character(data_sum$days))
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment days
## 1 0 11.22.17 123942 625 2636 TDP_2 Control 0
## 2 0 11.30.00 53111 242 1501 TDP_2 Drought 0
## 3 0 11.39.45 149982 904 3938 TDP_22 Control 0
## 4 0 11.42.38 170152 969 2765 TDP_25 Control 0
## 5 0 11.46.16 54434 729 2021 TDP_22 Drought 0
## 6 0 11.48.48 81650 1175 2148 TDP_25 Drought 0
## 7 0 11.49.48 220238 895 2985 TDP_27 Control 0
## 8 0 11.52.10 149969 729 3285 TDP_33 Control 0
## 9 0 11.53.03 155907 636 2342 TDP_34 Control 0
## 10 0 11.54.16 40664 641 2045 TDP_36 Control 0
## 11 0 11.55.20 165253 399 2281 TDP_27 Drought 0
## 12 0 11.57.18 117531 434 3323 TDP_33 Drought 0
## 13 0 11.58.14 53697 541 1474 TDP_34 Drought 0
## 14 0 11.59.20 39562 449 1253 TDP_36 Drought 0
## 15 0 12.00.34 78383 620 2586 TDP_37 Control 0
## 16 0 12.02.57 210065 512 4067 TDP_38 Control 0
## 17 0 12.04.13 55402 553 2722 TDP_39 Control 0
## 18 0 12.05.15 62938 569 2944 TDP_41 Control 0
## 19 0 12.10.21 135449 719 2323 TDP_42 Control 0
## 20 0 12.11.50 234903 533 3405 TDP_37 Drought 0
## 21 0 12.13.01 159985 712 3231 TDP_38 Drought 0
## 22 0 12.14.06 128383 672 4027 TDP_39 Drought 0
## 23 0 12.15.44 61777 700 2170 TDP_41 Drought 0
## 24 0 12.17.17 139493 903 3196 TDP_42 Drought 0
## 25 0 12.18.20 182249 700 2674 TDP_43 Control 0
## 26 0 12.19.53 244268 581 2980 TDP_44 Control 0
## 27 0 12.21.03 35387 522 1213 TDP_49 Control 0
## 28 0 12.24.32 150114 608 2811 TDP_43 Drought 0
## 29 0 12.25.49 102086 664 2246 TDP_44 Drought 0
## 30 0 12.26.50 43635 470 2008 TDP_49 Drought 0
## 31 0 12.30.12 42546 646 2084 TDP_54 Control 0
## 32 0 12.31.21 104495 660 3157 TDP_55 Control 0
## 33 0 12.33.04 235846 798 3547 TDP_56 Control 0
## 34 0 12.34.13 200522 728 2766 TDP_57 Control 0
## 35 0 12.35.10 108256 801 3670 TDP_58 Control 0
## 36 0 12.36.03 58958 739 1491 TDP_54 Drought 0
## 37 0 12.36.55 161176 633 3081 TDP_55 Drought 0
## 38 0 12.37.48 125825 657 2252 TDP_56 Drought 0
## 39 0 12.38.41 153389 593 3185 TDP_57 Drought 0
## 40 0 12.39.56 40064 548 1964 TDP_58 Drought 0
## 41 0 12.40.54 53103 428 2820 TDP_60 Control 0
## 42 0 12.42.04 68781 649 2766 TDP_61 Control 0
## 43 0 12.43.39 87321 446 3347 TDP_62 Control 0
## 44 0 12.45.16 45006 748 1910 TDP_65 Control 0
## 45 0 12.46.28 16918 344 1279 TDP_63 Control 0
## 46 0 12.47.41 67277 725 2322 TDP_60 Drought 0
## 47 0 12.49.06 51237 637 2607 TDP_61 Drought 0
## 48 0 12.50.43 74591 707 2923 TDP_62 Drought 0
## 49 0 12.51.52 38762 443 1908 TDP_65 Drought 0
## 50 0 12.53.19 21120 428 1127 TDP_63 Drought 0
## 51 0 12.56.46 84192 633 1777 TDP_68 Control 0
## 52 0 12.57.42 67953 677 2530 TDP_69 Control 0
## 53 0 12.58.36 22216 685 1771 TDP_70 Control 0
## 54 0 12.59.27 67001 667 2685 TDP_69 Control 0
## 55 0 13.01.17 20239 713 1636 TDP_70 Control 0
## 56 0 13.02.27 71873 481 3178 TDP_71 Control 0
## 57 0 13.04.32 71795 547 2489 TDP_68 Drought 0
## 58 0 13.05.23 58860 298 3253 TDP_69 Drought 0
## 59 0 13.06.15 35579 431 2571 TDP_70 Drought 0
## 60 0 13.07.54 49773 869 2861 TDP_71 Drought 0
## 61 0 13.09.10 72424 598 2869 TDP_74 Control 0
## 62 0 13.11.12 43266 555 1850 TDP_78 Control 0
## 63 0 15.02.50 54102 420 2886 TDP_79 Control 0
## 64 0 15.03.57 40730 630 2203 TDP_80 Control 0
## 65 0 15.04.58 10382 160 970 TDP_74 Drought 0
## 66 0 15.07.14 93828 581 3109 TDP_78 Drought 0
## 67 0 15.08.13 51564 694 2098 TDP_80 Drought 0
## 68 0 15.09.55 50979 173 2297 TDP_359_c Control 0
## 69 0 15.11.02 19253 281 1197 TDP_359_c Control 0
## 70 0 15.12.07 19509 302 1036 TDP_22_c Control 0
## 71 0 15.13.11 56738 788 2431 TDP_359_c Drought 0
## 72 0 15.14.06 40412 724 2189 TDP_359_c Drought 0
## 73 0 15.14.59 24016 295 1333 TDP_22_c Drought 0
## 74 4 12.28.47 352535 684 3183 TDP_2 Control 4
## 75 4 12.31.01 67047 293 2073 TDP_2 Drought 4
## 76 4 12.32.20 304241 997 4887 TDP_22 Control 4
## 77 4 12.33.43 202777 980 3810 TDP_25 Control 4
## 78 4 12.35.17 45085 593 3426 TDP_22 Drought 4
## 79 4 12.36.34 84977 1094 2119 TDP_25 Drought 4
## 80 4 12.37.49 422375 764 4164 TDP_27 Control 4
## 81 4 12.40.04 223071 608 3341 TDP_33 Control 4
## 82 4 12.45.19 279958 788 2581 TDP_34 Control 4
## 83 4 12.47.48 313565 760 2776 TDP_34 Control 4
## 84 4 12.48.39 103481 573 3245 TDP_36 Control 4
## 85 4 12.50.05 226764 417 2479 TDP_27 Drought 4
## 86 4 12.51.05 154518 521 3509 TDP_33 Drought 4
## 87 4 12.52.23 85657 615 1880 TDP_34 Drought 4
## 88 4 12.53.44 50273 536 1649 TDP_36 Drought 4
## 89 4 12.54.54 105219 592 2929 TDP_37 Control 4
## 90 4 12.57.06 299598 822 4124 TDP_38 Control 4
## 91 4 13.00.34 125240 551 3104 TDP_39 Control 4
## 92 4 13.02.16 190730 770 3681 TDP_41 Control 4
## 93 4 13.03.33 131782 690 2962 TDP_42 Control 4
## 94 4 13.05.09 255349 675 3474 TDP_37 Drought 4
## 95 4 13.06.17 171729 480 3873 TDP_38 Drought 4
## 96 4 13.07.39 202374 884 3391 TDP_39 Drought 4
## 97 4 13.08.34 70264 487 2643 TDP_41 Drought 4
## 98 4 13.10.08 83212 669 2590 TDP_42 Drought 4
## 99 4 13.11.26 298591 857 3253 TDP_43 Control 4
## 100 4 13.12.45 373042 621 3813 TDP_44 Control 4
## 101 4 13.14.06 79943 946 2866 TDP_49 Control 4
## 102 4 13.15.08 180095 640 3285 TDP_43 Drought 4
## 103 4 13.17.08 110683 674 2403 TDP_44 Drought 4
## 104 4 13.18.18 109700 715 2638 TDP_49 Drought 4
## 105 4 13.19.44 47295 708 3032 TDP_54 Control 4
## 106 4 13.22.12 209590 667 3157 TDP_55 Control 4
## 107 4 13.25.34 436976 909 3687 TDP_56 Control 4
## 108 4 13.28.24 256578 1070 3273 TDP_58 Control 4
## 109 4 13.29.53 76411 1078 2605 TDP_54 Drought 4
## 110 4 13.31.37 138156 905 3334 TDP_55 Drought 4
## 111 4 13.33.20 174007 833 2876 TDP_56 Drought 4
## 112 4 13.35.11 193578 801 3051 TDP_57 Drought 4
## 113 4 13.36.21 62722 601 2047 TDP_58 Drought 4
## 114 4 13.37.58 122440 575 2862 TDP_60 Control 4
## 115 4 13.38.59 159273 596 3471 TDP_61 Control 4
## 116 4 13.40.03 119636 708 3811 TDP_62 Control 4
## 117 4 13.45.03 106726 960 2324 TDP_65 Control 4
## 118 4 13.45.58 51619 669 1833 TDP_63 Control 4
## 119 4 13.46.59 103114 783 1898 TDP_60 Drought 4
## 120 4 13.47.48 90969 658 2976 TDP_61 Drought 4
## 121 4 13.49.07 116070 605 2478 TDP_62 Drought 4
## 122 4 13.50.00 44686 556 2558 TDP_65 Drought 4
## 123 4 13.51.54 25627 694 1449 TDP_63 Drought 4
## 124 4 13.53.29 103514 696 3225 TDP_68 Control 4
## 125 4 13.54.45 100128 795 3083 TDP_69 Control 4
## 126 4 13.55.38 68415 557 2898 TDP_70 Control 4
## 127 4 13.56.40 124108 890 3760 TDP_71 Control 4
## 128 4 13.58.09 79649 750 2579 TDP_68 Drought 4
## 129 4 13.59.49 129523 837 2858 TDP_69 Drought 4
## 130 4 14.00.48 65950 739 2818 TDP_70 Drought 4
## 131 4 14.01.37 105661 872 2763 TDP_71 Drought 4
## 132 4 14.03.33 153473 751 3482 TDP_74 Control 4
## 133 4 14.05.27 96659 491 2124 TDP_78 Control 4
## 134 4 14.06.25 118914 722 3539 TDP_79 Control 4
## 135 4 14.07.48 70635 582 2657 TDP_80 Control 4
## 136 4 14.08.54 9588 302 1063 TDP_74 Drought 4
## 137 4 14.09.58 82741 575 4101 TDP_78 Drought 4
## 138 4 14.10.48 148034 643 2603 TDP_79 Drought 4
## 139 4 14.11.51 93887 739 2447 TDP_80 Drought 4
## 140 4 14.12.49 105671 914 2739 TDP_359_c Control 4
## 141 4 14.14.45 52405 444 1956 TDP_359_c Control 4
## 142 4 14.16.11 76104 493 1940 TDP_22_c Control 4
## 143 4 14.17.24 77756 584 1546 TDP_359_c Drought 4
## 144 4 14.19.52 60251 760 2355 TDP_359_c Drought 4
## 145 4 14.21.07 43037 348 1522 TDP_22_c Drought 4
## 146 2 10.35.21 233799 843 3316 TDP_2 Control 2
## 147 2 10.44.37 77388 277 1699 TDP_2 Drought 2
## 148 2 10.48.16 198225 930 4526 TDP_22 Control 2
## 149 2 10.49.10 207400 938 4450 TDP_22 Control 2
## 150 2 10.50.39 215681 922 3348 TDP_25 Control 2
## 151 2 10.53.20 38002 573 2997 TDP_22 Drought 2
## 152 2 10.54.38 74986 1001 2140 TDP_25 Drought 2
## 153 2 10.56.01 291391 842 3391 TDP_27 Control 2
## 154 2 10.57.10 154163 461 3082 TDP_33 Control 2
## 155 2 10.58.20 166939 617 2473 TDP_34 Control 2
## 156 2 10.59.32 71315 316 3090 TDP_36 Control 2
## 157 2 11.00.50 215393 416 2282 TDP_27 Drought 2
## 158 2 11.01.54 139555 488 3357 TDP_33 Drought 2
## 159 2 11.03.19 69216 548 1866 TDP_34 Drought 2
## 160 2 11.04.20 41613 540 1387 TDP_36 Drought 2
## 161 2 11.05.17 81757 610 2778 TDP_37 Control 2
## 162 2 11.06.31 215662 625 4087 TDP_38 Control 2
## 163 2 11.07.32 75574 636 2940 TDP_39 Control 2
## 164 2 11.08.29 90414 565 3367 TDP_71 Drought 2
## 165 2 11.09.24 94934 666 2431 TDP_42 Control 2
## 166 2 11.10.22 216418 501 2799 TDP_37 Drought 2
## 167 2 11.11.24 165160 544 3237 TDP_38 Drought 2
## 168 2 11.12.25 134710 732 3539 TDP_39 Drought 2
## 169 2 11.13.32 78504 520 3125 TDP_41 Drought 2
## 170 2 11.14.36 70225 656 2506 TDP_42 Drought 2
## 171 2 11.15.57 194425 810 3257 TDP_43 Control 2
## 172 2 11.17.01 374641 619 3353 TDP_44 Control 2
## 173 2 11.18.03 68849 996 2130 TDP_49 Control 2
## 174 2 11.20.06 132441 694 3163 TDP_43 Drought 2
## 175 2 11.21.13 128940 621 2791 TDP_44 Drought 2
## 176 2 11.22.19 67582 492 2504 TDP_49 Drought 2
## 177 2 11.24.36 24001 562 2205 TDP_54 Control 2
## 178 2 11.25.50 112438 611 3297 TDP_55 Control 2
## 179 2 11.28.33 329304 961 3906 TDP_56 Control 2
## 180 2 11.29.43 230741 909 3741 TDP_57 Control 2
## 181 2 11.31.22 161181 634 3518 TDP_58 Control 2
## 182 2 11.32.36 47937 733 2616 TDP_54 Drought 2
## 183 2 11.33.55 106163 752 3358 TDP_55 Drought 2
## 184 2 11.35.18 115826 691 2836 TDP_56 Drought 2
## 185 2 11.36.38 194719 709 3259 TDP_57 Drought 2
## 186 2 11.37.51 52667 559 2028 TDP_58 Drought 2
## 187 2 11.38.54 80426 628 2869 TDP_60 Control 2
## 188 2 11.40.16 95032 601 2984 TDP_61 Control 2
## 189 2 11.41.27 81471 465 3494 TDP_62 Control 2
## 190 2 11.42.37 69526 799 2430 TDP_65 Control 2
## 191 2 11.43.43 20692 460 1551 TDP_63 Control 2
## 192 2 11.45.01 82458 783 2261 TDP_60 Drought 2
## 193 2 11.45.57 70538 522 2758 TDP_61 Drought 2
## 194 2 11.46.55 101885 551 3043 TDP_62 Drought 2
## 195 2 11.47.57 37355 464 2339 TDP_65 Drought 2
## 196 2 11.48.51 16381 465 1297 TDP_63 Drought 2
## 197 2 11.49.45 66594 713 2818 TDP_68 Control 2
## 198 2 11.50.51 76750 716 2810 TDP_69 Control 2
## 199 2 11.51.53 41418 509 2135 TDP_70 Control 2
## 200 2 11.53.15 80007 723 3253 TDP_71 Control 2
## 201 2 11.54.15 66837 698 2691 TDP_68 Drought 2
## 202 2 11.55.18 65133 722 2693 TDP_69 Drought 2
## 203 2 11.56.24 37564 648 2823 TDP_70 Drought 2
## 204 2 11.58.53 50667 856 2798 TDP_71 Drought 2
## 205 2 11.59.59 96976 667 3147 TDP_74 Control 2
## 206 2 12.01.22 47917 523 1926 TDP_78 Control 2
## 207 2 12.02.34 54338 505 3062 TDP_79 Control 2
## 208 2 12.03.40 49534 598 2228 TDP_80 Control 2
## 209 2 12.04.55 9942 225 1111 TDP_74 Drought 2
## 210 2 12.05.53 76603 667 3649 TDP_78 Drought 2
## 211 2 12.06.52 175515 852 2664 TDP_79 Drought 2
## 212 2 12.07.45 73213 777 2738 TDP_80 Drought 2
## 213 2 12.08.43 81403 680 1852 TDP_359_c Control 2
## 214 2 12.10.24 30773 352 1678 TDP_359_c Control 2
## 215 2 12.11.25 36416 293 1325 TDP_22_c Control 2
## 216 2 12.12.25 60073 799 2903 TDP_359_c Drought 2
## 217 2 12.13.18 36716 696 2420 TDP_359_c Drought 2
## 218 2 12.14.15 36177 340 1376 TDP_22_c Drought 2
## 219 6 15.04.35 390528 781 4644 TDP_2 Control 6
## 220 6 15.18.49 89263 356 2274 TDP_2 Drought 6
## 221 6 15.19.40 454143 997 5677 TDP_22 Control 6
## 222 6 15.21.46 546178 1005 5318 TDP_22 Control 6
## 223 6 15.24.22 331567 983 4026 TDP_25 Control 6
## 224 6 15.25.45 59643 780 3653 TDP_22 Drought 6
## 225 6 15.27.03 112795 1126 2184 TDP_25 Drought 6
## 226 6 15.31.20 447029 722 4205 TDP_27 Control 6
## 227 6 15.33.38 345202 619 3108 TDP_33 Control 6
## 228 6 15.35.05 410395 673 3039 TDP_34 Control 6
## 229 6 15.36.44 172580 885 3488 TDP_36 Control 6
## 230 6 15.38.45 219610 371 3032 TDP_27 Drought 6
## 231 6 15.40.05 186515 641 3451 TDP_33 Drought 6
## 232 6 15.41.22 97661 730 2070 TDP_34 Drought 6
## 233 6 15.43.52 54417 581 1742 TDP_36 Drought 6
## 234 6 15.46.43 156947 839 3678 TDP_37 Control 6
## 235 6 15.47.51 340498 624 4130 TDP_38 Control 6
## 236 6 15.49.07 182747 502 3361 TDP_39 Control 6
## 237 6 15.50.41 298809 705 3974 TDP_41 Control 6
## 238 6 15.51.39 135801 758 3691 TDP_42 Control 6
## 239 6 15.52.34 273858 758 3451 TDP_37 Drought 6
## 240 6 15.53.36 198834 547 3026 TDP_38 Drought 6
## 241 6 15.54.45 198746 779 3586 TDP_39 Drought 6
## 242 6 15.56.19 76422 561 2795 TDP_41 Drought 6
## 243 6 15.57.34 81738 588 2702 TDP_42 Drought 6
## 244 6 15.58.55 420864 919 4012 TDP_43 Control 6
## 245 6 16.00.53 618713 975 4276 TDP_44 Control 6
## 246 6 16.02.08 148460 851 3321 TDP_49 Control 6
## 247 6 16.04.57 100916 633 2695 TDP_44 Drought 6
## 248 6 16.07.45 76500 892 2534 TDP_49 Drought 6
## 249 6 16.09.11 75966 754 3288 TDP_54 Control 6
## 250 6 16.10.16 240289 716 3438 TDP_55 Control 6
## 251 6 16.11.31 612481 894 4566 TDP_56 Control 6
## 252 6 16.12.47 387724 1218 4053 TDP_57 Control 6
## 253 6 16.14.06 312474 1058 3930 TDP_58 Control 6
## 254 6 16.15.51 74285 1091 2734 TDP_54 Drought 6
## 255 6 16.18.21 160845 954 3199 TDP_55 Drought 6
## 256 6 16.19.13 216313 742 3167 TDP_56 Drought 6
## 257 6 16.20.05 216233 853 3019 TDP_57 Drought 6
## 258 6 16.20.57 75068 637 2327 TDP_58 Drought 6
## 259 6 16.21.53 154587 699 3314 TDP_60 Control 6
## 260 6 16.23.42 199511 743 3563 TDP_61 Control 6
## 261 6 16.24.34 208010 870 3812 TDP_62 Control 6
## 262 6 16.26.15 188295 748 3306 TDP_65 Control 6
## 263 6 16.27.11 85697 734 2301 TDP_63 Control 6
## 264 6 16.28.30 101197 926 1953 TDP_60 Drought 6
## 265 6 16.29.22 103482 675 3014 TDP_61 Drought 6
## 266 6 16.30.36 113993 642 2461 TDP_62 Drought 6
## 267 6 16.31.26 55338 672 2532 TDP_65 Drought 6
## 268 6 16.32.37 34032 747 1666 TDP_63 Drought 6
## 269 6 16.33.56 254005 820 4562 TDP_68 Control 6
## 270 6 16.35.33 159300 849 3907 TDP_69 Control 6
## 271 6 16.36.51 101113 727 3352 TDP_70 Control 6
## 272 6 16.38.36 197376 810 3548 TDP_71 Control 6
## 273 6 16.39.30 110158 994 2504 TDP_68 Drought 6
## 274 6 16.40.51 158085 826 2887 TDP_69 Drought 6
## 275 6 16.42.16 70707 701 2782 TDP_70 Drought 6
## 276 6 16.44.48 114339 1070 2653 TDP_71 Drought 6
## 277 6 16.46.13 293974 955 3823 TDP_74 Control 6
## 278 6 16.47.16 19141 388 1385 TDP_74 Drought 6
## 279 6 16.48.49 143209 753 2728 TDP_78 Control 6
## 280 6 16.50.47 277625 883 3814 TDP_79 Control 6
## 281 6 16.51.49 119341 844 2578 TDP_80 Control 6
## 282 6 16.53.20 145300 787 3345 TDP_78 Drought 6
## 283 6 16.54.54 178392 670 3053 TDP_79 Drought 6
## 284 6 16.55.54 95389 772 2433 TDP_80 Drought 6
## 285 6 16.56.46 155236 931 3145 TDP_359_c Control 6
## 286 6 16.57.58 72882 522 2340 TDP_359_c Control 6
## 287 6 16.58.55 129711 604 2547 TDP_22_c Control 6
## 288 6 17.01.37 82020 579 1808 TDP_359_c Drought 6
## 289 6 17.02.30 83489 705 2625 TDP_359_c Drought 6
## 290 6 17.03.33 48533 386 1725 TDP_22_c Drought 6
## 291 8 13.16.07 557279 711 5329 TDP_2 Control 8
## 292 8 13.19.59 103970 422 2459 TDP_2 Drought 8
## 293 8 13.22.21 648385 1040 5126 TDP_22 Control 8
## 294 8 13.23.47 450538 1049 4281 TDP_25 Control 8
## 295 8 13.25.18 100803 709 3837 TDP_22 Drought 8
## 296 8 13.26.41 428535 1018 4159 TDP_25 Control 8
## 297 8 13.27.45 104788 1176 2352 TDP_25 Drought 8
## 298 8 13.29.37 700491 693 4370 TDP_27 Control 8
## 299 8 13.30.47 410698 809 3472 TDP_33 Control 8
## 300 8 13.31.58 412565 912 3326 TDP_34 Control 8
## 301 8 13.33.17 208948 972 3462 TDP_36 Control 8
## 302 8 13.34.14 246097 401 3110 TDP_27 Drought 8
## 303 8 13.35.10 199630 646 3623 TDP_33 Drought 8
## 304 8 13.36.05 95887 790 2293 TDP_34 Drought 8
## 305 8 13.37.25 50778 684 2137 TDP_36 Drought 8
## 306 8 13.39.27 244071 697 3741 TDP_37 Control 8
## 307 8 13.40.37 419083 730 4328 TDP_38 Control 8
## 308 8 13.41.54 248547 812 3706 TDP_39 Control 8
## 309 8 13.43.00 356545 593 4245 TDP_71 Drought 8
## 310 8 13.44.10 246456 897 4193 TDP_42 Control 8
## 311 8 13.45.07 303040 873 3755 TDP_37 Drought 8
## 312 8 13.46.32 186224 463 3114 TDP_38 Drought 8
## 313 8 13.47.24 206892 867 3062 TDP_39 Drought 8
## 314 8 13.48.25 125644 676 2934 TDP_41 Drought 8
## 315 8 13.50.00 79295 586 2551 TDP_42 Drought 8
## 316 8 13.51.22 496355 1079 4115 TDP_43 Control 8
## 317 8 13.52.31 584770 844 5732 TDP_44 Control 8
## 318 8 13.53.45 211349 996 4265 TDP_49 Control 8
## 319 8 13.54.45 249329 684 3506 TDP_43 Drought 8
## 320 8 13.55.36 130096 700 2509 TDP_44 Drought 8
## 321 8 13.57.18 113172 1020 2898 TDP_49 Drought 8
## 322 8 13.58.41 127191 810 3541 TDP_54 Control 8
## 323 8 14.00.03 320297 808 3522 TDP_55 Control 8
## 324 8 14.02.08 551307 1109 4876 TDP_56 Control 8
## 325 8 14.03.42 511519 1180 3597 TDP_57 Control 8
## 326 8 14.05.22 389414 1061 4434 TDP_58 Control 8
## 327 8 14.06.24 83504 972 2871 TDP_54 Drought 8
## 328 8 14.07.55 138703 882 3145 TDP_55 Drought 8
## 329 8 14.09.18 239082 861 3270 TDP_56 Drought 8
## 330 8 14.11.06 233151 876 3099 TDP_57 Drought 8
## 331 8 14.12.06 87406 810 2646 TDP_58 Drought 8
## 332 8 14.13.53 212660 884 3475 TDP_60 Control 8
## 333 8 14.15.06 292499 627 3899 TDP_61 Control 8
## 334 8 14.15.58 356066 802 4611 TDP_62 Control 8
## 335 8 14.17.13 206255 693 3747 TDP_65 Control 8
## 336 8 14.18.04 142424 621 2721 TDP_63 Control 8
## 337 8 14.19.26 111990 1057 2179 TDP_60 Drought 8
## 338 8 14.20.48 103914 653 3127 TDP_61 Drought 8
## 339 8 14.23.40 99653 617 2472 TDP_62 Drought 8
## 340 8 14.25.18 53194 775 2486 TDP_65 Drought 8
## 341 8 14.26.33 34017 777 1710 TDP_63 Drought 8
## 342 8 14.27.44 266722 929 5193 TDP_68 Control 8
## 343 8 14.28.38 446403 781 4785 TDP_69 Control 8
## 344 8 14.29.30 178913 792 3785 TDP_70 Control 8
## 345 8 14.30.24 265027 835 3634 TDP_71 Control 8
## 346 8 14.31.14 83850 964 3066 TDP_68 Drought 8
## 347 8 15.14.13 155725 840 3059 TDP_69 Drought 8
## 348 8 15.15.45 60721 721 2800 TDP_70 Drought 8
## 349 8 15.17.19 119044 1015 2618 TDP_71 Drought 8
## 350 8 15.18.24 296851 1038 4108 TDP_74 Control 8
## 351 8 15.19.25 242460 628 2861 TDP_78 Control 8
## 352 8 15.21.08 332602 632 4105 TDP_79 Control 8
## 353 8 15.22.12 193268 688 2774 TDP_80 Control 8
## 354 8 15.23.10 29458 501 1494 TDP_74 Drought 8
## 355 8 15.24.06 131759 618 4150 TDP_78 Drought 8
## 356 8 15.25.04 172128 579 3663 TDP_79 Drought 8
## 357 8 15.26.16 107696 750 2670 TDP_80 Drought 8
## 358 8 15.27.34 156054 987 3313 TDP_359_c Control 8
## 359 8 15.28.42 120805 760 2497 TDP_359_c Control 8
## 360 8 15.29.47 189429 862 3024 TDP_22_c Control 8
## 361 8 15.31.27 65413 609 1991 TDP_359_c Drought 8
## 362 8 15.32.54 63443 797 2803 TDP_359_c Drought 8
## 363 8 15.34.36 56126 425 1770 TDP_22_c Drought 8
## 364 10 11.57.20 745139 1030 6015 TDP_2 Control 10
## 365 10 11.58.16 154267 560 2630 TDP_2 Drought 10
## 366 10 11.59.16 713175 1148 5387 TDP_22 Control 10
## 367 10 12.00.20 511582 1174 4184 TDP_25 Control 10
## 368 10 12.01.23 120458 738 4000 TDP_22 Drought 10
## 369 10 12.02.15 144965 1200 2425 TDP_25 Drought 10
## 370 10 12.04.10 671660 764 5213 TDP_27 Control 10
## 371 10 12.05.46 471114 866 4100 TDP_33 Control 10
## 372 10 12.06.59 468630 772 3664 TDP_34 Control 10
## 373 10 12.07.56 263913 728 3740 TDP_36 Control 10
## 374 10 12.08.48 291991 388 3180 TDP_27 Drought 10
## 375 10 12.10.04 229032 492 4203 TDP_33 Drought 10
## 376 10 12.11.27 111164 563 2160 TDP_34 Drought 10
## 377 10 12.12.35 55787 830 2879 TDP_36 Drought 10
## 378 10 12.13.47 340108 921 3768 TDP_37 Control 10
## 379 10 12.14.53 517047 624 4574 TDP_38 Control 10
## 380 10 12.16.14 338906 840 3890 TDP_39 Control 10
## 381 10 12.17.05 508464 711 4321 TDP_71 Drought 10
## 382 10 12.18.41 337295 931 4296 TDP_42 Control 10
## 383 10 12.19.35 224783 689 4071 TDP_37 Drought 10
## 384 10 12.20.25 213197 647 3155 TDP_38 Drought 10
## 385 10 12.21.30 239174 883 3390 TDP_39 Drought 10
## 386 10 12.22.32 162946 866 2772 TDP_41 Drought 10
## 387 10 12.23.50 97508 648 2534 TDP_42 Drought 10
## 388 10 12.30.16 654079 791 4112 TDP_43 Control 10
## 389 10 12.33.48 677811 985 4768 TDP_44 Control 10
## 390 10 12.34.42 304444 1126 4503 TDP_49 Control 10
## 391 10 12.36.34 298183 704 3442 TDP_43 Drought 10
## 392 10 12.37.29 127890 800 2725 TDP_44 Drought 10
## 393 10 12.41.20 201578 1059 3168 TDP_49 Drought 10
## 394 10 12.42.16 179178 979 4437 TDP_54 Control 10
## 395 10 12.43.49 410614 752 3774 TDP_55 Control 10
## 396 10 12.45.02 589905 902 4704 TDP_56 Control 10
## 397 10 12.47.35 611197 1036 5696 TDP_57 Control 10
## 398 10 12.49.21 558973 1093 4556 TDP_58 Control 10
## 399 10 12.50.11 115001 1011 2789 TDP_54 Drought 10
## 400 10 12.51.09 208615 747 3586 TDP_55 Drought 10
## 401 10 12.52.52 307818 728 3070 TDP_56 Drought 10
## 402 10 12.53.45 244701 680 3855 TDP_57 Drought 10
## 403 10 12.55.12 110570 551 2788 TDP_58 Drought 10
## 404 10 12.56.13 256104 708 4332 TDP_60 Control 10
## 405 10 12.57.47 354979 658 3870 TDP_61 Control 10
## 406 10 12.58.39 404529 835 4097 TDP_62 Control 10
## 407 10 12.59.46 233003 993 4062 TDP_65 Control 10
## 408 10 13.00.44 261735 639 2468 TDP_63 Control 10
## 409 10 13.01.34 116288 800 2373 TDP_60 Drought 10
## 410 10 13.02.25 100319 698 3115 TDP_61 Drought 10
## 411 10 13.03.54 124692 703 2330 TDP_62 Drought 10
## 412 10 13.06.10 66954 934 2470 TDP_65 Drought 10
## 413 10 13.07.12 36832 943 1693 TDP_63 Drought 10
## 414 10 13.08.03 296367 892 4402 TDP_68 Control 10
## 415 10 13.09.44 395139 754 4648 TDP_69 Control 10
## 416 10 13.10.53 231543 756 5026 TDP_70 Control 10
## 417 10 13.12.02 368348 1094 4593 TDP_71 Control 10
## 418 10 13.13.28 122686 1003 3186 TDP_68 Drought 10
## 419 10 13.16.04 163391 822 3206 TDP_69 Drought 10
## 420 10 13.17.15 103494 783 2833 TDP_70 Drought 10
## 421 10 13.18.35 131030 947 3749 TDP_71 Drought 10
## 422 10 13.19.33 329309 916 4547 TDP_74 Control 10
## 423 10 13.20.44 314655 710 3778 TDP_78 Control 10
## 424 10 13.21.59 389469 812 4561 TDP_79 Control 10
## 425 10 13.23.06 312274 681 3305 TDP_80 Control 10
## 426 10 13.23.58 36143 684 1858 TDP_74 Drought 10
## 427 10 13.25.22 174808 601 3796 TDP_78 Drought 10
## 428 10 13.26.13 214204 599 2696 TDP_79 Drought 10
## 429 10 13.27.13 96959 712 2748 TDP_80 Drought 10
## 430 10 13.28.47 196710 985 3483 TDP_359_c Control 10
## 431 10 13.29.38 147966 865 2721 TDP_359_c Control 10
## 432 10 13.30.57 336675 1253 3553 TDP_22_c Control 10
## 433 10 13.31.56 82210 584 2185 TDP_359_c Drought 10
## 434 10 13.32.47 87305 748 3352 TDP_359_c Drought 10
## 435 10 13.33.43 82428 478 2043 TDP_22_c Drought 10
## 436 12 14.49.21 1118035 980 6388 TDP_2 Control 12
## 437 12 14.51.15 209927 872 2959 TDP_2 Drought 12
## 438 12 14.59.43 991577 1083 5333 TDP_22 Control 12
## 439 12 15.02.55 759586 1279 4601 TDP_25 Control 12
## 440 12 15.03.52 161730 839 3935 TDP_22 Drought 12
## 441 12 15.04.50 144817 1180 2430 TDP_25 Drought 12
## 442 12 15.05.41 739726 888 5896 TDP_27 Control 12
## 443 12 15.07.23 557605 714 3992 TDP_33 Control 12
## 444 12 15.08.25 544999 814 4010 TDP_34 Control 12
## 445 12 15.09.15 364052 781 3815 TDP_36 Control 12
## 446 12 15.11.08 317827 421 3201 TDP_27 Drought 12
## 447 12 15.13.05 237082 546 3959 TDP_33 Drought 12
## 448 12 15.13.57 121158 672 2916 TDP_34 Drought 12
## 449 12 15.14.59 118431 701 2620 TDP_36 Drought 12
## 450 12 15.17.39 396941 805 4020 TDP_37 Control 12
## 451 12 15.20.00 536175 702 4860 TDP_38 Control 12
## 452 12 15.20.52 436420 810 4403 TDP_39 Control 12
## 453 12 15.22.24 727344 832 4022 TDP_41 Control 12
## 454 12 15.23.48 566050 984 4341 TDP_42 Control 12
## 455 12 15.24.48 232250 737 3953 TDP_37 Drought 12
## 456 12 15.25.39 223127 869 3310 TDP_38 Drought 12
## 457 12 15.26.30 269438 938 3346 TDP_39 Drought 12
## 458 12 15.30.00 191522 706 3345 TDP_41 Drought 12
## 459 12 15.31.01 108486 640 2813 TDP_42 Drought 12
## 460 12 15.32.17 720971 827 4345 TDP_43 Control 12
## 461 12 15.33.44 809732 946 4840 TDP_44 Control 12
## 462 12 15.34.58 422279 1260 4829 TDP_49 Control 12
## 463 12 15.36.27 291164 733 3541 TDP_43 Drought 12
## 464 12 15.38.11 134907 658 2529 TDP_44 Drought 12
## 465 12 15.39.43 254537 977 3097 TDP_49 Drought 12
## 466 12 15.40.44 229153 1080 4393 TDP_54 Control 12
## 467 12 15.42.45 509603 740 3818 TDP_55 Control 12
## 468 12 15.46.56 272925 1090 4484 TDP_54 Control 12
## 469 12 15.49.36 550689 754 3799 TDP_55 Control 12
## 470 12 15.51.00 885357 963 4231 TDP_56 Control 12
## 471 12 15.52.01 782952 929 4776 TDP_57 Control 12
## 472 12 15.53.39 804314 1106 4467 TDP_58 Control 12
## 473 12 15.54.54 145306 1080 2796 TDP_54 Drought 12
## 474 12 15.55.59 237788 862 3413 TDP_55 Drought 12
## 475 12 15.57.25 309523 740 2938 TDP_56 Drought 12
## 476 12 15.58.55 262851 827 3852 TDP_57 Drought 12
## 477 12 16.00.08 152197 588 2964 TDP_58 Drought 12
## 478 12 16.01.06 356684 634 4132 TDP_60 Control 12
## 479 12 16.02.05 433105 919 4360 TDP_61 Control 12
## 480 12 16.03.36 593036 828 4492 TDP_62 Control 12
## 481 12 16.07.46 413221 958 4142 TDP_65 Control 12
## 482 12 16.08.41 336136 1092 3066 TDP_63 Control 12
## 483 12 16.09.43 123521 797 2362 TDP_60 Drought 12
## 484 12 16.10.46 94978 768 3049 TDP_61 Drought 12
## 485 12 16.11.40 162670 672 2990 TDP_62 Drought 12
## 486 12 16.12.54 67506 955 2369 TDP_65 Drought 12
## 487 12 16.13.58 45434 902 1884 TDP_63 Drought 12
## 488 12 16.15.12 413498 908 4743 TDP_68 Control 12
## 489 12 16.16.03 444087 838 4706 TDP_69 Control 12
## 490 12 16.17.16 391882 770 4403 TDP_70 Control 12
## 491 12 16.18.11 476413 874 4078 TDP_71 Control 12
## 492 12 16.19.32 141349 1000 2949 TDP_68 Drought 12
## 493 12 16.20.33 170244 937 3232 TDP_69 Drought 12
## 494 12 16.21.24 104998 881 3004 TDP_70 Drought 12
## 495 12 16.23.38 142686 993 2874 TDP_71 Drought 12
## 496 12 16.24.38 474886 1012 4185 TDP_74 Control 12
## 497 12 16.25.52 529023 654 4147 TDP_78 Control 12
## 498 12 16.27.00 536163 973 5064 TDP_79 Control 12
## 499 12 16.28.08 361633 696 3698 TDP_80 Control 12
## 500 12 16.29.02 64244 841 1876 TDP_74 Drought 12
## 501 12 16.29.53 240718 588 3746 TDP_78 Drought 12
## 502 12 16.30.57 222712 690 3013 TDP_79 Drought 12
## 503 12 16.32.07 133272 903 2675 TDP_80 Drought 12
## 504 12 16.33.29 278324 1105 3468 TDP_359_c Control 12
## 505 12 16.36.41 184696 1032 2920 TDP_359_c Control 12
## 506 12 16.37.44 502755 831 4224 TDP_22_c Control 12
## 507 12 16.40.27 120856 632 2073 TDP_359_c Drought 12
## 508 12 16.41.28 124301 788 3987 TDP_359_c Drought 12
## 509 12 16.42.46 151240 505 2557 TDP_22_c Drought 12
## 510 14 10.22.45 1296104 1185 7103 TDP_2 Control 14
## 511 14 10.25.33 253117 639 3205 TDP_2 Drought 14
## 512 14 10.31.10 1135760 1154 5244 TDP_22 Control 14
## 513 14 10.35.40 836873 1357 4782 TDP_25 Control 14
## 514 14 10.37.00 167287 593 3869 TDP_22 Drought 14
## 515 14 10.38.20 167668 1169 2984 TDP_25 Drought 14
## 516 14 10.40.16 947579 853 6083 TDP_27 Control 14
## 517 14 10.41.12 594958 878 4260 TDP_33 Control 14
## 518 14 10.42.20 630489 793 4040 TDP_34 Control 14
## 519 14 10.43.26 388345 833 4054 TDP_36 Control 14
## 520 14 10.45.10 393971 461 3433 TDP_27 Drought 14
## 521 14 10.46.24 261545 567 3779 TDP_33 Drought 14
## 522 14 10.47.33 130198 564 2546 TDP_34 Drought 14
## 523 14 10.48.59 93208 538 2442 TDP_36 Drought 14
## 524 14 10.49.59 524112 968 4225 TDP_37 Control 14
## 525 14 10.51.30 676765 662 4868 TDP_38 Control 14
## 526 14 10.55.44 506855 730 4105 TDP_39 Control 14
## 527 14 10.56.58 867294 859 4566 TDP_71 Drought 14
## 528 14 10.57.56 561590 1015 4932 TDP_42 Control 14
## 529 14 10.58.52 279639 733 4208 TDP_37 Drought 14
## 530 14 10.59.56 218573 573 3180 TDP_38 Drought 14
## 531 14 11.01.11 280328 949 3410 TDP_39 Drought 14
## 532 14 11.02.24 224920 785 3466 TDP_41 Drought 14
## 533 14 11.03.35 126348 590 2636 TDP_42 Drought 14
## 534 14 11.05.06 868635 830 4186 TDP_43 Control 14
## 535 14 11.06.12 893852 945 4663 TDP_44 Control 14
## 536 14 11.07.34 470843 1252 4958 TDP_49 Control 14
## 537 14 11.08.29 343970 848 3584 TDP_43 Drought 14
## 538 14 11.09.32 161500 703 2511 TDP_44 Drought 14
## 539 14 11.10.43 320751 948 3372 TDP_49 Drought 14
## 540 14 11.11.53 294703 974 4543 TDP_54 Control 14
## 541 14 11.13.08 540366 800 3846 TDP_55 Control 14
## 542 14 11.14.29 835837 898 5315 TDP_56 Control 14
## 543 14 11.15.54 868177 978 4551 TDP_57 Control 14
## 544 14 11.16.55 908277 1223 4480 TDP_58 Control 14
## 545 14 11.18.12 156431 1068 2875 TDP_54 Drought 14
## 546 14 11.19.09 233667 805 3088 TDP_55 Drought 14
## 547 14 11.20.01 335737 751 3235 TDP_56 Drought 14
## 548 14 11.21.13 306303 736 3340 TDP_57 Drought 14
## 549 14 11.22.50 175814 650 2994 TDP_58 Drought 14
## 550 14 11.24.06 408960 756 4018 TDP_60 Control 14
## 551 14 11.25.41 481370 856 4480 TDP_61 Control 14
## 552 14 11.26.34 612011 1005 4856 TDP_62 Control 14
## 553 14 11.28.10 360120 989 4379 TDP_65 Control 14
## 554 14 11.29.16 401878 806 3142 TDP_63 Control 14
## 555 14 11.30.12 153048 785 2345 TDP_60 Drought 14
## 556 14 11.31.08 115961 863 2920 TDP_61 Drought 14
## 557 14 11.32.47 165954 599 3039 TDP_62 Drought 14
## 558 14 11.34.12 76719 842 2359 TDP_65 Drought 14
## 559 14 11.47.52 61918 895 2049 TDP_63 Drought 14
## 560 14 11.48.48 507061 964 5283 TDP_68 Control 14
## 561 14 11.49.52 568941 852 5417 TDP_69 Control 14
## 562 14 11.51.17 347939 727 4459 TDP_70 Control 14
## 563 14 11.52.32 491288 1027 4300 TDP_71 Control 14
## 564 14 11.54.13 128526 952 3200 TDP_68 Drought 14
## 565 14 11.55.21 174575 930 3592 TDP_69 Drought 14
## 566 14 11.56.38 120379 859 3043 TDP_70 Drought 14
## 567 14 11.57.51 155431 876 2904 TDP_71 Drought 14
## 568 14 11.58.42 483877 1008 4423 TDP_74 Control 14
## 569 14 11.59.33 468011 808 4175 TDP_78 Control 14
## 570 14 12.00.33 737082 908 6619 TDP_79 Control 14
## 571 14 12.02.25 474214 791 3912 TDP_80 Control 14
## 572 14 12.03.27 68443 855 2023 TDP_74 Drought 14
## 573 14 12.04.29 277640 754 3707 TDP_78 Drought 14
## 574 14 12.05.34 237084 843 3572 TDP_79 Drought 14
## 575 14 12.06.26 130523 742 2658 TDP_80 Drought 14
## 576 14 12.07.25 305295 913 3932 TDP_359_c Control 14
## 577 14 12.08.16 253684 851 3417 TDP_359_c Control 14
## 578 14 12.09.07 566743 845 4857 TDP_22_c Control 14
## 579 14 12.09.58 118849 614 2424 TDP_359_c Drought 14
## 580 14 12.10.49 113630 796 4705 TDP_359_c Drought 14
## 581 14 12.11.40 188890 523 2555 TDP_22_c Drought 14plot(data_sum$Area.sum ~ data_sum$days)
# write.csv(data_sum, "data_sum.csv")data_sum$Ex <- 1Assign levels
Drop rows with missing values
cumm_data_clean <- data_sum %>% drop_na()
cumm_data_clean$Treatment <- factor(cumm_data_clean$Treatment, levels = c("Control","Drought"))We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
cumm_data_clean$sid <- paste0(cumm_data_clean$Accession, "_", substr(cumm_data_clean$Treatment, 1, 1))
cumm_data_clean$sid <- paste0(cumm_data_clean$sid, "_1")Ex1_Write cumm_data_clean into new file as final_Ex1
write.csv(cumm_data_clean, "final_Ex1.csv") ######################### Ex2 ##########################Loading all days processed images from Ex2.
d0 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex2_Results\\Results_Ex2_010123.csv",'show_col_types' = 'FALSE')
d2 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex2_Results\\Results_Ex2_010323.csv",'show_col_types' = 'FALSE')
d4 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex2_Results\\Results_Ex2_010523.csv",'show_col_types' = 'FALSE')
d6 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex2_Results\\Results_Ex2_010723.csv",'show_col_types' = 'FALSE')
d8 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex2_Results\\Results_Ex2_010923.csv", 'show_col_types' = 'FALSE')
d10 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex2_Results\\Results_Ex2_122622.csv",'show_col_types' = 'FALSE')
d12 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex2_Results\\Results_Ex2_122822.csv", 'show_col_types' = 'FALSE')
d14 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex2_Results\\Results_Ex2_123022.csv",'show_col_types' = 'FALSE')Bind all days together
comb <- rbind(d0, d2, d4, d6, d8, d10, d12,d14)Load potnames2 which has pot number,pot tag, accession names and treatment.
potnames2 <- read_xlsx("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex2_Results\\potnames2.xlsx")Combining two sheets by matching potnumber and pot tag
h <- inner_join(comb,potnames2,by=c("Pot_no"="PotTag"))
h## # A tibble: 2,240 x 8
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
## 1 2023.01.01-15.06~ 45260 764 440 101 1 TDP_83 Control
## 2 2023.01.01-15.06~ 68705 769 662 101 1 TDP_83 Control
## 3 2023.01.01-15.06~ 128908 795 721 101 1 TDP_83 Control
## 4 2023.01.01-15.06~ 100881 797 555 101 1 TDP_83 Control
## 5 2023.01.01-15.06~ 55841 779 594 101 1 TDP_83 Control
## 6 2023.01.01-15.06~ 67969 781 697 101 1 TDP_83 Control
## 7 2023.01.01-15.06~ 60761 767 488 101 1 TDP_83 Control
## 8 2023.01.01-15.08~ 57888 921 456 102 2 TDP_84 Control
## 9 2023.01.01-15.08~ 40482 876 531 102 2 TDP_84 Control
## 10 2023.01.01-15.08~ 23508 818 461 102 2 TDP_84 Control
## # i 2,230 more rowsSplit the date and time and isolate both DATE and TIMESTAMP
h <- h %>%
mutate(date = str_extract(Image_name, "\\d{4}\\.\\d{2}\\.\\d{2}"),
timestamp = str_extract(Image_name, "\\d{2}\\.\\d{2}\\.\\d{2}(?=\\.)"))Calculate cumulative area from 7 different angles AND maximum width and height
Subset for one plant
today <- subset(h, h$date == unique(h$date)[1])
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[1])
one_plant## # A tibble: 7 x 10
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment date
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <chr>
## 1 2023.01.01-~ 45260 764 440 101 1 TDP_83 Control 2023~
## 2 2023.01.01-~ 68705 769 662 101 1 TDP_83 Control 2023~
## 3 2023.01.01-~ 128908 795 721 101 1 TDP_83 Control 2023~
## 4 2023.01.01-~ 100881 797 555 101 1 TDP_83 Control 2023~
## 5 2023.01.01-~ 55841 779 594 101 1 TDP_83 Control 2023~
## 6 2023.01.01-~ 67969 781 697 101 1 TDP_83 Control 2023~
## 7 2023.01.01-~ 60761 767 488 101 1 TDP_83 Control 2023~
## # i 1 more variable: timestamp <chr>AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
Calculate Area.sum, max width and max height for one_plant
sum(one_plant$Area)## [1] 528325max(one_plant$Width)## [1] 721max(one_plant$Height)## [1] 797Adding measurement to an empty table
Create a df called data_sum
names <- c("DATE", "TIME", "Area.sum", "Height.max", "Width.max")
data_sum <- data.frame()
for (k in names) data_sum[[k]] <- as.character()
data_sum[1,1] <- one_plant$date[1]
data_sum[1,2] <- one_plant$timestamp[1]
data_sum[1,3] <- sum(one_plant$Area)
data_sum[1,4] <- max(one_plant$Height)
data_sum[1,5] <- sum(one_plant$Width)
data_sum[1, c("Accession", "Treatment")] <- h[1, c("Accession", "Treatment")]
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment
## 1 2023.01.01 15.06.49 528325 797 4157 TDP_83 ControlLooping for all
count <- 1
for(d in 1:length(unique(h$date))){
today <- subset(h, h$date == unique(h$date)[d])
for(t in 1:length(unique(today$timestamp))){
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[t])
if (nrow(one_plant) > 0) {
data_sum[count,1] <- one_plant$date[1]
data_sum[count,2] <- one_plant$timestamp[1]
data_sum[count,3] <- sum(one_plant$Area)
data_sum[count,4] <- max(one_plant$Height)
data_sum[count,5] <- sum(one_plant$Width)
data_sum[count, "Treatment"] <- one_plant$Treatment[1]
data_sum[count, "Accession"] <- one_plant$Accession[1]
count <- count + 1
}
}
}Assign values to “days” column based on specific dates
Assign days from 0 to 14 in corresponding dates
data_sum$days[data_sum$DATE == "2022.12.26"] <- 0
data_sum$days[data_sum$DATE == "2022.12.28"] <- 2
data_sum$days[data_sum$DATE == "2022.12.30"] <- 4
data_sum$days[data_sum$DATE == "2023.01.01"] <- 6
data_sum$days[data_sum$DATE == "2023.01.03"] <- 8
data_sum$days[data_sum$DATE == "2023.01.05"] <- 10
data_sum$days[data_sum$DATE == "2023.01.07"] <- 12
data_sum$days[data_sum$DATE == "2023.01.09"] <- 14Check no of sides
dim(h)[1] / dim(data_sum)[1]## [1] 7.344262Plot Area.sum and Date
data_sum$Area.sum <- as.numeric(as.character(data_sum$Area.sum))
min(data_sum$Area.sum)## [1] 10897unique(data_sum$DATE)## [1] "2023.01.01" "2023.01.03" "2023.01.05" "2023.01.07" "2023.01.09"
## [6] "2022.12.26" "2022.12.28" "2022.12.30"# data_sum$DATE <- gsub("2022.12.", "", data_sum$DATE)
# data_sum$DATE <- gsub("2023.01.", "", data_sum$DATE)
data_sum$DATE <- as.numeric(as.character(data_sum$days))
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment days
## 1 6 15.06.49 528325 797 4157 TDP_83 Control 6
## 2 6 15.08.06 297176 945 3481 TDP_84 Control 6
## 3 6 15.09.58 251587 648 4144 TDP_88 Control 6
## 4 6 15.10.57 215679 719 3560 TDP_92 Control 6
## 5 6 15.14.55 245322 669 2743 TDP_83 Drought 6
## 6 6 15.15.50 55255 656 2978 TDP_84 Drought 6
## 7 6 15.17.39 224305 414 4111 TDP_88 Drought 6
## 8 6 15.19.13 42497 578 3017 TDP_92 Drought 6
## 9 6 15.20.24 203116 692 4219 TDP_94 Control 6
## 10 6 15.21.44 41861 757 1611 TDP_95 Control 6
## 11 6 15.22.42 88686 366 2440 TDP_97 Control 6
## 12 6 15.24.21 821717 1137 4668 TDP_98 Control 6
## 13 6 15.25.32 535321 1106 4606 TDP_99 Control 6
## 14 6 15.26.38 99036 725 3299 TDP_94 Drought 6
## 15 6 15.27.45 34131 735 2056 TDP_95 Drought 6
## 16 6 15.29.07 195718 697 2955 TDP_97 Drought 6
## 17 6 15.31.02 154881 1058 4051 TDP_98 Drought 6
## 18 6 15.32.25 178053 1071 2288 TDP_99 Drought 6
## 19 6 15.33.14 443905 955 3613 TDP_101 Control 6
## 20 6 15.34.08 172901 919 3247 TDP_102 Control 6
## 21 6 15.35.12 694009 1190 3919 TDP_103 Control 6
## 22 6 15.36.10 353195 1154 3569 TDP_104 Control 6
## 23 6 15.37.09 309034 1184 3406 TDP_101 Drought 6
## 24 6 15.38.05 248467 1265 2784 TDP_102 Drought 6
## 25 6 15.38.58 396056 1145 3379 TDP_103 Drought 6
## 26 6 15.40.13 496769 1007 3301 TDP_104 Drought 6
## 27 6 15.41.07 689897 1176 4515 TDP_105 Control 6
## 28 6 15.42.51 1087391 1441 5208 TDP_106 Control 6
## 29 6 15.43.42 752496 1140 4359 TDP_105 Control 6
## 30 6 15.45.11 787037 1181 3920 TDP_108 Control 6
## 31 6 15.46.29 399659 1009 4082 TDP_109 Control 6
## 32 6 15.47.26 409777 1153 4123 TDP_110 Control 6
## 33 6 15.48.39 307281 1162 3285 TDP_105 Drought 6
## 34 6 15.49.43 398010 1150 3469 TDP_106 Drought 6
## 35 6 15.50.59 452366 1099 3422 TDP_108 Drought 6
## 36 6 15.52.11 415581 1244 3407 TDP_109 Drought 6
## 37 6 15.53.07 283425 756 3473 TDP_110 Drought 6
## 38 6 15.55.53 108131 712 2910 TDP_359_c Drought 6
## 39 8 11.46.53 607511 716 4277 TDP_83 Control 8
## 40 8 11.48.15 414765 842 3692 TDP_84 Control 8
## 41 8 11.49.30 317263 802 3608 TDP_88 Control 8
## 42 8 11.50.55 352215 938 3687 TDP_92 Control 8
## 43 8 11.52.05 256388 710 2728 TDP_83 Drought 8
## 44 8 11.53.34 79044 579 2926 TDP_84 Drought 8
## 45 8 11.54.26 343374 444 3752 TDP_88 Drought 8
## 46 8 11.55.25 45720 586 3251 TDP_92 Drought 8
## 47 8 11.56.28 344752 694 4641 TDP_94 Control 8
## 48 8 11.57.29 58400 645 2281 TDP_95 Control 8
## 49 8 11.58.26 165027 397 3175 TDP_97 Control 8
## 50 8 11.59.40 1106784 1107 4862 TDP_98 Control 8
## 51 8 12.00.56 791917 1140 4769 TDP_99 Control 8
## 52 8 12.02.05 128252 735 3306 TDP_94 Drought 8
## 53 8 12.03.08 46690 741 2096 TDP_95 Drought 8
## 54 8 12.04.10 285613 368 3342 TDP_97 Drought 8
## 55 8 12.05.11 231871 1050 3280 TDP_98 Drought 8
## 56 8 12.06.48 201215 1085 2513 TDP_99 Drought 8
## 57 8 12.07.46 609529 979 3804 TDP_101 Control 8
## 58 8 12.08.40 271495 1003 3418 TDP_102 Control 8
## 59 8 12.09.54 930283 1155 4369 TDP_103 Control 8
## 60 8 12.11.15 482567 1063 3839 TDP_104 Control 8
## 61 8 12.12.38 375146 1060 3564 TDP_101 Drought 8
## 62 8 12.14.39 303628 1013 2921 TDP_102 Drought 8
## 63 8 12.15.49 502622 1180 3910 TDP_103 Drought 8
## 64 8 12.17.05 492066 1125 3278 TDP_104 Drought 8
## 65 8 12.18.16 1037207 1207 4341 TDP_105 Control 8
## 66 8 12.19.36 1329217 1104 5106 TDP_106 Control 8
## 67 8 12.20.48 1007038 1178 4209 TDP_108 Control 8
## 68 8 12.21.46 526851 1136 4449 TDP_109 Control 8
## 69 8 12.22.56 561830 1267 5110 TDP_110 Control 8
## 70 8 12.24.01 361528 1102 3605 TDP_105 Drought 8
## 71 8 12.25.24 414287 1092 3408 TDP_106 Drought 8
## 72 8 12.26.43 515222 1168 3339 TDP_108 Drought 8
## 73 8 12.28.00 498057 949 3964 TDP_109 Drought 8
## 74 8 12.28.51 382936 743 3893 TDP_110 Drought 8
## 75 8 12.29.42 272803 690 2847 TDP_359_c Control 8
## 76 8 12.31.52 111139 776 2983 TDP_359_c Drought 8
## 77 10 09.57.33 787011 864 4834 TDP_83 Control 10
## 78 10 09.59.20 483223 805 4530 TDP_84 Control 10
## 79 10 10.00.28 301394 740 3880 TDP_88 Control 10
## 80 10 10.01.58 436650 882 4134 TDP_92 Control 10
## 81 10 10.03.05 258865 681 2726 TDP_83 Drought 10
## 82 10 10.04.18 93902 577 3049 TDP_84 Drought 10
## 83 10 10.05.55 284788 611 4172 TDP_88 Drought 10
## 84 10 10.06.59 50718 667 3242 TDP_92 Drought 10
## 85 10 10.08.09 489024 776 4555 TDP_94 Control 10
## 86 10 10.10.10 72726 686 2486 TDP_95 Control 10
## 87 10 10.15.26 218430 534 3624 TDP_97 Control 10
## 88 10 10.16.44 1187647 1230 5424 TDP_98 Control 10
## 89 10 10.18.00 880284 1170 5317 TDP_99 Control 10
## 90 10 10.19.09 116796 685 3326 TDP_94 Drought 10
## 91 10 10.20.01 48941 729 2202 TDP_95 Drought 10
## 92 10 10.20.55 277494 718 3848 TDP_97 Drought 10
## 93 10 10.21.49 261139 1224 3436 TDP_98 Drought 10
## 94 10 10.23.07 188075 1081 2832 TDP_99 Drought 10
## 95 10 10.24.52 777627 1202 4149 TDP_101 Control 10
## 96 10 10.25.49 411593 1153 3635 TDP_102 Control 10
## 97 10 10.26.41 996360 1157 4615 TDP_103 Control 10
## 98 10 10.27.40 572628 1263 4102 TDP_104 Control 10
## 99 10 10.28.38 459981 1262 3618 TDP_101 Drought 10
## 100 10 10.30.03 268655 1030 3020 TDP_102 Drought 10
## 101 10 10.32.02 454115 1145 3990 TDP_103 Drought 10
## 102 10 10.33.09 509409 1161 3563 TDP_104 Drought 10
## 103 10 10.34.26 1139615 1268 5005 TDP_105 Control 10
## 104 10 10.36.03 1438421 1262 5859 TDP_106 Control 10
## 105 10 10.38.10 1237299 1263 4332 TDP_108 Control 10
## 106 10 10.39.20 741641 1013 4661 TDP_109 Control 10
## 107 10 10.41.37 751998 1161 4666 TDP_110 Control 10
## 108 10 10.43.11 430752 1167 3753 TDP_105 Drought 10
## 109 10 10.44.24 502858 1259 3386 TDP_106 Drought 10
## 110 10 10.45.43 519595 1223 3755 TDP_108 Drought 10
## 111 10 10.47.04 534047 1093 3936 TDP_109 Drought 10
## 112 10 10.48.35 379962 688 4200 TDP_110 Drought 10
## 113 10 10.49.38 330317 690 3237 TDP_359_c Control 10
## 114 10 10.51.45 127321 714 3160 TDP_359_c Drought 10
## 115 12 11.35.00 973908 898 4902 TDP_83 Control 12
## 116 12 11.36.07 632812 819 5189 TDP_84 Control 12
## 117 12 11.37.01 456487 859 3914 TDP_88 Control 12
## 118 12 11.38.14 493995 902 4269 TDP_92 Control 12
## 119 12 11.39.15 328905 710 2804 TDP_83 Drought 12
## 120 12 11.41.02 142487 711 3046 TDP_84 Drought 12
## 121 12 11.42.10 553796 600 3858 TDP_88 Drought 12
## 122 12 11.43.32 55253 780 3347 TDP_92 Drought 12
## 123 12 11.44.40 684726 756 5307 TDP_94 Control 12
## 124 12 11.45.34 129994 815 2786 TDP_95 Control 12
## 125 12 11.46.32 364008 778 4074 TDP_97 Control 12
## 126 12 11.48.20 1538471 1272 5731 TDP_98 Control 12
## 127 12 11.49.20 1112706 1218 5614 TDP_99 Control 12
## 128 12 11.50.30 203440 730 3549 TDP_94 Drought 12
## 129 12 11.51.38 63372 731 2161 TDP_95 Drought 12
## 130 12 11.52.43 340436 672 3194 TDP_97 Drought 12
## 131 12 11.54.03 368653 1076 3303 TDP_98 Drought 12
## 132 12 11.55.58 324342 1129 3157 TDP_99 Drought 12
## 133 12 11.56.54 1055663 1264 4217 TDP_101 Control 12
## 134 12 11.58.02 589962 1040 3808 TDP_102 Control 12
## 135 12 11.59.53 1209319 1188 4959 TDP_103 Control 12
## 136 12 12.00.46 827019 1119 4444 TDP_104 Control 12
## 137 12 12.01.40 523204 1335 3477 TDP_101 Drought 12
## 138 12 12.02.32 347953 990 3134 TDP_102 Drought 12
## 139 12 12.03.45 619210 1262 3442 TDP_103 Drought 12
## 140 12 12.05.02 560275 1154 4096 TDP_104 Drought 12
## 141 12 12.05.55 1234770 1265 5128 TDP_105 Control 12
## 142 12 12.07.39 1669897 1262 5632 TDP_106 Control 12
## 143 12 12.08.31 1352272 1274 4621 TDP_108 Control 12
## 144 12 12.09.24 1045689 980 4819 TDP_109 Control 12
## 145 12 12.10.18 727739 1097 4704 TDP_110 Control 12
## 146 12 12.11.15 507071 1215 3535 TDP_105 Drought 12
## 147 12 12.12.18 537898 1098 3331 TDP_106 Drought 12
## 148 12 12.13.28 620343 1259 3450 TDP_108 Drought 12
## 149 12 12.14.19 554085 1055 4004 TDP_109 Drought 12
## 150 12 12.15.39 485826 782 4051 TDP_110 Drought 12
## 151 12 12.16.30 458184 853 3586 TDP_359_c Control 12
## 152 12 12.55.39 155881 886 3535 TDP_359_c Drought 12
## 153 14 12.21.39 1049405 822 4914 TDP_83 Control 14
## 154 14 12.25.52 741267 887 5372 TDP_84 Control 14
## 155 14 12.27.16 583505 1065 4171 TDP_88 Control 14
## 156 14 12.28.25 630128 1044 4480 TDP_92 Control 14
## 157 14 12.29.33 638453 1048 4633 TDP_92 Control 14
## 158 14 12.30.43 333843 723 3012 TDP_83 Drought 14
## 159 14 12.32.50 167846 566 3917 TDP_84 Drought 14
## 160 14 12.35.18 550082 747 3946 TDP_88 Drought 14
## 161 14 12.38.01 65244 823 3621 TDP_92 Drought 14
## 162 14 12.39.44 819642 808 5018 TDP_94 Control 14
## 163 14 12.41.32 217423 682 2930 TDP_95 Control 14
## 164 14 12.42.54 713265 684 4295 TDP_97 Control 14
## 165 14 12.44.04 1694878 1190 7018 TDP_98 Control 14
## 166 14 12.45.11 1148249 1225 6058 TDP_99 Control 14
## 167 14 12.46.22 201217 747 3554 TDP_94 Drought 14
## 168 14 12.47.58 60415 745 2185 TDP_95 Drought 14
## 169 14 12.49.09 368300 405 3554 TDP_97 Drought 14
## 170 14 12.50.21 379701 1164 3383 TDP_98 Drought 14
## 171 14 12.51.59 300740 1129 3400 TDP_99 Drought 14
## 172 14 12.53.20 1189070 1280 4633 TDP_101 Control 14
## 173 14 12.54.17 731231 1051 3967 TDP_102 Control 14
## 174 14 12.55.14 1397508 1257 5292 TDP_103 Control 14
## 175 14 12.56.06 1008212 1208 4876 TDP_104 Control 14
## 176 14 12.57.16 538304 1302 3758 TDP_101 Drought 14
## 177 14 12.58.22 375694 1007 3027 TDP_102 Drought 14
## 178 14 12.59.41 533528 1258 3477 TDP_103 Drought 14
## 179 14 13.00.36 528174 1154 4115 TDP_104 Drought 14
## 180 14 13.01.35 1531509 1272 5510 TDP_105 Control 14
## 181 14 13.02.28 1846672 1172 5789 TDP_106 Control 14
## 182 14 13.03.20 1467433 1302 4845 TDP_108 Control 14
## 183 14 13.04.35 1304550 1156 5281 TDP_109 Control 14
## 184 14 13.05.27 816917 1182 5540 TDP_110 Control 14
## 185 14 13.06.24 506229 1267 3465 TDP_105 Drought 14
## 186 14 13.07.17 544536 1155 3380 TDP_106 Drought 14
## 187 14 13.08.11 607692 1292 3910 TDP_108 Drought 14
## 188 14 13.09.04 515913 1120 3924 TDP_109 Drought 14
## 189 14 13.09.55 432328 737 4059 TDP_110 Drought 14
## 190 14 13.10.46 568518 983 4111 TDP_359_c Control 14
## 191 14 13.12.34 172752 775 3227 TDP_359_c Drought 14
## 192 0 14.59.28 130368 609 2723 TDP_83 Control 0
## 193 0 15.00.40 62289 552 2151 TDP_84 Control 0
## 194 0 15.02.46 139050 628 2308 TDP_88 Control 0
## 195 0 15.04.30 106363 857 2725 TDP_92 Control 0
## 196 0 15.05.57 169257 711 2464 TDP_83 Drought 0
## 197 0 15.06.54 38261 566 2195 TDP_84 Drought 0
## 198 0 15.07.46 174844 696 3077 TDP_88 Drought 0
## 199 0 15.08.38 18363 380 2737 TDP_92 Drought 0
## 200 0 15.10.19 99095 458 1539 TDP_94 Control 0
## 201 0 15.11.10 11078 524 914 TDP_95 Control 0
## 202 0 15.12.25 10897 142 873 TDP_97 Control 0
## 203 0 15.13.18 296828 986 3804 TDP_98 Control 0
## 204 0 15.14.11 158288 978 2087 TDP_99 Control 0
## 205 0 15.15.08 98151 721 2738 TDP_94 Drought 0
## 206 0 15.16.03 27855 565 1923 TDP_95 Drought 0
## 207 0 15.17.01 57837 540 1891 TDP_97 Drought 0
## 208 0 15.18.33 81086 885 1875 TDP_98 Drought 0
## 209 0 15.20.03 135121 767 3341 TDP_99 Drought 0
## 210 0 15.21.00 176498 955 2494 TDP_101 Control 0
## 211 0 15.21.54 52884 1054 1759 TDP_102 Control 0
## 212 0 15.22.46 168581 1046 3069 TDP_103 Control 0
## 213 0 15.23.41 123473 1000 1998 TDP_104 Control 0
## 214 0 15.24.32 188927 1072 2962 TDP_101 Drought 0
## 215 0 15.25.28 187905 1080 1966 TDP_102 Drought 0
## 216 0 15.26.35 330659 1078 3497 TDP_103 Drought 0
## 217 0 15.27.26 329423 817 3086 TDP_104 Drought 0
## 218 0 15.28.27 218134 1068 2404 TDP_105 Control 0
## 219 0 15.29.21 393889 1046 4055 TDP_106 Control 0
## 220 0 15.30.16 183691 1141 2141 TDP_108 Control 0
## 221 0 15.31.09 223965 870 2834 TDP_109 Control 0
## 222 0 15.32.04 98257 967 2241 TDP_110 Control 0
## 223 0 15.33.21 133091 931 3262 TDP_105 Drought 0
## 224 0 15.35.06 161134 1036 2973 TDP_106 Drought 0
## 225 0 15.36.17 251572 1043 2729 TDP_108 Drought 0
## 226 0 15.37.10 275358 1046 3402 TDP_109 Drought 0
## 227 0 15.38.08 158271 1082 2537 TDP_110 Drought 0
## 228 0 15.40.43 39857 292 1461 TDP_359_c Control 0
## 229 0 15.41.35 77251 430 2453 TDP_359_c Drought 0
## 230 2 17.12.01 212052 611 3429 TDP_83 Control 2
## 231 2 17.13.07 73281 611 2653 TDP_84 Control 2
## 232 2 17.14.06 118767 703 3152 TDP_88 Control 2
## 233 2 17.15.00 146061 731 3298 TDP_92 Control 2
## 234 2 17.15.53 173911 679 2612 TDP_83 Drought 2
## 235 2 17.16.47 42440 653 2356 TDP_84 Drought 2
## 236 2 17.17.52 228943 704 3717 TDP_88 Drought 2
## 237 2 17.18.45 34994 469 2821 TDP_92 Drought 2
## 238 2 17.19.50 91283 603 2656 TDP_94 Control 2
## 239 2 17.20.54 15231 592 1104 TDP_95 Control 2
## 240 2 17.22.09 17567 182 1114 TDP_97 Control 2
## 241 2 17.23.31 462132 1161 4501 TDP_98 Control 2
## 242 2 17.24.34 252542 976 3172 TDP_99 Control 2
## 243 2 17.25.48 145768 872 3012 TDP_94 Drought 2
## 244 2 17.27.00 41199 695 1813 TDP_95 Drought 2
## 245 2 17.27.50 117164 639 2340 TDP_97 Drought 2
## 246 2 17.29.07 85094 966 2583 TDP_98 Drought 2
## 247 2 17.30.02 130606 801 2248 TDP_99 Drought 2
## 248 2 17.30.59 214927 1077 2961 TDP_101 Control 2
## 249 2 17.31.51 90040 818 2615 TDP_102 Control 2
## 250 2 17.33.21 292772 1164 3131 TDP_103 Control 2
## 251 2 17.34.27 177781 1011 2937 TDP_104 Control 2
## 252 2 17.35.26 210069 1031 3070 TDP_101 Drought 2
## 253 2 17.36.30 213218 1115 1836 TDP_102 Drought 2
## 254 2 17.37.40 307681 1107 3231 TDP_103 Drought 2
## 255 2 17.38.41 290276 1091 2877 TDP_104 Drought 2
## 256 2 17.39.43 320992 1259 3128 TDP_105 Control 2
## 257 2 17.40.47 559340 1114 4383 TDP_106 Control 2
## 258 2 17.41.40 298721 1090 3144 TDP_108 Control 2
## 259 2 17.42.46 246877 918 3152 TDP_109 Control 2
## 260 2 17.43.40 167720 1005 2842 TDP_110 Control 2
## 261 2 17.44.29 163537 999 3023 TDP_105 Drought 2
## 262 2 17.45.51 208185 1105 3153 TDP_106 Drought 2
## 263 2 17.47.03 319240 1224 2838 TDP_108 Drought 2
## 264 2 17.48.07 342535 1130 3338 TDP_109 Drought 2
## 265 2 17.49.25 249489 805 2545 TDP_110 Drought 2
## 266 2 17.50.57 69102 525 1764 TDP_359_c Control 2
## 267 2 17.53.31 128529 619 2827 TDP_359_c Drought 2
## 268 4 12.48.01 338024 650 3765 TDP_83 Control 4
## 269 4 12.49.31 164204 750 2961 TDP_84 Control 4
## 270 4 12.50.27 140291 650 3576 TDP_88 Control 4
## 271 4 12.51.20 163557 700 3340 TDP_92 Control 4
## 272 4 12.52.14 205909 719 2699 TDP_83 Drought 4
## 273 4 12.53.24 45744 591 2642 TDP_84 Drought 4
## 274 4 12.54.15 252654 450 3309 TDP_88 Drought 4
## 275 4 12.55.19 35187 546 3081 TDP_92 Drought 4
## 276 4 12.56.32 143863 836 3446 TDP_94 Control 4
## 277 4 12.57.36 23869 504 1511 TDP_95 Control 4
## 278 4 12.58.37 33708 265 1630 TDP_97 Control 4
## 279 4 12.59.32 558280 1069 4368 TDP_98 Control 4
## 280 4 13.00.58 333547 980 3971 TDP_99 Control 4
## 281 4 13.02.01 92183 629 3599 TDP_94 Drought 4
## 282 4 13.02.53 38429 717 1971 TDP_95 Drought 4
## 283 4 13.03.44 150537 571 2374 TDP_97 Drought 4
## 284 4 13.05.36 102582 1022 3473 TDP_98 Drought 4
## 285 4 13.06.40 160772 954 2155 TDP_99 Drought 4
## 286 4 13.08.22 303500 988 3218 TDP_101 Control 4
## 287 4 13.09.22 135125 762 2325 TDP_102 Control 4
## 288 4 13.10.13 420391 1139 3638 TDP_103 Control 4
## 289 4 13.11.10 204141 1158 3109 TDP_104 Control 4
## 290 4 13.12.24 274268 1154 3017 TDP_101 Drought 4
## 291 4 13.13.18 221044 1144 2136 TDP_102 Drought 4
## 292 4 13.14.09 340485 1074 3499 TDP_103 Drought 4
## 293 4 13.15.08 311095 1093 2956 TDP_104 Drought 4
## 294 4 13.16.00 428302 1076 3659 TDP_105 Control 4
## 295 4 13.18.22 797199 1283 4588 TDP_106 Control 4
## 296 4 13.19.13 526477 1131 3829 TDP_108 Control 4
## 297 4 13.22.32 262185 1020 4116 TDP_109 Control 4
## 298 4 13.23.42 231204 1102 2779 TDP_110 Control 4
## 299 4 13.24.33 191755 1035 3890 TDP_105 Drought 4
## 300 4 13.26.33 324290 1200 3229 TDP_106 Drought 4
## 301 4 13.27.29 335680 1256 3403 TDP_108 Drought 4
## 302 4 13.28.19 407648 1190 3369 TDP_109 Drought 4
## 303 4 13.29.22 289071 809 3097 TDP_110 Drought 4
## 304 4 13.30.48 97903 665 1997 TDP_359_c Control 4
## 305 4 13.32.51 105101 660 2807 TDP_359_c Drought 4plot(data_sum$Area.sum ~ data_sum$days)
# write.csv(data_sum, "data_sum.csv")data_sum$Ex <- 2Assign levels
Drop rows with missing values
cumm_data_clean <- data_sum %>% drop_na()
cumm_data_clean$Treatment <- factor(cumm_data_clean$Treatment, levels = c("Control","Drought"))We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
cumm_data_clean$sid <- paste0(cumm_data_clean$Accession, "_", substr(cumm_data_clean$Treatment, 1, 1))Ex2_Write cumm_data_clean into new file as final_Ex2
write.csv(cumm_data_clean, "final_Ex2.csv") ######################### Ex3 ##########################Loading all days processed images from Ex3
d0 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex3_Results\\Results_Ex3_011123.csv",'show_col_types' = 'FALSE')
d2 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex3_Results\\Results_Ex3_011323.csv",'show_col_types' = 'FALSE')
d4 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex3_Results\\Results_Ex3_011523.csv",'show_col_types' = 'FALSE')
d6 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex3_Results\\Results_Ex3_011723.csv",'show_col_types' = 'FALSE')
d8 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex3_Results\\Results_Ex3_011923.csv", 'show_col_types' = 'FALSE')
d10 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex3_Results\\Results_Ex3_012123.csv",'show_col_types' = 'FALSE')
d12 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex3_Results\\Results_Ex3_012323.csv", 'show_col_types' = 'FALSE')
d14 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex3_Results\\Results_Ex3_012523.csv",'show_col_types' = 'FALSE')Bind all days together
comb <- rbind(d0, d2, d4, d6, d8, d10, d12,d14)Load potnames3 which has pot number,pot tag, accession names and treatment
potnames3 <- read_xlsx("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex3_Results\\potnames3.xlsx")Combining two sheets by matching potnumber and pot tag
h <- inner_join(comb,potnames3,by=c("Pot_no"="PotTag"))
h## # A tibble: 3,248 x 8
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
## 1 2023.01.11-10.09.~ 3860 396 240 1 1 TDP_168 Control
## 2 2023.01.11-10.09.~ 4932 408 328 1 1 TDP_168 Control
## 3 2023.01.11-10.09.~ 2939 418 241 1 1 TDP_168 Control
## 4 2023.01.11-10.09.~ 1113 416 118 1 1 TDP_168 Control
## 5 2023.01.11-10.09.~ 5217 401 297 1 1 TDP_168 Control
## 6 2023.01.11-10.09.~ 5220 384 332 1 1 TDP_168 Control
## 7 2023.01.11-10.09.~ 2480 379 158 1 1 TDP_168 Control
## 8 2023.01.11-10.11.~ 7003 515 318 2 2 TDP_156 Control
## 9 2023.01.11-10.11.~ 8512 518 169 2 2 TDP_156 Control
## 10 2023.01.11-10.11.~ 11151 524 178 2 2 TDP_156 Control
## # i 3,238 more rows# Split the date and time and isolate both DATE and TIMESTAMP
h <- h %>%
mutate(date = str_extract(Image_name, "\\d{4}\\.\\d{2}\\.\\d{2}"),
timestamp = str_extract(Image_name, "\\d{2}\\.\\d{2}\\.\\d{2}(?=\\.)"))Calculate cumulative area from 7 different angles AND maximum width and height
Subset for one plant
today <- subset(h, h$date == unique(h$date)[1])
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[1])
one_plant## # A tibble: 7 x 10
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment date
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <chr>
## 1 2023.01.11-1~ 3860 396 240 1 1 TDP_168 Control 2023~
## 2 2023.01.11-1~ 4932 408 328 1 1 TDP_168 Control 2023~
## 3 2023.01.11-1~ 2939 418 241 1 1 TDP_168 Control 2023~
## 4 2023.01.11-1~ 1113 416 118 1 1 TDP_168 Control 2023~
## 5 2023.01.11-1~ 5217 401 297 1 1 TDP_168 Control 2023~
## 6 2023.01.11-1~ 5220 384 332 1 1 TDP_168 Control 2023~
## 7 2023.01.11-1~ 2480 379 158 1 1 TDP_168 Control 2023~
## # i 1 more variable: timestamp <chr>AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
Calculate Area.sum, max width and max height for one_plant
sum(one_plant$Area)## [1] 25761max(one_plant$Width)## [1] 332max(one_plant$Height)## [1] 418Adding measurement to an empty table
Create a df called data_sum
names <- c("DATE", "TIME", "Area.sum", "Height.max", "Width.max")
data_sum <- data.frame()
for (k in names) data_sum[[k]] <- as.character()
data_sum[1,1] <- one_plant$date[1]
data_sum[1,2] <- one_plant$timestamp[1]
data_sum[1,3] <- sum(one_plant$Area)
data_sum[1,4] <- max(one_plant$Height)
data_sum[1,5] <- sum(one_plant$Width)
data_sum[1, c("Accession", "Treatment")] <- h[1, c("Accession", "Treatment")]
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment
## 1 2023.01.11 10.09.51 25761 418 1714 TDP_168 ControlLooping for all
count <- 1
for(d in 1:length(unique(h$date))){
today <- subset(h, h$date == unique(h$date)[d])
for(t in 1:length(unique(today$timestamp))){
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[t])
if (nrow(one_plant) > 0) {
data_sum[count,1] <- one_plant$date[1]
data_sum[count,2] <- one_plant$timestamp[1]
data_sum[count,3] <- sum(one_plant$Area)
data_sum[count,4] <- max(one_plant$Height)
data_sum[count,5] <- sum(one_plant$Width)
data_sum[count, "Treatment"] <- one_plant$Treatment[1]
data_sum[count, "Accession"] <- one_plant$Accession[1]
count <- count + 1
}
}
}Assign values to “days” column based on specific dates
Assign days from 0 to 14 in corresponding dates
data_sum$days[data_sum$DATE == "2023.01.11"] <- 0
data_sum$days[data_sum$DATE == "2023.01.13"] <- 2
data_sum$days[data_sum$DATE == "2023.01.15"] <- 4
data_sum$days[data_sum$DATE == "2023.01.17"] <- 6
data_sum$days[data_sum$DATE == "2023.01.19"] <- 8
data_sum$days[data_sum$DATE == "2023.01.21"] <- 10
data_sum$days[data_sum$DATE == "2023.01.23"] <- 12
data_sum$days[data_sum$DATE == "2023.01.25"] <- 14Check no of sides
dim(h)[1] / dim(data_sum)[1]## [1] 7Plot Area.sum and Date
data_sum$Area.sum <- as.numeric(as.character(data_sum$Area.sum))
min(data_sum$Area.sum)## [1] 0unique(data_sum$DATE)## [1] "2023.01.11" "2023.01.13" "2023.01.15" "2023.01.17" "2023.01.19"
## [6] "2023.01.21" "2023.01.23" "2023.01.25"data_sum$DATE <- gsub("2023.01.", "", data_sum$DATE)
data_sum$DATE <- as.numeric(as.character(data_sum$DATE))
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment days
## 1 11 10.09.51 25761 418 1714 TDP_168 Control 0
## 2 11 10.11.19 63446 556 1753 TDP_156 Control 0
## 3 11 10.12.18 44965 607 2115 TDP_165 Control 0
## 4 11 10.13.09 10857 343 1028 TDP_161 Control 0
## 5 11 10.20.09 51943 570 2579 TDP_168 Drought 0
## 6 11 10.22.01 25569 439 1755 TDP_156 Drought 0
## 7 11 10.23.04 46850 755 2596 TDP_165 Drought 0
## 8 11 10.23.57 14139 425 1345 TDP_161 Drought 0
## 9 11 10.24.50 21599 431 1816 TDP_162 Control 0
## 10 11 10.26.39 36915 527 2221 TDP_159 Control 0
## 11 11 10.34.47 35191 490 1777 TDP_170 Control 0
## 12 11 10.35.37 14922 519 1564 TDP_136 Control 0
## 13 11 10.36.28 17308 693 1746 TDP_138 Control 0
## 14 11 10.37.24 24402 553 1662 TDP_162 Drought 0
## 15 11 10.38.14 27828 686 2118 TDP_159 Drought 0
## 16 11 10.39.15 73054 682 2231 TDP_170 Drought 0
## 17 11 10.40.09 12425 352 1136 TDP_136 Drought 0
## 18 11 10.41.45 30264 581 2219 TDP_138 Drought 0
## 19 11 10.42.41 11606 485 1578 TDP_169 Control 0
## 20 11 10.43.42 24383 761 1527 TDP_130 Control 0
## 21 11 10.44.47 24664 705 2344 TDP_154 Control 0
## 22 11 10.46.32 58516 554 2826 TDP_137 Control 0
## 23 11 10.47.42 6264 197 618 TDP_169 Drought 0
## 24 11 10.49.05 11521 719 915 TDP_130 Drought 0
## 25 11 10.50.29 35216 683 2166 TDP_154 Drought 0
## 26 11 10.51.21 78789 708 2094 TDP_137 Drought 0
## 27 11 10.52.25 172368 940 4003 TDP_112 Control 0
## 28 11 10.53.15 23050 731 1514 TDP_143 Control 0
## 29 11 10.55.02 9560 489 1135 TDP_144 Control 0
## 30 11 10.56.20 3853 33 434 TDP_149 Control 0
## 31 11 10.57.11 52005 812 1670 TDP_112 Drought 0
## 32 11 10.58.43 21318 632 1496 TDP_143 Drought 0
## 33 11 10.59.32 9327 171 556 TDP_144 Drought 0
## 34 11 11.00.45 16195 388 1420 TDP_149 Drought 0
## 35 11 11.04.13 74813 933 2200 TDP_150 Control 0
## 36 11 11.05.09 0 923 2352 TDP_155 Control 0
## 37 11 11.06.19 17951 124 981 TDP_158 Control 0
## 38 11 11.07.10 1832 146 476 TDP_139 Control 0
## 39 11 11.08.01 91701 904 3263 TDP_150 Drought 0
## 40 11 11.08.58 0 888 2933 TDP_155 Drought 0
## 41 11 11.09.54 13581 567 990 TDP_158 Drought 0
## 42 11 11.10.46 7337 417 737 TDP_139 Drought 0
## 43 11 11.11.35 24803 138 1428 TDP_148 Control 0
## 44 11 11.12.28 9773 206 842 TDP_142 Control 0
## 45 11 11.13.24 7179 61 398 TDP_146 Control 0
## 46 11 11.14.30 26380 718 1588 TDP_145 Control 0
## 47 11 11.15.20 29474 474 1575 TDP_148 Drought 0
## 48 11 11.16.12 19572 165 1425 TDP_142 Drought 0
## 49 11 11.17.02 39688 606 1849 TDP_146 Drought 0
## 50 11 11.18.47 39385 957 2408 TDP_145 Drought 0
## 51 11 11.21.09 10788 307 702 TDP_134 Control 0
## 52 11 11.21.59 10263 344 1021 TDP_133 Control 0
## 53 11 11.22.56 17885 491 1251 TDP_22_c Control 0
## 54 11 11.24.39 15953 484 1429 TDP_359_c Control 0
## 55 11 11.25.33 22051 446 1747 TDP_134 Drought 0
## 56 11 11.27.23 3144 57 384 TDP_133 Drought 0
## 57 11 11.28.25 29363 875 2254 TDP_22_c Drought 0
## 58 11 11.32.29 19665 528 1662 TDP_359_c Drought 0
## 59 13 10.00.14 40483 421 2357 TDP_168 Control 2
## 60 13 10.01.18 96408 724 2610 TDP_156 Control 2
## 61 13 10.02.24 112000 694 3378 TDP_165 Control 2
## 62 13 10.03.33 18714 161 2455 TDP_161 Control 2
## 63 13 10.04.41 81164 951 2484 TDP_168 Drought 2
## 64 13 10.05.57 32275 762 2154 TDP_156 Drought 2
## 65 13 10.07.53 66650 651 3016 TDP_165 Drought 2
## 66 13 10.14.29 23591 444 1856 TDP_161 Drought 2
## 67 13 10.15.53 36167 635 2512 TDP_162 Control 2
## 68 13 10.16.47 43661 514 3086 TDP_159 Control 2
## 69 13 10.18.27 84942 725 3483 TDP_170 Control 2
## 70 13 10.20.52 40383 528 2286 TDP_136 Control 2
## 71 13 10.22.14 27059 410 2124 TDP_138 Control 2
## 72 13 10.23.22 34127 855 2222 TDP_162 Drought 2
## 73 13 10.24.31 43536 498 2692 TDP_159 Drought 2
## 74 13 10.25.37 70523 537 2458 TDP_170 Drought 2
## 75 13 10.26.30 15701 350 1094 TDP_136 Drought 2
## 76 13 10.27.22 39391 598 2763 TDP_138 Drought 2
## 77 13 10.28.20 25352 797 1742 TDP_169 Control 2
## 78 13 10.29.18 53639 715 1999 TDP_130 Control 2
## 79 13 10.30.13 38037 813 3159 TDP_154 Control 2
## 80 13 10.31.07 97163 518 3004 TDP_137 Control 2
## 81 13 10.32.00 11867 306 966 TDP_169 Drought 2
## 82 13 10.32.56 14234 840 978 TDP_130 Drought 2
## 83 13 10.33.49 46820 610 2925 TDP_154 Drought 2
## 84 13 10.34.43 83335 705 2295 TDP_137 Drought 2
## 85 13 10.35.39 279273 1029 4620 TDP_112 Control 2
## 86 13 10.37.05 38880 914 2361 TDP_143 Control 2
## 87 13 10.38.52 24105 768 2273 TDP_144 Control 2
## 88 13 10.40.46 5635 47 522 TDP_149 Control 2
## 89 13 10.41.55 52965 950 1897 TDP_112 Drought 2
## 90 13 10.42.47 23692 888 1925 TDP_143 Drought 2
## 91 13 10.43.38 10191 224 404 TDP_144 Drought 2
## 92 13 10.44.29 26324 465 1533 TDP_149 Drought 2
## 93 13 10.45.21 110694 1052 2309 TDP_150 Control 2
## 94 13 10.46.22 156 8 58 TDP_155 Control 2
## 95 13 10.47.14 21620 249 1301 TDP_158 Control 2
## 96 13 10.48.08 2933 267 463 TDP_139 Control 2
## 97 13 10.49.02 139648 986 3238 TDP_150 Drought 2
## 98 13 10.49.56 171 10 58 TDP_155 Drought 2
## 99 13 10.50.50 26121 695 1585 TDP_158 Drought 2
## 100 13 10.52.27 6422 424 599 TDP_139 Drought 2
## 101 13 10.53.21 37144 313 1746 TDP_148 Control 2
## 102 13 10.55.01 24143 470 1315 TDP_142 Control 2
## 103 13 10.56.22 9077 134 737 TDP_146 Control 2
## 104 13 10.57.47 53860 1139 1950 TDP_145 Control 2
## 105 13 10.59.03 39270 662 1920 TDP_148 Drought 2
## 106 13 10.59.56 28776 465 1613 TDP_142 Drought 2
## 107 13 11.00.52 51996 865 1712 TDP_146 Drought 2
## 108 13 11.02.03 63204 881 2738 TDP_145 Drought 2
## 109 13 11.02.56 18482 503 1272 TDP_134 Control 2
## 110 13 11.03.47 15786 516 1337 TDP_133 Control 2
## 111 13 11.04.46 15549 835 1729 TDP_22_c Control 2
## 112 13 11.06.54 18781 570 1642 TDP_359_c Control 2
## 113 13 11.07.50 49806 358 1728 TDP_134 Drought 2
## 114 13 11.09.11 6001 77 638 TDP_133 Drought 2
## 115 13 11.10.41 40879 1235 1941 TDP_22_c Drought 2
## 116 13 11.12.20 34898 564 2066 TDP_359_c Drought 2
## 117 15 14.58.41 72030 471 2075 TDP_168 Control 4
## 118 15 15.01.20 109416 808 2629 TDP_156 Control 4
## 119 15 15.02.37 118620 660 3306 TDP_165 Control 4
## 120 15 15.06.46 21046 181 1995 TDP_161 Control 4
## 121 15 15.09.18 88472 524 3528 TDP_168 Drought 4
## 122 15 15.11.34 46918 655 2031 TDP_156 Drought 4
## 123 15 15.12.36 97281 698 3164 TDP_165 Drought 4
## 124 15 15.15.54 19253 313 1997 TDP_161 Drought 4
## 125 15 15.16.53 82157 574 2683 TDP_162 Control 4
## 126 15 15.18.05 67964 771 3343 TDP_159 Control 4
## 127 15 15.19.00 99979 685 4112 TDP_170 Control 4
## 128 15 15.20.02 58495 521 2478 TDP_136 Control 4
## 129 15 15.20.55 51799 588 2252 TDP_138 Control 4
## 130 15 15.21.49 43248 715 1986 TDP_162 Drought 4
## 131 15 15.23.07 52986 650 2488 TDP_159 Drought 4
## 132 15 15.23.58 92470 593 2483 TDP_170 Drought 4
## 133 15 15.24.49 16443 391 1288 TDP_136 Drought 4
## 134 15 15.25.41 75191 728 2719 TDP_138 Drought 4
## 135 15 15.26.31 67947 818 2539 TDP_169 Control 4
## 136 15 15.27.21 93308 899 2900 TDP_130 Control 4
## 137 15 15.28.13 59107 723 2955 TDP_154 Control 4
## 138 15 15.29.04 167036 716 3248 TDP_137 Control 4
## 139 15 15.30.03 15140 378 1013 TDP_169 Drought 4
## 140 15 15.32.47 23021 953 1448 TDP_130 Drought 4
## 141 15 15.33.53 69685 687 2945 TDP_154 Drought 4
## 142 15 15.34.45 78813 766 2027 TDP_137 Drought 4
## 143 15 15.38.06 497619 986 4619 TDP_112 Control 4
## 144 15 15.39.24 82068 1150 2425 TDP_143 Control 4
## 145 15 15.40.15 60877 782 2250 TDP_144 Control 4
## 146 15 15.42.11 4726 88 664 TDP_149 Control 4
## 147 15 15.43.24 55835 898 2259 TDP_112 Drought 4
## 148 15 15.44.15 38611 769 2138 TDP_143 Drought 4
## 149 15 15.45.41 9492 246 512 TDP_144 Drought 4
## 150 15 15.46.31 59123 519 1900 TDP_149 Drought 4
## 151 15 15.47.26 138025 1141 3068 TDP_150 Control 4
## 152 15 15.48.20 7334 463 682 TDP_155 Control 4
## 153 15 15.49.10 47264 426 1936 TDP_158 Control 4
## 154 15 15.50.12 7748 492 1074 TDP_139 Control 4
## 155 15 15.52.35 199806 983 3116 TDP_150 Drought 4
## 156 15 15.53.59 1707 38 309 TDP_155 Drought 4
## 157 15 15.54.50 31192 982 1641 TDP_158 Drought 4
## 158 15 15.55.41 8968 616 748 TDP_139 Drought 4
## 159 15 15.56.51 63311 528 2360 TDP_148 Control 4
## 160 15 15.57.47 35124 355 2533 TDP_142 Control 4
## 161 15 15.58.36 11601 262 1009 TDP_146 Control 4
## 162 15 16.00.11 57248 992 2593 TDP_145 Control 4
## 163 15 16.01.02 59335 773 2274 TDP_148 Drought 4
## 164 15 16.01.53 27999 675 1607 TDP_142 Drought 4
## 165 15 16.02.43 55335 1045 1666 TDP_146 Drought 4
## 166 15 16.04.05 64336 937 2619 TDP_145 Drought 4
## 167 15 16.04.57 35842 554 1366 TDP_134 Control 4
## 168 15 16.05.49 24266 754 1660 TDP_133 Control 4
## 169 15 16.07.10 30641 1075 1986 TDP_22_c Control 4
## 170 15 16.08.14 31399 572 1654 TDP_359_c Control 4
## 171 15 16.10.15 55007 734 2292 TDP_134 Drought 4
## 172 15 16.17.31 5330 107 665 TDP_133 Drought 4
## 173 15 16.19.06 94972 1046 2903 TDP_22_c Drought 4
## 174 15 16.19.57 25698 586 2412 TDP_359_c Drought 4
## 175 17 14.14.16 142001 514 2374 TDP_168 Control 6
## 176 17 14.15.27 160775 592 2297 TDP_156 Control 6
## 177 17 14.16.26 188160 661 3667 TDP_165 Control 6
## 178 17 14.17.18 39159 237 2588 TDP_161 Control 6
## 179 17 14.18.51 102436 475 3356 TDP_168 Drought 6
## 180 17 14.19.58 61171 801 2323 TDP_156 Drought 6
## 181 17 14.20.52 148335 771 3233 TDP_165 Drought 6
## 182 17 14.21.59 23369 263 2130 TDP_161 Drought 6
## 183 17 14.23.29 110043 901 3230 TDP_162 Control 6
## 184 17 14.24.37 120603 498 3189 TDP_159 Control 6
## 185 17 14.25.51 162074 673 3872 TDP_170 Control 6
## 186 17 14.26.55 100088 666 2703 TDP_136 Control 6
## 187 17 14.27.51 101834 592 3479 TDP_138 Control 6
## 188 17 14.29.14 26372 678 2235 TDP_162 Drought 6
## 189 17 14.30.18 51480 384 2468 TDP_159 Drought 6
## 190 17 14.31.17 117361 609 2729 TDP_170 Drought 6
## 191 17 14.32.24 21630 502 1236 TDP_136 Drought 6
## 192 17 14.34.24 104134 873 2636 TDP_138 Drought 6
## 193 17 14.35.40 93978 955 2963 TDP_169 Control 6
## 194 17 14.37.08 152871 915 2627 TDP_130 Control 6
## 195 17 14.38.06 84204 684 3243 TDP_154 Control 6
## 196 17 14.39.22 223149 633 3268 TDP_137 Control 6
## 197 17 14.40.25 15609 469 1306 TDP_169 Drought 6
## 198 17 14.43.43 33139 926 1435 TDP_130 Drought 6
## 199 17 14.44.58 91125 807 3055 TDP_154 Drought 6
## 200 17 14.46.31 96381 779 2262 TDP_137 Drought 6
## 201 17 14.47.25 674462 1210 4254 TDP_112 Control 6
## 202 17 14.48.29 143722 900 2918 TDP_143 Control 6
## 203 17 14.49.27 49287 1015 3124 TDP_144 Control 6
## 204 17 14.50.22 6120 156 779 TDP_149 Control 6
## 205 17 14.51.16 55499 864 1742 TDP_112 Drought 6
## 206 17 14.52.52 58550 1035 2367 TDP_143 Drought 6
## 207 17 14.54.18 6573 271 677 TDP_144 Drought 6
## 208 17 14.55.27 39351 727 1497 TDP_149 Drought 6
## 209 17 14.57.50 244757 1004 3234 TDP_150 Control 6
## 210 17 15.00.19 15236 385 1686 TDP_155 Control 6
## 211 17 15.01.28 65732 844 2175 TDP_158 Control 6
## 212 17 15.02.43 14644 647 1209 TDP_139 Control 6
## 213 17 15.03.37 212602 987 3095 TDP_150 Drought 6
## 214 17 15.05.07 3392 96 584 TDP_155 Drought 6
## 215 17 15.06.42 47035 1226 1615 TDP_158 Drought 6
## 216 17 15.07.47 5939 553 790 TDP_139 Drought 6
## 217 17 15.09.25 145033 586 2399 TDP_148 Control 6
## 218 17 15.10.34 76789 608 3138 TDP_142 Control 6
## 219 17 15.11.28 25967 213 1444 TDP_146 Control 6
## 220 17 15.12.36 106139 1234 2701 TDP_145 Control 6
## 221 17 15.13.33 94860 836 2413 TDP_148 Drought 6
## 222 17 15.14.29 54416 304 3441 TDP_142 Drought 6
## 223 17 15.16.45 75679 1152 2171 TDP_146 Drought 6
## 224 17 15.18.06 74120 1007 2759 TDP_145 Drought 6
## 225 17 15.19.47 47493 692 2029 TDP_134 Control 6
## 226 17 15.20.48 65201 671 1843 TDP_133 Control 6
## 227 17 15.21.39 79103 1070 2281 TDP_22_c Control 6
## 228 17 15.22.42 29092 646 1725 TDP_359_c Control 6
## 229 17 15.24.16 49573 789 2995 TDP_134 Drought 6
## 230 17 15.27.57 7170 248 642 TDP_133 Drought 6
## 231 17 15.32.06 150763 1025 3243 TDP_22_c Drought 6
## 232 17 15.33.04 32250 617 2542 TDP_359_c Drought 6
## 233 19 16.58.52 213203 620 3176 TDP_168 Control 8
## 234 19 16.59.49 243763 632 3055 TDP_156 Control 8
## 235 19 17.00.56 360666 909 3841 TDP_165 Control 8
## 236 19 17.02.08 53890 369 3866 TDP_161 Control 8
## 237 19 17.04.34 115403 636 3263 TDP_168 Drought 8
## 238 19 17.05.47 91711 761 2183 TDP_156 Drought 8
## 239 19 17.07.03 160886 798 2949 TDP_165 Drought 8
## 240 19 17.07.59 52007 224 2159 TDP_161 Drought 8
## 241 19 17.08.48 194619 696 3339 TDP_162 Control 8
## 242 19 17.09.44 159744 635 4071 TDP_159 Control 8
## 243 19 17.10.44 227565 684 4258 TDP_170 Control 8
## 244 19 17.11.34 190758 619 3404 TDP_136 Control 8
## 245 19 17.12.49 222847 667 2523 TDP_138 Control 8
## 246 19 17.14.09 36936 702 2483 TDP_162 Drought 8
## 247 19 17.15.27 103999 381 2695 TDP_159 Drought 8
## 248 19 17.16.19 144393 748 2643 TDP_170 Drought 8
## 249 19 17.17.15 27128 525 1610 TDP_136 Drought 8
## 250 19 17.18.10 120952 869 2239 TDP_138 Drought 8
## 251 19 17.18.59 163727 1004 3500 TDP_169 Control 8
## 252 19 17.20.27 245168 1097 2947 TDP_130 Control 8
## 253 19 17.22.04 138177 742 3217 TDP_154 Control 8
## 254 19 17.23.18 357352 695 3539 TDP_137 Control 8
## 255 19 17.24.10 28598 545 1714 TDP_169 Drought 8
## 256 19 17.25.12 42010 1081 1785 TDP_130 Drought 8
## 257 19 17.26.15 137006 781 3208 TDP_154 Drought 8
## 258 19 17.27.26 100594 797 2089 TDP_137 Drought 8
## 259 19 17.28.17 1010331 1101 3831 TDP_112 Control 8
## 260 19 17.29.07 228917 1032 3536 TDP_143 Control 8
## 261 19 17.30.23 105072 832 3465 TDP_144 Control 8
## 262 19 17.31.21 21206 407 1202 TDP_149 Control 8
## 263 19 17.32.30 61998 794 2851 TDP_112 Drought 8
## 264 19 17.33.21 75282 844 2114 TDP_143 Drought 8
## 265 19 17.34.38 11040 556 841 TDP_144 Drought 8
## 266 19 17.35.34 73588 646 2861 TDP_149 Drought 8
## 267 19 17.36.45 366059 1077 3892 TDP_150 Control 8
## 268 19 17.38.02 74611 395 1936 TDP_155 Control 8
## 269 19 17.39.14 172263 563 3151 TDP_158 Control 8
## 270 19 17.40.08 36192 378 1712 TDP_139 Control 8
## 271 19 17.40.58 244770 1029 3016 TDP_150 Drought 8
## 272 19 17.42.28 13047 238 929 TDP_155 Drought 8
## 273 19 17.43.54 76568 789 2032 TDP_158 Drought 8
## 274 19 17.45.05 12241 506 931 TDP_139 Drought 8
## 275 19 17.46.08 341087 587 3955 TDP_148 Control 8
## 276 19 17.47.18 147481 426 4351 TDP_142 Control 8
## 277 19 17.48.20 44188 505 1848 TDP_146 Control 8
## 278 19 17.49.11 275102 1174 3433 TDP_145 Control 8
## 279 19 17.53.18 119986 690 2347 TDP_148 Drought 8
## 280 19 17.54.30 45905 480 3243 TDP_142 Drought 8
## 281 19 17.55.36 97649 1067 2662 TDP_146 Drought 8
## 282 19 17.56.26 69855 1025 2434 TDP_145 Drought 8
## 283 19 17.57.54 92238 666 2563 TDP_134 Control 8
## 284 19 17.59.05 67824 519 1808 TDP_133 Control 8
## 285 19 17.59.54 127502 1169 2491 TDP_22_c Control 8
## 286 19 18.02.37 57819 690 1655 TDP_359_c Control 8
## 287 19 18.03.46 285162 1032 3916 TDP_22_c Drought 8
## 288 19 18.05.09 85672 881 2422 TDP_134 Drought 8
## 289 19 18.06.00 9895 273 725 TDP_133 Drought 8
## 290 19 18.06.49 61373 745 2521 TDP_359_c Drought 8
## 291 21 17.00.25 313023 687 3770 TDP_168 Control 10
## 292 21 17.02.23 322150 775 3803 TDP_156 Control 10
## 293 21 17.03.20 443918 928 3842 TDP_165 Control 10
## 294 21 17.04.42 84307 628 4235 TDP_161 Control 10
## 295 21 17.05.52 135211 628 3250 TDP_168 Drought 10
## 296 21 17.07.11 117969 722 2685 TDP_156 Drought 10
## 297 21 17.08.49 160461 825 3098 TDP_165 Drought 10
## 298 21 17.10.00 38069 226 2562 TDP_161 Drought 10
## 299 21 17.10.50 272267 776 3756 TDP_162 Control 10
## 300 21 17.11.45 275562 844 4144 TDP_159 Control 10
## 301 21 17.12.36 389666 975 4217 TDP_170 Control 10
## 302 21 17.14.06 284754 844 3297 TDP_136 Control 10
## 303 21 17.15.45 329628 718 2966 TDP_138 Control 10
## 304 21 17.16.44 41548 868 2527 TDP_162 Drought 10
## 305 21 17.17.45 133670 549 2365 TDP_159 Drought 10
## 306 21 17.18.44 153794 856 2734 TDP_170 Drought 10
## 307 21 17.20.02 31841 677 1661 TDP_136 Drought 10
## 308 21 17.21.27 133594 997 2291 TDP_138 Drought 10
## 309 21 17.22.23 237814 1094 4161 TDP_169 Control 10
## 310 21 17.24.38 397822 1018 3974 TDP_130 Control 10
## 311 21 17.25.52 175136 651 3863 TDP_154 Control 10
## 312 21 17.26.55 468288 721 3764 TDP_137 Control 10
## 313 21 17.28.30 28079 695 1697 TDP_169 Drought 10
## 314 21 17.29.22 62749 1016 1731 TDP_130 Drought 10
## 315 21 17.30.35 132615 788 3172 TDP_154 Drought 10
## 316 21 17.32.03 112224 805 2106 TDP_137 Drought 10
## 317 21 17.33.09 1155909 1273 3959 TDP_112 Control 10
## 318 21 17.34.05 356991 1183 3511 TDP_143 Control 10
## 319 21 17.35.32 173982 1093 3702 TDP_144 Control 10
## 320 21 17.36.55 29773 661 1670 TDP_149 Control 10
## 321 21 17.38.20 75036 783 2768 TDP_112 Drought 10
## 322 21 17.39.37 81070 1046 2344 TDP_143 Drought 10
## 323 21 17.40.40 13699 454 2394 TDP_144 Drought 10
## 324 21 17.42.04 78550 513 2697 TDP_149 Drought 10
## 325 21 17.44.36 575239 1065 4793 TDP_150 Control 10
## 326 21 17.45.42 140350 473 2742 TDP_155 Control 10
## 327 21 17.46.31 282587 704 3704 TDP_158 Control 10
## 328 21 17.47.27 24040 289 1466 TDP_139 Control 10
## 329 21 17.48.44 266031 1203 3196 TDP_150 Drought 10
## 330 21 17.49.34 31741 281 1360 TDP_155 Drought 10
## 331 21 17.50.25 71013 772 2319 TDP_158 Drought 10
## 332 21 17.51.46 15389 760 988 TDP_139 Drought 10
## 333 21 17.52.44 451962 803 4152 TDP_148 Control 10
## 334 21 17.53.45 210407 655 4717 TDP_142 Control 10
## 335 21 17.55.14 73901 863 2591 TDP_146 Control 10
## 336 21 17.56.10 275173 1245 3655 TDP_145 Control 10
## 337 21 17.57.01 121057 715 2627 TDP_148 Drought 10
## 338 21 17.58.10 72063 545 3508 TDP_142 Drought 10
## 339 21 18.00.45 100146 1119 2725 TDP_146 Drought 10
## 340 21 18.01.56 77444 1069 2792 TDP_145 Drought 10
## 341 21 18.03.07 151773 934 2482 TDP_134 Control 10
## 342 21 18.05.18 106819 709 2151 TDP_133 Control 10
## 343 21 18.06.24 226970 1175 2934 TDP_22_c Control 10
## 344 21 18.07.46 61384 822 1812 TDP_359_c Control 10
## 345 21 18.08.58 145030 1083 2348 TDP_134 Drought 10
## 346 21 18.09.49 12831 283 823 TDP_133 Drought 10
## 347 21 18.10.53 325405 1273 4884 TDP_22_c Drought 10
## 348 21 18.11.45 65776 792 2424 TDP_359_c Drought 10
## 349 23 10.00.22 353859 875 3817 TDP_168 Control 12
## 350 23 10.01.46 434330 872 3418 TDP_156 Control 12
## 351 23 10.03.05 496053 763 3892 TDP_165 Control 12
## 352 23 10.04.27 118636 488 4228 TDP_161 Control 12
## 353 23 10.05.58 127126 737 3438 TDP_168 Drought 12
## 354 23 10.06.57 118444 663 2568 TDP_156 Drought 12
## 355 23 10.08.26 181461 823 2966 TDP_165 Drought 12
## 356 23 10.09.49 29679 211 2555 TDP_161 Drought 12
## 357 23 10.11.07 356270 921 4037 TDP_162 Control 12
## 358 23 10.12.05 312108 949 4586 TDP_159 Control 12
## 359 23 10.13.24 374550 738 4566 TDP_170 Control 12
## 360 23 10.14.55 297566 848 3738 TDP_136 Control 12
## 361 23 10.15.54 400514 677 3143 TDP_138 Control 12
## 362 23 10.17.17 40866 807 2470 TDP_162 Drought 12
## 363 23 10.18.27 83807 527 2837 TDP_159 Drought 12
## 364 23 10.19.18 145074 676 2751 TDP_170 Drought 12
## 365 23 10.20.24 40724 854 1724 TDP_136 Drought 12
## 366 23 10.21.37 127550 777 2673 TDP_138 Drought 12
## 367 23 10.22.37 366990 917 4605 TDP_169 Control 12
## 368 23 10.24.00 533659 964 3395 TDP_130 Control 12
## 369 23 10.25.03 216252 761 3957 TDP_154 Control 12
## 370 23 10.25.55 503845 988 3778 TDP_137 Control 12
## 371 23 10.26.49 20349 768 1562 TDP_169 Drought 12
## 372 23 10.27.40 92678 1053 1993 TDP_130 Drought 12
## 373 23 10.28.50 87383 694 3421 TDP_154 Drought 12
## 374 23 10.29.59 107597 813 2094 TDP_137 Drought 12
## 375 23 10.31.09 1280950 1244 4279 TDP_112 Control 12
## 376 23 10.32.51 453476 1267 3718 TDP_143 Control 12
## 377 23 10.34.31 269253 1031 3655 TDP_144 Control 12
## 378 23 10.35.23 90486 342 2759 TDP_149 Control 12
## 379 23 10.36.15 82514 957 2632 TDP_112 Drought 12
## 380 23 10.37.33 113489 921 2222 TDP_143 Drought 12
## 381 23 10.38.54 29328 317 1171 TDP_144 Drought 12
## 382 23 10.39.52 63880 543 2875 TDP_149 Drought 12
## 383 23 10.41.10 686698 1164 4489 TDP_150 Control 12
## 384 23 10.43.03 219616 514 3514 TDP_155 Control 12
## 385 23 10.44.40 452760 702 3717 TDP_158 Control 12
## 386 23 10.46.29 46648 461 1812 TDP_139 Control 12
## 387 23 10.48.35 265714 1261 3053 TDP_150 Drought 12
## 388 23 10.50.18 23526 246 1213 TDP_155 Drought 12
## 389 23 10.51.14 59942 794 2491 TDP_158 Drought 12
## 390 23 10.52.23 45358 479 1230 TDP_139 Drought 12
## 391 23 10.53.45 623064 730 3750 TDP_148 Control 12
## 392 23 10.56.20 268950 548 4620 TDP_142 Control 12
## 393 23 10.58.23 121148 906 2387 TDP_146 Control 12
## 394 23 10.59.35 339958 1057 3715 TDP_145 Control 12
## 395 23 11.00.49 115574 746 2361 TDP_148 Drought 12
## 396 23 11.01.59 94682 351 4218 TDP_142 Drought 12
## 397 23 11.02.57 121225 1102 2412 TDP_146 Drought 12
## 398 23 11.04.20 96499 1060 3075 TDP_145 Drought 12
## 399 23 11.05.29 256458 1011 3518 TDP_134 Control 12
## 400 23 11.07.00 160033 757 2454 TDP_133 Control 12
## 401 23 11.08.44 306019 1242 3418 TDP_22_c Control 12
## 402 23 11.10.21 164431 819 3289 TDP_134 Drought 12
## 403 23 11.11.26 426117 1176 4177 TDP_22_c Drought 12
## 404 23 11.12.17 6986 299 849 TDP_133 Drought 12
## 405 23 11.13.46 38902 613 2638 TDP_359_c Drought 12
## 406 23 11.14.57 40895 826 1979 TDP_359_c Control 12
## 407 23 11.17.04 40884 586 2732 TDP_359_c Drought 12
## 408 25 12.32.46 462858 744 4140 TDP_168 Control 14
## 409 25 12.33.47 521213 898 3607 TDP_156 Control 14
## 410 25 12.34.50 612807 761 3896 TDP_165 Control 14
## 411 25 12.35.41 168243 550 4824 TDP_161 Control 14
## 412 25 12.37.01 142622 949 3404 TDP_168 Drought 14
## 413 25 12.37.58 160871 707 2837 TDP_156 Drought 14
## 414 25 12.39.08 192788 795 2978 TDP_165 Drought 14
## 415 25 12.40.02 40436 253 2529 TDP_161 Drought 14
## 416 25 12.41.34 449371 969 4302 TDP_162 Control 14
## 417 25 12.42.40 380195 921 4880 TDP_159 Control 14
## 418 25 12.44.16 568251 871 4541 TDP_170 Control 14
## 419 25 12.45.22 460530 849 3904 TDP_136 Control 14
## 420 25 12.46.22 513630 671 3679 TDP_138 Control 14
## 421 25 12.47.23 61807 792 2721 TDP_162 Drought 14
## 422 25 12.48.22 150181 546 3015 TDP_159 Drought 14
## 423 25 12.49.24 190820 684 2718 TDP_170 Drought 14
## 424 25 12.50.46 44043 784 1842 TDP_136 Drought 14
## 425 25 12.53.07 159221 845 2508 TDP_138 Drought 14
## 426 25 12.54.21 406546 1115 4622 TDP_169 Control 14
## 427 25 12.55.23 680208 1067 3827 TDP_130 Control 14
## 428 25 12.56.19 285870 734 4231 TDP_154 Control 14
## 429 25 12.57.40 613433 759 3918 TDP_137 Control 14
## 430 25 13.00.51 38256 430 1950 TDP_169 Drought 14
## 431 25 13.01.50 136388 1102 1877 TDP_130 Drought 14
## 432 25 13.03.01 145067 788 3385 TDP_154 Drought 14
## 433 25 13.04.19 124394 819 2047 TDP_137 Drought 14
## 434 25 13.05.21 1402813 1144 4563 TDP_112 Control 14
## 435 25 13.07.38 624954 1259 3996 TDP_143 Control 14
## 436 25 13.08.45 395337 1056 4480 TDP_144 Control 14
## 437 25 13.10.21 83461 356 2925 TDP_149 Control 14
## 438 25 13.12.39 78399 943 2890 TDP_112 Drought 14
## 439 25 13.15.21 139934 1059 2384 TDP_143 Drought 14
## 440 25 13.16.11 28100 448 2250 TDP_144 Drought 14
## 441 25 13.17.05 70123 527 2866 TDP_149 Drought 14
## 442 25 13.18.06 833764 1260 4703 TDP_150 Control 14
## 443 25 13.19.36 126115 356 3527 TDP_155 Control 14
## 444 25 13.20.26 353330 676 4387 TDP_158 Control 14
## 445 25 13.21.44 65527 342 1659 TDP_139 Control 14
## 446 25 13.23.05 306393 1093 3314 TDP_150 Drought 14
## 447 25 13.24.12 66034 307 1894 TDP_155 Drought 14
## 448 25 13.25.47 75920 732 2550 TDP_158 Drought 14
## 449 25 13.27.08 33479 633 1360 TDP_139 Drought 14
## 450 25 13.28.20 784800 746 4903 TDP_148 Control 14
## 451 25 13.29.20 408396 866 4734 TDP_142 Control 14
## 452 25 13.30.20 188324 913 3548 TDP_146 Control 14
## 453 25 13.31.42 432923 1075 3964 TDP_145 Control 14
## 454 25 13.32.36 154180 739 2483 TDP_148 Drought 14
## 455 25 13.33.34 119007 599 3668 TDP_142 Drought 14
## 456 25 13.34.45 162421 1109 2785 TDP_146 Drought 14
## 457 25 13.36.49 116094 1072 2790 TDP_145 Drought 14
## 458 25 13.37.45 353630 931 4779 TDP_134 Control 14
## 459 25 13.40.35 334013 821 3076 TDP_133 Control 14
## 460 25 13.41.43 542880 1346 4372 TDP_22_c Control 14
## 461 25 13.42.49 204395 830 3430 TDP_134 Drought 14
## 462 25 13.45.38 24387 338 1183 TDP_133 Drought 14
## 463 25 13.46.33 69835 917 1993 TDP_359_c Control 14
## 464 25 13.48.18 56809 542 2956 TDP_359_c Drought 14plot(data_sum$Area.sum ~ data_sum$days)
# write.csv(data_sum, "data_sum.csv")data_sum$Ex <- 3Assign levels
Drop rows with missing values
cumm_data_clean <- data_sum %>% drop_na()
cumm_data_clean$Treatment <- factor(cumm_data_clean$Treatment, levels = c("Control","Drought"))We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
cumm_data_clean$sid <- paste0(cumm_data_clean$Accession, "_", substr(cumm_data_clean$Treatment, 1, 1))Ex3_Write cumm_data_clean into new file as final_Ex3
write.csv(cumm_data_clean, "final_Ex3.csv") ######################### Ex4 ##########################Loading all days processed images from Ex4.
d0 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex4_Results\\Results_Ex4_041823.csv",'show_col_types' = 'FALSE')
d2 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex4_Results\\Results_Ex4_042023.csv",'show_col_types' = 'FALSE')
d4 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex4_Results\\Results_Ex4_042223.csv",'show_col_types' = 'FALSE')
d6 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex4_Results\\Results_Ex4_042423.csv",'show_col_types' = 'FALSE')
d8 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex4_Results\\Results_Ex4_042623.csv", 'show_col_types' = 'FALSE')
d10 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex4_Results\\Results_Ex4_042823.csv",'show_col_types' = 'FALSE')
d12 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex4_Results\\Results_Ex4_043023.csv", 'show_col_types' = 'FALSE')
d14 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex4_Results\\Results_Ex4_050223.csv",'show_col_types' = 'FALSE')Bind all days together
comb <- rbind(d0, d2, d4, d6, d8, d10, d12,d14)Load potnames4 which has pot number,pot tag, accession names and treatment.
potnames4 <- read_xlsx("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex4_Results\\potnames4.xlsx")Combining two sheets by matching potnumber and pot tag
h <- inner_join(comb,potnames4,by=c("Pot_no"="PotTag"))
h## # A tibble: 4,277 x 8
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
## 1 2023.04.18-13.55.~ 34806 943 475 1 1 TDP_147 Control
## 2 2023.04.18-13.55.~ 30534 954 415 1 1 TDP_147 Control
## 3 2023.04.18-13.55.~ 24203 921 607 1 1 TDP_147 Control
## 4 2023.04.18-13.55.~ 26231 851 489 1 1 TDP_147 Control
## 5 2023.04.18-13.55.~ 25310 687 339 1 1 TDP_147 Control
## 6 2023.04.18-13.55.~ 24643 636 478 1 1 TDP_147 Control
## 7 2023.04.18-13.55.~ 30505 615 586 1 1 TDP_147 Control
## 8 2023.04.18-14.06.~ 14068 683 547 2 2 TDP_171 Control
## 9 2023.04.18-14.06.~ 11065 517 368 2 2 TDP_171 Control
## 10 2023.04.18-14.06.~ 5097 512 231 2 2 TDP_171 Control
## # i 4,267 more rows# Split the date and time and isolate both DATE and TIMESTAMP
h <- h %>%
mutate(date = str_extract(Image_name, "\\d{4}\\.\\d{2}\\.\\d{2}"),
timestamp = str_extract(Image_name, "\\d{2}\\.\\d{2}\\.\\d{2}(?=\\.)"))Calculate cumulative area from 7 different angles AND maximum width and height
Subset for one plant
today <- subset(h, h$date == unique(h$date)[1])
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[1])
one_plant## # A tibble: 7 x 10
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment date
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <chr>
## 1 2023.04.18-1~ 34806 943 475 1 1 TDP_147 Control 2023~
## 2 2023.04.18-1~ 30534 954 415 1 1 TDP_147 Control 2023~
## 3 2023.04.18-1~ 24203 921 607 1 1 TDP_147 Control 2023~
## 4 2023.04.18-1~ 26231 851 489 1 1 TDP_147 Control 2023~
## 5 2023.04.18-1~ 25310 687 339 1 1 TDP_147 Control 2023~
## 6 2023.04.18-1~ 24643 636 478 1 1 TDP_147 Control 2023~
## 7 2023.04.18-1~ 30505 615 586 1 1 TDP_147 Control 2023~
## # i 1 more variable: timestamp <chr>AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
sum(one_plant$Area)## [1] 196232max(one_plant$Width)## [1] 607max(one_plant$Height)## [1] 954Adding measurement to an empty table
names <- c("DATE", "TIME", "Area.sum", "Height.max", "Width.max")
data_sum <- data.frame()
for (k in names) data_sum[[k]] <- as.character()
data_sum[1,1] <- one_plant$date[1]
data_sum[1,2] <- one_plant$timestamp[1]
data_sum[1,3] <- sum(one_plant$Area)
data_sum[1,4] <- max(one_plant$Height)
data_sum[1,5] <- sum(one_plant$Width)
data_sum[1, c("Accession", "Treatment")] <- h[1, c("Accession", "Treatment")]
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment
## 1 2023.04.18 13.55.17 196232 954 3389 TDP_147 Controlcount <- 1
for(d in 1:length(unique(h$date))){
today <- subset(h, h$date == unique(h$date)[d])
for(t in 1:length(unique(today$timestamp))){
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[t])
if (nrow(one_plant) > 0) {
data_sum[count,1] <- one_plant$date[1]
data_sum[count,2] <- one_plant$timestamp[1]
data_sum[count,3] <- sum(one_plant$Area)
data_sum[count,4] <- max(one_plant$Height)
data_sum[count,5] <- sum(one_plant$Width)
data_sum[count, "Treatment"] <- one_plant$Treatment[1]
data_sum[count, "Accession"] <- one_plant$Accession[1]
count <- count + 1
}
}
}Assign values to “days” column based on specific dates
data_sum$days[data_sum$DATE == "2023.04.18"] <- 0
data_sum$days[data_sum$DATE == "2023.04.20"] <- 2
data_sum$days[data_sum$DATE == "2023.04.22"] <- 4
data_sum$days[data_sum$DATE == "2023.04.24"] <- 6
data_sum$days[data_sum$DATE == "2023.04.26"] <- 8
data_sum$days[data_sum$DATE == "2023.04.28"] <- 10
data_sum$days[data_sum$DATE == "2023.04.30"] <- 12
data_sum$days[data_sum$DATE == "2023.05.02"] <- 14Adding
dim(h)[1] / dim(data_sum)[1]## [1] 7Plot Area.sum and Date
data_sum$Area.sum <- as.numeric(as.character(data_sum$Area.sum))
min(data_sum$Area.sum)## [1] 27unique(data_sum$days)## [1] 0 2 4 6 8 10 12 14# data_sum$DATE <- gsub("2023.04.", "", data_sum$DATE)
# data_sum$DATE <- gsub("2023.05.", "", data_sum$DATE)
data_sum$DATE <- as.numeric(as.character(data_sum$days))
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment days
## 1 0 13.55.17 196232 954 3389 TDP_147 Control 0
## 2 0 14.06.25 71562 785 2945 TDP_171 Control 0
## 3 0 14.07.46 94649 615 3012 TDP_96 Control 0
## 4 0 14.08.43 82598 624 2305 TDP_172 Control 0
## 5 0 14.09.54 153158 629 3354 TDP_87 Control 0
## 6 0 14.10.46 261433 988 3815 TDP_147 Drought 0
## 7 0 14.11.38 27849 585 2079 TDP_171 Drought 0
## 8 0 14.12.33 47909 587 2112 TDP_96 Drought 0
## 9 0 14.13.23 55814 523 2784 TDP_172 Drought 0
## 10 0 14.15.06 74270 465 2091 TDP_87 Drought 0
## 11 0 14.16.08 95900 598 2575 TDP_85 Control 0
## 12 0 14.16.58 80454 445 2296 TDP_153 Control 0
## 13 0 14.20.55 20594 472 2057 TDP_164 Control 0
## 14 0 14.21.56 12714 196 761 TDP_82 Control 0
## 15 0 14.23.06 32062 378 1877 TDP_85 Drought 0
## 16 0 14.24.00 128130 525 2507 TDP_153 Drought 0
## 17 0 14.25.11 30518 663 1215 TDP_164 Drought 0
## 18 0 14.27.19 4232 147 699 TDP_82 Drought 0
## 19 0 14.28.11 89671 460 1931 TDP_81 Control 0
## 20 0 14.29.03 41003 553 2521 TDP_64 Control 0
## 21 0 15.27.00 87967 448 2555 TDP_86 Control 0
## 22 0 15.28.13 52240 588 1857 TDP_224 Control 0
## 23 0 15.29.05 64540 560 2460 TDP_216 Control 0
## 24 0 15.29.57 27 518 2024 TDP_81 Drought 0
## 25 0 15.30.48 43399 571 2229 TDP_64 Drought 0
## 26 0 15.32.03 35018 540 1876 TDP_86 Drought 0
## 27 0 15.34.13 58125 468 2294 TDP_224 Drought 0
## 28 0 15.36.36 36214 512 2261 TDP_216 Drought 0
## 29 0 15.37.27 24357 564 2065 TDP_174 Control 0
## 30 0 15.39.09 22013 560 1807 TDP_198 Control 0
## 31 0 15.40.09 25362 527 1738 TDP_173 Control 0
## 32 0 15.40.59 30095 480 1423 TDP_197 Control 0
## 33 0 15.41.58 32823 439 1431 TDP_174 Drought 0
## 34 0 15.42.53 18507 585 1634 TDP_198 Drought 0
## 35 0 15.43.44 19823 895 1526 TDP_173 Drought 0
## 36 0 15.46.36 37541 563 1477 TDP_197 Drought 0
## 37 0 15.48.06 31255 530 2058 TDP_184 Control 0
## 38 0 15.48.59 83935 631 2682 TDP_185 Control 0
## 39 0 15.50.28 7377 299 1622 TDP_190 Control 0
## 40 0 15.51.19 31131 548 2071 TDP_183 Control 0
## 41 0 15.52.10 42382 373 2141 TDP_194 Control 0
## 42 0 15.53.03 22560 562 2037 TDP_184 Drought 0
## 43 0 15.53.53 57857 554 2174 TDP_185 Drought 0
## 44 0 15.54.43 16091 388 1967 TDP_190 Drought 0
## 45 0 15.55.33 21263 387 1663 TDP_183 Drought 0
## 46 0 15.56.23 18022 528 2480 TDP_194 Drought 0
## 47 0 15.57.13 48942 556 2415 TDP_195 Control 0
## 48 0 15.58.30 47705 573 2557 TDP_191 Control 0
## 49 0 15.59.21 30139 688 1905 TDP_187 Control 0
## 50 0 16.00.13 51916 390 2035 TDP_177 Control 0
## 51 0 16.01.14 79531 568 2401 TDP_195 Drought 0
## 52 0 16.02.08 55533 558 1981 TDP_191 Drought 0
## 53 0 16.03.01 20470 557 1758 TDP_187 Drought 0
## 54 0 16.03.50 37741 757 2225 TDP_177 Drought 0
## 55 0 16.04.41 76536 497 2128 TDP_188 Control 0
## 56 0 16.05.38 43390 519 2981 TDP_180 Control 0
## 57 0 16.06.29 25528 570 1756 TDP_206 Control 0
## 58 0 16.07.18 55406 426 1701 TDP_207 Control 0
## 59 0 16.08.06 9116 467 1195 TDP_189 Control 0
## 60 0 16.14.48 16219 110 1125 TDP_180 Drought 0
## 61 0 16.15.40 72526 564 2497 TDP_206 Drought 0
## 62 0 16.16.44 42099 688 2078 TDP_207 Drought 0
## 63 0 16.17.44 17236 389 1919 TDP_189 Drought 0
## 64 0 16.18.35 41270 494 2888 TDP_181 Control 0
## 65 0 16.19.23 18507 473 1857 TDP_203 Control 0
## 66 0 16.20.28 71187 527 2638 TDP_186 Control 0
## 67 0 16.21.51 121148 603 2389 TDP_176 Control 0
## 68 0 16.23.22 17216 681 2341 TDP_182 Control 0
## 69 0 16.24.15 63448 558 1800 TDP_181 Drought 0
## 70 0 16.25.10 43299 489 1992 TDP_203 Drought 0
## 71 0 16.25.59 94887 520 2880 TDP_186 Drought 0
## 72 0 16.27.06 116299 492 2311 TDP_176 Drought 0
## 73 0 16.30.35 71307 546 1772 TDP_359_c Control 0
## 74 0 16.31.43 88150 508 2164 TDP_359_c Drought 0
## 75 0 16.32.33 122880 1142 2172 TDP_22_c Control 0
## 76 0 16.33.29 130505 978 2753 TDP_22_c Drought 0
## 77 2 08.34.05 288418 979 3764 TDP_147 Control 2
## 78 2 08.35.15 68705 767 2872 TDP_171 Control 2
## 79 2 08.36.14 107317 603 3096 TDP_96 Control 2
## 80 2 08.37.13 109850 673 2586 TDP_172 Control 2
## 81 2 08.38.24 233066 906 3922 TDP_87 Control 2
## 82 2 08.39.35 328638 992 3964 TDP_147 Drought 2
## 83 2 08.40.28 39263 627 1994 TDP_171 Drought 2
## 84 2 08.41.20 54008 596 2205 TDP_96 Drought 2
## 85 2 08.42.12 97670 576 2856 TDP_172 Drought 2
## 86 2 08.43.06 88554 444 1944 TDP_87 Drought 2
## 87 2 08.43.57 125667 760 3044 TDP_85 Control 2
## 88 2 08.45.21 135298 561 2790 TDP_153 Control 2
## 89 2 08.46.16 17964 504 2139 TDP_164 Control 2
## 90 2 08.47.07 21144 256 1005 TDP_82 Control 2
## 91 2 08.48.03 35882 436 3012 TDP_85 Drought 2
## 92 2 08.49.03 150714 689 2878 TDP_153 Drought 2
## 93 2 08.50.09 20294 537 1210 TDP_164 Drought 2
## 94 2 08.51.05 9520 383 921 TDP_82 Drought 2
## 95 2 08.51.57 122573 807 2537 TDP_81 Control 2
## 96 2 08.52.50 81876 595 2628 TDP_64 Control 2
## 97 2 08.53.45 117678 693 2996 TDP_86 Control 2
## 98 2 08.54.42 67520 572 2951 TDP_224 Control 2
## 99 2 08.56.32 58330 757 2656 TDP_216 Control 2
## 100 2 08.57.24 90217 655 2323 TDP_64 Drought 2
## 101 2 08.59.17 72968 492 1717 TDP_86 Drought 2
## 102 2 09.00.32 79041 626 2221 TDP_224 Drought 2
## 103 2 09.01.46 38923 525 2559 TDP_216 Drought 2
## 104 2 09.02.38 71645 777 2581 TDP_174 Control 2
## 105 2 09.03.39 25502 542 2023 TDP_198 Control 2
## 106 2 09.04.40 39453 526 1340 TDP_173 Control 2
## 107 2 09.05.32 18398 420 1686 TDP_197 Control 2
## 108 2 09.06.25 37120 432 1613 TDP_174 Drought 2
## 109 2 09.07.16 17319 577 1528 TDP_198 Drought 2
## 110 2 09.08.15 16838 677 1812 TDP_173 Drought 2
## 111 2 09.09.06 37430 593 1550 TDP_197 Drought 2
## 112 2 09.09.59 47652 498 2192 TDP_184 Control 2
## 113 2 09.12.07 96259 671 2987 TDP_185 Control 2
## 114 2 09.13.37 13945 293 2080 TDP_190 Control 2
## 115 2 09.15.28 52133 620 2216 TDP_183 Control 2
## 116 2 09.16.20 25411 329 2322 TDP_194 Control 2
## 117 2 09.17.11 44350 613 2280 TDP_184 Drought 2
## 118 2 09.18.18 63772 476 2600 TDP_185 Drought 2
## 119 2 09.19.12 21629 455 2099 TDP_190 Drought 2
## 120 2 09.20.03 26336 586 2140 TDP_183 Drought 2
## 121 2 09.20.55 23927 448 2640 TDP_194 Drought 2
## 122 2 09.21.46 63128 624 2756 TDP_195 Control 2
## 123 2 09.22.36 27562 539 2783 TDP_191 Control 2
## 124 2 09.24.53 27602 801 2138 TDP_187 Control 2
## 125 2 09.25.52 82468 469 1668 TDP_177 Control 2
## 126 2 09.26.52 72885 503 2823 TDP_195 Drought 2
## 127 2 09.27.42 46368 607 2213 TDP_191 Drought 2
## 128 2 09.28.32 27278 610 2049 TDP_187 Drought 2
## 129 2 09.29.24 64532 741 2155 TDP_177 Drought 2
## 130 2 09.30.19 108628 583 2799 TDP_188 Control 2
## 131 2 09.31.10 94424 414 2642 TDP_180 Control 2
## 132 2 09.32.01 43054 586 2091 TDP_206 Control 2
## 133 2 09.33.51 56223 424 2164 TDP_207 Control 2
## 134 2 09.35.03 10123 543 1333 TDP_189 Control 2
## 135 2 09.36.47 24912 113 1290 TDP_180 Drought 2
## 136 2 09.38.23 65997 495 2735 TDP_206 Drought 2
## 137 2 09.39.14 51169 670 2126 TDP_207 Drought 2
## 138 2 09.40.05 13430 436 1667 TDP_189 Drought 2
## 139 2 09.40.55 52449 621 3053 TDP_181 Control 2
## 140 2 09.42.26 27901 502 1890 TDP_203 Control 2
## 141 2 09.43.18 114633 579 3596 TDP_186 Control 2
## 142 2 09.44.16 201956 534 3013 TDP_176 Control 2
## 143 2 09.45.07 11686 895 1243 TDP_182 Control 2
## 144 2 09.45.56 50221 590 2010 TDP_181 Drought 2
## 145 2 09.46.47 31293 510 1783 TDP_203 Drought 2
## 146 2 09.47.37 77054 516 2670 TDP_186 Drought 2
## 147 2 09.48.45 104572 526 2270 TDP_176 Drought 2
## 148 2 09.51.43 196243 553 2928 TDP_176 Control 2
## 149 2 09.53.09 90798 575 1882 TDP_359_c Control 2
## 150 2 09.54.01 100037 625 2141 TDP_359_c Drought 2
## 151 2 09.54.52 137109 1218 2469 TDP_22_c Control 2
## 152 2 11.53.09 6191 159 975 TDP_81 Drought 2
## 153 4 09.54.06 419349 1208 4280 TDP_147 Control 4
## 154 4 09.55.07 115460 915 3529 TDP_171 Control 4
## 155 4 09.56.03 140685 653 3360 TDP_96 Control 4
## 156 4 09.57.08 171795 803 2811 TDP_172 Control 4
## 157 4 09.58.12 395651 869 4240 TDP_87 Control 4
## 158 4 09.59.13 329670 1129 4549 TDP_147 Drought 4
## 159 4 10.00.16 76653 675 2869 TDP_171 Drought 4
## 160 4 10.01.12 59758 616 2848 TDP_96 Drought 4
## 161 4 10.02.03 53468 675 2811 TDP_172 Drought 4
## 162 4 10.03.06 102146 526 2431 TDP_87 Drought 4
## 163 4 10.04.01 261817 700 3645 TDP_85 Control 4
## 164 4 10.04.59 210138 650 3180 TDP_153 Control 4
## 165 4 10.05.53 34087 500 2283 TDP_164 Control 4
## 166 4 10.06.56 34712 313 1392 TDP_82 Control 4
## 167 4 10.07.51 78011 472 2338 TDP_85 Drought 4
## 168 4 10.08.44 159093 703 3431 TDP_153 Drought 4
## 169 4 10.09.37 23557 582 1438 TDP_164 Drought 4
## 170 4 10.10.38 8098 422 831 TDP_82 Drought 4
## 171 4 10.11.32 189360 892 2961 TDP_81 Control 4
## 172 4 10.12.26 94842 567 2775 TDP_64 Control 4
## 173 4 10.13.19 185490 498 3552 TDP_86 Control 4
## 174 4 10.14.13 96468 602 2902 TDP_224 Control 4
## 175 4 10.15.14 89672 958 2727 TDP_216 Control 4
## 176 4 10.16.10 6693 334 1479 TDP_81 Drought 4
## 177 4 10.17.04 67506 776 2718 TDP_64 Drought 4
## 178 4 10.17.58 77083 509 2279 TDP_86 Drought 4
## 179 4 10.18.59 96610 506 2582 TDP_224 Drought 4
## 180 4 10.19.51 36579 519 2870 TDP_216 Drought 4
## 181 4 10.20.47 112205 629 2923 TDP_174 Control 4
## 182 4 10.21.40 36894 693 2151 TDP_198 Control 4
## 183 4 10.22.38 59250 511 2009 TDP_173 Control 4
## 184 4 10.23.31 26874 557 2219 TDP_197 Control 4
## 185 4 10.24.54 57967 465 1800 TDP_174 Drought 4
## 186 4 10.25.49 24630 582 1737 TDP_198 Drought 4
## 187 4 10.26.45 24827 701 1916 TDP_173 Drought 4
## 188 4 10.27.37 41067 603 2059 TDP_197 Drought 4
## 189 4 10.28.29 77291 512 2043 TDP_184 Control 4
## 190 4 10.29.22 143682 996 3457 TDP_185 Control 4
## 191 4 10.30.15 31565 415 2193 TDP_190 Control 4
## 192 4 10.31.20 91196 885 2769 TDP_183 Control 4
## 193 4 10.32.11 32750 391 2776 TDP_194 Control 4
## 194 4 10.33.04 38092 549 2121 TDP_184 Drought 4
## 195 4 10.33.56 78868 650 2594 TDP_185 Drought 4
## 196 4 10.34.48 33389 564 2556 TDP_190 Drought 4
## 197 4 10.35.41 61405 404 2201 TDP_183 Drought 4
## 198 4 10.36.32 32084 380 3099 TDP_194 Drought 4
## 199 4 10.37.27 109526 843 2779 TDP_195 Control 4
## 200 4 10.38.20 57519 644 3142 TDP_191 Control 4
## 201 4 10.39.13 32854 613 2816 TDP_187 Control 4
## 202 4 10.40.41 113408 424 2031 TDP_177 Control 4
## 203 4 10.41.34 97805 769 2653 TDP_195 Drought 4
## 204 4 10.42.27 45518 660 2386 TDP_191 Drought 4
## 205 4 10.43.21 33610 626 2648 TDP_187 Drought 4
## 206 4 10.44.22 78064 606 2940 TDP_177 Drought 4
## 207 4 10.45.33 172190 591 3143 TDP_188 Control 4
## 208 4 10.46.51 145231 667 2951 TDP_180 Control 4
## 209 4 10.47.49 71665 614 2627 TDP_206 Control 4
## 210 4 10.48.46 64037 575 2593 TDP_207 Control 4
## 211 4 10.49.41 15715 489 1748 TDP_189 Control 4
## 212 4 10.51.28 36267 178 1760 TDP_180 Drought 4
## 213 4 10.52.18 71752 467 3148 TDP_206 Drought 4
## 214 4 10.53.09 65042 726 2045 TDP_207 Drought 4
## 215 4 10.54.02 19531 418 1857 TDP_189 Drought 4
## 216 4 10.54.58 86738 460 3212 TDP_181 Control 4
## 217 4 10.56.10 34041 527 2312 TDP_203 Control 4
## 218 4 10.57.01 221677 682 4079 TDP_186 Control 4
## 219 4 10.57.53 229779 567 3289 TDP_176 Control 4
## 220 4 10.58.42 50415 876 2286 TDP_182 Control 4
## 221 4 10.59.32 57646 754 2282 TDP_181 Drought 4
## 222 4 11.00.30 42035 543 2164 TDP_203 Drought 4
## 223 4 11.08.33 96784 472 3014 TDP_186 Drought 4
## 224 4 11.09.32 133904 595 2736 TDP_176 Drought 4
## 225 4 11.11.19 130791 594 2278 TDP_359_c Control 4
## 226 4 11.12.13 129902 853 2562 TDP_359_c Drought 4
## 227 4 11.13.31 289729 1067 3172 TDP_22_c Control 4
## 228 4 11.14.24 155101 1030 3316 TDP_22_c Drought 4
## 229 6 12.06.01 554967 1015 4250 TDP_147 Control 6
## 230 6 12.07.30 170795 749 3641 TDP_171 Control 6
## 231 6 12.09.01 208787 690 3882 TDP_96 Control 6
## 232 6 12.09.54 219290 770 3223 TDP_172 Control 6
## 233 6 12.10.52 504208 839 4409 TDP_87 Control 6
## 234 6 12.11.44 473026 1060 4103 TDP_147 Drought 6
## 235 6 12.12.37 64983 642 2572 TDP_171 Drought 6
## 236 6 12.13.28 93021 668 2372 TDP_96 Drought 6
## 237 6 12.14.20 88142 832 3018 TDP_172 Drought 6
## 238 6 12.15.37 121686 613 2483 TDP_87 Drought 6
## 239 6 12.16.36 377064 715 3755 TDP_85 Control 6
## 240 6 12.17.29 304356 877 3707 TDP_153 Control 6
## 241 6 12.19.33 45615 495 2448 TDP_164 Control 6
## 242 6 12.20.25 85063 332 1855 TDP_82 Control 6
## 243 6 12.21.17 107657 426 2418 TDP_85 Drought 6
## 244 6 12.22.14 238172 589 3330 TDP_153 Drought 6
## 245 6 12.23.24 27290 631 1683 TDP_164 Drought 6
## 246 6 12.25.27 53140 485 1944 TDP_82 Drought 6
## 247 6 12.26.29 259289 833 3037 TDP_81 Control 6
## 248 6 12.27.21 172007 635 3166 TDP_64 Control 6
## 249 6 12.28.14 270199 517 4108 TDP_86 Control 6
## 250 6 12.30.51 153246 905 3199 TDP_224 Control 6
## 251 6 12.31.45 131916 773 2951 TDP_216 Control 6
## 252 6 12.32.36 47865 697 1450 TDP_81 Drought 6
## 253 6 12.33.29 114805 695 2356 TDP_64 Drought 6
## 254 6 12.34.23 112714 567 2216 TDP_86 Drought 6
## 255 6 12.35.17 141664 583 2814 TDP_224 Drought 6
## 256 6 12.37.08 50869 517 2856 TDP_216 Drought 6
## 257 6 12.38.20 171034 663 3022 TDP_174 Control 6
## 258 6 12.39.13 54743 823 2218 TDP_198 Control 6
## 259 6 12.40.07 88926 528 2762 TDP_173 Control 6
## 260 6 12.41.30 21872 544 2385 TDP_197 Control 6
## 261 6 12.42.27 71050 614 2033 TDP_174 Drought 6
## 262 6 12.43.27 35191 614 1859 TDP_198 Drought 6
## 263 6 12.44.18 45644 804 2676 TDP_173 Drought 6
## 264 6 12.45.08 33132 600 2144 TDP_197 Drought 6
## 265 6 12.45.58 122177 807 2471 TDP_184 Control 6
## 266 6 12.47.59 119688 801 2492 TDP_184 Control 6
## 267 6 12.48.59 251816 786 3486 TDP_185 Control 6
## 268 6 12.49.50 59518 517 2317 TDP_190 Control 6
## 269 6 12.50.42 123964 715 3036 TDP_183 Control 6
## 270 6 12.51.33 34884 616 2695 TDP_194 Control 6
## 271 6 12.52.28 99245 630 2399 TDP_184 Drought 6
## 272 6 12.53.30 118425 859 2616 TDP_185 Drought 6
## 273 6 12.54.21 55078 519 2620 TDP_190 Drought 6
## 274 6 12.56.34 85970 360 2562 TDP_183 Drought 6
## 275 6 12.57.25 56890 535 3350 TDP_194 Drought 6
## 276 6 12.58.17 150421 816 3116 TDP_195 Control 6
## 277 6 12.59.35 75569 693 3174 TDP_191 Control 6
## 278 6 13.00.55 55970 607 2864 TDP_187 Control 6
## 279 6 13.01.50 175869 473 2311 TDP_177 Control 6
## 280 6 13.02.41 131317 912 2733 TDP_195 Drought 6
## 281 6 13.03.33 89415 790 2300 TDP_191 Drought 6
## 282 6 13.04.26 55070 731 2914 TDP_187 Drought 6
## 283 6 13.05.19 106405 650 2767 TDP_177 Drought 6
## 284 6 13.06.13 215493 796 3546 TDP_188 Control 6
## 285 6 13.07.05 147163 545 3610 TDP_180 Control 6
## 286 6 13.08.03 140225 640 2782 TDP_206 Control 6
## 287 6 13.08.54 107432 509 2867 TDP_207 Control 6
## 288 6 13.09.45 20590 584 1875 TDP_189 Control 6
## 289 6 13.11.34 98492 292 1965 TDP_180 Drought 6
## 290 6 13.12.25 123961 591 3104 TDP_206 Drought 6
## 291 6 13.13.19 87103 772 2130 TDP_207 Drought 6
## 292 6 13.14.21 33685 446 2297 TDP_189 Drought 6
## 293 6 13.15.13 109610 582 4085 TDP_181 Control 6
## 294 6 13.16.19 66803 615 2512 TDP_203 Control 6
## 295 6 13.17.16 264138 494 3867 TDP_186 Control 6
## 296 6 13.18.25 372802 781 3320 TDP_176 Control 6
## 297 6 13.19.18 40861 851 2768 TDP_182 Control 6
## 298 6 13.20.33 107437 685 2545 TDP_181 Drought 6
## 299 6 13.21.26 75982 672 2164 TDP_203 Drought 6
## 300 6 13.22.18 117115 550 3457 TDP_186 Drought 6
## 301 6 13.23.12 156332 563 3277 TDP_176 Drought 6
## 302 6 13.25.57 181924 705 2912 TDP_359_c Control 6
## 303 6 13.27.38 141117 553 2837 TDP_359_c Drought 6
## 304 6 13.28.29 397942 1197 4440 TDP_22_c Control 6
## 305 6 13.29.30 261640 1116 3453 TDP_22_c Drought 6
## 306 8 09.06.10 869026 995 4447 TDP_147 Control 8
## 307 8 09.07.22 206355 714 3261 TDP_171 Control 8
## 308 8 09.08.13 271501 728 3800 TDP_96 Control 8
## 309 8 09.09.05 219434 761 3414 TDP_172 Control 8
## 310 8 09.09.56 576907 790 4834 TDP_87 Control 8
## 311 8 09.10.49 578624 1064 4514 TDP_147 Drought 8
## 312 8 09.11.42 47411 594 2670 TDP_171 Drought 8
## 313 8 09.12.36 80581 573 2661 TDP_96 Drought 8
## 314 8 09.13.29 106713 554 3189 TDP_172 Drought 8
## 315 8 09.14.28 138405 608 2942 TDP_87 Drought 8
## 316 8 09.15.24 471375 739 4144 TDP_85 Control 8
## 317 8 09.16.15 356234 833 3798 TDP_153 Control 8
## 318 8 09.17.13 94363 584 2491 TDP_164 Control 8
## 319 8 09.18.16 66965 320 2454 TDP_82 Control 8
## 320 8 09.19.08 117304 434 2715 TDP_85 Drought 8
## 321 8 09.20.00 251258 652 3679 TDP_153 Drought 8
## 322 8 09.20.51 34456 626 1828 TDP_164 Drought 8
## 323 8 09.21.52 48404 522 2132 TDP_82 Drought 8
## 324 8 09.23.03 354788 862 3313 TDP_81 Control 8
## 325 8 09.23.55 212242 677 3754 TDP_64 Control 8
## 326 8 09.24.58 313824 573 3598 TDP_86 Control 8
## 327 8 09.25.49 179869 626 3644 TDP_224 Control 8
## 328 8 09.26.43 148636 799 2992 TDP_216 Control 8
## 329 8 09.27.39 28072 763 1560 TDP_81 Drought 8
## 330 8 09.28.34 97813 706 2548 TDP_64 Drought 8
## 331 8 09.29.28 129171 608 2281 TDP_86 Drought 8
## 332 8 09.30.22 191994 597 3322 TDP_224 Drought 8
## 333 8 09.31.15 46277 573 2764 TDP_216 Drought 8
## 334 8 09.32.05 265879 713 3149 TDP_174 Control 8
## 335 8 09.34.29 74281 645 3020 TDP_198 Control 8
## 336 8 09.35.56 105509 548 2256 TDP_173 Control 8
## 337 8 09.37.51 62787 555 2303 TDP_197 Control 8
## 338 8 09.38.44 111615 600 2491 TDP_174 Drought 8
## 339 8 09.39.36 36344 606 1914 TDP_198 Drought 8
## 340 8 09.44.36 45188 698 2438 TDP_173 Drought 8
## 341 8 09.45.59 60595 635 1505 TDP_197 Drought 8
## 342 8 09.46.49 185054 850 3453 TDP_184 Control 8
## 343 8 09.47.41 232532 748 3519 TDP_185 Control 8
## 344 8 09.48.33 69595 738 2697 TDP_190 Control 8
## 345 8 09.49.24 166981 810 3067 TDP_183 Control 8
## 346 8 09.50.31 38867 551 2875 TDP_194 Control 8
## 347 8 09.52.18 83219 604 2244 TDP_184 Drought 8
## 348 8 09.53.29 100367 888 2731 TDP_185 Drought 8
## 349 8 09.57.28 85913 527 2906 TDP_190 Drought 8
## 350 8 09.59.14 90490 398 2500 TDP_183 Drought 8
## 351 8 10.00.08 41165 425 3413 TDP_194 Drought 8
## 352 8 10.01.07 153382 819 3572 TDP_195 Control 8
## 353 8 10.01.58 107316 725 3127 TDP_191 Control 8
## 354 8 10.02.50 69481 769 2972 TDP_187 Control 8
## 355 8 10.03.41 235005 520 2830 TDP_177 Control 8
## 356 8 10.04.33 137145 823 2556 TDP_195 Drought 8
## 357 8 10.05.53 85704 714 2186 TDP_191 Drought 8
## 358 8 10.06.46 52037 523 3483 TDP_187 Drought 8
## 359 8 10.07.50 99210 669 3188 TDP_177 Drought 8
## 360 8 10.08.43 266672 763 3773 TDP_188 Control 8
## 361 8 10.09.54 203782 580 3696 TDP_180 Control 8
## 362 8 10.10.51 171628 650 3410 TDP_206 Control 8
## 363 8 10.11.44 123298 566 2921 TDP_207 Control 8
## 364 8 10.12.44 37506 552 2833 TDP_189 Control 8
## 365 8 10.14.47 78497 377 2028 TDP_180 Drought 8
## 366 8 10.16.06 149056 730 3161 TDP_206 Drought 8
## 367 8 10.17.35 86438 888 2038 TDP_207 Drought 8
## 368 8 10.18.27 22461 497 2094 TDP_189 Drought 8
## 369 8 10.19.20 174933 685 4071 TDP_181 Control 8
## 370 8 10.20.50 94183 805 2487 TDP_203 Control 8
## 371 8 10.21.50 263499 567 4344 TDP_186 Control 8
## 372 8 10.22.42 475609 595 3890 TDP_176 Control 8
## 373 8 10.24.06 63340 919 3498 TDP_182 Control 8
## 374 8 10.25.03 111487 701 2661 TDP_181 Drought 8
## 375 8 10.29.06 90423 850 2302 TDP_203 Drought 8
## 376 8 10.31.10 130119 571 3148 TDP_186 Drought 8
## 377 8 10.33.29 185956 491 3179 TDP_176 Drought 8
## 378 8 10.38.04 209041 686 3446 TDP_359_c Control 8
## 379 8 10.40.46 135046 561 2881 TDP_359_c Drought 8
## 380 8 10.42.30 419770 1248 4096 TDP_22_c Control 8
## 381 8 10.44.06 314454 1168 3588 TDP_22_c Drought 8
## 382 10 08.32.33 879094 1140 4715 TDP_147 Control 10
## 383 10 08.33.47 173552 751 3292 TDP_171 Control 10
## 384 10 08.34.37 305784 756 4150 TDP_96 Control 10
## 385 10 08.35.37 242612 825 3764 TDP_172 Control 10
## 386 10 08.36.28 565396 935 5135 TDP_87 Control 10
## 387 10 08.37.22 533075 1051 4673 TDP_147 Drought 10
## 388 10 08.38.12 57887 581 2741 TDP_171 Drought 10
## 389 10 08.39.03 88299 647 2617 TDP_96 Drought 10
## 390 10 08.39.54 89716 548 3257 TDP_172 Drought 10
## 391 10 08.40.46 153246 760 3276 TDP_87 Drought 10
## 392 10 08.41.35 604920 852 4338 TDP_85 Control 10
## 393 10 08.42.27 405376 903 4247 TDP_153 Control 10
## 394 10 08.43.17 107276 837 2564 TDP_164 Control 10
## 395 10 08.44.08 104385 398 2858 TDP_82 Control 10
## 396 10 08.44.59 138091 530 3037 TDP_85 Drought 10
## 397 10 08.45.51 352540 729 3904 TDP_153 Drought 10
## 398 10 08.47.22 63364 678 2261 TDP_164 Drought 10
## 399 10 08.48.14 50237 582 2215 TDP_82 Drought 10
## 400 10 08.49.07 447034 1043 3602 TDP_81 Control 10
## 401 10 08.50.15 276267 815 3610 TDP_64 Control 10
## 402 10 08.52.35 379274 559 4160 TDP_86 Control 10
## 403 10 08.53.30 276735 688 3957 TDP_224 Control 10
## 404 10 08.54.29 173754 887 3099 TDP_216 Control 10
## 405 10 08.55.21 17484 592 1864 TDP_81 Drought 10
## 406 10 08.56.22 121843 708 2636 TDP_64 Drought 10
## 407 10 08.57.45 161096 626 2482 TDP_86 Drought 10
## 408 10 08.58.39 240857 646 3373 TDP_224 Drought 10
## 409 10 08.59.33 61592 617 2694 TDP_216 Drought 10
## 410 10 09.00.22 411078 756 3771 TDP_174 Control 10
## 411 10 09.01.12 94989 633 3186 TDP_198 Control 10
## 412 10 09.02.05 171738 669 2659 TDP_173 Control 10
## 413 10 09.03.56 47866 560 2653 TDP_197 Control 10
## 414 10 09.05.31 135333 668 2713 TDP_174 Drought 10
## 415 10 09.06.24 46505 615 2057 TDP_198 Drought 10
## 416 10 09.08.16 65051 730 2706 TDP_173 Drought 10
## 417 10 09.09.20 44852 759 2236 TDP_197 Drought 10
## 418 10 09.10.14 242189 859 3105 TDP_184 Control 10
## 419 10 09.11.10 315842 942 4289 TDP_185 Control 10
## 420 10 09.12.40 104768 587 2849 TDP_190 Control 10
## 421 10 13.55.21 232198 827 3561 TDP_183 Control 10
## 422 10 13.56.24 66527 843 3071 TDP_194 Control 10
## 423 10 13.57.27 67341 754 2299 TDP_184 Drought 10
## 424 10 13.58.18 87439 758 2752 TDP_185 Drought 10
## 425 10 13.59.18 64920 517 2948 TDP_190 Drought 10
## 426 10 14.00.12 78248 398 2472 TDP_183 Drought 10
## 427 10 14.01.04 59453 415 3639 TDP_194 Drought 10
## 428 10 14.01.54 173277 916 3825 TDP_195 Control 10
## 429 10 14.02.45 120703 700 3200 TDP_191 Control 10
## 430 10 14.03.36 74056 900 3149 TDP_187 Control 10
## 431 10 14.04.27 281668 593 3665 TDP_177 Control 10
## 432 10 14.05.18 105472 785 2859 TDP_195 Drought 10
## 433 10 14.06.08 67052 726 2388 TDP_191 Drought 10
## 434 10 14.07.00 60406 568 3498 TDP_187 Drought 10
## 435 10 14.07.52 104968 727 3064 TDP_177 Drought 10
## 436 10 14.08.49 370224 832 3909 TDP_188 Control 10
## 437 10 14.09.41 282290 712 4206 TDP_180 Control 10
## 438 10 14.10.35 197219 627 4048 TDP_206 Control 10
## 439 10 14.12.27 168294 695 3270 TDP_207 Control 10
## 440 10 14.13.42 180603 705 3324 TDP_207 Control 10
## 441 10 14.14.34 48083 487 2637 TDP_189 Control 10
## 442 10 14.16.16 88494 479 2396 TDP_180 Drought 10
## 443 10 14.17.09 125242 666 3362 TDP_206 Drought 10
## 444 10 14.18.10 108436 1046 2169 TDP_207 Drought 10
## 445 10 14.19.03 25310 673 2128 TDP_189 Drought 10
## 446 10 14.19.57 185771 625 4902 TDP_181 Control 10
## 447 10 14.20.59 125779 851 3249 TDP_203 Control 10
## 448 10 14.21.51 312332 929 4443 TDP_186 Control 10
## 449 10 14.23.01 532562 836 4970 TDP_176 Control 10
## 450 10 14.26.18 117521 1116 3524 TDP_182 Control 10
## 451 10 14.27.22 114239 891 3048 TDP_181 Drought 10
## 452 10 14.28.16 119356 847 2833 TDP_203 Drought 10
## 453 10 14.29.08 152377 677 3202 TDP_186 Drought 10
## 454 10 14.30.49 199887 666 3594 TDP_176 Drought 10
## 455 10 14.33.42 260795 685 4353 TDP_359_c Control 10
## 456 10 14.35.02 115372 572 2891 TDP_359_c Drought 10
## 457 10 14.36.17 564673 1229 4589 TDP_22_c Control 10
## 458 10 14.37.30 292654 1214 3884 TDP_22_c Drought 10
## 459 12 15.28.50 1085827 1059 4600 TDP_147 Control 12
## 460 12 15.30.51 223000 933 3397 TDP_171 Control 12
## 461 12 15.31.42 353615 755 3721 TDP_96 Control 12
## 462 12 15.32.59 285591 798 4357 TDP_172 Control 12
## 463 12 15.34.28 699167 992 5487 TDP_87 Control 12
## 464 12 15.35.20 529871 1070 4101 TDP_147 Drought 12
## 465 12 15.38.14 103405 643 2595 TDP_171 Drought 12
## 466 12 15.39.15 135979 604 3006 TDP_96 Drought 12
## 467 12 15.40.06 112567 662 3195 TDP_172 Drought 12
## 468 12 15.40.58 182034 666 3040 TDP_87 Drought 12
## 469 12 15.41.49 809374 1072 4349 TDP_85 Control 12
## 470 12 15.42.41 566004 945 4689 TDP_153 Control 12
## 471 12 15.43.43 115829 598 3164 TDP_164 Control 12
## 472 12 15.44.34 148583 582 3083 TDP_82 Control 12
## 473 12 15.45.26 218286 546 3274 TDP_85 Drought 12
## 474 12 15.46.18 356020 824 3055 TDP_153 Drought 12
## 475 12 15.47.09 86446 806 2503 TDP_164 Drought 12
## 476 12 15.48.00 83272 648 1743 TDP_82 Drought 12
## 477 12 15.48.57 585765 847 4151 TDP_81 Control 12
## 478 12 15.49.56 350475 956 4067 TDP_64 Control 12
## 479 12 15.51.40 542607 630 4708 TDP_86 Control 12
## 480 12 15.52.44 396070 835 3566 TDP_224 Control 12
## 481 12 15.53.35 219320 986 3214 TDP_216 Control 12
## 482 12 15.54.26 37323 762 1301 TDP_81 Drought 12
## 483 12 15.55.18 159125 822 2654 TDP_64 Drought 12
## 484 12 15.56.10 214394 626 2343 TDP_86 Drought 12
## 485 12 15.57.27 306988 795 3462 TDP_224 Drought 12
## 486 12 15.58.32 77220 788 2591 TDP_216 Drought 12
## 487 12 15.59.27 482672 834 3710 TDP_174 Control 12
## 488 12 16.00.18 154856 762 2930 TDP_198 Control 12
## 489 12 16.01.10 230867 625 2483 TDP_173 Control 12
## 490 12 16.02.02 64154 635 2701 TDP_197 Control 12
## 491 12 16.02.53 151997 775 3026 TDP_174 Drought 12
## 492 12 16.03.44 51320 657 1952 TDP_198 Drought 12
## 493 12 16.04.35 69272 739 2804 TDP_173 Drought 12
## 494 12 16.05.26 30259 700 1840 TDP_197 Drought 12
## 495 12 16.06.17 285084 993 3582 TDP_184 Control 12
## 496 12 16.07.15 407723 833 3629 TDP_185 Control 12
## 497 12 16.08.20 107649 746 3082 TDP_190 Control 12
## 498 12 16.09.12 304415 1057 3390 TDP_183 Control 12
## 499 12 16.10.02 84368 625 3250 TDP_194 Control 12
## 500 12 16.10.53 111167 734 2486 TDP_184 Drought 12
## 501 12 16.11.43 187204 885 2605 TDP_185 Drought 12
## 502 12 16.14.41 125595 551 2697 TDP_190 Drought 12
## 503 12 16.15.32 140573 499 2272 TDP_183 Drought 12
## 504 12 16.16.23 82763 326 3616 TDP_194 Drought 12
## 505 12 16.17.17 260632 963 3889 TDP_195 Control 12
## 506 12 16.18.08 196613 750 3535 TDP_191 Control 12
## 507 12 16.18.59 132405 789 3103 TDP_187 Control 12
## 508 12 16.19.50 398170 624 3406 TDP_177 Control 12
## 509 12 16.20.41 185556 850 2235 TDP_195 Drought 12
## 510 12 16.21.34 147495 797 2250 TDP_191 Drought 12
## 511 12 16.22.31 120521 697 3519 TDP_187 Drought 12
## 512 12 16.23.21 151612 747 3259 TDP_177 Drought 12
## 513 12 16.24.26 449128 821 3828 TDP_188 Control 12
## 514 12 16.25.15 370626 892 4324 TDP_180 Control 12
## 515 12 16.26.06 331006 682 4062 TDP_206 Control 12
## 516 12 16.26.56 227047 846 3300 TDP_207 Control 12
## 517 12 16.27.46 66546 585 2746 TDP_189 Control 12
## 518 12 16.29.30 125869 643 2164 TDP_180 Drought 12
## 519 12 16.30.37 209398 716 3140 TDP_206 Drought 12
## 520 12 16.31.37 141840 901 2154 TDP_207 Drought 12
## 521 12 16.33.17 37104 795 2231 TDP_189 Drought 12
## 522 12 16.34.10 268002 621 4772 TDP_181 Control 12
## 523 12 16.35.05 178383 888 2808 TDP_203 Control 12
## 524 12 16.36.41 491892 902 4823 TDP_186 Control 12
## 525 12 16.37.32 661877 923 4313 TDP_176 Control 12
## 526 12 16.38.23 180865 1140 4157 TDP_182 Control 12
## 527 12 16.39.14 166417 686 2791 TDP_181 Drought 12
## 528 12 16.40.07 166921 860 2830 TDP_203 Drought 12
## 529 12 16.40.59 176642 758 3013 TDP_186 Drought 12
## 530 12 16.41.51 272212 599 3450 TDP_176 Drought 12
## 531 12 16.43.30 365595 686 3673 TDP_359_c Control 12
## 532 12 16.44.40 166139 626 2964 TDP_359_c Drought 12
## 533 12 16.45.31 808365 1263 4756 TDP_22_c Control 12
## 534 12 16.48.02 369379 1164 3783 TDP_22_c Drought 12
## 535 14 10.41.23 1175050 1108 4855 TDP_147 Control 14
## 536 14 10.43.55 246429 943 3498 TDP_171 Control 14
## 537 14 10.45.19 419507 762 3397 TDP_96 Control 14
## 538 14 10.47.11 304299 989 5055 TDP_172 Control 14
## 539 14 10.48.13 905666 860 4622 TDP_87 Control 14
## 540 14 10.49.13 535699 1005 4101 TDP_147 Drought 14
## 541 14 10.50.05 125774 654 2538 TDP_171 Drought 14
## 542 14 10.50.57 160413 633 2339 TDP_96 Drought 14
## 543 14 10.51.47 144442 736 2905 TDP_172 Drought 14
## 544 14 10.52.38 203026 677 3191 TDP_87 Drought 14
## 545 14 10.54.06 916611 1017 4494 TDP_85 Control 14
## 546 14 10.54.58 676957 826 4363 TDP_153 Control 14
## 547 14 10.57.02 165835 643 2927 TDP_164 Control 14
## 548 14 10.58.09 211989 629 3251 TDP_82 Control 14
## 549 14 10.59.02 235063 553 3255 TDP_85 Drought 14
## 550 14 11.02.40 374173 754 3489 TDP_153 Drought 14
## 551 14 11.03.32 100255 783 2792 TDP_164 Drought 14
## 552 14 11.04.48 85297 664 1839 TDP_82 Drought 14
## 553 14 11.05.42 688124 880 4718 TDP_81 Control 14
## 554 14 11.06.33 426398 907 3759 TDP_64 Control 14
## 555 14 11.07.24 592792 702 4163 TDP_86 Control 14
## 556 14 11.08.19 484803 1040 3958 TDP_224 Control 14
## 557 14 11.09.12 249529 1084 3351 TDP_216 Control 14
## 558 14 11.10.14 29674 801 2116 TDP_81 Drought 14
## 559 14 11.11.45 186887 821 2733 TDP_64 Drought 14
## 560 14 11.12.37 228869 624 2443 TDP_86 Drought 14
## 561 14 11.13.30 322733 801 3302 TDP_224 Drought 14
## 562 14 11.14.20 107606 886 2643 TDP_216 Drought 14
## 563 14 11.15.15 612128 903 3930 TDP_174 Control 14
## 564 14 11.16.07 167595 893 3152 TDP_198 Control 14
## 565 14 11.16.58 241898 671 2765 TDP_173 Control 14
## 566 14 11.17.49 79320 750 2896 TDP_197 Control 14
## 567 14 11.18.55 177376 827 3235 TDP_174 Drought 14
## 568 14 11.19.46 68551 684 2180 TDP_198 Drought 14
## 569 14 11.20.55 74004 740 2667 TDP_173 Drought 14
## 570 14 11.21.49 33134 549 2261 TDP_197 Drought 14
## 571 14 11.22.40 359078 997 3799 TDP_184 Control 14
## 572 14 11.23.33 431022 786 4452 TDP_185 Control 14
## 573 14 11.24.24 132815 634 3915 TDP_190 Control 14
## 574 14 11.25.16 347500 903 3633 TDP_183 Control 14
## 575 14 11.26.09 109700 604 3306 TDP_194 Control 14
## 576 14 11.27.03 146000 737 2538 TDP_184 Drought 14
## 577 14 11.27.56 183705 901 2574 TDP_185 Drought 14
## 578 14 11.28.47 113272 593 2734 TDP_190 Drought 14
## 579 14 11.30.04 161165 617 2222 TDP_183 Drought 14
## 580 14 11.31.09 90375 382 3375 TDP_194 Drought 14
## 581 14 11.32.01 276966 815 3511 TDP_195 Control 14
## 582 14 11.32.52 201746 770 3324 TDP_191 Control 14
## 583 14 11.34.00 175387 874 2922 TDP_187 Control 14
## 584 14 11.34.50 451370 696 3459 TDP_177 Control 14
## 585 14 11.35.42 201868 818 2302 TDP_195 Drought 14
## 586 14 11.36.32 131032 772 2697 TDP_191 Drought 14
## 587 14 11.37.27 106800 642 3636 TDP_187 Drought 14
## 588 14 11.38.24 164289 622 3288 TDP_177 Drought 14
## 589 14 11.39.16 459959 884 3893 TDP_188 Control 14
## 590 14 11.40.15 457368 914 4636 TDP_180 Control 14
## 591 14 11.41.06 295407 846 4180 TDP_206 Control 14
## 592 14 11.41.57 249884 690 3536 TDP_207 Control 14
## 593 14 11.43.41 79097 714 2844 TDP_189 Control 14
## 594 14 11.45.08 84737 689 2753 TDP_189 Control 14
## 595 14 11.47.13 139836 672 2526 TDP_180 Drought 14
## 596 14 11.50.42 179669 721 3375 TDP_206 Drought 14
## 597 14 11.51.40 143007 939 2344 TDP_207 Drought 14
## 598 14 11.53.01 46945 632 2172 TDP_189 Drought 14
## 599 14 11.53.53 284464 747 4560 TDP_181 Control 14
## 600 14 11.54.48 165088 686 3050 TDP_203 Control 14
## 601 14 11.55.39 550151 918 4650 TDP_186 Control 14
## 602 14 11.56.30 739584 690 4442 TDP_176 Control 14
## 603 14 11.57.21 261643 1072 3802 TDP_182 Control 14
## 604 14 11.58.12 172058 717 2858 TDP_181 Drought 14
## 605 14 11.59.03 155757 897 3005 TDP_203 Drought 14
## 606 14 11.59.54 180731 721 2875 TDP_186 Drought 14
## 607 14 12.00.44 295725 625 3546 TDP_176 Drought 14
## 608 14 12.02.31 372556 689 3963 TDP_359_c Control 14
## 609 14 12.03.31 148252 740 2885 TDP_359_c Drought 14
## 610 14 12.05.16 959544 1355 4851 TDP_22_c Control 14
## 611 14 12.06.27 391659 1285 3720 TDP_22_c Drought 14plot(data_sum$Area.sum ~ data_sum$days)
# write.csv(data_sum, "data_sum.csv")data_sum$Ex <- 4Assign levels
Drop rows with missing values
cumm_data_clean <- data_sum %>% drop_na()
cumm_data_clean$Treatment <- factor(cumm_data_clean$Treatment, levels = c("Control","Drought"))We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
cumm_data_clean$sid <- paste0(cumm_data_clean$Accession, "_", substr(cumm_data_clean$Treatment, 1, 1))Ex4_Write cumm_data_clean into new file as final_Ex4
write.csv(cumm_data_clean, "final_Ex4.csv") ######################### Ex5 ##########################Loading all days processed images from Ex5.
d0 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex5_Results\\Results_Ex5_050223.csv",'show_col_types' = 'FALSE')
d2 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex5_Results\\Results_Ex5_050423.csv",'show_col_types' = 'FALSE')
d4 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex5_Results\\Results_Ex5_050623.csv",'show_col_types' = 'FALSE')
d6 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex5_Results\\Results_Ex5_050823.csv",'show_col_types' = 'FALSE')
d8 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex5_Results\\Results_Ex5_051023.csv", 'show_col_types' = 'FALSE')
d10 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex5_Results\\Results_Ex5_051223.csv",'show_col_types' = 'FALSE')
d12 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex5_Results\\Results_Ex5_051423.csv", 'show_col_types' = 'FALSE')
d14 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex5_Results\\Results_Ex5_051623.csv",'show_col_types' = 'FALSE')Bind all days together
comb <- rbind(d0, d2, d4, d6, d8, d10, d12,d14)Load potnames5 which has pot number,pot tag, accession names and treatment
potnames5 <- read_xlsx("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex5_Results\\potnames5.xlsx")Combining two sheets by matching potnumber and pot tag
h <- inner_join(comb,potnames5,by=c("Pot_no"="PotTag"))
h## # A tibble: 4,158 x 8
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
## 1 2023.05.02-15.17.~ 52186 900 519 1 1 TDP_323 Control
## 2 2023.05.02-15.17.~ 47653 871 612 1 1 TDP_323 Control
## 3 2023.05.02-15.17.~ 39834 873 421 1 1 TDP_323 Control
## 4 2023.05.02-15.17.~ 44604 943 455 1 1 TDP_323 Control
## 5 2023.05.02-15.17.~ 43743 924 596 1 1 TDP_323 Control
## 6 2023.05.02-15.17.~ 40535 928 513 1 1 TDP_323 Control
## 7 2023.05.02-15.17.~ 37050 906 391 1 1 TDP_323 Control
## 8 2023.05.02-15.18.~ 40056 631 430 2 2 TDP_338 Control
## 9 2023.05.02-15.18.~ 26443 623 331 2 2 TDP_338 Control
## 10 2023.05.02-15.18.~ 34333 638 357 2 2 TDP_338 Control
## # i 4,148 more rows##### Split the date and time and isolate both DATE and TIMESTAMP
h <- h %>%
mutate(date = str_extract(Image_name, "\\d{4}\\.\\d{2}\\.\\d{2}"),
timestamp = str_extract(Image_name, "\\d{2}\\.\\d{2}\\.\\d{2}(?=\\.)"))Calculate cumulative area from 7 different angles AND maximum width and height
Subset for one plant
today <- subset(h, h$date == unique(h$date)[1])
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[1])
one_plant## # A tibble: 7 x 10
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment date
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <chr>
## 1 2023.05.02-1~ 52186 900 519 1 1 TDP_323 Control 2023~
## 2 2023.05.02-1~ 47653 871 612 1 1 TDP_323 Control 2023~
## 3 2023.05.02-1~ 39834 873 421 1 1 TDP_323 Control 2023~
## 4 2023.05.02-1~ 44604 943 455 1 1 TDP_323 Control 2023~
## 5 2023.05.02-1~ 43743 924 596 1 1 TDP_323 Control 2023~
## 6 2023.05.02-1~ 40535 928 513 1 1 TDP_323 Control 2023~
## 7 2023.05.02-1~ 37050 906 391 1 1 TDP_323 Control 2023~
## # i 1 more variable: timestamp <chr>AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
sum(one_plant$Area)## [1] 305605max(one_plant$Width)## [1] 612max(one_plant$Height)## [1] 943Adding measurement to an empty table
names <- c("DATE", "TIME", "Area.sum", "Height.max", "Width.max")
data_sum <- data.frame()
for (k in names) data_sum[[k]] <- as.character()
data_sum[1,1] <- one_plant$date[1]
data_sum[1,2] <- one_plant$timestamp[1]
data_sum[1,3] <- sum(one_plant$Area)
data_sum[1,4] <- max(one_plant$Height)
data_sum[1,5] <- sum(one_plant$Width)
data_sum[1, c("Accession", "Treatment")] <- h[1, c("Accession", "Treatment")]
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment
## 1 2023.05.02 15.17.46 305605 943 3507 TDP_323 Controlcount <- 1
for(d in 1:length(unique(h$date))){
today <- subset(h, h$date == unique(h$date)[d])
for(t in 1:length(unique(today$timestamp))){
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[t])
if (nrow(one_plant) > 0) {
data_sum[count,1] <- one_plant$date[1]
data_sum[count,2] <- one_plant$timestamp[1]
data_sum[count,3] <- sum(one_plant$Area)
data_sum[count,4] <- max(one_plant$Height)
data_sum[count,5] <- sum(one_plant$Width)
data_sum[count, "Treatment"] <- one_plant$Treatment[1]
data_sum[count, "Accession"] <- one_plant$Accession[1]
count <- count + 1
}
}
}Assign values to “days” column based on specific dates
data_sum$days[data_sum$DATE == "2023.05.02"] <- 0
data_sum$days[data_sum$DATE == "2023.05.04"] <- 2
data_sum$days[data_sum$DATE == "2023.05.06"] <- 4
data_sum$days[data_sum$DATE == "2023.05.08"] <- 6
data_sum$days[data_sum$DATE == "2023.05.10"] <- 8
data_sum$days[data_sum$DATE == "2023.05.12"] <- 10
data_sum$days[data_sum$DATE == "2023.05.14"] <- 12
data_sum$days[data_sum$DATE == "2023.05.16"] <- 14Check no of sides
dim(h)[1] / dim(data_sum)[1]## [1] 7Plot Area.sum and Date
data_sum$Area.sum <- as.numeric(as.character(data_sum$Area.sum))
min(data_sum$Area.sum)## [1] 84unique(data_sum$days)## [1] 0 2 4 6 8 10 12 14# data_sum$DATE <- gsub("2023.05.", "", data_sum$DATE)
# data_sum$DATE <- as.numeric(as.character(data_sum$DATE))
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment days
## 1 2023.05.02 15.17.46 305605 943 3507 TDP_323 Control 0
## 2 2023.05.02 15.18.40 256158 734 2749 TDP_338 Control 0
## 3 2023.05.02 15.19.58 122837 878 2415 TDP_330 Control 0
## 4 2023.05.02 15.21.31 294170 797 3462 TDP_271 Control 0
## 5 2023.05.02 15.22.28 347473 1046 4240 TDP_323 Drought 0
## 6 2023.05.02 15.23.41 129978 722 2934 TDP_338 Drought 0
## 7 2023.05.02 15.24.38 89455 579 2573 TDP_330 Drought 0
## 8 2023.05.02 15.25.30 100302 754 3067 TDP_271 Drought 0
## 9 2023.05.02 15.26.48 86696 737 2712 TDP_234 Control 0
## 10 2023.05.02 15.27.40 107330 841 2321 TDP_211 Control 0
## 11 2023.05.02 15.28.31 185619 662 2997 TDP_252 Control 0
## 12 2023.05.02 15.29.36 73497 721 3818 TDP_241 Control 0
## 13 2023.05.02 15.30.51 133528 540 2992 TDP_234 Drought 0
## 14 2023.05.02 15.31.44 94282 664 2205 TDP_211 Drought 0
## 15 2023.05.02 15.32.39 204836 752 3827 TDP_252 Drought 0
## 16 2023.05.02 15.34.59 110556 777 3259 TDP_241 Drought 0
## 17 2023.05.02 15.36.11 40451 156 990 TDP_356 Control 0
## 18 2023.05.02 15.37.19 83755 692 2951 TDP_237 Control 0
## 19 2023.05.02 15.38.12 33909 597 2638 TDP_236 Control 0
## 20 2023.05.02 15.39.04 46090 740 1867 TDP_231 Control 0
## 21 2023.05.02 15.39.54 119666 644 2704 TDP_356 Drought 0
## 22 2023.05.02 15.40.44 16594 301 1536 TDP_237 Drought 0
## 23 2023.05.02 15.45.30 59965 465 2984 TDP_236 Drought 0
## 24 2023.05.02 15.47.28 91652 509 2461 TDP_231 Drought 0
## 25 2023.05.02 15.48.18 251793 936 3637 TDP_22_c Control 0
## 26 2023.05.02 15.49.08 179876 587 3607 TDP_359 Control 0
## 27 2023.05.02 15.49.59 218090 944 2784 TDP_404 Control 0
## 28 2023.05.02 15.50.53 14799 394 1699 TDP_402 Control 0
## 29 2023.05.02 15.51.50 186640 706 2932 TDP_359_c Control 0
## 30 2023.05.02 15.54.35 200920 1049 3458 TDP_22_c Drought 0
## 31 2023.05.02 15.55.24 206799 818 2872 TDP_359 Drought 0
## 32 2023.05.02 15.56.14 200407 668 3289 TDP_404 Drought 0
## 33 2023.05.02 15.57.06 163378 981 2877 TDP_402 Drought 0
## 34 2023.05.02 15.57.58 175446 727 3191 TDP_359_c Drought 0
## 35 2023.05.02 15.58.53 171564 704 2485 TDP_403 Control 0
## 36 2023.05.02 15.59.53 283321 1033 3439 TDP_209 Control 0
## 37 2023.05.02 16.00.58 98365 665 3267 TDP_204 Control 0
## 38 2023.05.02 16.01.49 573286 1273 4286 TDP_403 Drought 0
## 39 2023.05.02 16.02.39 447320 1197 5510 TDP_209 Drought 0
## 40 2023.05.02 16.04.02 62733 768 2922 TDP_204 Drought 0
## 41 2023.05.02 16.04.53 46705 550 2320 TDP_202 Control 0
## 42 2023.05.02 16.05.58 129957 593 2903 TDP_199 Control 0
## 43 2023.05.02 16.06.50 57019 498 2410 TDP_201 Control 0
## 44 2023.05.02 16.07.54 23971 146 1210 TDP_200 Control 0
## 45 2023.05.02 16.08.53 140229 583 2681 TDP_214 Control 0
## 46 2023.05.02 16.09.44 31426 780 1715 TDP_202 Drought 0
## 47 2023.05.02 16.10.33 30967 826 1928 TDP_199 Drought 0
## 48 2023.05.02 16.11.53 55448 580 2515 TDP_201 Drought 0
## 49 2023.05.02 16.12.43 55735 615 2385 TDP_200 Drought 0
## 50 2023.05.02 16.13.35 144159 604 2694 TDP_214 Drought 0
## 51 2023.05.02 16.14.27 48756 808 2169 TDP_218 Control 0
## 52 2023.05.02 16.15.31 360886 872 3705 TDP_219 Control 0
## 53 2023.05.02 16.16.22 74218 581 3599 TDP_230 Control 0
## 54 2023.05.02 16.17.12 94536 642 2101 TDP_221 Control 0
## 55 2023.05.02 16.18.02 90600 924 1707 TDP_215 Control 0
## 56 2023.05.02 16.18.54 346041 681 3120 TDP_218 Drought 0
## 57 2023.05.02 16.19.51 108737 867 2741 TDP_219 Drought 0
## 58 2023.05.02 16.20.40 15519 625 1003 TDP_230 Drought 0
## 59 2023.05.02 16.21.31 31832 675 1904 TDP_221 Drought 0
## 60 2023.05.02 16.22.24 274638 1004 3205 TDP_215 Drought 0
## 61 2023.05.02 16.23.12 25834 549 1288 TDP_229 Control 0
## 62 2023.05.02 16.24.02 37519 915 3075 TDP_222 Control 0
## 63 2023.05.02 16.24.52 55476 963 3058 TDP_228 Control 0
## 64 2023.05.02 16.25.44 113033 611 3882 TDP_223 Control 0
## 65 2023.05.02 16.28.13 125140 1048 2804 TDP_220 Control 0
## 66 2023.05.02 16.30.17 43174 859 2417 TDP_229 Drought 0
## 67 2023.05.02 16.33.12 234865 687 2684 TDP_222 Drought 0
## 68 2023.05.02 16.37.13 6377 264 927 TDP_228 Drought 0
## 69 2023.05.02 16.55.34 215835 746 2185 TDP_223 Drought 0
## 70 2023.05.02 16.56.52 14200 788 925 TDP_220 Drought 0
## 71 2023.05.02 16.58.10 107546 805 2532 TDP_227 Control 0
## 72 2023.05.02 17.01.15 95747 1070 3151 TDP_226 Control 0
## 73 2023.05.02 17.02.22 31031 713 1845 TDP_227 Drought 0
## 74 2023.05.02 17.03.26 12058 169 1056 TDP_226 Drought 0
## 75 2023.05.04 13.42.06 437474 858 3928 TDP_323 Control 2
## 76 2023.05.04 13.43.22 333959 861 3046 TDP_338 Control 2
## 77 2023.05.04 13.45.11 215143 844 2906 TDP_330 Control 2
## 78 2023.05.04 13.46.27 391050 907 3937 TDP_271 Control 2
## 79 2023.05.04 13.48.01 384338 1010 3003 TDP_323 Drought 2
## 80 2023.05.04 13.49.30 141436 996 3155 TDP_338 Drought 2
## 81 2023.05.04 13.50.50 105573 703 2732 TDP_330 Drought 2
## 82 2023.05.04 13.51.53 90172 627 3203 TDP_271 Drought 2
## 83 2023.05.04 13.54.38 163931 742 3323 TDP_234 Control 2
## 84 2023.05.04 13.55.28 98648 847 2734 TDP_211 Control 2
## 85 2023.05.04 13.56.42 197150 715 3153 TDP_252 Control 2
## 86 2023.05.04 13.57.49 85454 629 3729 TDP_241 Control 2
## 87 2023.05.04 14.12.53 109028 594 2552 TDP_234 Drought 2
## 88 2023.05.04 14.14.38 112134 624 2449 TDP_211 Drought 2
## 89 2023.05.04 14.15.35 113426 624 2378 TDP_211 Drought 2
## 90 2023.05.04 14.16.28 239586 793 3667 TDP_252 Drought 2
## 91 2023.05.04 14.17.55 140133 822 3843 TDP_241 Drought 2
## 92 2023.05.04 14.19.53 50890 310 1039 TDP_356 Control 2
## 93 2023.05.04 14.21.59 105499 886 3011 TDP_237 Control 2
## 94 2023.05.04 14.22.53 122346 581 2681 TDP_236 Control 2
## 95 2023.05.04 14.23.52 47716 582 2231 TDP_231 Control 2
## 96 2023.05.04 14.24.42 171376 687 3089 TDP_356 Drought 2
## 97 2023.05.04 14.25.43 37661 498 2015 TDP_237 Drought 2
## 98 2023.05.04 14.26.35 78980 517 2903 TDP_236 Drought 2
## 99 2023.05.04 14.27.31 91392 419 2800 TDP_231 Drought 2
## 100 2023.05.04 14.29.50 326900 911 4184 TDP_22_c Control 2
## 101 2023.05.04 14.30.41 192200 700 3665 TDP_359 Control 2
## 102 2023.05.04 14.32.06 246853 815 3749 TDP_404 Control 2
## 103 2023.05.04 14.32.58 27446 497 2061 TDP_402 Control 2
## 104 2023.05.04 14.33.47 249490 678 2896 TDP_359_c Control 2
## 105 2023.05.04 14.34.57 246987 1072 3466 TDP_22_c Drought 2
## 106 2023.05.04 14.36.46 220185 694 2656 TDP_359 Drought 2
## 107 2023.05.04 14.38.04 183106 700 3577 TDP_404 Drought 2
## 108 2023.05.04 14.39.54 215969 1136 3216 TDP_402 Drought 2
## 109 2023.05.04 14.40.48 184710 944 3977 TDP_359_c Drought 2
## 110 2023.05.04 14.42.33 187889 917 3884 TDP_359_c Drought 2
## 111 2023.05.04 14.43.26 244311 703 2604 TDP_403 Control 2
## 112 2023.05.04 14.45.22 343998 963 3775 TDP_209 Control 2
## 113 2023.05.04 14.47.00 184705 690 3326 TDP_204 Control 2
## 114 2023.05.04 14.48.11 691920 1325 4056 TDP_403 Drought 2
## 115 2023.05.04 14.49.12 589721 1236 4931 TDP_209 Drought 2
## 116 2023.05.04 14.50.31 126197 857 3801 TDP_204 Drought 2
## 117 2023.05.04 14.51.22 49224 766 2472 TDP_202 Control 2
## 118 2023.05.04 14.52.12 98642 725 3565 TDP_199 Control 2
## 119 2023.05.04 14.53.04 89479 486 3626 TDP_201 Control 2
## 120 2023.05.04 14.53.56 31990 275 1389 TDP_200 Control 2
## 121 2023.05.04 14.55.00 174154 709 3295 TDP_214 Control 2
## 122 2023.05.04 14.56.13 47960 748 2268 TDP_202 Drought 2
## 123 2023.05.04 14.57.09 58841 496 1898 TDP_199 Drought 2
## 124 2023.05.04 14.58.09 48604 695 2451 TDP_201 Drought 2
## 125 2023.05.04 14.59.00 41100 679 2595 TDP_200 Drought 2
## 126 2023.05.04 14.59.51 115176 419 2843 TDP_214 Drought 2
## 127 2023.05.04 15.00.46 65639 678 2786 TDP_218 Control 2
## 128 2023.05.04 15.01.36 291926 1162 3672 TDP_219 Control 2
## 129 2023.05.04 15.02.53 77836 545 3922 TDP_230 Control 2
## 130 2023.05.04 15.04.08 201667 590 2597 TDP_221 Control 2
## 131 2023.05.04 15.04.59 123934 1011 2724 TDP_215 Control 2
## 132 2023.05.04 15.05.53 354173 877 3711 TDP_218 Drought 2
## 133 2023.05.04 15.06.51 90413 771 3261 TDP_219 Drought 2
## 134 2023.05.04 15.07.41 22228 961 1424 TDP_230 Drought 2
## 135 2023.05.04 15.08.31 44526 745 2215 TDP_221 Drought 2
## 136 2023.05.04 15.09.27 294122 1047 2897 TDP_215 Drought 2
## 137 2023.05.04 15.10.43 83441 764 1355 TDP_229 Control 2
## 138 2023.05.04 15.11.46 110763 872 3597 TDP_222 Control 2
## 139 2023.05.04 15.12.37 130316 788 3490 TDP_228 Control 2
## 140 2023.05.04 15.13.29 194915 746 4122 TDP_223 Control 2
## 141 2023.05.04 15.14.58 203387 1010 3013 TDP_220 Control 2
## 142 2023.05.04 15.15.50 144186 767 3249 TDP_229 Drought 2
## 143 2023.05.04 15.16.40 169783 675 3457 TDP_222 Drought 2
## 144 2023.05.04 15.17.31 10123 303 1159 TDP_228 Drought 2
## 145 2023.05.04 15.18.20 170880 834 2691 TDP_223 Drought 2
## 146 2023.05.04 15.19.18 12682 769 877 TDP_220 Drought 2
## 147 2023.05.04 15.20.12 123703 783 2469 TDP_227 Control 2
## 148 2023.05.04 15.21.32 162267 1193 3275 TDP_226 Control 2
## 149 2023.05.04 15.24.06 38092 881 2035 TDP_227 Drought 2
## 150 2023.05.04 15.24.57 16797 205 1165 TDP_226 Drought 2
## 151 2023.05.06 15.13.12 517995 1005 4282 TDP_323 Control 4
## 152 2023.05.06 15.15.31 398681 951 3414 TDP_338 Control 4
## 153 2023.05.06 15.16.35 259723 961 2869 TDP_330 Control 4
## 154 2023.05.06 15.17.35 500161 854 3666 TDP_271 Control 4
## 155 2023.05.06 15.18.45 251054 1000 1913 TDP_323 Drought 4
## 156 2023.05.06 15.19.54 150069 806 3313 TDP_338 Drought 4
## 157 2023.05.06 15.21.13 141049 842 2705 TDP_330 Drought 4
## 158 2023.05.06 15.22.36 136804 643 3233 TDP_271 Drought 4
## 159 2023.05.06 15.23.27 178806 895 3983 TDP_234 Control 4
## 160 2023.05.06 15.24.18 103043 808 3035 TDP_211 Control 4
## 161 2023.05.06 15.25.11 227640 765 3547 TDP_252 Control 4
## 162 2023.05.06 15.26.02 78605 665 4303 TDP_241 Control 4
## 163 2023.05.06 15.26.53 124484 650 2378 TDP_234 Drought 4
## 164 2023.05.06 15.27.45 129353 647 2369 TDP_211 Drought 4
## 165 2023.05.06 15.28.36 241117 867 3653 TDP_252 Drought 4
## 166 2023.05.06 15.29.28 251380 820 4029 TDP_241 Drought 4
## 167 2023.05.06 15.31.21 67153 421 1487 TDP_356 Control 4
## 168 2023.05.06 15.32.36 100003 876 3108 TDP_237 Control 4
## 169 2023.05.06 15.34.44 53382 676 1958 TDP_236 Control 4
## 170 2023.05.06 15.36.13 55770 781 2616 TDP_231 Control 4
## 171 2023.05.06 15.37.04 219116 849 3201 TDP_356 Drought 4
## 172 2023.05.06 15.38.57 32061 726 2390 TDP_237 Drought 4
## 173 2023.05.06 15.39.55 89771 731 3365 TDP_236 Drought 4
## 174 2023.05.06 15.40.53 99906 415 3060 TDP_231 Drought 4
## 175 2023.05.06 15.41.43 441755 1055 4721 TDP_22_c Control 4
## 176 2023.05.06 15.42.33 217031 674 4109 TDP_359 Control 4
## 177 2023.05.06 15.44.39 316885 815 4065 TDP_404 Control 4
## 178 2023.05.06 15.45.29 28096 584 2248 TDP_402 Control 4
## 179 2023.05.06 15.46.20 226463 817 3237 TDP_359_c Control 4
## 180 2023.05.06 15.47.11 305976 1154 3599 TDP_22_c Drought 4
## 181 2023.05.06 15.48.01 225145 700 2713 TDP_359 Drought 4
## 182 2023.05.06 15.48.52 202086 882 3693 TDP_404 Drought 4
## 183 2023.05.06 15.49.43 252464 1252 3483 TDP_402 Drought 4
## 184 2023.05.06 15.50.36 214041 1115 4133 TDP_359_c Drought 4
## 185 2023.05.06 15.51.26 309436 908 3573 TDP_403 Control 4
## 186 2023.05.06 15.53.18 410860 1039 4469 TDP_209 Control 4
## 187 2023.05.06 15.54.13 153702 654 4636 TDP_204 Control 4
## 188 2023.05.06 15.55.09 756556 1334 3756 TDP_403 Drought 4
## 189 2023.05.06 15.56.20 630996 1255 4219 TDP_209 Drought 4
## 190 2023.05.06 15.57.19 92949 740 3973 TDP_204 Drought 4
## 191 2023.05.06 15.58.10 97918 759 2820 TDP_202 Control 4
## 192 2023.05.06 15.59.00 116959 761 3499 TDP_199 Control 4
## 193 2023.05.06 15.59.56 89834 516 2475 TDP_201 Control 4
## 194 2023.05.06 16.00.46 54861 287 1946 TDP_200 Control 4
## 195 2023.05.06 16.02.48 248307 693 3349 TDP_214 Control 4
## 196 2023.05.06 16.03.40 57075 748 1789 TDP_202 Drought 4
## 197 2023.05.06 16.04.51 60925 440 2328 TDP_199 Drought 4
## 198 2023.05.06 16.05.41 87640 727 2792 TDP_201 Drought 4
## 199 2023.05.06 16.08.02 64329 785 2805 TDP_200 Drought 4
## 200 2023.05.06 16.08.58 130266 488 2938 TDP_214 Drought 4
## 201 2023.05.06 16.09.52 156244 699 2649 TDP_218 Control 4
## 202 2023.05.06 16.10.48 365192 1178 4218 TDP_219 Control 4
## 203 2023.05.06 16.11.49 104159 537 4475 TDP_230 Control 4
## 204 2023.05.06 16.12.42 245146 1109 2997 TDP_221 Control 4
## 205 2023.05.06 16.13.33 148442 895 2697 TDP_215 Control 4
## 206 2023.05.06 16.14.26 442155 1105 3583 TDP_218 Drought 4
## 207 2023.05.06 16.15.15 108780 1031 1986 TDP_219 Drought 4
## 208 2023.05.06 16.16.09 25577 699 1923 TDP_230 Drought 4
## 209 2023.05.06 16.16.59 45330 796 2353 TDP_221 Drought 4
## 210 2023.05.06 16.17.51 323855 1022 2793 TDP_215 Drought 4
## 211 2023.05.06 16.18.55 66112 833 2057 TDP_229 Control 4
## 212 2023.05.06 16.20.57 182795 841 3942 TDP_222 Control 4
## 213 2023.05.06 16.23.31 158778 883 4144 TDP_228 Control 4
## 214 2023.05.06 16.24.21 289577 797 3510 TDP_223 Control 4
## 215 2023.05.06 16.26.22 338649 1183 3348 TDP_220 Control 4
## 216 2023.05.06 16.27.23 116222 709 3707 TDP_229 Drought 4
## 217 2023.05.06 16.28.15 180927 625 3410 TDP_222 Drought 4
## 218 2023.05.06 16.29.06 10067 394 1337 TDP_228 Drought 4
## 219 2023.05.06 16.30.04 211541 716 3071 TDP_223 Drought 4
## 220 2023.05.06 16.32.09 5064 509 1227 TDP_220 Drought 4
## 221 2023.05.06 16.32.59 152676 785 3127 TDP_227 Control 4
## 222 2023.05.06 16.33.51 167006 1183 3486 TDP_226 Control 4
## 223 2023.05.06 16.34.43 56044 930 2605 TDP_227 Drought 4
## 224 2023.05.06 16.37.11 19182 240 1177 TDP_226 Drought 4
## 225 2023.05.08 09.51.54 644161 900 4811 TDP_323 Control 6
## 226 2023.05.08 09.53.09 514951 1004 3633 TDP_338 Control 6
## 227 2023.05.08 09.54.01 331584 979 3127 TDP_330 Control 6
## 228 2023.05.08 09.55.13 663326 936 4035 TDP_271 Control 6
## 229 2023.05.08 09.59.07 185254 1018 1863 TDP_323 Drought 6
## 230 2023.05.08 10.00.08 189181 784 3350 TDP_338 Drought 6
## 231 2023.05.08 10.01.27 169278 727 3174 TDP_330 Drought 6
## 232 2023.05.08 10.02.33 130980 607 3049 TDP_271 Drought 6
## 233 2023.05.08 10.03.33 223854 935 4465 TDP_234 Control 6
## 234 2023.05.08 10.04.29 121967 917 3321 TDP_211 Control 6
## 235 2023.05.08 10.05.33 287919 825 3790 TDP_252 Control 6
## 236 2023.05.08 10.06.57 176613 808 4197 TDP_241 Control 6
## 237 2023.05.08 10.08.52 122392 723 3001 TDP_234 Drought 6
## 238 2023.05.08 10.11.14 130605 717 2483 TDP_211 Drought 6
## 239 2023.05.08 10.12.06 274224 791 4109 TDP_252 Drought 6
## 240 2023.05.08 10.12.59 222271 752 4391 TDP_241 Drought 6
## 241 2023.05.08 10.14.01 92693 501 1820 TDP_356 Control 6
## 242 2023.05.08 10.14.59 120601 886 3611 TDP_237 Control 6
## 243 2023.05.08 10.16.20 40677 662 2112 TDP_236 Control 6
## 244 2023.05.08 10.17.31 65897 598 3005 TDP_231 Control 6
## 245 2023.05.08 10.19.15 238840 898 3596 TDP_356 Drought 6
## 246 2023.05.08 10.20.06 35079 861 2365 TDP_237 Drought 6
## 247 2023.05.08 10.21.22 73590 626 3468 TDP_236 Drought 6
## 248 2023.05.08 10.22.14 124774 418 2959 TDP_231 Drought 6
## 249 2023.05.08 10.23.46 545495 1148 4647 TDP_22_c Control 6
## 250 2023.05.08 10.24.43 249600 781 4564 TDP_359 Control 6
## 251 2023.05.08 10.25.39 508863 862 4361 TDP_404 Control 6
## 252 2023.05.08 10.26.33 47286 850 2797 TDP_402 Control 6
## 253 2023.05.08 10.28.11 272620 737 3553 TDP_359_c Control 6
## 254 2023.05.08 10.29.02 375054 1241 3734 TDP_22_c Drought 6
## 255 2023.05.08 10.29.53 197437 711 2922 TDP_359 Drought 6
## 256 2023.05.08 10.31.12 299288 766 3846 TDP_404 Drought 6
## 257 2023.05.08 10.32.03 268068 1201 3514 TDP_402 Drought 6
## 258 2023.05.08 10.32.56 189133 790 4260 TDP_359_c Drought 6
## 259 2023.05.08 10.33.48 428188 951 3927 TDP_403 Control 6
## 260 2023.05.08 10.34.41 477627 1104 4985 TDP_209 Control 6
## 261 2023.05.08 10.36.18 229852 757 4721 TDP_204 Control 6
## 262 2023.05.08 10.37.19 792368 1155 3964 TDP_403 Drought 6
## 263 2023.05.08 10.38.10 642218 1113 4314 TDP_209 Drought 6
## 264 2023.05.08 10.39.02 105371 830 3666 TDP_204 Drought 6
## 265 2023.05.08 10.40.18 107410 804 2990 TDP_202 Control 6
## 266 2023.05.08 10.41.12 165531 860 3896 TDP_199 Control 6
## 267 2023.05.08 10.42.09 126197 465 3309 TDP_201 Control 6
## 268 2023.05.08 10.43.01 50645 158 2952 TDP_200 Control 6
## 269 2023.05.08 10.43.52 307696 954 3548 TDP_214 Control 6
## 270 2023.05.08 10.44.43 38932 761 1964 TDP_202 Drought 6
## 271 2023.05.08 10.45.35 61604 407 2557 TDP_199 Drought 6
## 272 2023.05.08 10.46.32 88143 831 2593 TDP_201 Drought 6
## 273 2023.05.08 10.48.16 45030 614 2800 TDP_200 Drought 6
## 274 2023.05.08 10.49.43 133386 565 3462 TDP_214 Drought 6
## 275 2023.05.08 10.51.35 236776 757 3074 TDP_218 Control 6
## 276 2023.05.08 10.53.54 458163 980 4202 TDP_219 Control 6
## 277 2023.05.08 10.54.51 155344 694 4333 TDP_230 Control 6
## 278 2023.05.08 10.55.44 263006 832 3473 TDP_221 Control 6
## 279 2023.05.08 10.56.35 211863 1119 2697 TDP_215 Control 6
## 280 2023.05.08 10.57.33 511082 959 3822 TDP_218 Drought 6
## 281 2023.05.08 10.58.39 67662 939 2691 TDP_219 Drought 6
## 282 2023.05.08 11.00.23 22810 795 2325 TDP_230 Drought 6
## 283 2023.05.08 11.01.22 77648 797 2772 TDP_221 Drought 6
## 284 2023.05.08 11.02.16 357443 1084 3068 TDP_215 Drought 6
## 285 2023.05.08 11.03.09 149286 786 3426 TDP_229 Control 6
## 286 2023.05.08 11.04.00 167799 925 4303 TDP_222 Control 6
## 287 2023.05.08 11.04.53 188323 875 3833 TDP_228 Control 6
## 288 2023.05.08 11.06.33 289669 833 4186 TDP_223 Control 6
## 289 2023.05.08 11.07.25 404757 1190 3491 TDP_220 Control 6
## 290 2023.05.08 11.08.23 103119 758 3537 TDP_229 Drought 6
## 291 2023.05.08 11.09.18 188672 621 3767 TDP_222 Drought 6
## 292 2023.05.08 11.11.20 20960 457 1508 TDP_228 Drought 6
## 293 2023.05.08 11.12.14 230313 728 3844 TDP_223 Drought 6
## 294 2023.05.08 11.13.07 2763 391 499 TDP_220 Drought 6
## 295 2023.05.08 11.14.29 166526 750 2752 TDP_227 Control 6
## 296 2023.05.08 11.15.21 218603 1284 3797 TDP_226 Control 6
## 297 2023.05.08 11.16.17 90453 892 2619 TDP_227 Drought 6
## 298 2023.05.08 11.17.08 27457 373 1359 TDP_226 Drought 6
## 299 2023.05.10 11.54.19 726362 915 5086 TDP_323 Control 8
## 300 2023.05.10 11.55.58 641854 1016 3730 TDP_338 Control 8
## 301 2023.05.10 11.57.04 415087 979 3452 TDP_330 Control 8
## 302 2023.05.10 11.58.15 714616 975 4321 TDP_271 Control 8
## 303 2023.05.10 12.00.08 92578 984 1780 TDP_323 Drought 8
## 304 2023.05.10 12.01.10 312926 804 3507 TDP_338 Drought 8
## 305 2023.05.10 12.02.25 209205 823 3208 TDP_330 Drought 8
## 306 2023.05.10 12.03.35 159660 705 3154 TDP_271 Drought 8
## 307 2023.05.10 12.05.25 338007 1020 4811 TDP_234 Control 8
## 308 2023.05.10 12.06.24 176702 963 4080 TDP_211 Control 8
## 309 2023.05.10 12.08.04 416482 871 4093 TDP_252 Control 8
## 310 2023.05.10 12.09.00 179701 914 4919 TDP_241 Control 8
## 311 2023.05.10 12.09.56 155539 686 3189 TDP_234 Drought 8
## 312 2023.05.10 12.11.14 160803 732 2606 TDP_211 Drought 8
## 313 2023.05.10 12.12.10 329415 914 3925 TDP_252 Drought 8
## 314 2023.05.10 12.13.07 301065 877 4299 TDP_241 Drought 8
## 315 2023.05.10 12.14.23 88138 541 1811 TDP_356 Control 8
## 316 2023.05.10 12.15.20 189482 899 3894 TDP_237 Control 8
## 317 2023.05.10 12.16.13 59550 671 2213 TDP_236 Control 8
## 318 2023.05.10 12.17.04 95249 762 3638 TDP_231 Control 8
## 319 2023.05.10 12.18.21 327451 950 3387 TDP_356 Drought 8
## 320 2023.05.10 12.19.14 77793 932 3212 TDP_237 Drought 8
## 321 2023.05.10 12.20.06 95705 661 3594 TDP_236 Drought 8
## 322 2023.05.10 12.20.58 123346 443 2967 TDP_231 Drought 8
## 323 2023.05.10 12.22.15 753444 1280 5217 TDP_22_c Control 8
## 324 2023.05.10 12.24.02 258009 730 4720 TDP_359 Control 8
## 325 2023.05.10 12.25.02 661266 882 4420 TDP_404 Control 8
## 326 2023.05.10 12.26.04 113043 1054 2530 TDP_402 Control 8
## 327 2023.05.10 12.27.01 316389 773 3655 TDP_359_c Control 8
## 328 2023.05.10 12.28.38 519487 1228 3977 TDP_22_c Drought 8
## 329 2023.05.10 12.30.04 251776 741 3000 TDP_359 Drought 8
## 330 2023.05.10 12.31.05 283494 870 3881 TDP_404 Drought 8
## 331 2023.05.10 12.33.04 356719 1264 3631 TDP_402 Drought 8
## 332 2023.05.10 12.34.10 215350 841 4254 TDP_359_c Drought 8
## 333 2023.05.10 12.36.06 569609 1004 4754 TDP_403 Control 8
## 334 2023.05.10 12.37.33 748400 1214 5237 TDP_209 Control 8
## 335 2023.05.10 12.38.25 254553 1010 5699 TDP_204 Control 8
## 336 2023.05.10 12.39.16 711078 1258 4063 TDP_403 Drought 8
## 337 2023.05.10 12.40.11 655458 1109 4132 TDP_209 Drought 8
## 338 2023.05.10 12.41.02 106888 972 3882 TDP_204 Drought 8
## 339 2023.05.10 12.41.56 144550 782 3538 TDP_202 Control 8
## 340 2023.05.10 12.42.49 259617 845 4118 TDP_199 Control 8
## 341 2023.05.10 12.43.42 118707 475 3363 TDP_201 Control 8
## 342 2023.05.10 12.44.35 48199 206 2620 TDP_200 Control 8
## 343 2023.05.10 12.45.29 386508 927 3718 TDP_214 Control 8
## 344 2023.05.10 12.47.20 49401 757 1967 TDP_202 Drought 8
## 345 2023.05.10 12.48.23 67656 462 2487 TDP_199 Drought 8
## 346 2023.05.10 12.49.18 67612 764 2805 TDP_201 Drought 8
## 347 2023.05.10 12.50.35 75759 737 3169 TDP_200 Drought 8
## 348 2023.05.10 12.51.26 155528 669 3422 TDP_214 Drought 8
## 349 2023.05.10 12.52.18 302527 805 3144 TDP_218 Control 8
## 350 2023.05.10 12.53.10 653736 1151 4528 TDP_219 Control 8
## 351 2023.05.10 12.54.00 175525 833 4735 TDP_230 Control 8
## 352 2023.05.10 12.54.54 365010 944 3657 TDP_221 Control 8
## 353 2023.05.10 12.55.50 269642 1225 3028 TDP_215 Control 8
## 354 2023.05.10 12.56.40 595358 1104 3978 TDP_218 Drought 8
## 355 2023.05.10 12.57.32 55347 657 3105 TDP_219 Drought 8
## 356 2023.05.10 12.58.23 47878 799 2805 TDP_230 Drought 8
## 357 2023.05.10 12.59.26 49751 901 3114 TDP_221 Drought 8
## 358 2023.05.10 13.00.21 400830 1253 3274 TDP_215 Drought 8
## 359 2023.05.10 13.01.13 212080 896 3349 TDP_229 Control 8
## 360 2023.05.10 13.02.04 264871 983 4752 TDP_222 Control 8
## 361 2023.05.10 13.02.55 231527 857 4427 TDP_228 Control 8
## 362 2023.05.10 13.03.45 424075 899 4298 TDP_223 Control 8
## 363 2023.05.10 13.04.57 622485 1271 4017 TDP_220 Control 8
## 364 2023.05.10 13.05.48 109404 714 3799 TDP_229 Drought 8
## 365 2023.05.10 13.06.39 241640 641 3809 TDP_222 Drought 8
## 366 2023.05.10 13.07.30 16982 579 1875 TDP_228 Drought 8
## 367 2023.05.10 13.08.24 299123 959 3688 TDP_223 Drought 8
## 368 2023.05.10 13.09.18 1905 352 508 TDP_220 Drought 8
## 369 2023.05.10 13.11.42 170973 791 2525 TDP_227 Control 8
## 370 2023.05.10 13.12.50 262092 1233 3791 TDP_226 Control 8
## 371 2023.05.10 13.14.50 91640 967 2645 TDP_227 Drought 8
## 372 2023.05.10 13.19.17 64511 486 1919 TDP_226 Drought 8
## 373 2023.05.12 10.22.02 939827 1011 5321 TDP_323 Control 10
## 374 2023.05.12 10.23.35 680247 1031 4349 TDP_338 Control 10
## 375 2023.05.12 10.24.52 464619 878 3999 TDP_330 Control 10
## 376 2023.05.12 10.26.58 863087 907 4848 TDP_271 Control 10
## 377 2023.05.12 10.28.23 72246 966 1691 TDP_323 Drought 10
## 378 2023.05.12 10.30.12 365026 1010 3289 TDP_338 Drought 10
## 379 2023.05.12 10.31.19 225774 927 3476 TDP_330 Drought 10
## 380 2023.05.12 10.32.54 158970 809 3200 TDP_271 Drought 10
## 381 2023.05.12 10.34.39 570427 1155 5132 TDP_234 Control 10
## 382 2023.05.12 10.36.43 263007 779 3208 TDP_211 Control 10
## 383 2023.05.12 10.37.59 531314 883 4055 TDP_252 Control 10
## 384 2023.05.12 10.39.14 272535 978 5762 TDP_241 Control 10
## 385 2023.05.12 10.40.23 155545 700 3597 TDP_234 Drought 10
## 386 2023.05.12 10.41.41 171385 749 2608 TDP_211 Drought 10
## 387 2023.05.12 10.42.38 325284 809 3507 TDP_252 Drought 10
## 388 2023.05.12 10.43.39 257739 916 4703 TDP_241 Drought 10
## 389 2023.05.12 10.45.57 84560 515 1476 TDP_356 Control 10
## 390 2023.05.12 10.48.02 278295 802 4071 TDP_237 Control 10
## 391 2023.05.12 10.49.15 110205 665 3103 TDP_236 Control 10
## 392 2023.05.12 10.50.25 174920 654 4243 TDP_231 Control 10
## 393 2023.05.12 10.52.00 341568 908 3793 TDP_356 Drought 10
## 394 2023.05.12 10.53.07 104983 934 3653 TDP_237 Drought 10
## 395 2023.05.12 10.54.39 107675 674 3792 TDP_236 Drought 10
## 396 2023.05.12 10.55.49 129228 427 2824 TDP_231 Drought 10
## 397 2023.05.12 10.57.52 880530 1097 4867 TDP_22_c Control 10
## 398 2023.05.12 10.59.22 313204 955 5021 TDP_359 Control 10
## 399 2023.05.12 11.00.41 726525 810 4793 TDP_404 Control 10
## 400 2023.05.12 11.02.14 174717 1008 2835 TDP_402 Control 10
## 401 2023.05.12 11.03.51 339184 869 3612 TDP_359_c Control 10
## 402 2023.05.12 11.05.46 451781 1264 3808 TDP_22_c Drought 10
## 403 2023.05.12 11.06.43 226598 742 3215 TDP_359 Drought 10
## 404 2023.05.12 11.07.43 372731 1008 3916 TDP_404 Drought 10
## 405 2023.05.12 11.08.47 347453 1146 3991 TDP_402 Drought 10
## 406 2023.05.12 11.10.23 238599 770 4217 TDP_359_c Drought 10
## 407 2023.05.12 11.14.30 835140 1270 6005 TDP_209 Control 10
## 408 2023.05.12 11.16.14 387524 810 5306 TDP_204 Control 10
## 409 2023.05.12 11.17.34 745475 1200 4123 TDP_403 Drought 10
## 410 2023.05.12 11.18.42 672661 1130 4341 TDP_209 Drought 10
## 411 2023.05.12 11.20.10 132190 842 3773 TDP_204 Drought 10
## 412 2023.05.12 11.21.41 191750 831 3672 TDP_202 Control 10
## 413 2023.05.12 11.22.55 317040 1076 4147 TDP_199 Control 10
## 414 2023.05.12 11.25.57 179024 552 3487 TDP_201 Control 10
## 415 2023.05.12 11.27.02 28146 185 2165 TDP_200 Control 10
## 416 2023.05.12 11.28.10 541297 774 3811 TDP_214 Control 10
## 417 2023.05.12 11.30.35 60242 759 1975 TDP_202 Drought 10
## 418 2023.05.12 11.31.35 87708 462 2561 TDP_199 Drought 10
## 419 2023.05.12 11.32.56 100051 925 2616 TDP_201 Drought 10
## 420 2023.05.12 11.34.00 74772 713 3538 TDP_200 Drought 10
## 421 2023.05.12 11.35.21 170507 666 3658 TDP_214 Drought 10
## 422 2023.05.12 11.37.21 423377 838 3063 TDP_218 Control 10
## 423 2023.05.12 11.38.24 886607 1079 4652 TDP_219 Control 10
## 424 2023.05.12 11.40.08 263065 948 4840 TDP_230 Control 10
## 425 2023.05.12 11.41.05 506883 971 3998 TDP_221 Control 10
## 426 2023.05.12 11.42.23 424105 1212 3479 TDP_215 Control 10
## 427 2023.05.12 11.43.19 656352 871 3888 TDP_218 Drought 10
## 428 2023.05.12 11.44.30 69658 612 3124 TDP_219 Drought 10
## 429 2023.05.12 11.46.32 55061 704 2771 TDP_230 Drought 10
## 430 2023.05.12 11.47.37 96033 980 3332 TDP_221 Drought 10
## 431 2023.05.12 11.49.04 506221 1260 3576 TDP_215 Drought 10
## 432 2023.05.12 11.50.26 368765 751 3585 TDP_229 Control 10
## 433 2023.05.12 11.52.06 498977 970 5518 TDP_222 Control 10
## 434 2023.05.12 11.53.07 436360 868 4712 TDP_228 Control 10
## 435 2023.05.12 11.54.14 542031 682 4560 TDP_223 Control 10
## 436 2023.05.12 11.55.13 813265 1226 4226 TDP_220 Control 10
## 437 2023.05.12 11.57.23 119124 805 3713 TDP_229 Drought 10
## 438 2023.05.12 11.58.47 226413 736 3768 TDP_222 Drought 10
## 439 2023.05.12 12.00.18 25906 458 2611 TDP_228 Drought 10
## 440 2023.05.12 12.01.38 313908 822 3961 TDP_223 Drought 10
## 441 2023.05.12 12.04.28 699 303 435 TDP_220 Drought 10
## 442 2023.05.12 12.05.26 155374 823 2247 TDP_227 Control 10
## 443 2023.05.12 12.06.29 296808 1283 4218 TDP_226 Control 10
## 444 2023.05.12 12.07.39 82428 855 2240 TDP_227 Drought 10
## 445 2023.05.12 12.08.45 58878 263 2100 TDP_226 Drought 10
## 446 2023.05.12 13.35.53 773014 1257 5616 TDP_403 Control 10
## 447 2023.05.14 14.40.07 1050533 914 4981 TDP_323 Control 12
## 448 2023.05.14 14.41.22 678016 1033 4021 TDP_338 Control 12
## 449 2023.05.14 14.42.12 566511 1005 4127 TDP_330 Control 12
## 450 2023.05.14 14.43.17 926247 1072 4508 TDP_271 Control 12
## 451 2023.05.14 14.44.08 55999 922 1777 TDP_323 Drought 12
## 452 2023.05.14 14.44.59 370738 889 3364 TDP_338 Drought 12
## 453 2023.05.14 14.45.52 299859 854 3733 TDP_330 Drought 12
## 454 2023.05.14 14.46.52 204224 691 3260 TDP_271 Drought 12
## 455 2023.05.14 14.47.42 703283 1089 5188 TDP_234 Control 12
## 456 2023.05.14 14.50.43 290379 865 3616 TDP_211 Control 12
## 457 2023.05.14 14.51.35 729386 983 4201 TDP_252 Control 12
## 458 2023.05.14 14.52.43 397022 1068 5400 TDP_241 Control 12
## 459 2023.05.14 14.54.03 220228 762 3563 TDP_234 Drought 12
## 460 2023.05.14 14.54.55 170884 696 2592 TDP_211 Drought 12
## 461 2023.05.14 14.55.45 428622 994 3294 TDP_252 Drought 12
## 462 2023.05.14 14.56.44 390560 940 4156 TDP_241 Drought 12
## 463 2023.05.14 14.57.34 73409 510 1303 TDP_356 Control 12
## 464 2023.05.14 14.58.24 370907 880 4014 TDP_237 Control 12
## 465 2023.05.14 14.59.15 166713 809 3607 TDP_236 Control 12
## 466 2023.05.14 15.00.04 209981 712 4511 TDP_231 Control 12
## 467 2023.05.14 15.00.54 436751 919 3502 TDP_356 Drought 12
## 468 2023.05.14 15.01.44 106223 929 3591 TDP_237 Drought 12
## 469 2023.05.14 15.02.33 197268 684 3487 TDP_236 Drought 12
## 470 2023.05.14 15.03.21 123109 563 2393 TDP_231 Drought 12
## 471 2023.05.14 15.04.47 782942 1035 5224 TDP_22_c Control 12
## 472 2023.05.14 15.05.45 572538 966 4746 TDP_359 Control 12
## 473 2023.05.14 15.06.34 800914 968 4982 TDP_404 Control 12
## 474 2023.05.14 15.07.37 249496 1092 3424 TDP_402 Control 12
## 475 2023.05.14 15.08.26 384211 990 3621 TDP_359_c Control 12
## 476 2023.05.14 15.09.15 594559 1246 3674 TDP_22_c Drought 12
## 477 2023.05.14 15.10.22 308150 761 2702 TDP_359 Drought 12
## 478 2023.05.14 15.11.27 423546 756 3716 TDP_404 Drought 12
## 479 2023.05.14 15.12.18 444791 1211 3841 TDP_402 Drought 12
## 480 2023.05.14 15.13.08 295234 799 3857 TDP_359_c Drought 12
## 481 2023.05.14 15.14.05 896572 1067 5248 TDP_403 Control 12
## 482 2023.05.14 15.15.57 1054957 1129 5612 TDP_209 Control 12
## 483 2023.05.14 15.16.47 615163 892 6136 TDP_204 Control 12
## 484 2023.05.14 15.17.39 812088 1293 3909 TDP_403 Drought 12
## 485 2023.05.14 15.18.59 718679 1045 3941 TDP_209 Drought 12
## 486 2023.05.14 15.19.48 195687 929 3903 TDP_204 Drought 12
## 487 2023.05.14 15.21.20 203719 805 3677 TDP_202 Control 12
## 488 2023.05.14 17.38.34 446235 822 4415 TDP_199 Control 12
## 489 2023.05.14 17.39.32 233608 862 4049 TDP_201 Control 12
## 490 2023.05.14 17.40.22 2226 82 1013 TDP_200 Control 12
## 491 2023.05.14 17.41.15 701199 889 3875 TDP_214 Control 12
## 492 2023.05.14 17.42.04 99473 900 2135 TDP_202 Drought 12
## 493 2023.05.14 17.42.54 126239 495 2479 TDP_199 Drought 12
## 494 2023.05.14 17.43.47 187431 944 2904 TDP_201 Drought 12
## 495 2023.05.14 17.44.37 133137 806 3885 TDP_200 Drought 12
## 496 2023.05.14 17.45.52 276098 845 4248 TDP_214 Drought 12
## 497 2023.05.14 17.47.08 600035 1015 3194 TDP_218 Control 12
## 498 2023.05.14 17.47.58 1157547 1150 4952 TDP_219 Control 12
## 499 2023.05.14 17.48.48 553278 940 4928 TDP_230 Control 12
## 500 2023.05.14 17.49.42 690748 1209 3891 TDP_221 Control 12
## 501 2023.05.14 17.50.31 586985 1121 4108 TDP_215 Control 12
## 502 2023.05.14 17.51.20 790314 910 3524 TDP_218 Drought 12
## 503 2023.05.14 17.52.11 62797 597 3286 TDP_219 Drought 12
## 504 2023.05.14 17.53.02 128264 686 3224 TDP_230 Drought 12
## 505 2023.05.14 17.53.51 189328 869 3451 TDP_221 Drought 12
## 506 2023.05.14 17.54.43 616791 1249 3163 TDP_215 Drought 12
## 507 2023.05.14 17.55.40 643483 857 4000 TDP_229 Control 12
## 508 2023.05.14 17.56.32 724118 1013 5504 TDP_222 Control 12
## 509 2023.05.14 17.57.22 710048 1038 4238 TDP_228 Control 12
## 510 2023.05.14 17.58.51 759311 756 4105 TDP_223 Control 12
## 511 2023.05.14 18.01.36 962675 1312 4484 TDP_220 Control 12
## 512 2023.05.14 18.02.26 207599 886 3684 TDP_229 Drought 12
## 513 2023.05.14 18.03.16 415891 765 3937 TDP_222 Drought 12
## 514 2023.05.14 18.04.09 61723 699 2842 TDP_228 Drought 12
## 515 2023.05.14 18.05.08 442885 1083 3092 TDP_223 Drought 12
## 516 2023.05.14 18.06.03 84 8 31 TDP_220 Drought 12
## 517 2023.05.14 18.07.03 132460 721 2586 TDP_227 Control 12
## 518 2023.05.14 18.08.10 494869 1104 4604 TDP_226 Control 12
## 519 2023.05.14 18.09.00 88787 891 1821 TDP_227 Drought 12
## 520 2023.05.14 18.10.11 56125 242 2290 TDP_226 Drought 12
## 521 2023.05.16 11.02.55 1064635 954 5032 TDP_323 Control 14
## 522 2023.05.16 11.03.46 748138 1017 4021 TDP_338 Control 14
## 523 2023.05.16 11.06.10 644549 1010 4230 TDP_330 Control 14
## 524 2023.05.16 11.07.31 1012883 895 4506 TDP_271 Control 14
## 525 2023.05.16 11.08.59 50543 920 1600 TDP_323 Drought 14
## 526 2023.05.16 11.16.40 369835 961 3350 TDP_338 Drought 14
## 527 2023.05.16 11.18.09 302372 865 3803 TDP_330 Drought 14
## 528 2023.05.16 11.22.31 172896 716 3235 TDP_271 Drought 14
## 529 2023.05.16 11.23.59 824769 1276 5839 TDP_234 Control 14
## 530 2023.05.16 11.29.35 364405 777 3729 TDP_211 Control 14
## 531 2023.05.16 11.31.03 817454 1041 4139 TDP_252 Control 14
## 532 2023.05.16 11.32.09 501076 1097 6540 TDP_241 Control 14
## 533 2023.05.16 11.33.06 216806 645 4056 TDP_234 Drought 14
## 534 2023.05.16 11.34.28 149215 707 2342 TDP_211 Drought 14
## 535 2023.05.16 11.35.18 467843 874 3442 TDP_252 Drought 14
## 536 2023.05.16 11.36.39 471440 877 3495 TDP_252 Drought 14
## 537 2023.05.16 11.40.20 421651 905 4561 TDP_241 Drought 14
## 538 2023.05.16 11.42.14 67020 518 1407 TDP_356 Control 14
## 539 2023.05.16 11.43.33 400264 900 4503 TDP_237 Control 14
## 540 2023.05.16 11.44.26 231681 790 3724 TDP_236 Control 14
## 541 2023.05.16 11.45.30 257533 787 5070 TDP_231 Control 14
## 542 2023.05.16 11.46.28 397045 912 3831 TDP_356 Drought 14
## 543 2023.05.16 11.53.59 143656 877 4057 TDP_237 Drought 14
## 544 2023.05.16 11.55.17 165087 730 3730 TDP_236 Drought 14
## 545 2023.05.16 11.56.11 106173 554 2031 TDP_231 Drought 14
## 546 2023.05.16 11.57.02 877910 1051 5162 TDP_22_c Control 14
## 547 2023.05.16 11.58.11 472211 806 5227 TDP_359 Control 14
## 548 2023.05.16 12.01.22 885991 833 5168 TDP_404 Control 14
## 549 2023.05.16 12.02.32 349277 1233 3729 TDP_402 Control 14
## 550 2023.05.16 12.03.33 435987 850 3724 TDP_359_c Control 14
## 551 2023.05.16 12.04.26 508721 1277 3678 TDP_22_c Drought 14
## 552 2023.05.16 12.05.24 306514 796 2996 TDP_359 Drought 14
## 553 2023.05.16 12.07.06 369787 712 3645 TDP_404 Drought 14
## 554 2023.05.16 12.07.58 390828 1094 3909 TDP_402 Drought 14
## 555 2023.05.16 12.08.48 313297 809 3894 TDP_359_c Drought 14
## 556 2023.05.16 12.10.05 1037347 1189 5514 TDP_403 Control 14
## 557 2023.05.16 12.11.00 1210270 1184 6082 TDP_209 Control 14
## 558 2023.05.16 12.11.51 559866 992 5977 TDP_204 Control 14
## 559 2023.05.16 12.12.45 873499 1316 4318 TDP_403 Drought 14
## 560 2023.05.16 12.14.42 753845 1075 4314 TDP_209 Drought 14
## 561 2023.05.16 12.15.46 200052 895 4000 TDP_204 Drought 14
## 562 2023.05.16 12.16.37 233618 788 3658 TDP_202 Control 14
## 563 2023.05.16 12.17.33 424368 810 4479 TDP_199 Control 14
## 564 2023.05.16 12.18.25 277340 640 3712 TDP_201 Control 14
## 565 2023.05.16 12.19.22 810 42 392 TDP_200 Control 14
## 566 2023.05.16 12.20.13 638675 917 3838 TDP_214 Control 14
## 567 2023.05.16 12.21.13 84231 806 2190 TDP_202 Drought 14
## 568 2023.05.16 12.23.48 111328 542 2580 TDP_199 Drought 14
## 569 2023.05.16 12.25.45 181643 1000 2839 TDP_201 Drought 14
## 570 2023.05.16 12.27.10 100304 767 3684 TDP_200 Drought 14
## 571 2023.05.16 12.28.02 248777 678 3317 TDP_214 Drought 14
## 572 2023.05.16 12.29.02 648146 943 3218 TDP_218 Control 14
## 573 2023.05.16 12.29.57 1286867 1250 5010 TDP_219 Control 14
## 574 2023.05.16 12.31.13 508049 887 4773 TDP_230 Control 14
## 575 2023.05.16 12.32.04 724869 973 4082 TDP_221 Control 14
## 576 2023.05.16 12.32.56 678240 1219 4764 TDP_215 Control 14
## 577 2023.05.16 12.33.52 830551 939 4515 TDP_218 Drought 14
## 578 2023.05.16 12.34.43 94644 608 3236 TDP_219 Drought 14
## 579 2023.05.16 12.36.06 100032 699 3242 TDP_230 Drought 14
## 580 2023.05.16 12.38.23 147634 877 3206 TDP_221 Drought 14
## 581 2023.05.16 12.39.15 605554 1147 3874 TDP_215 Drought 14
## 582 2023.05.16 12.40.07 516062 606 4347 TDP_229 Control 14
## 583 2023.05.16 12.41.24 885997 999 5465 TDP_222 Control 14
## 584 2023.05.16 12.43.49 672140 1073 5233 TDP_228 Control 14
## 585 2023.05.16 12.44.50 687934 843 4384 TDP_223 Control 14
## 586 2023.05.16 12.48.03 1039387 1112 4622 TDP_220 Control 14
## 587 2023.05.16 12.49.02 215822 775 3634 TDP_229 Drought 14
## 588 2023.05.16 12.50.18 353620 671 3907 TDP_222 Drought 14
## 589 2023.05.16 12.51.14 42921 964 3051 TDP_228 Drought 14
## 590 2023.05.16 12.53.20 419166 870 4156 TDP_223 Drought 14
## 591 2023.05.16 12.55.03 124991 708 2582 TDP_227 Control 14
## 592 2023.05.16 12.55.56 428046 1104 4660 TDP_226 Control 14
## 593 2023.05.16 12.56.48 68834 842 1882 TDP_227 Drought 14
## 594 2023.05.16 12.57.41 47863 220 2338 TDP_226 Drought 14plot(data_sum$Area.sum ~ data_sum$days)
# write.csv(data_sum, "data_sum.csv")data_sum$Ex <- 5Assign levels
Drop rows with missing values
cumm_data_clean <- data_sum %>% drop_na()
cumm_data_clean$Treatment <- factor(cumm_data_clean$Treatment, levels = c("Control","Drought"))We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
cumm_data_clean$sid <- paste0(cumm_data_clean$Accession, "_", substr(cumm_data_clean$Treatment, 1, 1))Ex5_Write cumm_data_clean into new file as final_Ex5
write.csv(cumm_data_clean, "final_Ex5.csv") ######################### Ex6 ##########################Loading all days processed images from Ex6.
d0 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex6_Results\\Results_Ex6_053023.csv",'show_col_types' = 'FALSE')
d2 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex6_Results\\Results_Ex6_060123.csv",'show_col_types' = 'FALSE')
d4 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex6_Results\\Results_Ex6_060323.csv",'show_col_types' = 'FALSE')
d6 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex6_Results\\Results_Ex6_060523.csv",'show_col_types' = 'FALSE')
d8 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex6_Results\\Results_Ex6_060723.csv", 'show_col_types' = 'FALSE')
d10 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex6_Results\\Results_Ex6_060923.csv",'show_col_types' = 'FALSE')
d12 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex6_Results\\Results_Ex6_061123.csv", 'show_col_types' = 'FALSE')
d14 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex6_Results\\Results_Ex6_061323.csv",'show_col_types' = 'FALSE')Bind all days together
comb <- rbind(d0, d2, d4, d6, d8, d10, d12,d14)Load potnames6 which has pot number,pot tag, accession names and treatment.
potnames6 <- read_xlsx("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex6_Results\\potnames6.xlsx")Combining two sheets by matching potnumber and pot tag
h <- inner_join(comb,potnames6,by=c("Pot_no"="PotTag"))
h## # A tibble: 3,983 x 8
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
## 1 2023.05.30-13.38.~ 10213 665 286 1 1 TDP_265 Control
## 2 2023.05.30-13.38.~ 13298 641 302 1 1 TDP_265 Control
## 3 2023.05.30-13.38.~ 8811 627 299 1 1 TDP_265 Control
## 4 2023.05.30-13.38.~ 8008 628 313 1 1 TDP_265 Control
## 5 2023.05.30-13.38.~ 13116 635 329 1 1 TDP_265 Control
## 6 2023.05.30-13.38.~ 10569 655 299 1 1 TDP_265 Control
## 7 2023.05.30-13.38.~ 6596 672 255 1 1 TDP_265 Control
## 8 2023.05.30-13.41.~ 1845 182 58 2 2 TDP_263 Control
## 9 2023.05.30-13.41.~ 2535 183 68 2 2 TDP_263 Control
## 10 2023.05.30-13.41.~ 1713 202 62 2 2 TDP_263 Control
## # i 3,973 more rows##### Split the date and time and isolate both DATE and TIMESTAMP
h <- h %>%
mutate(date = str_extract(Image_name, "\\d{4}\\.\\d{2}\\.\\d{2}"),
timestamp = str_extract(Image_name, "\\d{2}\\.\\d{2}\\.\\d{2}(?=\\.)"))Calculate cumulative area from 7 different angles AND maximum width and height
Subset for one plant
today <- subset(h, h$date == unique(h$date)[1])
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[1])
one_plant## # A tibble: 7 x 10
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment date
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <chr>
## 1 2023.05.30-1~ 10213 665 286 1 1 TDP_265 Control 2023~
## 2 2023.05.30-1~ 13298 641 302 1 1 TDP_265 Control 2023~
## 3 2023.05.30-1~ 8811 627 299 1 1 TDP_265 Control 2023~
## 4 2023.05.30-1~ 8008 628 313 1 1 TDP_265 Control 2023~
## 5 2023.05.30-1~ 13116 635 329 1 1 TDP_265 Control 2023~
## 6 2023.05.30-1~ 10569 655 299 1 1 TDP_265 Control 2023~
## 7 2023.05.30-1~ 6596 672 255 1 1 TDP_265 Control 2023~
## # i 1 more variable: timestamp <chr>AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
sum(one_plant$Area)## [1] 70611max(one_plant$Width)## [1] 329max(one_plant$Height)## [1] 672Adding measurement to an empty table
names <- c("DATE", "TIME", "Area.sum", "Height.max", "Width.max")
data_sum <- data.frame()
for (k in names) data_sum[[k]] <- as.character()
data_sum[1,1] <- one_plant$date[1]
data_sum[1,2] <- one_plant$timestamp[1]
data_sum[1,3] <- sum(one_plant$Area)
data_sum[1,4] <- max(one_plant$Height)
data_sum[1,5] <- sum(one_plant$Width)
data_sum[1, c("Accession", "Treatment")] <- h[1, c("Accession", "Treatment")]
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment
## 1 2023.05.30 13.38.38 70611 672 2083 TDP_265 Controlcount <- 1
for(d in 1:length(unique(h$date))){
today <- subset(h, h$date == unique(h$date)[d])
for(t in 1:length(unique(today$timestamp))){
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[t])
if (nrow(one_plant) > 0) {
data_sum[count,1] <- one_plant$date[1]
data_sum[count,2] <- one_plant$timestamp[1]
data_sum[count,3] <- sum(one_plant$Area)
data_sum[count,4] <- max(one_plant$Height)
data_sum[count,5] <- sum(one_plant$Width)
data_sum[count, "Treatment"] <- one_plant$Treatment[1]
data_sum[count, "Accession"] <- one_plant$Accession[1]
count <- count + 1
}
}
}Assign values to “days” column based on specific dates
data_sum$days[data_sum$DATE == "2023.05.30"] <- 0
data_sum$days[data_sum$DATE == "2023.06.01"] <- 2
data_sum$days[data_sum$DATE == "2023.06.03"] <- 4
data_sum$days[data_sum$DATE == "2023.06.05"] <- 6
data_sum$days[data_sum$DATE == "2023.06.07"] <- 8
data_sum$days[data_sum$DATE == "2023.06.09"] <- 10
data_sum$days[data_sum$DATE == "2023.06.11"] <- 12
data_sum$days[data_sum$DATE == "2023.06.13"] <- 14Adding
dim(h)[1] / dim(data_sum)[1]## [1] 7Plot Area.sum and Date
data_sum$Area.sum <- as.numeric(as.character(data_sum$Area.sum))
min(data_sum$Area.sum)## [1] 0unique(data_sum$days)## [1] 0 2 4 6 8 10 12 14# data_sum$DATE <- gsub("2023.05.", "", data_sum$DATE)
data_sum$days <- as.numeric(as.character(data_sum$days))
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment days
## 1 2023.05.30 13.38.38 70611 672 2083 TDP_265 Control 0
## 2 2023.05.30 13.41.28 12257 203 407 TDP_263 Control 0
## 3 2023.05.30 13.42.36 112538 849 2944 TDP_269 Control 0
## 4 2023.05.30 13.43.28 50237 575 2019 TDP_266 Control 0
## 5 2023.05.30 13.44.19 198009 714 2352 TDP_262 Control 0
## 6 2023.05.30 13.45.16 75736 706 3747 TDP_265 Drought 0
## 7 2023.05.30 13.46.08 134966 798 4219 TDP_263 Drought 0
## 8 2023.05.30 13.47.01 179170 729 3415 TDP_269 Drought 0
## 9 2023.05.30 13.47.53 58150 656 2591 TDP_266 Drought 0
## 10 2023.05.30 13.48.44 209570 983 2228 TDP_262 Drought 0
## 11 2023.05.30 13.49.42 111922 1014 4015 TDP_273 Control 0
## 12 2023.05.30 13.50.32 119030 776 2367 TDP_264 Control 0
## 13 2023.05.30 13.52.02 50124 901 1991 TDP_281 Control 0
## 14 2023.05.30 13.53.47 95417 726 2771 TDP_259 Control 0
## 15 2023.05.30 13.54.39 129434 701 2529 TDP_267 Control 0
## 16 2023.05.30 13.55.52 62809 864 2373 TDP_273 Drought 0
## 17 2023.05.30 13.57.00 92348 772 2910 TDP_264 Drought 0
## 18 2023.05.30 13.57.50 56887 423 1216 TDP_281 Drought 0
## 19 2023.05.30 13.58.40 99490 613 2875 TDP_259 Drought 0
## 20 2023.05.30 14.00.08 145600 765 1678 TDP_267 Drought 0
## 21 2023.05.30 14.00.58 10455 566 1308 TDP_240 Control 0
## 22 2023.05.30 14.01.49 11401 843 2211 TDP_245 Control 0
## 23 2023.05.30 14.02.40 266833 666 3333 TDP_248 Control 0
## 24 2023.05.30 14.03.34 38411 483 2216 TDP_240 Drought 0
## 25 2023.05.30 14.04.23 21233 560 2001 TDP_245 Drought 0
## 26 2023.05.30 14.05.14 248888 631 2926 TDP_248 Drought 0
## 27 2023.05.30 14.06.04 63972 1070 2247 TDP_258 Control 0
## 28 2023.05.30 14.06.56 27385 813 2393 TDP_242 Control 0
## 29 2023.05.30 14.07.47 22831 406 1031 TDP_239 Control 0
## 30 2023.05.30 14.08.37 80892 664 3297 TDP_258 Drought 0
## 31 2023.05.30 14.09.30 6387 332 2122 TDP_242 Drought 0
## 32 2023.05.30 14.10.21 37553 417 1751 TDP_239 Drought 0
## 33 2023.05.30 14.11.12 23849 554 2540 TDP_238 Control 0
## 34 2023.05.30 14.12.02 38874 635 1708 TDP_244 Control 0
## 35 2023.05.30 14.12.53 374578 886 3766 TDP_288 Control 0
## 36 2023.05.30 14.13.44 284070 1061 3565 TDP_290 Control 0
## 37 2023.05.30 14.15.03 208954 1234 2524 TDP_22_c Control 0
## 38 2023.05.30 14.15.57 42439 635 2404 TDP_238 Drought 0
## 39 2023.05.30 14.16.47 140784 576 2616 TDP_244 Drought 0
## 40 2023.05.30 14.17.38 410129 1033 4435 TDP_288 Drought 0
## 41 2023.05.30 14.18.28 224318 1054 3554 TDP_290 Drought 0
## 42 2023.05.30 14.19.20 130759 979 2720 TDP_22_c Drought 0
## 43 2023.05.30 14.20.09 14424 73 993 TDP_296 Control 0
## 44 2023.05.30 14.21.06 311789 975 3282 TDP_294 Control 0
## 45 2023.05.30 14.21.57 42058 1049 2544 TDP_276 Control 0
## 46 2023.05.30 14.22.47 45069 1021 1649 TDP_296 Drought 0
## 47 2023.05.30 14.23.38 157497 1071 2556 TDP_294 Drought 0
## 48 2023.05.30 14.24.28 85329 914 3623 TDP_276 Drought 0
## 49 2023.05.30 14.25.19 22871 130 1287 TDP_293 Control 0
## 50 2023.05.30 14.26.08 77077 1109 1984 TDP_279 Control 0
## 51 2023.05.30 14.27.00 247238 664 4028 TDP_299 Control 0
## 52 2023.05.30 14.27.55 69328 632 1002 TDP_274 Control 0
## 53 2023.05.30 14.28.51 12539 585 1012 TDP_293 Drought 0
## 54 2023.05.30 14.29.47 196894 1013 2886 TDP_279 Drought 0
## 55 2023.05.30 14.31.22 56118 303 1282 TDP_299 Drought 0
## 56 2023.05.30 14.32.32 62898 820 1899 TDP_274 Drought 0
## 57 2023.05.30 14.33.33 160122 653 2972 TDP_272 Control 0
## 58 2023.05.30 14.34.24 305213 1077 3870 TDP_275 Control 0
## 59 2023.05.30 14.35.25 908 114 63 TDP_278 Control 0
## 60 2023.05.30 14.36.15 94313 973 2538 TDP_295 Control 0
## 61 2023.05.30 14.37.06 145996 1007 1667 TDP_285 Control 0
## 62 2023.05.30 14.38.04 145 24 55 TDP_272 Drought 0
## 63 2023.05.30 14.38.56 57464 930 2237 TDP_275 Drought 0
## 64 2023.05.30 14.39.45 34095 434 1341 TDP_278 Drought 0
## 65 2023.05.30 14.40.35 116335 462 2436 TDP_295 Drought 0
## 66 2023.05.30 14.42.16 93330 909 1782 TDP_284 Control 0
## 67 2023.05.30 14.43.21 49648 637 2565 TDP_359_c Control 0
## 68 2023.05.30 14.44.12 32069 727 2452 TDP_243 Control 0
## 69 2023.05.30 14.45.02 81883 575 2342 TDP_284 Drought 0
## 70 2023.05.30 14.46.17 94067 616 2839 TDP_359_c Drought 0
## 71 2023.05.30 14.47.07 45244 498 1918 TDP_243 Drought 0
## 72 2023.06.01 10.32.52 99773 594 2531 TDP_265 Control 2
## 73 2023.06.01 10.34.12 15909 354 641 TDP_263 Control 2
## 74 2023.06.01 10.35.10 136567 819 2957 TDP_269 Control 2
## 75 2023.06.01 10.36.08 60966 677 2101 TDP_266 Control 2
## 76 2023.06.01 10.37.01 185857 723 2868 TDP_262 Control 2
## 77 2023.06.01 10.38.05 102827 812 3878 TDP_265 Drought 2
## 78 2023.06.01 10.39.01 148720 821 4344 TDP_263 Drought 2
## 79 2023.06.01 10.39.56 167989 774 3670 TDP_269 Drought 2
## 80 2023.06.01 10.40.49 86664 638 2672 TDP_266 Drought 2
## 81 2023.06.01 10.41.43 206993 900 2601 TDP_262 Drought 2
## 82 2023.06.01 10.43.11 113000 993 3428 TDP_273 Control 2
## 83 2023.06.01 10.44.06 138837 934 2710 TDP_264 Control 2
## 84 2023.06.01 10.45.04 78454 921 2455 TDP_281 Control 2
## 85 2023.06.01 10.46.13 107813 843 2896 TDP_259 Control 2
## 86 2023.06.01 10.47.05 122146 665 2413 TDP_267 Control 2
## 87 2023.06.01 10.48.00 99182 998 2792 TDP_273 Drought 2
## 88 2023.06.01 10.49.38 85451 755 2931 TDP_264 Drought 2
## 89 2023.06.01 10.50.33 61956 480 1357 TDP_281 Drought 2
## 90 2023.06.01 10.51.33 100659 574 2657 TDP_259 Drought 2
## 91 2023.06.01 10.52.25 109135 763 2571 TDP_267 Drought 2
## 92 2023.06.01 10.53.32 17627 637 1683 TDP_240 Control 2
## 93 2023.06.01 10.54.28 19097 548 2614 TDP_245 Control 2
## 94 2023.06.01 10.55.22 351816 730 4082 TDP_248 Control 2
## 95 2023.06.01 10.56.21 32386 614 2435 TDP_240 Drought 2
## 96 2023.06.01 10.58.07 36430 788 2337 TDP_245 Drought 2
## 97 2023.06.01 11.01.31 379178 683 4150 TDP_248 Drought 2
## 98 2023.06.01 11.02.42 114151 1051 2830 TDP_258 Control 2
## 99 2023.06.01 11.03.35 25549 714 2751 TDP_242 Control 2
## 100 2023.06.01 11.04.46 17738 394 1345 TDP_239 Control 2
## 101 2023.06.01 11.06.15 80113 849 2845 TDP_258 Drought 2
## 102 2023.06.01 11.08.09 14723 360 2764 TDP_242 Drought 2
## 103 2023.06.01 11.09.28 66564 504 2177 TDP_239 Drought 2
## 104 2023.06.01 11.10.27 46420 606 2692 TDP_238 Control 2
## 105 2023.06.01 11.11.28 67194 802 2080 TDP_244 Control 2
## 106 2023.06.01 11.12.25 387070 966 4642 TDP_288 Control 2
## 107 2023.06.01 11.13.24 317298 1225 4066 TDP_290 Control 2
## 108 2023.06.01 11.14.32 256159 1270 3172 TDP_22_c Control 2
## 109 2023.06.01 11.16.15 41730 793 2487 TDP_238 Drought 2
## 110 2023.06.01 11.17.16 137425 711 3408 TDP_244 Drought 2
## 111 2023.06.01 11.18.38 441022 1071 4689 TDP_288 Drought 2
## 112 2023.06.01 11.19.45 280735 1209 4249 TDP_290 Drought 2
## 113 2023.06.01 11.21.22 175209 1002 3492 TDP_22_c Drought 2
## 114 2023.06.01 11.22.18 12912 139 1031 TDP_296 Control 2
## 115 2023.06.01 11.23.11 389969 1123 3841 TDP_294 Control 2
## 116 2023.06.01 11.24.05 103676 1022 2837 TDP_276 Control 2
## 117 2023.06.01 11.25.01 66371 1084 1601 TDP_296 Drought 2
## 118 2023.06.01 11.25.56 191734 1099 2758 TDP_294 Drought 2
## 119 2023.06.01 11.27.55 101153 1085 3331 TDP_276 Drought 2
## 120 2023.06.01 11.28.54 33690 319 1494 TDP_293 Control 2
## 121 2023.06.01 11.30.36 150277 1273 2658 TDP_279 Control 2
## 122 2023.06.01 11.31.29 212557 630 4291 TDP_299 Control 2
## 123 2023.06.01 11.32.20 73170 679 1424 TDP_274 Control 2
## 124 2023.06.01 11.33.16 15005 554 1268 TDP_293 Drought 2
## 125 2023.06.01 11.34.14 269782 1082 3608 TDP_279 Drought 2
## 126 2023.06.01 11.36.30 68414 397 1723 TDP_299 Drought 2
## 127 2023.06.01 11.38.28 90016 851 2577 TDP_274 Drought 2
## 128 2023.06.01 11.39.24 156599 798 3164 TDP_272 Control 2
## 129 2023.06.01 11.40.17 344816 1077 4330 TDP_275 Control 2
## 130 2023.06.01 11.41.07 2101 170 293 TDP_278 Control 2
## 131 2023.06.01 11.42.07 121239 1137 3252 TDP_295 Control 2
## 132 2023.06.01 11.42.59 141132 1122 3056 TDP_285 Control 2
## 133 2023.06.01 11.43.52 0 1067 4298 TDP_272 Drought 2
## 134 2023.06.01 11.44.44 70206 1002 2118 TDP_275 Drought 2
## 135 2023.06.01 11.45.35 38898 490 1256 TDP_278 Drought 2
## 136 2023.06.01 11.46.42 113583 526 2459 TDP_295 Drought 2
## 137 2023.06.01 11.48.57 147604 1005 2284 TDP_284 Control 2
## 138 2023.06.01 11.50.10 63606 576 2509 TDP_359_c Control 2
## 139 2023.06.01 11.51.11 54940 670 3070 TDP_243 Control 2
## 140 2023.06.01 11.54.32 114217 685 2578 TDP_284 Drought 2
## 141 2023.06.01 11.55.23 103780 611 2877 TDP_359_c Drought 2
## 142 2023.06.01 11.56.15 50331 450 2740 TDP_243 Drought 2
## 143 2023.06.03 12.04.41 138049 906 2703 TDP_265 Control 4
## 144 2023.06.03 12.09.31 24175 433 855 TDP_263 Control 4
## 145 2023.06.03 12.13.51 166681 801 3618 TDP_269 Control 4
## 146 2023.06.03 12.15.20 67474 865 2270 TDP_266 Control 4
## 147 2023.06.03 12.16.35 229944 872 2914 TDP_262 Control 4
## 148 2023.06.03 12.17.53 130727 786 3931 TDP_265 Drought 4
## 149 2023.06.03 12.18.43 168236 890 4323 TDP_263 Drought 4
## 150 2023.06.03 12.19.35 219387 715 3857 TDP_269 Drought 4
## 151 2023.06.03 12.20.24 95003 818 3003 TDP_266 Drought 4
## 152 2023.06.03 12.21.15 244301 865 2913 TDP_262 Drought 4
## 153 2023.06.03 12.22.09 153645 1036 3646 TDP_273 Control 4
## 154 2023.06.03 12.23.01 204005 957 3094 TDP_264 Control 4
## 155 2023.06.03 12.23.51 83241 970 2693 TDP_281 Control 4
## 156 2023.06.03 12.24.55 169676 956 3394 TDP_259 Control 4
## 157 2023.06.03 12.26.03 168711 802 2450 TDP_267 Control 4
## 158 2023.06.03 12.26.58 130442 1047 3318 TDP_273 Drought 4
## 159 2023.06.03 12.28.01 142546 883 3321 TDP_264 Drought 4
## 160 2023.06.03 12.28.56 83254 557 1626 TDP_281 Drought 4
## 161 2023.06.03 12.30.06 172670 633 2934 TDP_259 Drought 4
## 162 2023.06.03 12.31.16 143050 847 2702 TDP_267 Drought 4
## 163 2023.06.03 12.32.09 24070 614 1868 TDP_240 Control 4
## 164 2023.06.03 12.33.01 44806 681 2999 TDP_245 Control 4
## 165 2023.06.03 12.33.52 546261 848 4482 TDP_248 Control 4
## 166 2023.06.03 12.34.42 53079 860 2722 TDP_240 Drought 4
## 167 2023.06.03 12.35.35 50109 755 2874 TDP_245 Drought 4
## 168 2023.06.03 12.36.31 448050 789 3847 TDP_248 Drought 4
## 169 2023.06.03 12.37.23 202639 1074 3016 TDP_258 Control 4
## 170 2023.06.03 12.38.13 76248 772 3324 TDP_242 Control 4
## 171 2023.06.03 12.39.04 13125 656 1533 TDP_239 Control 4
## 172 2023.06.03 12.39.55 127010 942 2938 TDP_258 Drought 4
## 173 2023.06.03 12.40.45 16108 344 2562 TDP_242 Drought 4
## 174 2023.06.03 12.41.36 81121 602 2667 TDP_239 Drought 4
## 175 2023.06.03 12.42.55 78395 930 3855 TDP_238 Control 4
## 176 2023.06.03 12.43.47 140002 920 3778 TDP_244 Control 4
## 177 2023.06.03 12.44.43 609081 985 5415 TDP_288 Control 4
## 178 2023.06.03 12.45.57 420348 1262 4622 TDP_290 Control 4
## 179 2023.06.03 12.46.49 314076 1331 3359 TDP_22_c Control 4
## 180 2023.06.03 12.47.42 32085 591 2741 TDP_238 Drought 4
## 181 2023.06.03 12.48.34 186941 753 2892 TDP_244 Drought 4
## 182 2023.06.03 12.49.25 601776 1114 4208 TDP_288 Drought 4
## 183 2023.06.03 12.52.00 337397 1040 4002 TDP_290 Drought 4
## 184 2023.06.03 12.52.52 212058 1041 3642 TDP_22_c Drought 4
## 185 2023.06.03 12.53.44 25760 141 1477 TDP_296 Control 4
## 186 2023.06.03 12.54.47 651707 1043 4241 TDP_294 Control 4
## 187 2023.06.03 12.55.39 140507 1106 3472 TDP_276 Control 4
## 188 2023.06.03 12.56.31 83479 1072 2355 TDP_296 Drought 4
## 189 2023.06.03 12.57.22 286451 1134 2807 TDP_294 Drought 4
## 190 2023.06.03 12.58.22 127522 997 3122 TDP_276 Drought 4
## 191 2023.06.03 12.59.15 45854 231 1528 TDP_293 Control 4
## 192 2023.06.03 13.00.31 240254 1104 2687 TDP_279 Control 4
## 193 2023.06.03 13.01.31 384077 647 4574 TDP_299 Control 4
## 194 2023.06.03 13.02.22 110180 923 1556 TDP_274 Control 4
## 195 2023.06.03 13.03.39 37865 602 1147 TDP_293 Drought 4
## 196 2023.06.03 13.04.38 310996 1146 3869 TDP_279 Drought 4
## 197 2023.06.03 13.05.54 98519 544 2341 TDP_299 Drought 4
## 198 2023.06.03 13.06.43 125858 927 2812 TDP_274 Drought 4
## 199 2023.06.03 13.08.11 271474 772 3412 TDP_272 Control 4
## 200 2023.06.03 13.09.14 501870 1275 4388 TDP_275 Control 4
## 201 2023.06.03 13.10.04 11980 367 777 TDP_278 Control 4
## 202 2023.06.03 13.11.09 210206 1066 3867 TDP_295 Control 4
## 203 2023.06.03 13.12.24 296909 1051 3530 TDP_285 Control 4
## 204 2023.06.03 13.13.14 0 1028 4634 TDP_272 Drought 4
## 205 2023.06.03 13.14.04 79266 933 2161 TDP_275 Drought 4
## 206 2023.06.03 13.19.44 73781 686 1542 TDP_278 Drought 4
## 207 2023.06.03 13.20.36 209229 551 2581 TDP_295 Drought 4
## 208 2023.06.03 13.22.29 146884 952 2330 TDP_284 Control 4
## 209 2023.06.03 13.23.20 68876 694 2802 TDP_359_c Control 4
## 210 2023.06.03 13.25.46 76563 727 4358 TDP_243 Control 4
## 211 2023.06.03 13.26.53 145209 661 2299 TDP_284 Drought 4
## 212 2023.06.03 13.27.44 94877 776 2988 TDP_359_c Drought 4
## 213 2023.06.03 13.29.08 69481 571 2748 TDP_243 Drought 4
## 214 2023.06.05 10.50.13 191952 824 3118 TDP_265 Control 6
## 215 2023.06.05 10.52.07 63870 590 1426 TDP_263 Control 6
## 216 2023.06.05 10.53.56 240446 952 3841 TDP_269 Control 6
## 217 2023.06.05 10.54.48 93905 767 2739 TDP_266 Control 6
## 218 2023.06.05 10.55.56 251139 734 2928 TDP_262 Control 6
## 219 2023.06.05 10.56.56 138736 862 4222 TDP_265 Drought 6
## 220 2023.06.05 10.57.48 187123 937 4459 TDP_263 Drought 6
## 221 2023.06.05 10.58.42 241313 822 3917 TDP_269 Drought 6
## 222 2023.06.05 10.59.32 142912 680 3183 TDP_266 Drought 6
## 223 2023.06.05 11.01.20 244191 831 2952 TDP_262 Drought 6
## 224 2023.06.05 11.02.48 190400 1022 3954 TDP_273 Control 6
## 225 2023.06.05 11.04.19 307081 865 3641 TDP_264 Control 6
## 226 2023.06.05 11.05.35 132410 1027 2870 TDP_281 Control 6
## 227 2023.06.05 11.06.52 271204 1053 3825 TDP_259 Control 6
## 228 2023.06.05 11.08.29 208469 623 2649 TDP_267 Control 6
## 229 2023.06.05 11.09.50 157492 733 3795 TDP_273 Drought 6
## 230 2023.06.05 11.10.41 142051 943 3376 TDP_264 Drought 6
## 231 2023.06.05 11.11.33 133762 607 2122 TDP_281 Drought 6
## 232 2023.06.05 11.13.00 175542 617 2912 TDP_259 Drought 6
## 233 2023.06.05 11.15.27 127746 849 2748 TDP_267 Drought 6
## 234 2023.06.05 11.16.40 34282 711 2286 TDP_240 Control 6
## 235 2023.06.05 11.18.08 61660 902 3338 TDP_245 Control 6
## 236 2023.06.05 11.22.40 711268 953 5168 TDP_248 Control 6
## 237 2023.06.05 11.23.32 88734 957 3088 TDP_240 Drought 6
## 238 2023.06.05 11.24.23 57893 628 3339 TDP_245 Drought 6
## 239 2023.06.05 11.25.28 554440 807 4255 TDP_248 Drought 6
## 240 2023.06.05 11.26.32 354125 1159 3053 TDP_258 Control 6
## 241 2023.06.05 11.27.47 105831 824 3702 TDP_242 Control 6
## 242 2023.06.05 11.28.48 18294 531 1388 TDP_239 Control 6
## 243 2023.06.05 11.31.41 140930 971 3078 TDP_258 Drought 6
## 244 2023.06.05 11.34.19 19823 389 2847 TDP_242 Drought 6
## 245 2023.06.05 11.36.04 75909 601 2731 TDP_239 Drought 6
## 246 2023.06.05 11.37.29 116641 695 3394 TDP_238 Control 6
## 247 2023.06.05 11.38.38 198755 779 3487 TDP_244 Control 6
## 248 2023.06.05 11.39.41 762721 993 5590 TDP_288 Control 6
## 249 2023.06.05 11.40.36 588845 1184 5003 TDP_290 Control 6
## 250 2023.06.05 11.41.27 405150 1278 3768 TDP_22_c Control 6
## 251 2023.06.05 11.42.45 52338 660 2932 TDP_238 Drought 6
## 252 2023.06.05 11.43.36 240120 770 3199 TDP_244 Drought 6
## 253 2023.06.05 11.44.30 708654 1133 4144 TDP_288 Drought 6
## 254 2023.06.05 11.45.21 309422 1044 3662 TDP_290 Drought 6
## 255 2023.06.05 11.46.12 270600 1236 3760 TDP_22_c Drought 6
## 256 2023.06.05 11.47.25 45041 221 1525 TDP_296 Control 6
## 257 2023.06.05 11.48.27 772359 1130 4622 TDP_294 Control 6
## 258 2023.06.05 11.49.51 158449 1062 3591 TDP_276 Control 6
## 259 2023.06.05 11.50.59 133894 1146 2364 TDP_296 Drought 6
## 260 2023.06.05 11.51.49 269266 1212 2865 TDP_294 Drought 6
## 261 2023.06.05 11.52.41 147256 1084 3353 TDP_276 Drought 6
## 262 2023.06.05 11.53.35 52509 203 1602 TDP_293 Control 6
## 263 2023.06.05 11.57.34 353620 1142 3325 TDP_279 Control 6
## 264 2023.06.05 11.59.00 456213 812 4959 TDP_299 Control 6
## 265 2023.06.05 12.02.35 136357 943 1906 TDP_274 Control 6
## 266 2023.06.05 12.04.06 35373 594 1207 TDP_293 Drought 6
## 267 2023.06.05 12.05.11 361761 1185 4490 TDP_279 Drought 6
## 268 2023.06.05 12.06.08 106580 845 3032 TDP_299 Drought 6
## 269 2023.06.05 12.07.23 133244 933 2954 TDP_274 Drought 6
## 270 2023.06.05 12.08.37 247737 748 3697 TDP_272 Control 6
## 271 2023.06.05 12.09.44 689872 1274 4242 TDP_275 Control 6
## 272 2023.06.05 12.10.58 25459 476 1216 TDP_278 Control 6
## 273 2023.06.05 12.12.14 356176 1133 3757 TDP_295 Control 6
## 274 2023.06.05 12.13.05 404553 1087 3806 TDP_285 Control 6
## 275 2023.06.05 12.13.55 0 1069 3388 TDP_272 Drought 6
## 276 2023.06.05 12.14.46 99173 902 2369 TDP_275 Drought 6
## 277 2023.06.05 12.15.35 100224 723 1788 TDP_278 Drought 6
## 278 2023.06.05 12.16.28 226023 584 2616 TDP_295 Drought 6
## 279 2023.06.05 12.18.35 120240 896 1871 TDP_284 Control 6
## 280 2023.06.05 12.19.35 71841 797 2672 TDP_359_c Control 6
## 281 2023.06.05 12.20.25 115955 889 4140 TDP_243 Control 6
## 282 2023.06.05 12.21.24 112386 542 1670 TDP_284 Drought 6
## 283 2023.06.05 12.22.46 94676 671 3180 TDP_359_c Drought 6
## 284 2023.06.05 12.24.10 57162 595 2058 TDP_243 Drought 6
## 285 2023.06.07 09.45.45 349367 895 3458 TDP_265 Control 8
## 286 2023.06.07 09.55.43 79135 715 2180 TDP_263 Control 8
## 287 2023.06.07 09.57.06 426968 1040 3929 TDP_269 Control 8
## 288 2023.06.07 09.58.01 183847 805 3443 TDP_266 Control 8
## 289 2023.06.07 10.00.23 287401 953 3264 TDP_262 Control 8
## 290 2023.06.07 10.02.06 168790 709 4561 TDP_265 Drought 8
## 291 2023.06.07 10.05.17 212082 813 4325 TDP_263 Drought 8
## 292 2023.06.07 10.06.57 277052 830 3867 TDP_269 Drought 8
## 293 2023.06.07 10.12.40 213085 911 3214 TDP_266 Drought 8
## 294 2023.06.07 10.14.03 271948 861 3103 TDP_262 Drought 8
## 295 2023.06.07 10.15.39 338585 1150 4777 TDP_273 Control 8
## 296 2023.06.07 10.17.02 416855 840 3731 TDP_264 Control 8
## 297 2023.06.07 10.18.07 271360 1270 3552 TDP_281 Control 8
## 298 2023.06.07 10.19.17 431626 1008 4525 TDP_259 Control 8
## 299 2023.06.07 10.20.53 264680 707 3079 TDP_267 Control 8
## 300 2023.06.07 10.21.45 202829 754 4258 TDP_273 Drought 8
## 301 2023.06.07 10.22.39 231133 901 3514 TDP_264 Drought 8
## 302 2023.06.07 10.23.38 123417 703 2409 TDP_281 Drought 8
## 303 2023.06.07 10.24.54 267094 766 3195 TDP_259 Drought 8
## 304 2023.06.07 10.25.48 184013 762 2896 TDP_267 Drought 8
## 305 2023.06.07 10.26.40 53703 712 2573 TDP_240 Control 8
## 306 2023.06.07 10.27.30 113907 976 3859 TDP_245 Control 8
## 307 2023.06.07 11.51.23 83017 890 3488 TDP_240 Drought 8
## 308 2023.06.07 11.53.13 69074 586 2759 TDP_245 Drought 8
## 309 2023.06.07 11.54.28 558967 838 4220 TDP_248 Drought 8
## 310 2023.06.07 11.56.25 509561 1263 3597 TDP_258 Control 8
## 311 2023.06.07 11.57.24 142238 850 4066 TDP_242 Control 8
## 312 2023.06.07 11.58.15 18702 835 1532 TDP_239 Control 8
## 313 2023.06.07 11.59.29 157904 980 3244 TDP_258 Drought 8
## 314 2023.06.07 12.01.39 36882 600 3195 TDP_242 Drought 8
## 315 2023.06.07 12.03.31 122207 723 2638 TDP_239 Drought 8
## 316 2023.06.07 12.06.19 127210 733 3421 TDP_238 Control 8
## 317 2023.06.07 12.10.38 279536 808 4246 TDP_244 Control 8
## 318 2023.06.07 12.12.19 982688 1285 5887 TDP_288 Control 8
## 319 2023.06.07 12.14.48 630423 1260 5288 TDP_290 Control 8
## 320 2023.06.07 12.16.20 468242 1323 3684 TDP_22_c Control 8
## 321 2023.06.07 12.17.12 89614 755 3130 TDP_238 Drought 8
## 322 2023.06.07 12.18.02 365129 795 3899 TDP_244 Drought 8
## 323 2023.06.07 12.20.07 780509 1153 3895 TDP_288 Drought 8
## 324 2023.06.07 12.21.29 390298 1137 4014 TDP_290 Drought 8
## 325 2023.06.07 12.23.31 332955 1165 3713 TDP_22_c Drought 8
## 326 2023.06.07 12.25.04 55301 159 1527 TDP_296 Control 8
## 327 2023.06.07 12.26.10 999840 1240 4600 TDP_294 Control 8
## 328 2023.06.07 12.27.10 250748 1217 3508 TDP_276 Control 8
## 329 2023.06.07 12.28.02 144464 1111 2501 TDP_296 Drought 8
## 330 2023.06.07 12.28.53 302340 1205 2763 TDP_294 Drought 8
## 331 2023.06.07 12.29.44 188071 1118 3392 TDP_276 Drought 8
## 332 2023.06.07 12.30.34 54302 202 1303 TDP_293 Control 8
## 333 2023.06.07 12.31.24 449273 1292 3633 TDP_279 Control 8
## 334 2023.06.07 12.32.28 579588 872 4886 TDP_299 Control 8
## 335 2023.06.07 12.33.19 193297 1028 2574 TDP_274 Control 8
## 336 2023.06.07 12.34.28 46044 626 1488 TDP_293 Drought 8
## 337 2023.06.07 12.35.19 487711 1268 4429 TDP_279 Drought 8
## 338 2023.06.07 12.36.09 235449 608 2601 TDP_299 Drought 8
## 339 2023.06.07 12.37.12 203597 1132 3063 TDP_274 Drought 8
## 340 2023.06.07 12.38.15 258038 754 3859 TDP_272 Control 8
## 341 2023.06.07 12.39.35 695727 1287 4169 TDP_275 Control 8
## 342 2023.06.07 12.41.07 40844 544 1631 TDP_278 Control 8
## 343 2023.06.07 12.41.57 551325 1317 4501 TDP_295 Control 8
## 344 2023.06.07 12.42.53 532716 1143 3684 TDP_285 Control 8
## 345 2023.06.07 12.43.57 0 1122 4921 TDP_272 Drought 8
## 346 2023.06.07 12.44.57 112626 1049 2385 TDP_275 Drought 8
## 347 2023.06.07 12.45.49 125857 715 1856 TDP_278 Drought 8
## 348 2023.06.07 12.50.45 259939 558 2754 TDP_295 Drought 8
## 349 2023.06.07 12.53.05 86723 908 1852 TDP_284 Control 8
## 350 2023.06.07 12.53.56 64424 708 2450 TDP_359_c Control 8
## 351 2023.06.07 12.55.01 108677 901 4224 TDP_243 Control 8
## 352 2023.06.07 12.56.01 78566 439 1462 TDP_284 Drought 8
## 353 2023.06.07 12.56.52 139715 700 3208 TDP_359_c Drought 8
## 354 2023.06.07 12.57.43 42480 483 1957 TDP_243 Drought 8
## 355 2023.06.09 09.45.46 451352 1030 3931 TDP_265 Control 10
## 356 2023.06.09 09.48.11 93092 859 2773 TDP_263 Control 10
## 357 2023.06.09 09.49.57 643004 1193 4610 TDP_269 Control 10
## 358 2023.06.09 09.51.57 341234 791 3725 TDP_266 Control 10
## 359 2023.06.09 09.52.55 333483 1001 3437 TDP_262 Control 10
## 360 2023.06.09 09.53.55 191844 733 4493 TDP_265 Drought 10
## 361 2023.06.09 09.54.53 195607 815 4411 TDP_263 Drought 10
## 362 2023.06.09 09.55.43 350907 911 3701 TDP_269 Drought 10
## 363 2023.06.09 09.56.31 255717 906 3654 TDP_266 Drought 10
## 364 2023.06.09 09.57.32 287655 868 3030 TDP_262 Drought 10
## 365 2023.06.09 09.58.49 481953 1079 5507 TDP_273 Control 10
## 366 2023.06.09 09.59.39 525724 1071 3904 TDP_264 Control 10
## 367 2023.06.09 10.01.10 489381 1225 4709 TDP_281 Control 10
## 368 2023.06.09 10.02.53 512681 918 5398 TDP_259 Control 10
## 369 2023.06.09 10.05.00 412196 848 3826 TDP_267 Control 10
## 370 2023.06.09 10.06.43 251261 851 4620 TDP_273 Drought 10
## 371 2023.06.09 10.07.34 192630 863 3414 TDP_264 Drought 10
## 372 2023.06.09 10.08.28 135740 818 2572 TDP_281 Drought 10
## 373 2023.06.09 10.09.27 315343 739 3724 TDP_259 Drought 10
## 374 2023.06.09 10.10.29 249928 768 2896 TDP_267 Drought 10
## 375 2023.06.09 10.11.18 65614 765 3008 TDP_240 Control 10
## 376 2023.06.09 10.12.10 186850 1054 4346 TDP_245 Control 10
## 377 2023.06.09 10.13.24 1166918 1168 6121 TDP_248 Control 10
## 378 2023.06.09 10.14.40 1298215 1077 6293 TDP_248 Control 10
## 379 2023.06.09 10.15.34 118033 1037 3753 TDP_240 Drought 10
## 380 2023.06.09 10.16.25 98231 612 2952 TDP_245 Drought 10
## 381 2023.06.09 10.17.45 681459 807 4936 TDP_248 Drought 10
## 382 2023.06.09 10.18.42 610411 1376 4210 TDP_258 Control 10
## 383 2023.06.09 10.19.33 213510 921 4174 TDP_242 Control 10
## 384 2023.06.09 10.20.25 30662 777 1565 TDP_239 Control 10
## 385 2023.06.09 10.21.17 180925 1074 3371 TDP_258 Drought 10
## 386 2023.06.09 10.22.07 40627 469 3026 TDP_242 Drought 10
## 387 2023.06.09 10.24.09 127625 697 2742 TDP_239 Drought 10
## 388 2023.06.09 10.25.32 155056 750 3771 TDP_238 Control 10
## 389 2023.06.09 10.26.40 427333 901 5039 TDP_244 Control 10
## 390 2023.06.09 10.27.58 1184084 1138 5963 TDP_288 Control 10
## 391 2023.06.09 10.28.53 932009 1247 5592 TDP_290 Control 10
## 392 2023.06.09 10.29.47 514399 1282 4278 TDP_22_c Control 10
## 393 2023.06.09 10.31.07 100535 924 3387 TDP_238 Drought 10
## 394 2023.06.09 10.31.59 421187 878 3868 TDP_244 Drought 10
## 395 2023.06.09 10.33.11 860601 1187 4012 TDP_288 Drought 10
## 396 2023.06.09 10.34.12 393971 1191 3999 TDP_290 Drought 10
## 397 2023.06.09 10.35.18 366842 1225 3868 TDP_22_c Drought 10
## 398 2023.06.09 10.36.11 57419 160 1534 TDP_296 Control 10
## 399 2023.06.09 10.38.43 1059806 1220 4903 TDP_294 Control 10
## 400 2023.06.09 10.40.18 237878 1058 3290 TDP_276 Control 10
## 401 2023.06.09 10.41.11 174026 1130 2379 TDP_296 Drought 10
## 402 2023.06.09 10.42.14 295369 1245 2625 TDP_294 Drought 10
## 403 2023.06.09 10.44.16 226824 1193 3354 TDP_276 Drought 10
## 404 2023.06.09 10.45.26 41828 203 1174 TDP_293 Control 10
## 405 2023.06.09 10.46.36 631222 1221 3682 TDP_279 Control 10
## 406 2023.06.09 10.47.27 663102 915 5115 TDP_299 Control 10
## 407 2023.06.09 10.48.17 249319 1101 2772 TDP_274 Control 10
## 408 2023.06.09 10.49.09 50164 611 1299 TDP_293 Drought 10
## 409 2023.06.09 10.50.13 537549 1296 4366 TDP_279 Drought 10
## 410 2023.06.09 10.51.44 324078 640 2681 TDP_299 Drought 10
## 411 2023.06.09 10.52.49 242574 1154 3024 TDP_274 Drought 10
## 412 2023.06.09 10.53.39 324906 861 3890 TDP_272 Control 10
## 413 2023.06.09 10.54.59 634594 1157 4262 TDP_275 Control 10
## 414 2023.06.09 10.56.22 70262 655 2291 TDP_278 Control 10
## 415 2023.06.09 10.57.12 744358 1064 5072 TDP_295 Control 10
## 416 2023.06.09 10.58.02 543144 1099 3199 TDP_285 Control 10
## 417 2023.06.09 10.58.52 0 1079 2310 TDP_272 Drought 10
## 418 2023.06.09 10.59.44 111126 1080 2607 TDP_275 Drought 10
## 419 2023.06.09 11.01.06 121768 739 1780 TDP_278 Drought 10
## 420 2023.06.09 11.01.56 259255 597 2758 TDP_295 Drought 10
## 421 2023.06.09 11.04.13 89657 1019 1781 TDP_284 Control 10
## 422 2023.06.09 11.06.06 83716 714 2845 TDP_359_c Control 10
## 423 2023.06.09 11.07.31 133387 880 4347 TDP_243 Control 10
## 424 2023.06.09 11.08.22 49804 367 1461 TDP_284 Drought 10
## 425 2023.06.09 11.10.13 158534 681 3348 TDP_359_c Drought 10
## 426 2023.06.09 11.11.02 37008 470 1662 TDP_243 Drought 10
## 427 2023.06.11 14.04.44 661959 910 4424 TDP_265 Control 12
## 428 2023.06.11 14.05.56 163350 781 3000 TDP_263 Control 12
## 429 2023.06.11 14.06.59 731443 1184 4917 TDP_269 Control 12
## 430 2023.06.11 14.08.13 441887 871 4209 TDP_266 Control 12
## 431 2023.06.11 14.09.34 413145 898 3763 TDP_262 Control 12
## 432 2023.06.11 14.10.45 244417 840 4371 TDP_265 Drought 12
## 433 2023.06.11 14.11.49 317995 844 4304 TDP_263 Drought 12
## 434 2023.06.11 14.14.08 370033 999 3926 TDP_269 Drought 12
## 435 2023.06.11 14.16.00 354499 851 3442 TDP_266 Drought 12
## 436 2023.06.11 14.17.27 342559 902 2963 TDP_262 Drought 12
## 437 2023.06.11 14.18.33 680803 1151 5849 TDP_273 Control 12
## 438 2023.06.11 14.19.31 691089 948 4108 TDP_264 Control 12
## 439 2023.06.11 14.20.56 665513 1186 4565 TDP_281 Control 12
## 440 2023.06.11 14.21.52 725246 986 5458 TDP_259 Control 12
## 441 2023.06.11 14.23.07 682784 888 3816 TDP_267 Control 12
## 442 2023.06.11 14.23.56 302538 1051 4479 TDP_273 Drought 12
## 443 2023.06.11 14.24.50 249896 864 3202 TDP_264 Drought 12
## 444 2023.06.11 14.25.38 155508 927 2621 TDP_281 Drought 12
## 445 2023.06.11 14.26.28 401817 858 3686 TDP_259 Drought 12
## 446 2023.06.11 14.27.34 280016 752 3163 TDP_267 Drought 12
## 447 2023.06.11 14.28.27 97624 706 3275 TDP_240 Control 12
## 448 2023.06.11 14.29.33 323123 877 5217 TDP_245 Control 12
## 449 2023.06.11 14.31.57 1646018 922 6844 TDP_248 Control 12
## 450 2023.06.11 14.33.46 149050 1102 3895 TDP_240 Drought 12
## 451 2023.06.11 14.35.00 129675 649 2804 TDP_245 Drought 12
## 452 2023.06.11 14.35.50 645112 839 4760 TDP_248 Drought 12
## 453 2023.06.11 14.37.09 825571 1339 4590 TDP_258 Control 12
## 454 2023.06.11 14.38.00 354189 865 4953 TDP_242 Control 12
## 455 2023.06.11 14.38.50 29163 785 1509 TDP_239 Control 12
## 456 2023.06.11 14.39.41 186160 1018 2840 TDP_258 Drought 12
## 457 2023.06.11 14.40.58 83267 543 3438 TDP_242 Drought 12
## 458 2023.06.11 14.46.07 138797 731 2665 TDP_239 Drought 12
## 459 2023.06.11 14.47.51 210464 921 4145 TDP_238 Control 12
## 460 2023.06.11 14.48.40 504034 837 4777 TDP_244 Control 12
## 461 2023.06.11 14.49.38 1452630 1322 5820 TDP_288 Control 12
## 462 2023.06.11 14.50.47 1003811 1315 5714 TDP_290 Control 12
## 463 2023.06.11 14.51.47 615181 1161 4143 TDP_22_c Control 12
## 464 2023.06.11 14.52.48 120205 797 3639 TDP_238 Drought 12
## 465 2023.06.11 14.53.56 532615 917 4513 TDP_244 Drought 12
## 466 2023.06.11 14.54.49 873829 1176 3861 TDP_288 Drought 12
## 467 2023.06.11 14.55.43 461656 1200 4183 TDP_290 Drought 12
## 468 2023.06.11 14.56.33 527342 1275 3826 TDP_22_c Drought 12
## 469 2023.06.11 14.57.25 58760 149 1391 TDP_296 Control 12
## 470 2023.06.11 14.58.15 1181628 1155 4645 TDP_294 Control 12
## 471 2023.06.11 14.59.05 165189 1036 3176 TDP_276 Control 12
## 472 2023.06.11 15.00.00 288014 1223 2909 TDP_294 Drought 12
## 473 2023.06.11 15.00.50 144038 1147 2469 TDP_296 Drought 12
## 474 2023.06.11 15.02.36 291971 1187 2593 TDP_294 Drought 12
## 475 2023.06.11 15.03.25 184392 1105 3389 TDP_276 Drought 12
## 476 2023.06.11 15.04.20 28927 179 1121 TDP_293 Control 12
## 477 2023.06.11 15.05.12 678093 1237 4163 TDP_279 Control 12
## 478 2023.06.11 15.06.02 769034 952 4936 TDP_299 Control 12
## 479 2023.06.11 15.07.19 385148 1167 3088 TDP_274 Control 12
## 480 2023.06.11 15.08.19 40633 603 847 TDP_293 Drought 12
## 481 2023.06.11 15.09.09 478090 1240 4625 TDP_279 Drought 12
## 482 2023.06.11 15.09.59 343382 666 2850 TDP_299 Drought 12
## 483 2023.06.11 15.10.49 239351 1274 3298 TDP_274 Drought 12
## 484 2023.06.11 15.11.40 409660 750 4031 TDP_272 Control 12
## 485 2023.06.11 15.12.30 575793 1152 4379 TDP_275 Control 12
## 486 2023.06.11 15.13.19 143935 335 2983 TDP_278 Control 12
## 487 2023.06.11 15.14.08 832303 1028 4918 TDP_295 Control 12
## 488 2023.06.11 15.15.03 479498 1109 2876 TDP_285 Control 12
## 489 2023.06.11 15.15.59 118203 1070 2311 TDP_275 Drought 12
## 490 2023.06.11 15.16.48 110313 574 1893 TDP_278 Drought 12
## 491 2023.06.11 15.17.43 300285 633 2760 TDP_295 Drought 12
## 492 2023.06.11 15.19.23 83731 902 1829 TDP_284 Control 12
## 493 2023.06.11 15.20.11 103411 733 2756 TDP_359_c Control 12
## 494 2023.06.11 15.21.03 164436 972 4437 TDP_243 Control 12
## 495 2023.06.11 15.22.07 35251 370 1266 TDP_284 Drought 12
## 496 2023.06.11 15.24.31 184921 738 3437 TDP_359_c Drought 12
## 497 2023.06.11 15.26.17 26927 458 1275 TDP_243 Drought 12
## 498 2023.06.13 09.45.26 808080 973 4589 TDP_265 Control 14
## 499 2023.06.13 09.46.42 218680 839 3228 TDP_263 Control 14
## 500 2023.06.13 09.48.16 879765 1099 5216 TDP_269 Control 14
## 501 2023.06.13 09.49.15 552424 885 4678 TDP_266 Control 14
## 502 2023.06.13 09.50.45 448681 904 4038 TDP_262 Control 14
## 503 2023.06.13 09.51.34 252622 808 4550 TDP_265 Drought 14
## 504 2023.06.13 09.52.25 302695 951 4271 TDP_263 Drought 14
## 505 2023.06.13 09.53.13 459163 1013 4009 TDP_269 Drought 14
## 506 2023.06.13 09.54.03 359348 797 3784 TDP_266 Drought 14
## 507 2023.06.13 09.54.53 353983 885 3111 TDP_262 Drought 14
## 508 2023.06.13 09.56.11 871774 1114 6638 TDP_273 Control 14
## 509 2023.06.13 09.57.00 752765 1097 4292 TDP_264 Control 14
## 510 2023.06.13 09.57.53 983628 1353 5132 TDP_281 Control 14
## 511 2023.06.13 09.58.50 784944 1081 5685 TDP_259 Control 14
## 512 2023.06.13 09.59.41 933023 868 4403 TDP_267 Control 14
## 513 2023.06.13 10.00.31 336850 1092 4515 TDP_273 Drought 14
## 514 2023.06.13 10.01.47 291754 980 3484 TDP_264 Drought 14
## 515 2023.06.13 10.02.38 192155 1067 2979 TDP_281 Drought 14
## 516 2023.06.13 10.03.31 505381 885 3717 TDP_259 Drought 14
## 517 2023.06.13 10.04.40 375633 938 3176 TDP_267 Drought 14
## 518 2023.06.13 10.05.30 176521 716 3719 TDP_240 Control 14
## 519 2023.06.13 10.06.52 410662 819 5660 TDP_245 Control 14
## 520 2023.06.13 10.07.54 1630978 1185 6856 TDP_248 Control 14
## 521 2023.06.13 10.09.00 149549 955 3838 TDP_240 Drought 14
## 522 2023.06.13 10.09.52 161363 653 3014 TDP_245 Drought 14
## 523 2023.06.13 10.10.43 754189 973 4938 TDP_248 Drought 14
## 524 2023.06.13 10.11.38 982509 1344 4592 TDP_258 Control 14
## 525 2023.06.13 10.12.28 391102 881 5235 TDP_242 Control 14
## 526 2023.06.13 10.13.17 15435 724 1412 TDP_239 Control 14
## 527 2023.06.13 10.14.33 168701 989 2940 TDP_258 Drought 14
## 528 2023.06.13 10.15.23 92795 502 3428 TDP_242 Drought 14
## 529 2023.06.13 10.16.14 141909 734 2909 TDP_239 Drought 14
## 530 2023.06.13 10.17.05 248028 825 4249 TDP_238 Control 14
## 531 2023.06.13 10.19.31 679440 1038 5320 TDP_244 Control 14
## 532 2023.06.13 10.20.21 1623942 1312 5924 TDP_288 Control 14
## 533 2023.06.13 10.21.57 1057034 1376 5826 TDP_290 Control 14
## 534 2023.06.13 10.23.23 677263 1295 4296 TDP_22_c Control 14
## 535 2023.06.13 10.24.26 153260 944 3840 TDP_238 Drought 14
## 536 2023.06.13 10.25.18 564123 972 4605 TDP_244 Drought 14
## 537 2023.06.13 10.26.14 948590 1216 3897 TDP_288 Drought 14
## 538 2023.06.13 10.27.04 497209 1244 4304 TDP_290 Drought 14
## 539 2023.06.13 10.27.54 542642 1268 4236 TDP_22_c Drought 14
## 540 2023.06.13 10.29.12 55676 159 1488 TDP_296 Control 14
## 541 2023.06.13 10.30.02 1266721 1223 4951 TDP_294 Control 14
## 542 2023.06.13 10.30.52 149967 1053 3710 TDP_276 Control 14
## 543 2023.06.13 10.42.04 140479 1126 2515 TDP_296 Drought 14
## 544 2023.06.13 10.49.32 283687 1267 3062 TDP_294 Drought 14
## 545 2023.06.13 10.50.49 188065 1144 3150 TDP_276 Drought 14
## 546 2023.06.13 10.52.53 20442 156 1034 TDP_293 Control 14
## 547 2023.06.13 10.53.50 778121 1270 4238 TDP_279 Control 14
## 548 2023.06.13 10.54.58 826984 993 5144 TDP_299 Control 14
## 549 2023.06.13 10.56.03 454150 1228 3891 TDP_274 Control 14
## 550 2023.06.13 10.56.55 28426 588 856 TDP_293 Drought 14
## 551 2023.06.13 10.58.08 571487 1308 4718 TDP_279 Drought 14
## 552 2023.06.13 11.00.28 579966 1284 4687 TDP_279 Drought 14
## 553 2023.06.13 11.01.38 333962 648 2896 TDP_299 Drought 14
## 554 2023.06.13 11.03.12 268102 1176 3226 TDP_274 Drought 14
## 555 2023.06.13 11.04.08 430944 858 3805 TDP_272 Control 14
## 556 2023.06.13 11.05.09 601881 1149 4387 TDP_275 Control 14
## 557 2023.06.13 11.06.21 194681 555 2167 TDP_278 Control 14
## 558 2023.06.13 11.07.22 916685 1180 4956 TDP_295 Control 14
## 559 2023.06.13 11.08.17 425148 1104 2931 TDP_285 Control 14
## 560 2023.06.13 11.09.16 0 1102 1925 TDP_272 Drought 14
## 561 2023.06.13 11.10.10 101489 968 2311 TDP_275 Drought 14
## 562 2023.06.13 11.11.08 88048 444 2124 TDP_278 Drought 14
## 563 2023.06.13 11.12.07 298946 633 2742 TDP_295 Drought 14
## 564 2023.06.13 11.13.54 81219 955 1825 TDP_284 Control 14
## 565 2023.06.13 11.14.46 112489 882 2602 TDP_359_c Control 14
## 566 2023.06.13 11.15.46 231497 977 4534 TDP_243 Control 14
## 567 2023.06.13 11.17.14 24228 288 1166 TDP_284 Drought 14
## 568 2023.06.13 11.18.06 209149 759 3250 TDP_359_c Drought 14
## 569 2023.06.13 11.19.08 21125 419 1324 TDP_243 Drought 14plot(data_sum$Area.sum ~ data_sum$days)
# write.csv(data_sum, "data_sum.csv")data_sum$Ex <- 6Assign levels
Drop rows with missing values
cumm_data_clean <- data_sum %>% drop_na()
cumm_data_clean$Treatment <- factor(cumm_data_clean$Treatment, levels = c("Control","Drought"))We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
cumm_data_clean$sid <- paste0(cumm_data_clean$Accession, "_", substr(cumm_data_clean$Treatment, 1, 1))write.csv(cumm_data_clean, "final_Ex6.csv")Ex_7
Loading all days processed images from Ex7
d0 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex7_Results\\Results_Ex7_062023.csv",'show_col_types' = 'FALSE')
d2 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex7_Results\\Results_Ex7_062223.csv",'show_col_types' = 'FALSE')
d4 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex7_Results\\Results_Ex7_062423.csv",'show_col_types' = 'FALSE')
d6 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex7_Results\\Results_Ex7_062623.csv",'show_col_types' = 'FALSE')
d8 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex7_Results\\Results_Ex7_062823.csv", 'show_col_types' = 'FALSE')
d10 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex7_Results\\Results_Ex7_063023.csv",'show_col_types' = 'FALSE')
d12 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex7_Results\\Results_Ex7_070223.csv", 'show_col_types' = 'FALSE')
d14 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex7_Results\\Results_Ex7_070423.csv",'show_col_types' = 'FALSE')Bind all days together
comb <- rbind(d0, d2, d4, d6, d8, d10, d12,d14)Load potnames7 which has pot number,pot tag, accession names and treatment.
potnames7 <- read_xlsx("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex7_Results\\potnames7.xlsx")Combining two sheets by matching potnumber and pot tag
h <- inner_join(comb,potnames7,by=c("Pot_no"="PotTag"))
h## # A tibble: 3,885 x 8
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
## 1 2023.06.20-15.52.~ 551 42 108 1 1 TDP_345 Control
## 2 2023.06.20-15.52.~ 508 29 42 1 1 TDP_345 Control
## 3 2023.06.20-15.52.~ 930 48 127 1 1 TDP_345 Control
## 4 2023.06.20-15.52.~ 988 42 145 1 1 TDP_345 Control
## 5 2023.06.20-15.52.~ 879 43 74 1 1 TDP_345 Control
## 6 2023.06.20-15.52.~ 713 48 76 1 1 TDP_345 Control
## 7 2023.06.20-15.52.~ 485 42 138 1 1 TDP_345 Control
## 8 2023.06.20-15.53.~ 259 23 71 2 2 TDP_324 Control
## 9 2023.06.20-15.53.~ 466 380 83 2 2 TDP_324 Control
## 10 2023.06.20-15.53.~ 846 341 167 2 2 TDP_324 Control
## # i 3,875 more rows# Split the date and time and isolate both DATE and TIMESTAMP
h <- h %>%
mutate(date = str_extract(Image_name, "\\d{4}\\.\\d{2}\\.\\d{2}"),
timestamp = str_extract(Image_name, "\\d{2}\\.\\d{2}\\.\\d{2}(?=\\.)"))Calculate cumulative area from 7 different angles AND maximum width and height
Subset for one plant
today <- subset(h, h$date == unique(h$date)[1])
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[1])
one_plant## # A tibble: 7 x 10
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment date
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <chr>
## 1 2023.06.20-1~ 551 42 108 1 1 TDP_345 Control 2023~
## 2 2023.06.20-1~ 508 29 42 1 1 TDP_345 Control 2023~
## 3 2023.06.20-1~ 930 48 127 1 1 TDP_345 Control 2023~
## 4 2023.06.20-1~ 988 42 145 1 1 TDP_345 Control 2023~
## 5 2023.06.20-1~ 879 43 74 1 1 TDP_345 Control 2023~
## 6 2023.06.20-1~ 713 48 76 1 1 TDP_345 Control 2023~
## 7 2023.06.20-1~ 485 42 138 1 1 TDP_345 Control 2023~
## # i 1 more variable: timestamp <chr>AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
sum(one_plant$Area)## [1] 5054max(one_plant$Width)## [1] 145max(one_plant$Height)## [1] 48Adding measurement to an empty table
names <- c("DATE", "TIME", "Area.sum", "Height.max", "Width.max")
data_sum <- data.frame()
for (k in names) data_sum[[k]] <- as.character()
data_sum[1,1] <- one_plant$date[1]
data_sum[1,2] <- one_plant$timestamp[1]
data_sum[1,3] <- sum(one_plant$Area)
data_sum[1,4] <- max(one_plant$Height)
data_sum[1,5] <- sum(one_plant$Width)
data_sum[1, c("Accession", "Treatment")] <- h[1, c("Accession", "Treatment")]
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment
## 1 2023.06.20 15.52.16 5054 48 710 TDP_345 Controlcount <- 1
for(d in 1:length(unique(h$date))){
today <- subset(h, h$date == unique(h$date)[d])
for(t in 1:length(unique(today$timestamp))){
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[t])
if (nrow(one_plant) > 0) {
data_sum[count,1] <- one_plant$date[1]
data_sum[count,2] <- one_plant$timestamp[1]
data_sum[count,3] <- sum(one_plant$Area)
data_sum[count,4] <- max(one_plant$Height)
data_sum[count,5] <- sum(one_plant$Width)
data_sum[count, "Treatment"] <- one_plant$Treatment[1]
data_sum[count, "Accession"] <- one_plant$Accession[1]
count <- count + 1
}
}
}Assign values to “days” column based on specific dates
data_sum$days[data_sum$DATE == "2023.06.20"] <- 0
data_sum$days[data_sum$DATE == "2023.06.22"] <- 2
data_sum$days[data_sum$DATE == "2023.06.24"] <- 4
data_sum$days[data_sum$DATE == "2023.06.26"] <- 6
data_sum$days[data_sum$DATE == "2023.06.28"] <- 8
data_sum$days[data_sum$DATE == "2023.06.30"] <- 10
data_sum$days[data_sum$DATE == "2023.07.02"] <- 12
data_sum$days[data_sum$DATE == "2023.07.04"] <- 14Adding
dim(h)[1] / dim(data_sum)[1]## [1] 7Plot Area.sum and Date
data_sum$Area.sum <- as.numeric(as.character(data_sum$Area.sum))
min(data_sum$Area.sum)## [1] 0unique(data_sum$days)## [1] 0 2 4 6 8 10 12 14# data_sum$DATE <- gsub("2023.05.", "", data_sum$DATE)
data_sum$days <- as.numeric(as.character(data_sum$days))
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment days
## 1 2023.06.20 15.52.16 5054 48 710 TDP_345 Control 0
## 2 2023.06.20 15.53.33 8113 426 1207 TDP_324 Control 0
## 3 2023.06.20 15.54.56 19783 813 2736 TDP_327 Control 0
## 4 2023.06.20 15.55.48 16246 205 1465 TDP_334 Control 0
## 5 2023.06.20 15.56.44 70196 762 2122 TDP_327 Control 0
## 6 2023.06.20 15.57.58 3513 54 689 TDP_345 Drought 0
## 7 2023.06.20 15.58.49 9027 401 1140 TDP_324 Drought 0
## 8 2023.06.20 15.59.38 11372 185 2029 TDP_327 Drought 0
## 9 2023.06.20 16.00.27 20118 431 977 TDP_334 Drought 0
## 10 2023.06.20 16.01.18 54888 617 2113 TDP_327 Drought 0
## 11 2023.06.20 16.02.08 44950 509 2560 TDP_341 Control 0
## 12 2023.06.20 16.02.59 6943 312 1489 TDP_339 Control 0
## 13 2023.06.20 16.03.49 13225 501 2082 TDP_332 Control 0
## 14 2023.06.20 16.04.56 26906 400 1595 TDP_342 Control 0
## 15 2023.06.20 16.05.46 70080 741 1883 TDP_336 Control 0
## 16 2023.06.20 16.06.37 86163 785 2951 TDP_341 Drought 0
## 17 2023.06.20 16.07.28 20400 319 1971 TDP_339 Drought 0
## 18 2023.06.20 16.08.20 27488 495 2008 TDP_332 Drought 0
## 19 2023.06.20 16.09.11 43507 259 1586 TDP_342 Drought 0
## 20 2023.06.20 16.10.03 92134 723 2376 TDP_336 Drought 0
## 21 2023.06.20 16.10.54 39895 599 2468 TDP_340 Control 0
## 22 2023.06.20 16.11.45 7641 194 552 TDP_328 Control 0
## 23 2023.06.20 16.12.37 98891 1062 2582 TDP_114 Control 0
## 24 2023.06.20 16.13.26 176858 797 3796 TDP_113 Control 0
## 25 2023.06.20 16.14.41 40578 497 3552 TDP_340 Drought 0
## 26 2023.06.20 16.15.31 15223 467 2244 TDP_328 Drought 0
## 27 2023.06.20 16.16.20 96534 988 2680 TDP_114 Drought 0
## 28 2023.06.20 16.17.13 114170 582 2976 TDP_113 Drought 0
## 29 2023.06.20 16.18.11 28407 426 1001 TDP_89 Control 0
## 30 2023.06.20 16.19.07 33483 561 2043 TDP_120 Control 0
## 31 2023.06.20 16.19.58 86307 954 1753 TDP_115 Control 0
## 32 2023.06.20 16.20.49 181533 1013 3490 TDP_123 Control 0
## 33 2023.06.20 16.21.44 19241 414 1597 TDP_91 Control 0
## 34 2023.06.20 16.22.37 37059 368 1620 TDP_89 Drought 0
## 35 2023.06.20 16.23.27 5196 92 489 TDP_120 Drought 0
## 36 2023.06.20 16.24.28 166080 1040 3225 TDP_115 Drought 0
## 37 2023.06.20 16.27.06 210674 979 2868 TDP_123 Drought 0
## 38 2023.06.20 16.28.05 4463 53 461 TDP_91 Drought 0
## 39 2023.06.20 16.29.45 34799 440 1609 TDP_320 Control 0
## 40 2023.06.20 16.30.34 33255 594 1478 TDP_317 Control 0
## 41 2023.06.20 16.31.24 9486 133 540 TDP_303 Control 0
## 42 2023.06.20 16.32.35 70096 935 2142 TDP_302 Control 0
## 43 2023.06.20 16.33.24 0 891 2856 TDP_311 Drought 0
## 44 2023.06.20 16.34.15 62709 647 3120 TDP_320 Drought 0
## 45 2023.06.20 16.35.12 184773 1072 4492 TDP_303 Drought 0
## 46 2023.06.20 16.36.23 103464 612 2164 TDP_302 Drought 0
## 47 2023.06.20 16.37.17 33951 677 1893 TDP_308 Control 0
## 48 2023.06.20 16.38.28 45871 497 1609 TDP_315 Control 0
## 49 2023.06.20 16.40.22 75073 743 1827 TDP_307 Control 0
## 50 2023.06.20 16.41.16 0 743 1687 TDP_308 Drought 0
## 51 2023.06.20 16.42.31 0 743 1687 TDP_315 Drought 0
## 52 2023.06.20 16.44.09 123129 980 2398 TDP_307 Drought 0
## 53 2023.06.20 16.45.01 187440 1005 4364 TDP_129 Control 0
## 54 2023.06.20 16.45.51 71740 943 2934 TDP_22_c Control 0
## 55 2023.06.20 16.46.42 24137 672 2193 TDP_359_c Control 0
## 56 2023.06.20 16.47.39 108705 1058 4263 TDP_129 Drought 0
## 57 2023.06.20 16.49.01 66538 1216 2234 TDP_22_c Drought 0
## 58 2023.06.20 16.49.57 6747 335 555 TDP_359_c Drought 0
## 59 2023.06.20 16.51.24 112473 689 3079 TDP_151 Control 0
## 60 2023.06.20 16.52.17 218565 1182 4909 TDP_301 Control 0
## 61 2023.06.20 16.53.13 149712 642 2685 TDP_127 Control 0
## 62 2023.06.20 16.54.03 224533 992 3079 TDP_365 Control 0
## 63 2023.06.20 16.54.55 69432 763 2766 TDP_321 Control 0
## 64 2023.06.20 16.55.45 175971 918 3331 TDP_151 Drought 0
## 65 2023.06.20 16.56.35 38919 884 1233 TDP_301 Drought 0
## 66 2023.06.20 16.57.26 87359 896 2046 TDP_127 Drought 0
## 67 2023.06.20 16.58.19 120038 795 3106 TDP_365 Drought 0
## 68 2023.06.20 16.59.28 36663 625 1236 TDP_321 Drought 0
## 69 2023.06.20 17.00.25 54521 424 3253 TDP_233 Control 0
## 70 2023.06.20 17.01.15 73615 709 1613 TDP_233 Drought 0
## 71 2023.06.20 17.32.18 64674 713 3805 TDP_317 Drought 0
## 72 2023.06.22 10.36.39 7130 327 805 TDP_345 Control 2
## 73 2023.06.22 10.38.44 10435 751 1626 TDP_324 Control 2
## 74 2023.06.22 10.41.20 36932 729 2710 TDP_327 Control 2
## 75 2023.06.22 10.42.18 14472 269 1341 TDP_334 Control 2
## 76 2023.06.22 10.44.17 86733 764 3187 TDP_327 Control 2
## 77 2023.06.22 10.46.33 9511 79 374 TDP_345 Drought 2
## 78 2023.06.22 10.49.59 18707 384 1340 TDP_324 Drought 2
## 79 2023.06.22 10.50.49 13036 330 2376 TDP_327 Drought 2
## 80 2023.06.22 10.51.39 11367 577 2399 TDP_334 Drought 2
## 81 2023.06.22 10.52.30 53283 701 2193 TDP_327 Drought 2
## 82 2023.06.22 10.53.28 62764 543 2794 TDP_341 Control 2
## 83 2023.06.22 10.54.26 8093 286 1386 TDP_339 Control 2
## 84 2023.06.22 10.55.17 11202 730 1963 TDP_332 Control 2
## 85 2023.06.22 10.56.07 33539 469 1817 TDP_342 Control 2
## 86 2023.06.22 10.57.27 58492 848 2556 TDP_336 Control 2
## 87 2023.06.22 10.58.29 90549 799 3419 TDP_341 Drought 2
## 88 2023.06.22 10.59.18 26548 499 2370 TDP_339 Drought 2
## 89 2023.06.22 11.00.08 36981 789 2850 TDP_332 Drought 2
## 90 2023.06.22 11.00.59 55940 367 2103 TDP_342 Drought 2
## 91 2023.06.22 11.01.50 89204 865 3299 TDP_336 Drought 2
## 92 2023.06.22 11.02.52 45991 646 2891 TDP_340 Control 2
## 93 2023.06.22 11.07.43 10405 304 520 TDP_328 Control 2
## 94 2023.06.22 11.08.39 127426 1164 2831 TDP_114 Control 2
## 95 2023.06.22 11.09.42 230376 822 4531 TDP_113 Control 2
## 96 2023.06.22 11.10.34 46047 587 2756 TDP_340 Drought 2
## 97 2023.06.22 11.13.34 21319 372 2143 TDP_328 Drought 2
## 98 2023.06.22 11.14.24 111452 845 3539 TDP_114 Drought 2
## 99 2023.06.22 11.15.15 127317 808 3419 TDP_113 Drought 2
## 100 2023.06.22 11.16.06 13185 367 798 TDP_89 Control 2
## 101 2023.06.22 11.16.56 37853 785 2151 TDP_120 Control 2
## 102 2023.06.22 11.17.49 115868 1117 2059 TDP_115 Control 2
## 103 2023.06.22 11.19.53 247593 929 3952 TDP_123 Control 2
## 104 2023.06.22 11.21.29 8190 383 1817 TDP_91 Control 2
## 105 2023.06.22 11.22.30 41938 392 2105 TDP_89 Drought 2
## 106 2023.06.22 11.23.47 93 275 355 TDP_120 Drought 2
## 107 2023.06.22 11.24.37 161089 1151 3159 TDP_115 Drought 2
## 108 2023.06.22 11.25.27 166997 1074 3163 TDP_123 Drought 2
## 109 2023.06.22 11.26.17 847 274 105 TDP_91 Drought 2
## 110 2023.06.22 11.27.07 4825 174 617 TDP_311 Control 2
## 111 2023.06.22 11.28.32 43746 678 2295 TDP_320 Control 2
## 112 2023.06.22 11.35.05 17878 575 1633 TDP_317 Control 2
## 113 2023.06.22 11.37.11 10897 150 597 TDP_303 Control 2
## 114 2023.06.22 11.40.07 71249 955 2815 TDP_302 Control 2
## 115 2023.06.22 11.40.57 0 895 3577 TDP_311 Drought 2
## 116 2023.06.22 11.41.47 57283 707 3462 TDP_320 Drought 2
## 117 2023.06.22 11.42.36 65733 563 3977 TDP_317 Drought 2
## 118 2023.06.22 11.43.26 232158 1106 3917 TDP_303 Drought 2
## 119 2023.06.22 11.44.26 75761 618 2196 TDP_302 Drought 2
## 120 2023.06.22 11.45.19 42780 829 2303 TDP_308 Control 2
## 121 2023.06.22 11.59.03 59670 618 2093 TDP_315 Control 2
## 122 2023.06.22 12.00.04 101853 902 2331 TDP_307 Control 2
## 123 2023.06.22 12.00.57 154 9 44 TDP_308 Drought 2
## 124 2023.06.22 12.01.48 0 7 42 TDP_315 Drought 2
## 125 2023.06.22 12.02.38 118611 1047 2498 TDP_307 Drought 2
## 126 2023.06.22 12.03.41 195682 1042 5136 TDP_129 Control 2
## 127 2023.06.22 12.04.31 111731 925 2801 TDP_22_c Control 2
## 128 2023.06.22 12.05.27 36951 770 2884 TDP_359_c Control 2
## 129 2023.06.22 12.07.29 151600 1077 4707 TDP_129 Drought 2
## 130 2023.06.22 12.08.52 61795 1182 1638 TDP_22_c Drought 2
## 131 2023.06.22 12.10.26 1479 320 360 TDP_359_c Drought 2
## 132 2023.06.22 12.11.22 157590 738 3677 TDP_151 Control 2
## 133 2023.06.22 12.12.11 206578 1166 5113 TDP_301 Control 2
## 134 2023.06.22 12.13.02 118620 757 3984 TDP_127 Control 2
## 135 2023.06.22 12.14.17 284969 1033 3581 TDP_365 Control 2
## 136 2023.06.22 12.18.18 61838 786 2966 TDP_321 Control 2
## 137 2023.06.22 12.19.09 144946 777 4829 TDP_151 Drought 2
## 138 2023.06.22 12.19.58 43876 1032 1700 TDP_301 Drought 2
## 139 2023.06.22 12.20.48 110474 992 1933 TDP_127 Drought 2
## 140 2023.06.22 12.21.41 111968 877 3479 TDP_365 Drought 2
## 141 2023.06.22 12.22.32 25495 484 2188 TDP_321 Drought 2
## 142 2023.06.22 12.24.46 45312 464 3837 TDP_233 Control 2
## 143 2023.06.22 12.25.45 66802 753 2262 TDP_233 Drought 2
## 144 2023.06.24 15.23.05 10004 519 885 TDP_345 Control 4
## 145 2023.06.24 15.23.54 21105 696 2548 TDP_324 Control 4
## 146 2023.06.24 15.25.23 66133 696 2654 TDP_327 Control 4
## 147 2023.06.24 15.26.28 16947 504 1359 TDP_334 Control 4
## 148 2023.06.24 15.27.17 126847 757 3380 TDP_327 Control 4
## 149 2023.06.24 15.28.15 1080 59 117 TDP_345 Drought 4
## 150 2023.06.24 15.29.13 15193 592 1219 TDP_324 Drought 4
## 151 2023.06.24 15.30.02 10567 377 2731 TDP_327 Drought 4
## 152 2023.06.24 15.30.57 11313 701 1378 TDP_334 Drought 4
## 153 2023.06.24 15.31.47 72361 723 2354 TDP_327 Drought 4
## 154 2023.06.24 15.32.40 89861 625 2844 TDP_341 Control 4
## 155 2023.06.24 15.33.30 10670 315 1742 TDP_339 Control 4
## 156 2023.06.24 15.34.21 26226 523 2647 TDP_332 Control 4
## 157 2023.06.24 15.35.13 81257 635 2559 TDP_342 Control 4
## 158 2023.06.24 15.36.12 151829 710 2570 TDP_336 Control 4
## 159 2023.06.24 15.37.05 103344 710 3727 TDP_341 Drought 4
## 160 2023.06.24 15.37.55 44669 614 2651 TDP_339 Drought 4
## 161 2023.06.24 15.38.45 49039 873 3003 TDP_332 Drought 4
## 162 2023.06.24 15.39.35 73600 441 2445 TDP_342 Drought 4
## 163 2023.06.24 15.40.25 150720 629 2870 TDP_336 Drought 4
## 164 2023.06.24 15.41.15 97491 719 3274 TDP_340 Control 4
## 165 2023.06.24 15.42.06 7727 69 1383 TDP_328 Control 4
## 166 2023.06.24 15.42.56 182228 1179 3276 TDP_114 Control 4
## 167 2023.06.24 15.43.47 307257 858 4952 TDP_113 Control 4
## 168 2023.06.24 15.44.38 91265 612 3169 TDP_340 Drought 4
## 169 2023.06.24 15.45.45 25054 617 1495 TDP_328 Drought 4
## 170 2023.06.24 15.46.37 151315 852 3868 TDP_114 Drought 4
## 171 2023.06.24 15.47.28 142953 799 3837 TDP_113 Drought 4
## 172 2023.06.24 15.48.20 5748 182 465 TDP_89 Control 4
## 173 2023.06.24 15.51.14 74887 1080 2644 TDP_120 Control 4
## 174 2023.06.24 15.52.05 121654 941 2213 TDP_115 Control 4
## 175 2023.06.24 15.52.59 425713 679 4423 TDP_123 Control 4
## 176 2023.06.24 15.53.49 12718 435 1975 TDP_91 Control 4
## 177 2023.06.24 15.54.41 143037 645 2257 TDP_89 Drought 4
## 178 2023.06.24 15.57.51 193010 1201 3229 TDP_123 Drought 4
## 179 2023.06.24 15.58.49 8 1169 3849 TDP_91 Drought 4
## 180 2023.06.24 15.59.38 20972 308 1128 TDP_311 Control 4
## 181 2023.06.24 16.00.47 104407 662 2392 TDP_320 Control 4
## 182 2023.06.24 16.01.37 42069 659 2067 TDP_317 Control 4
## 183 2023.06.24 16.02.26 9532 162 741 TDP_303 Control 4
## 184 2023.06.24 16.03.16 145482 621 3215 TDP_302 Control 4
## 185 2023.06.24 16.04.06 0 547 3906 TDP_311 Drought 4
## 186 2023.06.24 16.05.15 123156 650 1801 TDP_320 Drought 4
## 187 2023.06.24 16.06.05 71881 706 3943 TDP_317 Drought 4
## 188 2023.06.24 16.06.56 237966 1072 4295 TDP_303 Drought 4
## 189 2023.06.24 16.07.46 169393 809 2714 TDP_302 Drought 4
## 190 2023.06.24 16.08.37 108785 1054 2373 TDP_308 Control 4
## 191 2023.06.24 16.10.00 107401 683 2890 TDP_315 Control 4
## 192 2023.06.24 16.10.52 184680 979 2935 TDP_307 Control 4
## 193 2023.06.24 16.12.01 1207 51 252 TDP_308 Drought 4
## 194 2023.06.24 16.13.23 0 51 518 TDP_315 Drought 4
## 195 2023.06.24 16.14.14 173676 1011 2773 TDP_307 Drought 4
## 196 2023.06.24 16.15.20 298794 1195 5082 TDP_129 Control 4
## 197 2023.06.24 16.17.23 155773 940 3165 TDP_22_c Control 4
## 198 2023.06.24 16.18.14 36565 727 2946 TDP_359_c Control 4
## 199 2023.06.24 16.19.03 225089 868 4520 TDP_129 Drought 4
## 200 2023.06.24 16.19.54 20171 664 1424 TDP_22_c Drought 4
## 201 2023.06.24 16.22.55 322696 773 3775 TDP_151 Control 4
## 202 2023.06.24 16.23.45 285048 1252 5278 TDP_301 Control 4
## 203 2023.06.24 16.24.35 178530 925 3910 TDP_127 Control 4
## 204 2023.06.24 16.25.28 466898 1152 3730 TDP_365 Control 4
## 205 2023.06.24 16.26.25 85052 766 3522 TDP_321 Control 4
## 206 2023.06.24 16.27.14 188082 800 4429 TDP_151 Drought 4
## 207 2023.06.24 16.28.03 60299 986 1706 TDP_301 Drought 4
## 208 2023.06.24 16.28.53 112398 940 1991 TDP_127 Drought 4
## 209 2023.06.24 16.29.46 208631 922 3936 TDP_365 Drought 4
## 210 2023.06.24 16.30.46 30349 548 1686 TDP_321 Drought 4
## 211 2023.06.24 16.31.52 57684 550 3630 TDP_233 Control 4
## 212 2023.06.24 16.33.50 86098 753 2408 TDP_233 Drought 4
## 213 2023.06.26 10.01.31 13314 568 1020 TDP_345 Control 6
## 214 2023.06.26 10.05.36 33338 721 2171 TDP_324 Control 6
## 215 2023.06.26 10.06.30 86925 713 3089 TDP_327 Control 6
## 216 2023.06.26 10.07.20 22073 598 1660 TDP_334 Control 6
## 217 2023.06.26 10.08.20 205588 819 3068 TDP_327 Control 6
## 218 2023.06.26 10.10.03 32804 603 1765 TDP_324 Drought 6
## 219 2023.06.26 10.10.52 13155 539 3235 TDP_327 Drought 6
## 220 2023.06.26 10.11.50 16787 677 1767 TDP_334 Drought 6
## 221 2023.06.26 10.12.58 63212 691 2499 TDP_327 Drought 6
## 222 2023.06.26 10.14.13 133661 647 3189 TDP_341 Control 6
## 223 2023.06.26 10.21.51 16196 367 1543 TDP_339 Control 6
## 224 2023.06.26 10.23.53 32541 524 3063 TDP_332 Control 6
## 225 2023.06.26 10.24.43 154915 753 3564 TDP_342 Control 6
## 226 2023.06.26 10.26.15 184200 898 3115 TDP_336 Control 6
## 227 2023.06.26 10.27.05 151248 829 3867 TDP_341 Drought 6
## 228 2023.06.26 10.27.54 86302 743 2889 TDP_339 Drought 6
## 229 2023.06.26 10.28.46 74786 850 3649 TDP_332 Drought 6
## 230 2023.06.26 10.29.36 99350 584 3077 TDP_342 Drought 6
## 231 2023.06.26 10.30.30 176065 672 3331 TDP_336 Drought 6
## 232 2023.06.26 10.31.33 178868 941 3398 TDP_340 Control 6
## 233 2023.06.26 10.32.37 7202 131 835 TDP_328 Control 6
## 234 2023.06.26 10.33.51 256580 1264 3709 TDP_114 Control 6
## 235 2023.06.26 10.34.42 417988 826 4967 TDP_113 Control 6
## 236 2023.06.26 10.35.54 148090 789 3351 TDP_340 Drought 6
## 237 2023.06.26 10.36.44 39435 671 1727 TDP_328 Drought 6
## 238 2023.06.26 10.37.35 193325 907 3801 TDP_114 Drought 6
## 239 2023.06.26 10.38.32 207625 758 4006 TDP_113 Drought 6
## 240 2023.06.26 10.40.48 131783 991 2680 TDP_120 Control 6
## 241 2023.06.26 10.41.45 149867 994 2023 TDP_115 Control 6
## 242 2023.06.26 10.42.51 509020 917 4763 TDP_123 Control 6
## 243 2023.06.26 10.43.42 17599 437 2498 TDP_91 Control 6
## 244 2023.06.26 10.44.45 102173 645 2713 TDP_89 Drought 6
## 245 2023.06.26 10.45.37 0 591 2184 TDP_120 Drought 6
## 246 2023.06.26 10.46.27 167815 994 3534 TDP_115 Drought 6
## 247 2023.06.26 10.47.47 254088 1170 2927 TDP_123 Drought 6
## 248 2023.06.26 10.48.37 0 966 2968 TDP_91 Drought 6
## 249 2023.06.26 10.49.28 21309 331 1343 TDP_311 Control 6
## 250 2023.06.26 10.50.19 221645 669 2615 TDP_320 Control 6
## 251 2023.06.26 10.51.08 73394 828 2886 TDP_317 Control 6
## 252 2023.06.26 10.51.58 19695 258 1225 TDP_303 Control 6
## 253 2023.06.26 10.52.59 169537 643 3686 TDP_302 Control 6
## 254 2023.06.26 10.55.39 0 643 4354 TDP_311 Drought 6
## 255 2023.06.26 11.00.21 121737 625 2130 TDP_320 Drought 6
## 256 2023.06.26 11.02.11 96391 594 4678 TDP_317 Drought 6
## 257 2023.06.26 11.03.18 288350 1154 4413 TDP_303 Drought 6
## 258 2023.06.26 11.04.15 136086 670 2939 TDP_302 Drought 6
## 259 2023.06.26 11.05.15 186221 1135 2516 TDP_308 Control 6
## 260 2023.06.26 11.06.05 176023 824 3476 TDP_315 Control 6
## 261 2023.06.26 11.06.57 276317 941 3318 TDP_307 Control 6
## 262 2023.06.26 11.07.47 5400 110 526 TDP_308 Drought 6
## 263 2023.06.26 11.08.38 0 84 511 TDP_315 Drought 6
## 264 2023.06.26 11.09.42 308042 1071 3439 TDP_307 Drought 6
## 265 2023.06.26 11.10.37 558370 1249 5194 TDP_129 Control 6
## 266 2023.06.26 11.12.11 167106 971 3021 TDP_22_c Control 6
## 267 2023.06.26 11.13.00 57845 716 3046 TDP_359_c Control 6
## 268 2023.06.26 11.13.50 260003 970 4976 TDP_129 Drought 6
## 269 2023.06.26 11.15.25 11257 542 1262 TDP_22_c Drought 6
## 270 2023.06.26 11.17.07 417584 803 4314 TDP_151 Control 6
## 271 2023.06.26 11.18.07 383782 1267 5428 TDP_301 Control 6
## 272 2023.06.26 11.18.57 306103 912 4292 TDP_127 Control 6
## 273 2023.06.26 11.20.23 622081 1260 4507 TDP_365 Control 6
## 274 2023.06.26 11.21.28 114863 808 4098 TDP_321 Control 6
## 275 2023.06.26 11.22.27 251795 811 4054 TDP_151 Drought 6
## 276 2023.06.26 11.23.56 61267 1071 1843 TDP_301 Drought 6
## 277 2023.06.26 11.24.53 88639 936 2113 TDP_127 Drought 6
## 278 2023.06.26 11.25.44 347042 993 4320 TDP_365 Drought 6
## 279 2023.06.26 11.27.47 32919 511 1606 TDP_321 Drought 6
## 280 2023.06.26 11.30.34 48065 299 4303 TDP_233 Control 6
## 281 2023.06.26 11.32.50 115118 843 3180 TDP_233 Drought 6
## 282 2023.06.28 09.39.25 26866 599 1006 TDP_345 Control 8
## 283 2023.06.28 09.40.18 45968 768 2414 TDP_324 Control 8
## 284 2023.06.28 09.46.02 155419 702 3655 TDP_327 Control 8
## 285 2023.06.28 09.47.17 35677 763 1887 TDP_334 Control 8
## 286 2023.06.28 09.48.12 299040 843 3328 TDP_327 Control 8
## 287 2023.06.28 09.50.44 43766 743 2374 TDP_324 Drought 8
## 288 2023.06.28 09.51.34 36231 682 3611 TDP_327 Drought 8
## 289 2023.06.28 09.52.27 35875 764 1826 TDP_334 Drought 8
## 290 2023.06.28 09.53.17 89427 678 2356 TDP_327 Drought 8
## 291 2023.06.28 09.57.31 205327 644 3481 TDP_341 Control 8
## 292 2023.06.28 10.02.03 28267 414 1874 TDP_339 Control 8
## 293 2023.06.28 10.03.41 57975 815 3615 TDP_332 Control 8
## 294 2023.06.28 10.04.30 296771 619 3906 TDP_342 Control 8
## 295 2023.06.28 10.05.57 393237 1008 3420 TDP_336 Control 8
## 296 2023.06.28 10.18.01 184187 759 3611 TDP_341 Drought 8
## 297 2023.06.28 10.19.44 127064 822 3334 TDP_339 Drought 8
## 298 2023.06.28 10.20.36 109040 1040 4298 TDP_332 Drought 8
## 299 2023.06.28 10.22.19 152346 655 3637 TDP_342 Drought 8
## 300 2023.06.28 10.23.42 283923 655 3483 TDP_336 Drought 8
## 301 2023.06.28 10.24.36 293908 880 3315 TDP_340 Control 8
## 302 2023.06.28 10.25.39 1307 47 207 TDP_328 Control 8
## 303 2023.06.28 10.27.15 420248 1410 4142 TDP_114 Control 8
## 304 2023.06.28 10.28.28 641557 1025 5067 TDP_113 Control 8
## 305 2023.06.28 10.29.54 161684 722 3776 TDP_340 Drought 8
## 306 2023.06.28 10.30.57 67690 865 1809 TDP_328 Drought 8
## 307 2023.06.28 10.31.49 288024 924 4189 TDP_114 Drought 8
## 308 2023.06.28 10.33.40 275789 633 4152 TDP_113 Drought 8
## 309 2023.06.28 10.34.35 15 57 40 TDP_89 Control 8
## 310 2023.06.28 10.35.25 140652 956 2983 TDP_120 Control 8
## 311 2023.06.28 10.36.37 138568 1068 2393 TDP_115 Control 8
## 312 2023.06.28 10.37.32 558353 787 4976 TDP_123 Control 8
## 313 2023.06.28 10.38.23 21409 588 2484 TDP_91 Control 8
## 314 2023.06.28 10.39.15 144584 771 3312 TDP_89 Drought 8
## 315 2023.06.28 10.40.25 0 646 3367 TDP_120 Drought 8
## 316 2023.06.28 10.44.33 204228 1066 3572 TDP_115 Drought 8
## 317 2023.06.28 10.45.47 248373 1084 2821 TDP_123 Drought 8
## 318 2023.06.28 10.47.02 0 851 2646 TDP_91 Drought 8
## 319 2023.06.28 10.47.52 28879 515 1891 TDP_311 Control 8
## 320 2023.06.28 10.48.44 266228 869 3109 TDP_320 Control 8
## 321 2023.06.28 10.49.37 93367 817 3150 TDP_317 Control 8
## 322 2023.06.28 10.53.06 0 781 2849 TDP_311 Drought 8
## 323 2023.06.28 10.54.18 48695 352 1819 TDP_303 Control 8
## 324 2023.06.28 10.55.12 271545 862 4034 TDP_302 Control 8
## 325 2023.06.28 10.56.09 133041 704 2230 TDP_320 Drought 8
## 326 2023.06.28 10.56.59 149265 664 4335 TDP_317 Drought 8
## 327 2023.06.28 10.58.01 295334 1213 4895 TDP_303 Drought 8
## 328 2023.06.28 10.59.04 179295 737 3308 TDP_302 Drought 8
## 329 2023.06.28 11.00.08 212343 1180 3641 TDP_308 Control 8
## 330 2023.06.28 12.12.36 268396 1054 3951 TDP_315 Control 8
## 331 2023.06.28 12.14.36 415814 1124 3740 TDP_307 Control 8
## 332 2023.06.28 12.15.36 8564 175 893 TDP_308 Drought 8
## 333 2023.06.28 12.16.38 0 136 896 TDP_315 Drought 8
## 334 2023.06.28 12.17.27 406242 1266 4231 TDP_307 Drought 8
## 335 2023.06.28 12.18.21 851999 1203 5386 TDP_129 Control 8
## 336 2023.06.28 12.19.18 136025 1020 3005 TDP_22_c Control 8
## 337 2023.06.28 12.20.51 83616 728 3134 TDP_359_c Control 8
## 338 2023.06.28 12.22.06 314870 1249 5470 TDP_129 Drought 8
## 339 2023.06.28 12.25.44 665014 850 5501 TDP_151 Control 8
## 340 2023.06.28 12.26.34 644833 1230 5774 TDP_301 Control 8
## 341 2023.06.28 12.27.26 532067 920 5052 TDP_127 Control 8
## 342 2023.06.28 12.28.42 930604 1371 4309 TDP_365 Control 8
## 343 2023.06.28 12.30.17 169914 810 4544 TDP_321 Control 8
## 344 2023.06.28 12.31.14 276897 810 4076 TDP_151 Drought 8
## 345 2023.06.28 12.33.47 78880 931 1843 TDP_127 Drought 8
## 346 2023.06.28 12.35.20 337305 1109 4555 TDP_365 Drought 8
## 347 2023.06.28 12.36.08 40128 524 1544 TDP_321 Drought 8
## 348 2023.06.28 12.36.56 55024 440 3793 TDP_233 Control 8
## 349 2023.06.28 12.37.50 234976 875 3221 TDP_233 Drought 8
## 350 2023.06.28 13.34.07 102105 1136 2018 TDP_301 Drought 8
## 351 2023.06.30 09.48.45 35529 575 941 TDP_345 Control 10
## 352 2023.06.30 09.49.46 111174 713 3632 TDP_324 Control 10
## 353 2023.06.30 09.51.56 232090 931 3930 TDP_327 Control 10
## 354 2023.06.30 09.52.59 65759 813 1945 TDP_334 Control 10
## 355 2023.06.30 09.53.50 363668 874 3286 TDP_327 Control 10
## 356 2023.06.30 09.54.43 0 849 3514 TDP_345 Drought 10
## 357 2023.06.30 09.56.14 75316 807 2637 TDP_324 Drought 10
## 358 2023.06.30 09.57.06 66151 731 3931 TDP_327 Drought 10
## 359 2023.06.30 09.57.57 41761 876 2115 TDP_334 Drought 10
## 360 2023.06.30 09.58.47 120713 688 2638 TDP_327 Drought 10
## 361 2023.06.30 10.01.08 260124 656 3943 TDP_341 Control 10
## 362 2023.06.30 10.01.57 36782 475 2184 TDP_339 Control 10
## 363 2023.06.30 10.03.01 106755 885 4364 TDP_332 Control 10
## 364 2023.06.30 10.03.57 579922 873 4568 TDP_342 Control 10
## 365 2023.06.30 10.04.48 640479 1097 3942 TDP_336 Control 10
## 366 2023.06.30 10.05.40 221143 859 3955 TDP_341 Drought 10
## 367 2023.06.30 10.06.40 228912 779 3738 TDP_339 Drought 10
## 368 2023.06.30 10.07.31 192368 994 4372 TDP_332 Drought 10
## 369 2023.06.30 10.08.34 247783 993 4214 TDP_342 Drought 10
## 370 2023.06.30 10.09.25 388708 727 4143 TDP_336 Drought 10
## 371 2023.06.30 10.10.15 434288 1048 3751 TDP_340 Control 10
## 372 2023.06.30 10.12.22 0 1048 4165 TDP_328 Control 10
## 373 2023.06.30 10.13.15 602418 1093 5159 TDP_114 Control 10
## 374 2023.06.30 10.14.08 597637 971 4808 TDP_113 Control 10
## 375 2023.06.30 10.23.18 272502 739 4047 TDP_340 Drought 10
## 376 2023.06.30 10.24.06 85782 794 2190 TDP_328 Drought 10
## 377 2023.06.30 10.25.35 435551 1112 4365 TDP_114 Drought 10
## 378 2023.06.30 10.28.57 429880 595 4203 TDP_113 Drought 10
## 379 2023.06.30 10.30.54 171605 1061 3313 TDP_120 Control 10
## 380 2023.06.30 10.31.53 96123 984 2409 TDP_115 Control 10
## 381 2023.06.30 10.33.35 521384 796 4941 TDP_123 Control 10
## 382 2023.06.30 10.34.52 39030 695 2689 TDP_91 Control 10
## 383 2023.06.30 10.35.48 268722 716 3808 TDP_89 Drought 10
## 384 2023.06.30 10.37.01 0 706 3444 TDP_120 Drought 10
## 385 2023.06.30 10.40.48 247439 1179 3647 TDP_115 Drought 10
## 386 2023.06.30 10.41.38 141893 1044 2773 TDP_123 Drought 10
## 387 2023.06.30 10.43.11 0 834 2751 TDP_91 Drought 10
## 388 2023.06.30 10.44.08 57506 561 2203 TDP_311 Control 10
## 389 2023.06.30 10.45.05 361815 800 3655 TDP_320 Control 10
## 390 2023.06.30 10.46.08 170084 851 3707 TDP_317 Control 10
## 391 2023.06.30 10.47.04 106116 592 2302 TDP_303 Control 10
## 392 2023.06.30 10.48.08 557669 777 4499 TDP_302 Control 10
## 393 2023.06.30 10.48.57 0 777 5579 TDP_311 Drought 10
## 394 2023.06.30 10.49.47 160716 731 2223 TDP_320 Drought 10
## 395 2023.06.30 10.50.38 165049 718 4603 TDP_317 Drought 10
## 396 2023.06.30 10.51.28 398941 1254 4963 TDP_303 Drought 10
## 397 2023.06.30 10.52.18 248179 807 3487 TDP_302 Drought 10
## 398 2023.06.30 10.53.22 376715 1253 4047 TDP_308 Control 10
## 399 2023.06.30 10.54.12 437696 1050 4395 TDP_315 Control 10
## 400 2023.06.30 10.55.05 572116 1214 3731 TDP_307 Control 10
## 401 2023.06.30 10.55.58 16748 224 964 TDP_308 Drought 10
## 402 2023.06.30 10.56.49 0 197 896 TDP_315 Drought 10
## 403 2023.06.30 10.57.39 516265 1128 4428 TDP_307 Drought 10
## 404 2023.06.30 10.58.29 1054640 1304 5607 TDP_129 Control 10
## 405 2023.06.30 10.59.19 144786 1047 3147 TDP_22_c Control 10
## 406 2023.06.30 11.00.09 122655 990 3226 TDP_359_c Control 10
## 407 2023.06.30 11.01.00 495527 1191 5438 TDP_129 Drought 10
## 408 2023.06.30 11.01.50 4184 376 1542 TDP_22_c Drought 10
## 409 2023.06.30 11.03.58 0 259 2191 TDP_359_c Drought 10
## 410 2023.06.30 11.04.49 846200 1109 5417 TDP_151 Control 10
## 411 2023.06.30 11.05.38 931045 1198 5594 TDP_301 Control 10
## 412 2023.06.30 11.06.28 824793 988 4816 TDP_127 Control 10
## 413 2023.06.30 11.07.18 1030030 1229 5944 TDP_365 Control 10
## 414 2023.06.30 11.08.14 232840 801 4272 TDP_321 Control 10
## 415 2023.06.30 11.09.04 401663 827 4014 TDP_151 Drought 10
## 416 2023.06.30 11.09.54 107161 1217 2339 TDP_301 Drought 10
## 417 2023.06.30 11.11.34 62500 973 1862 TDP_127 Drought 10
## 418 2023.06.30 11.12.33 411886 1362 5054 TDP_365 Drought 10
## 419 2023.06.30 11.13.23 30970 556 1285 TDP_321 Drought 10
## 420 2023.06.30 11.32.03 73892 492 3653 TDP_233 Control 10
## 421 2023.06.30 11.33.26 201474 606 3994 TDP_233 Drought 10
## 422 2023.07.02 13.40.01 35360 832 876 TDP_345 Control 12
## 423 2023.07.02 13.41.13 160792 695 4486 TDP_324 Control 12
## 424 2023.07.02 13.42.03 378627 864 4550 TDP_327 Control 12
## 425 2023.07.02 13.43.06 84222 835 2229 TDP_334 Control 12
## 426 2023.07.02 13.45.38 537599 960 4046 TDP_327 Control 12
## 427 2023.07.02 13.46.43 0 945 4473 TDP_345 Drought 12
## 428 2023.07.02 13.50.07 110607 780 3249 TDP_324 Drought 12
## 429 2023.07.02 13.50.59 119994 796 3777 TDP_327 Drought 12
## 430 2023.07.02 13.52.03 65347 952 2928 TDP_334 Drought 12
## 431 2023.07.02 13.52.54 261303 1004 2819 TDP_327 Drought 12
## 432 2023.07.02 13.53.47 391770 903 4393 TDP_341 Control 12
## 433 2023.07.02 13.54.36 43621 615 2338 TDP_339 Control 12
## 434 2023.07.02 13.56.14 229716 838 4869 TDP_332 Control 12
## 435 2023.07.02 13.57.08 803316 822 5907 TDP_342 Control 12
## 436 2023.07.02 13.58.07 1040121 1019 4652 TDP_336 Control 12
## 437 2023.07.02 14.00.12 335645 825 4458 TDP_341 Drought 12
## 438 2023.07.02 14.01.02 361953 882 3524 TDP_339 Drought 12
## 439 2023.07.02 14.02.11 374240 1150 4929 TDP_332 Drought 12
## 440 2023.07.02 14.03.01 489655 1074 5183 TDP_342 Drought 12
## 441 2023.07.02 14.03.54 627065 811 5124 TDP_336 Drought 12
## 442 2023.07.02 14.04.44 691045 1125 3987 TDP_340 Control 12
## 443 2023.07.02 14.05.36 0 1036 3969 TDP_328 Control 12
## 444 2023.07.02 14.06.26 887997 990 4697 TDP_114 Control 12
## 445 2023.07.02 14.07.21 661537 699 5717 TDP_113 Control 12
## 446 2023.07.02 14.08.11 419474 915 4285 TDP_340 Drought 12
## 447 2023.07.02 14.09.05 145088 828 2632 TDP_328 Drought 12
## 448 2023.07.02 14.09.55 869375 1255 4402 TDP_114 Drought 12
## 449 2023.07.02 14.10.52 778064 687 3959 TDP_113 Drought 12
## 450 2023.07.02 14.11.44 0 687 4557 TDP_89 Control 12
## 451 2023.07.02 14.12.36 178642 1091 3449 TDP_120 Control 12
## 452 2023.07.02 14.13.28 86780 993 1894 TDP_115 Control 12
## 453 2023.07.02 14.14.43 462741 865 4334 TDP_123 Control 12
## 454 2023.07.02 14.15.35 85646 717 2954 TDP_91 Control 12
## 455 2023.07.02 14.16.28 335834 682 4123 TDP_89 Drought 12
## 456 2023.07.02 14.17.27 0 620 2807 TDP_120 Drought 12
## 457 2023.07.02 14.19.10 275574 1192 3473 TDP_115 Drought 12
## 458 2023.07.02 14.20.03 101183 988 2355 TDP_123 Drought 12
## 459 2023.07.02 14.21.06 0 821 2079 TDP_91 Drought 12
## 460 2023.07.02 14.21.58 66359 367 2280 TDP_311 Control 12
## 461 2023.07.02 14.22.49 413402 672 4308 TDP_320 Control 12
## 462 2023.07.02 14.24.02 57597 247 1852 TDP_311 Control 12
## 463 2023.07.02 14.25.41 810858 1064 4942 TDP_302 Control 12
## 464 2023.07.02 14.27.24 279197 582 3184 TDP_303 Control 12
## 465 2023.07.02 14.28.29 853926 1079 4654 TDP_302 Control 12
## 466 2023.07.02 14.29.39 209886 951 2491 TDP_320 Drought 12
## 467 2023.07.02 14.30.46 190292 719 5190 TDP_317 Drought 12
## 468 2023.07.02 14.31.37 600716 1128 5239 TDP_303 Drought 12
## 469 2023.07.02 14.32.28 337668 744 3668 TDP_302 Drought 12
## 470 2023.07.02 14.33.18 587634 1029 4697 TDP_308 Control 12
## 471 2023.07.02 14.34.09 702478 1083 5802 TDP_315 Control 12
## 472 2023.07.02 14.35.01 684924 1221 3519 TDP_307 Control 12
## 473 2023.07.02 14.35.52 29436 425 1721 TDP_308 Drought 12
## 474 2023.07.02 14.36.43 0 227 1211 TDP_315 Drought 12
## 475 2023.07.02 14.37.33 689335 1163 4618 TDP_307 Drought 12
## 476 2023.07.02 14.38.24 1283261 1294 5903 TDP_129 Control 12
## 477 2023.07.02 14.39.20 163392 1044 3123 TDP_22_c Control 12
## 478 2023.07.02 14.40.33 152675 935 3569 TDP_359_c Control 12
## 479 2023.07.02 14.41.29 665280 1151 5385 TDP_129 Drought 12
## 480 2023.07.02 14.44.04 0 965 4942 TDP_359_c Drought 12
## 481 2023.07.02 14.45.05 1144278 1151 5414 TDP_151 Control 12
## 482 2023.07.02 14.46.16 1172142 1254 6159 TDP_301 Control 12
## 483 2023.07.02 14.47.45 930674 926 5338 TDP_127 Control 12
## 484 2023.07.02 14.48.36 1458031 1273 6309 TDP_365 Control 12
## 485 2023.07.02 14.49.28 281803 806 4485 TDP_321 Control 12
## 486 2023.07.02 14.50.43 537077 889 4096 TDP_151 Drought 12
## 487 2023.07.02 14.51.34 216817 1000 3074 TDP_301 Drought 12
## 488 2023.07.02 14.52.27 52793 1042 1575 TDP_127 Drought 12
## 489 2023.07.02 14.53.27 763043 1235 5498 TDP_365 Drought 12
## 490 2023.07.02 14.54.20 26057 481 1201 TDP_321 Drought 12
## 491 2023.07.02 14.55.18 68599 482 3916 TDP_233 Control 12
## 492 2023.07.02 14.56.25 248375 1011 4254 TDP_233 Drought 12
## 493 2023.07.04 11.40.47 30505 852 981 TDP_345 Control 14
## 494 2023.07.04 11.41.54 239212 780 4818 TDP_324 Control 14
## 495 2023.07.04 11.42.45 395881 987 5329 TDP_327 Control 14
## 496 2023.07.04 11.43.45 134688 1091 2713 TDP_334 Control 14
## 497 2023.07.04 11.44.46 546513 950 4577 TDP_327 Control 14
## 498 2023.07.04 11.45.55 151854 921 3481 TDP_324 Drought 14
## 499 2023.07.04 11.48.13 87735 812 3929 TDP_327 Drought 14
## 500 2023.07.04 11.49.04 105421 817 3191 TDP_334 Drought 14
## 501 2023.07.04 11.49.52 309299 771 2981 TDP_327 Drought 14
## 502 2023.07.04 11.51.45 512940 926 4359 TDP_341 Control 14
## 503 2023.07.04 11.52.57 69937 694 2357 TDP_339 Control 14
## 504 2023.07.04 11.53.46 330780 1021 4857 TDP_332 Control 14
## 505 2023.07.04 11.55.09 1138118 977 5821 TDP_342 Control 14
## 506 2023.07.04 11.56.30 1418102 1101 5369 TDP_336 Control 14
## 507 2023.07.04 11.57.49 399277 945 4666 TDP_341 Drought 14
## 508 2023.07.04 11.58.51 534087 866 3773 TDP_339 Drought 14
## 509 2023.07.04 11.59.42 693930 1272 5171 TDP_332 Drought 14
## 510 2023.07.04 12.00.48 818255 1079 4980 TDP_342 Drought 14
## 511 2023.07.04 12.02.06 943216 980 4727 TDP_336 Drought 14
## 512 2023.07.04 12.03.08 853121 1109 4007 TDP_340 Control 14
## 513 2023.07.04 12.07.26 1060775 1161 5288 TDP_114 Control 14
## 514 2023.07.04 12.08.15 573370 668 5715 TDP_113 Control 14
## 515 2023.07.04 12.09.21 623209 911 4603 TDP_340 Drought 14
## 516 2023.07.04 12.10.10 204477 839 2633 TDP_328 Drought 14
## 517 2023.07.04 12.10.59 1059067 1034 4464 TDP_114 Drought 14
## 518 2023.07.04 12.11.52 734440 790 4878 TDP_113 Drought 14
## 519 2023.07.04 12.14.39 261197 1171 3924 TDP_120 Control 14
## 520 2023.07.04 12.15.28 90554 1021 2000 TDP_115 Control 14
## 521 2023.07.04 12.16.18 407751 897 4510 TDP_123 Control 14
## 522 2023.07.04 12.17.08 123994 820 3281 TDP_91 Control 14
## 523 2023.07.04 12.17.57 430300 733 4344 TDP_89 Drought 14
## 524 2023.07.04 12.21.54 223534 1295 3201 TDP_115 Drought 14
## 525 2023.07.04 12.24.18 86053 960 2509 TDP_123 Drought 14
## 526 2023.07.04 12.25.57 66798 265 1937 TDP_311 Control 14
## 527 2023.07.04 12.27.16 672434 691 4130 TDP_320 Control 14
## 528 2023.07.04 12.28.07 453280 930 4045 TDP_317 Control 14
## 529 2023.07.04 12.29.00 380304 568 3993 TDP_303 Control 14
## 530 2023.07.04 12.31.21 1121231 1145 5029 TDP_302 Control 14
## 531 2023.07.04 12.34.59 269384 867 2935 TDP_320 Drought 14
## 532 2023.07.04 12.36.21 305554 763 4823 TDP_317 Drought 14
## 533 2023.07.04 12.37.50 646543 1284 5055 TDP_303 Drought 14
## 534 2023.07.04 12.39.27 386386 865 4416 TDP_302 Drought 14
## 535 2023.07.04 12.41.50 915678 1084 5284 TDP_308 Control 14
## 536 2023.07.04 12.44.04 1072649 1211 5976 TDP_315 Control 14
## 537 2023.07.04 12.45.31 716015 1300 3758 TDP_307 Control 14
## 538 2023.07.04 12.46.21 66415 343 1788 TDP_308 Drought 14
## 539 2023.07.04 12.48.32 806567 1166 4718 TDP_307 Drought 14
## 540 2023.07.04 12.49.23 1539734 1345 5552 TDP_129 Control 14
## 541 2023.07.04 12.50.13 156537 975 3091 TDP_22_c Control 14
## 542 2023.07.04 12.51.39 219910 833 3881 TDP_359_c Control 14
## 543 2023.07.04 12.52.41 807785 1368 5523 TDP_129 Drought 14
## 544 2023.07.04 12.56.05 1403599 1169 5886 TDP_151 Control 14
## 545 2023.07.04 12.56.56 1510395 1336 6807 TDP_301 Control 14
## 546 2023.07.04 12.57.46 1273089 1015 5816 TDP_127 Control 14
## 547 2023.07.04 12.59.55 2077054 1990 6952 TDP_365 Control 14
## 548 2023.07.04 13.01.30 259701 939 4462 TDP_321 Control 14
## 549 2023.07.04 13.02.20 740733 782 4117 TDP_151 Drought 14
## 550 2023.07.04 13.03.09 230551 931 3866 TDP_301 Drought 14
## 551 2023.07.04 13.04.01 34284 857 1285 TDP_127 Drought 14
## 552 2023.07.04 13.04.52 925967 1205 5939 TDP_365 Drought 14
## 553 2023.07.04 13.05.41 23713 398 1563 TDP_321 Drought 14
## 554 2023.07.04 13.06.30 62603 452 4087 TDP_233 Control 14
## 555 2023.07.04 13.07.20 263107 1211 5326 TDP_233 Drought 14plot(data_sum$Area.sum ~ data_sum$days)
# write.csv(data_sum, "data_sum.csv")data_sum$Ex <- 7Assign levels
Drop rows with missing values
cumm_data_clean <- data_sum %>% drop_na()
cumm_data_clean$Treatment <- factor(cumm_data_clean$Treatment, levels = c("Control","Drought"))We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
cumm_data_clean$sid <- paste0(cumm_data_clean$Accession, "_", substr(cumm_data_clean$Treatment, 1, 1))Ex7_Write cumm_data_clean into new file as final_Ex7
write.csv(cumm_data_clean, "final_Ex7.csv") ################################################## EX_8 ########################################Loading all days processed images from Ex8
d0 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex8_Results\\Results_Ex8_071123.csv",'show_col_types' = 'FALSE')
d2 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex8_Results\\Results_Ex8_071323.csv",'show_col_types' = 'FALSE')
d4 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex8_Results\\Results_Ex8_071523.csv",'show_col_types' = 'FALSE')
d6 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex8_Results\\Results_Ex8_071723.csv",'show_col_types' = 'FALSE')
d8 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex8_Results\\Results_Ex8_071923.csv", 'show_col_types' = 'FALSE')
d10 <-read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex8_Results\\Results_Ex8_072123.csv",'show_col_types' = 'FALSE')
d12 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex8_Results\\Results_Ex8_072323.csv", 'show_col_types' = 'FALSE')
d14 <- read_csv("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex8_Results\\Results_Ex8_072523.csv",'show_col_types' = 'FALSE')Bind all days together
comb <- rbind(d0, d2, d4, d6, d8, d10, d12,d14)Load potnames8 which has pot number,pot tag, accession names and treatment.
potnames8 <- read_xlsx("C:\\Users\\Aparna\\Desktop\\ImageResults\\Ex8_Results\\potnames8.xlsx")Combining two sheets by matching potnumber and pot tag
h <- inner_join(comb,potnames8,by=c("Pot_no"="PotTag"))
h## # A tibble: 7,378 x 8
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr>
## 1 2023.07.11-13.43.~ 24105 745 532 1 1 TDP_351 Control
## 2 2023.07.11-13.43.~ 18792 751 383 1 1 TDP_351 Control
## 3 2023.07.11-13.43.~ 31567 764 399 1 1 TDP_351 Control
## 4 2023.07.11-13.43.~ 28047 726 595 1 1 TDP_351 Control
## 5 2023.07.11-13.43.~ 18167 647 443 1 1 TDP_351 Control
## 6 2023.07.11-13.43.~ 11946 585 310 1 1 TDP_351 Control
## 7 2023.07.11-13.43.~ 29181 704 436 1 1 TDP_351 Control
## 8 2023.07.11-13.44.~ 63345 1143 689 2 2 TDP_444 Control
## 9 2023.07.11-13.44.~ 70433 1134 838 2 2 TDP_444 Control
## 10 2023.07.11-13.44.~ 43233 1067 523 2 2 TDP_444 Control
## # i 7,368 more rows# Split the date and time and isolate both DATE and TIMESTAMP
h <- h %>%
mutate(date = str_extract(Image_name, "\\d{4}\\.\\d{2}\\.\\d{2}"),
timestamp = str_extract(Image_name, "\\d{2}\\.\\d{2}\\.\\d{2}(?=\\.)"))Calculate cumulative area from 7 different angles AND maximum width and height
Subset for one plant
today <- subset(h, h$date == unique(h$date)[1])
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[1])
one_plant## # A tibble: 7 x 10
## Image_name Area Height Width Pot_no PotNoInOrder Accession Treatment date
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <chr>
## 1 2023.07.11-1~ 24105 745 532 1 1 TDP_351 Control 2023~
## 2 2023.07.11-1~ 18792 751 383 1 1 TDP_351 Control 2023~
## 3 2023.07.11-1~ 31567 764 399 1 1 TDP_351 Control 2023~
## 4 2023.07.11-1~ 28047 726 595 1 1 TDP_351 Control 2023~
## 5 2023.07.11-1~ 18167 647 443 1 1 TDP_351 Control 2023~
## 6 2023.07.11-1~ 11946 585 310 1 1 TDP_351 Control 2023~
## 7 2023.07.11-1~ 29181 704 436 1 1 TDP_351 Control 2023~
## # i 1 more variable: timestamp <chr>AREA.sum will be the sum of ALL the areas in this dataset while max width and height will be the width.max and height.max
sum(one_plant$Area)## [1] 161805max(one_plant$Width)## [1] 595max(one_plant$Height)## [1] 764Adding measurement to an empty table
names <- c("DATE", "TIME", "Area.sum", "Height.max", "Width.max")
data_sum <- data.frame()
for (k in names) data_sum[[k]] <- as.character()
data_sum[1,1] <- one_plant$date[1]
data_sum[1,2] <- one_plant$timestamp[1]
data_sum[1,3] <- sum(one_plant$Area)
data_sum[1,4] <- max(one_plant$Height)
data_sum[1,5] <- sum(one_plant$Width)
data_sum[1, c("Accession", "Treatment")] <- h[1, c("Accession", "Treatment")]
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment
## 1 2023.07.11 13.43.47 161805 764 3098 TDP_351 Controlcount <- 1
for(d in 1:length(unique(h$date))){
today <- subset(h, h$date == unique(h$date)[d])
for(t in 1:length(unique(today$timestamp))){
one_plant <- subset(today, today$timestamp == unique(today$timestamp)[t])
if (nrow(one_plant) > 0) {
data_sum[count,1] <- one_plant$date[1]
data_sum[count,2] <- one_plant$timestamp[1]
data_sum[count,3] <- sum(one_plant$Area)
data_sum[count,4] <- max(one_plant$Height)
data_sum[count,5] <- sum(one_plant$Width)
data_sum[count, "Treatment"] <- one_plant$Treatment[1]
data_sum[count, "Accession"] <- one_plant$Accession[1]
count <- count + 1
}
}
}Assign values to “days” column based on specific dates
data_sum$days[data_sum$DATE == "2023.07.11"] <- 0
data_sum$days[data_sum$DATE == "2023.07.13"] <- 2
data_sum$days[data_sum$DATE == "2023.07.15"] <- 4
data_sum$days[data_sum$DATE == "2023.07.17"] <- 6
data_sum$days[data_sum$DATE == "2023.07.19"] <- 8
data_sum$days[data_sum$DATE == "2023.07.21"] <- 10
data_sum$days[data_sum$DATE == "2023.07.23"] <- 12
data_sum$days[data_sum$DATE == "2023.07.25"] <- 14Adding
dim(h)[1] / dim(data_sum)[1]## [1] 7Plot Area.sum and Date
data_sum$Area.sum <- as.numeric(as.character(data_sum$Area.sum))
min(data_sum$Area.sum)## [1] 5293unique(data_sum$days)## [1] 0 2 4 6 8 10 12 14# data_sum$DATE <- gsub("2023.05.", "", data_sum$DATE)
data_sum$days <- as.numeric(as.character(data_sum$days))
data_sum## DATE TIME Area.sum Height.max Width.max Accession Treatment days
## 1 2023.07.11 13.43.47 161805 764 3098 TDP_351 Control 0
## 2 2023.07.11 13.44.55 422839 1156 4699 TDP_444 Control 0
## 3 2023.07.11 13.45.46 42439 672 2445 TDP_445 Control 0
## 4 2023.07.11 13.46.48 119957 652 3429 TDP_354 Control 0
## 5 2023.07.11 13.48.17 195577 784 3244 TDP_352 Control 0
## 6 2023.07.11 13.49.11 245872 872 4328 TDP_351 Drought 0
## 7 2023.07.11 13.50.10 195810 1017 4107 TDP_444 Drought 0
## 8 2023.07.11 13.54.19 87526 621 1940 TDP_445 Drought 0
## 9 2023.07.11 13.55.40 126584 891 3243 TDP_354 Drought 0
## 10 2023.07.11 13.57.09 263988 758 3906 TDP_352 Drought 0
## 11 2023.07.11 13.58.58 812238 1216 5249 TDP_440 Control 0
## 12 2023.07.11 14.01.07 425793 849 3631 TDP_441 Control 0
## 13 2023.07.11 14.03.33 163141 1014 3431 TDP_442 Control 0
## 14 2023.07.11 14.05.00 222876 1076 3842 TDP_446 Control 0
## 15 2023.07.11 14.06.03 434327 879 4545 TDP_440 Drought 0
## 16 2023.07.11 14.06.53 527533 1110 4603 TDP_441 Drought 0
## 17 2023.07.11 14.10.02 138627 999 3582 TDP_442 Drought 0
## 18 2023.07.11 14.11.01 85864 838 3228 TDP_446 Drought 0
## 19 2023.07.11 14.11.52 396102 948 3544 TDP_374 Control 0
## 20 2023.07.11 14.13.54 611654 1184 4750 TDP_375 Control 0
## 21 2023.07.11 14.14.52 485462 1113 3102 TDP_376 Control 0
## 22 2023.07.11 14.15.48 482707 1299 3833 TDP_380 Control 0
## 23 2023.07.11 14.16.47 172222 977 2195 TDP_379 Control 0
## 24 2023.07.11 14.17.39 617036 1317 5435 TDP_374 Drought 0
## 25 2023.07.11 14.18.28 508665 1057 3680 TDP_375 Drought 0
## 26 2023.07.11 14.19.42 436366 1080 3648 TDP_376 Drought 0
## 27 2023.07.11 14.20.32 517641 1156 3654 TDP_380 Drought 0
## 28 2023.07.11 14.22.05 388531 998 2809 TDP_379 Drought 0
## 29 2023.07.11 14.23.00 367005 1076 3315 TDP_370 Control 0
## 30 2023.07.11 14.23.51 285104 1187 3702 TDP_416 Control 0
## 31 2023.07.11 14.25.47 345841 1143 3133 TDP_373 Control 0
## 32 2023.07.11 14.26.58 467369 946 4253 TDP_372 Control 0
## 33 2023.07.11 14.27.47 584314 1128 4275 TDP_377 Control 0
## 34 2023.07.11 14.28.37 236281 1104 3294 TDP_370 Drought 0
## 35 2023.07.11 14.30.50 274765 1202 4098 TDP_373 Drought 0
## 36 2023.07.11 14.32.01 134046 1059 2793 TDP_372 Drought 0
## 37 2023.07.11 14.33.01 303774 1018 3453 TDP_377 Drought 0
## 38 2023.07.11 14.33.51 462461 665 3961 TDP_367 Control 0
## 39 2023.07.11 14.34.40 756758 1077 4802 TDP_368 Control 0
## 40 2023.07.11 14.35.41 823101 1054 4426 TDP_369 Control 0
## 41 2023.07.11 14.36.31 253146 1051 3758 TDP_400 Control 0
## 42 2023.07.11 14.37.23 71276 648 2804 TDP_388 Control 0
## 43 2023.07.11 14.38.13 746716 938 5162 TDP_367 Drought 0
## 44 2023.07.11 14.39.03 596235 1044 5046 TDP_368 Drought 0
## 45 2023.07.11 14.39.53 498015 1262 3252 TDP_369 Drought 0
## 46 2023.07.11 14.41.15 449847 1134 4841 TDP_400 Drought 0
## 47 2023.07.11 14.42.13 245063 963 3542 TDP_388 Drought 0
## 48 2023.07.11 14.43.06 550490 1273 4637 TDP_385 Control 0
## 49 2023.07.11 14.43.57 170559 1135 2595 TDP_392 Control 0
## 50 2023.07.11 14.45.03 243317 984 3103 TDP_386 Control 0
## 51 2023.07.11 14.46.24 332498 1031 3874 TDP_409 Control 0
## 52 2023.07.11 14.47.15 152844 993 3208 TDP_396 Control 0
## 53 2023.07.11 14.48.21 452618 974 4363 TDP_385 Drought 0
## 54 2023.07.11 14.49.11 400659 1372 4341 TDP_392 Drought 0
## 55 2023.07.11 14.50.25 355461 912 4493 TDP_386 Drought 0
## 56 2023.07.11 14.51.42 205268 1031 3619 TDP_409 Drought 0
## 57 2023.07.11 14.52.52 231891 1057 3323 TDP_396 Drought 0
## 58 2023.07.11 14.53.42 334265 1097 5218 TDP_398 Control 0
## 59 2023.07.11 14.55.48 230674 801 3379 TDP_433 Control 0
## 60 2023.07.11 14.56.42 232815 1030 4519 TDP_436 Control 0
## 61 2023.07.11 14.57.33 308897 967 2948 TDP_432 Control 0
## 62 2023.07.11 14.58.26 326706 1188 4201 TDP_447 Control 0
## 63 2023.07.11 15.00.36 177397 777 3332 TDP_433 Drought 0
## 64 2023.07.11 15.01.29 160114 1275 3229 TDP_436 Drought 0
## 65 2023.07.11 15.02.19 508934 768 3985 TDP_432 Drought 0
## 66 2023.07.11 15.03.10 504344 1335 4215 TDP_423 Control 0
## 67 2023.07.11 15.04.05 74647 639 2022 TDP_431 Control 0
## 68 2023.07.11 15.04.57 207246 1237 2616 TDP_382 Control 0
## 69 2023.07.11 15.07.11 201163 1155 2814 TDP_394 Control 0
## 70 2023.07.11 15.08.10 421072 1326 5720 TDP_423 Drought 0
## 71 2023.07.11 15.08.59 150115 705 2358 TDP_431 Drought 0
## 72 2023.07.11 15.10.03 353094 1193 3530 TDP_382 Drought 0
## 73 2023.07.11 15.12.28 233061 1049 3121 TDP_394 Drought 0
## 74 2023.07.11 15.13.21 487513 1351 4327 TDP_419 Control 0
## 75 2023.07.11 15.14.11 547105 892 4658 TDP_434 Control 0
## 76 2023.07.11 15.15.02 328549 1258 4745 TDP_381 Control 0
## 77 2023.07.11 15.17.27 422258 1326 4378 TDP_384 Control 0
## 78 2023.07.11 15.18.34 325743 1012 4364 TDP_419 Drought 0
## 79 2023.07.11 15.19.26 428089 994 4188 TDP_434 Drought 0
## 80 2023.07.11 15.21.18 406595 1253 5162 TDP_381 Drought 0
## 81 2023.07.11 15.23.48 330788 1118 3311 TDP_384 Drought 0
## 82 2023.07.11 15.25.37 198367 793 2888 TDP_452 Control 0
## 83 2023.07.11 15.26.29 385473 1062 4980 TDP_453 Control 0
## 84 2023.07.11 15.27.22 100966 594 2878 TDP_359_c Control 0
## 85 2023.07.11 15.28.20 297897 923 3800 TDP_22_c Control 0
## 86 2023.07.11 15.29.11 493041 1240 4384 TDP_383 Drought 0
## 87 2023.07.11 15.30.06 297227 924 3738 TDP_452 Drought 0
## 88 2023.07.11 15.30.57 294952 414 5175 TDP_453 Drought 0
## 89 2023.07.11 15.32.03 216377 766 2939 TDP_359_c Drought 0
## 90 2023.07.11 15.32.53 406316 1163 4230 TDP_22_c Drought 0
## 91 2023.07.11 15.33.48 159987 922 2710 TDP_447 Control 0
## 92 2023.07.11 15.34.47 444423 1080 4828 TDP_451 Control 0
## 93 2023.07.11 15.41.21 512293 601 3946 TDP_448 Control 0
## 94 2023.07.11 15.42.16 233980 1040 3080 TDP_450 Control 0
## 95 2023.07.11 15.43.25 375381 1035 4031 TDP_449 Control 0
## 96 2023.07.11 15.44.16 170347 987 2539 TDP_447 Drought 0
## 97 2023.07.11 15.45.15 226535 929 4829 TDP_451 Drought 0
## 98 2023.07.11 15.46.08 38994 274 1814 TDP_448 Drought 0
## 99 2023.07.11 15.47.17 8418 135 645 TDP_450 Drought 0
## 100 2023.07.11 15.48.30 284243 699 4034 TDP_449 Drought 0
## 101 2023.07.11 15.49.21 26041 620 1823 TDP_205 Control 0
## 102 2023.07.11 15.51.39 45726 918 2574 TDP_350 Control 0
## 103 2023.07.11 15.52.41 77873 513 3247 TDP_362 Control 0
## 104 2023.07.11 15.53.38 57550 604 2655 TDP_363 Control 0
## 105 2023.07.11 15.54.48 80871 788 2896 TDP_205 Drought 0
## 106 2023.07.11 15.56.37 16150 458 1820 TDP_350 Drought 0
## 107 2023.07.11 15.57.44 28771 742 1242 TDP_362 Drought 0
## 108 2023.07.11 15.59.00 211056 897 3572 TDP_363 Drought 0
## 109 2023.07.11 15.59.57 117810 393 2317 TDP_364 Control 0
## 110 2023.07.11 16.00.53 581694 978 4523 TDP_357 Control 0
## 111 2023.07.11 16.01.45 26480 549 1846 TDP_344 Control 0
## 112 2023.07.11 16.03.03 199765 650 4027 TDP_364 Drought 0
## 113 2023.07.11 16.03.52 320623 759 4146 TDP_357 Drought 0
## 114 2023.07.11 16.05.34 64156 827 1662 TDP_358 Control 0
## 115 2023.07.11 16.06.24 157581 1202 3161 TDP_360 Control 0
## 116 2023.07.11 16.08.06 140342 573 2688 TDP_361 Control 0
## 117 2023.07.11 16.08.58 153481 772 2604 TDP_406 Control 0
## 118 2023.07.11 16.09.48 196372 720 3269 TDP_439 Control 0
## 119 2023.07.11 16.10.39 294580 856 4319 TDP_358 Drought 0
## 120 2023.07.11 16.12.26 250555 936 3353 TDP_361 Drought 0
## 121 2023.07.11 16.13.20 430393 714 3793 TDP_406 Drought 0
## 122 2023.07.11 16.14.15 238009 717 3384 TDP_439 Drought 0
## 123 2023.07.11 16.17.03 43539 881 2082 TDP_443 Control 0
## 124 2023.07.11 16.17.56 132522 688 3853 TDP_132 Control 0
## 125 2023.07.11 16.18.54 29292 589 1842 TDP_256 Control 0
## 126 2023.07.11 16.19.43 166692 864 2513 TDP_390 Control 0
## 127 2023.07.11 16.20.32 152614 1065 2460 TDP_443 Drought 0
## 128 2023.07.11 16.21.23 187543 1177 2478 TDP_132 Drought 0
## 129 2023.07.11 16.22.12 25435 476 1526 TDP_256 Drought 0
## 130 2023.07.11 16.23.02 27950 775 1641 TDP_390 Drought 0
## 131 2023.07.11 15.24.46 723410 <NA> <NA> TDP_383 Control 0
## 132 2023.07.13 11.24.13 203074 836 3246 TDP_351 Control 2
## 133 2023.07.13 11.29.05 453369 1200 5609 TDP_444 Control 2
## 134 2023.07.13 11.31.47 84042 759 2537 TDP_445 Control 2
## 135 2023.07.13 11.32.48 197462 791 3682 TDP_354 Control 2
## 136 2023.07.13 11.33.47 257081 723 3717 TDP_352 Control 2
## 137 2023.07.13 11.35.01 345892 923 4562 TDP_351 Drought 2
## 138 2023.07.13 11.36.01 280097 1066 4211 TDP_444 Drought 2
## 139 2023.07.13 11.37.08 124547 447 3201 TDP_445 Drought 2
## 140 2023.07.13 11.38.53 112891 851 3235 TDP_354 Drought 2
## 141 2023.07.13 11.40.10 291320 898 3843 TDP_352 Drought 2
## 142 2023.07.13 11.41.17 962544 1282 5744 TDP_440 Control 2
## 143 2023.07.13 11.42.36 588408 1065 4513 TDP_441 Control 2
## 144 2023.07.13 11.43.32 221564 1139 4001 TDP_442 Control 2
## 145 2023.07.13 11.44.59 277418 1205 3905 TDP_446 Control 2
## 146 2023.07.13 11.46.31 517026 927 4625 TDP_440 Drought 2
## 147 2023.07.13 11.54.42 628091 1026 5141 TDP_441 Drought 2
## 148 2023.07.13 11.56.20 216520 956 4148 TDP_442 Drought 2
## 149 2023.07.13 11.57.29 122893 982 3628 TDP_446 Drought 2
## 150 2023.07.13 11.58.25 509902 954 4838 TDP_374 Control 2
## 151 2023.07.13 11.59.13 748105 1225 5278 TDP_375 Control 2
## 152 2023.07.13 12.00.35 614597 1300 5360 TDP_376 Control 2
## 153 2023.07.13 12.04.20 594510 1288 3945 TDP_380 Control 2
## 154 2023.07.13 12.05.13 244991 1028 2771 TDP_379 Control 2
## 155 2023.07.13 12.06.38 840140 1428 5068 TDP_374 Drought 2
## 156 2023.07.13 12.08.37 511236 1120 4012 TDP_375 Drought 2
## 157 2023.07.13 12.09.46 462517 1283 4643 TDP_376 Drought 2
## 158 2023.07.13 12.10.57 529560 1264 3859 TDP_380 Drought 2
## 159 2023.07.13 12.11.54 396743 1070 3651 TDP_379 Drought 2
## 160 2023.07.13 12.12.49 495885 1125 3991 TDP_370 Control 2
## 161 2023.07.13 12.13.51 408088 1102 3435 TDP_416 Control 2
## 162 2023.07.13 12.15.17 428385 1294 3708 TDP_373 Control 2
## 163 2023.07.13 12.16.43 665280 1028 5305 TDP_372 Control 2
## 164 2023.07.13 12.18.38 773442 1097 5102 TDP_377 Control 2
## 165 2023.07.13 12.19.28 302349 1190 3603 TDP_370 Drought 2
## 166 2023.07.13 12.21.51 365280 1205 4145 TDP_373 Drought 2
## 167 2023.07.13 12.24.01 164431 1047 3191 TDP_372 Drought 2
## 168 2023.07.13 12.28.19 365238 1098 3606 TDP_377 Drought 2
## 169 2023.07.13 12.29.57 629133 664 5282 TDP_367 Control 2
## 170 2023.07.13 12.30.50 821882 1090 4657 TDP_368 Control 2
## 171 2023.07.13 12.32.08 952085 1131 5240 TDP_369 Control 2
## 172 2023.07.13 12.33.08 337056 1266 3882 TDP_400 Control 2
## 173 2023.07.13 12.35.01 110635 527 3850 TDP_388 Control 2
## 174 2023.07.13 12.36.12 896293 971 5633 TDP_367 Drought 2
## 175 2023.07.13 12.37.01 745764 1104 5067 TDP_368 Drought 2
## 176 2023.07.13 12.41.49 592908 1131 3214 TDP_369 Drought 2
## 177 2023.07.13 12.44.47 533886 1216 5239 TDP_400 Drought 2
## 178 2023.07.13 12.46.16 338486 871 3547 TDP_388 Drought 2
## 179 2023.07.13 13.20.04 708897 1199 5110 TDP_385 Control 2
## 180 2023.07.13 13.21.52 242447 1074 3033 TDP_392 Control 2
## 181 2023.07.13 13.23.06 320680 897 3746 TDP_386 Control 2
## 182 2023.07.13 13.24.13 445986 1063 4416 TDP_409 Control 2
## 183 2023.07.13 13.25.26 192672 1031 3121 TDP_396 Control 2
## 184 2023.07.13 13.26.54 597452 994 4032 TDP_385 Drought 2
## 185 2023.07.13 13.27.43 419608 1332 4254 TDP_392 Drought 2
## 186 2023.07.13 13.28.39 409515 800 4311 TDP_386 Drought 2
## 187 2023.07.13 13.29.33 283700 1046 3903 TDP_409 Drought 2
## 188 2023.07.13 13.31.51 299132 1031 3859 TDP_396 Drought 2
## 189 2023.07.13 13.32.42 466155 1164 6031 TDP_398 Control 2
## 190 2023.07.13 13.35.27 308543 999 3684 TDP_433 Control 2
## 191 2023.07.13 13.36.21 316930 1099 4510 TDP_436 Control 2
## 192 2023.07.13 13.37.43 382849 1053 2982 TDP_432 Control 2
## 193 2023.07.13 13.38.59 392981 1232 4707 TDP_447 Control 2
## 194 2023.07.13 13.40.43 195065 655 3802 TDP_433 Drought 2
## 195 2023.07.13 13.45.11 249474 1126 4158 TDP_436 Drought 2
## 196 2023.07.13 13.46.50 597610 936 4241 TDP_432 Drought 2
## 197 2023.07.13 13.47.41 606166 1359 4592 TDP_423 Control 2
## 198 2023.07.13 13.49.05 91602 723 2164 TDP_431 Control 2
## 199 2023.07.13 13.50.05 236864 1296 2615 TDP_382 Control 2
## 200 2023.07.13 13.52.09 243352 1123 3251 TDP_394 Control 2
## 201 2023.07.13 13.53.16 617465 1207 5101 TDP_423 Drought 2
## 202 2023.07.13 13.54.08 195276 740 2271 TDP_431 Drought 2
## 203 2023.07.13 13.55.27 439177 1203 4308 TDP_382 Drought 2
## 204 2023.07.13 13.59.20 227012 1147 3029 TDP_394 Drought 2
## 205 2023.07.13 14.00.37 677858 1370 4313 TDP_419 Control 2
## 206 2023.07.13 14.01.28 855921 984 4949 TDP_434 Control 2
## 207 2023.07.13 14.02.18 426809 1274 5083 TDP_381 Control 2
## 208 2023.07.13 14.05.35 467495 1208 4539 TDP_384 Control 2
## 209 2023.07.13 14.06.37 468527 1078 4129 TDP_419 Drought 2
## 210 2023.07.13 14.07.27 483556 940 5291 TDP_434 Drought 2
## 211 2023.07.13 14.08.17 569938 1199 5231 TDP_381 Drought 2
## 212 2023.07.13 14.10.06 359397 1128 3407 TDP_384 Drought 2
## 213 2023.07.13 14.12.11 127287 884 2698 TDP_452 Control 2
## 214 2023.07.13 14.13.00 566893 1052 5251 TDP_453 Control 2
## 215 2023.07.13 14.14.10 110245 555 3403 TDP_359_c Control 2
## 216 2023.07.13 14.15.12 343979 1078 4194 TDP_22_c Control 2
## 217 2023.07.13 14.16.02 602376 1253 4649 TDP_383 Drought 2
## 218 2023.07.13 14.16.53 322844 795 3713 TDP_452 Drought 2
## 219 2023.07.13 14.17.43 366792 550 4463 TDP_453 Drought 2
## 220 2023.07.13 14.18.35 236037 846 3546 TDP_359_c Drought 2
## 221 2023.07.13 14.20.21 542837 1153 4380 TDP_22_c Drought 2
## 222 2023.07.13 14.21.15 123997 963 2490 TDP_447 Control 2
## 223 2023.07.13 14.22.28 421905 1176 5582 TDP_451 Control 2
## 224 2023.07.13 14.23.55 655951 850 4324 TDP_448 Control 2
## 225 2023.07.13 14.25.16 351077 1315 4149 TDP_450 Control 2
## 226 2023.07.13 14.26.06 580767 968 4581 TDP_449 Control 2
## 227 2023.07.13 14.27.04 224436 872 2624 TDP_447 Drought 2
## 228 2023.07.13 14.27.55 372562 973 4179 TDP_451 Drought 2
## 229 2023.07.13 14.29.26 67277 321 1943 TDP_448 Drought 2
## 230 2023.07.13 14.30.17 9236 119 607 TDP_450 Drought 2
## 231 2023.07.13 14.32.05 343361 802 4050 TDP_449 Drought 2
## 232 2023.07.13 14.34.05 34600 704 2027 TDP_205 Control 2
## 233 2023.07.13 14.36.01 38792 832 2879 TDP_350 Control 2
## 234 2023.07.13 14.37.35 220437 997 2983 TDP_362 Control 2
## 235 2023.07.13 14.38.37 138256 668 2621 TDP_363 Control 2
## 236 2023.07.13 14.39.26 65257 727 2931 TDP_205 Drought 2
## 237 2023.07.13 14.41.05 25769 505 1868 TDP_350 Drought 2
## 238 2023.07.13 14.41.54 39773 794 1676 TDP_362 Drought 2
## 239 2023.07.13 14.43.08 338797 922 3383 TDP_363 Drought 2
## 240 2023.07.13 14.43.57 170331 590 3109 TDP_364 Control 2
## 241 2023.07.13 14.45.06 541657 851 4943 TDP_357 Control 2
## 242 2023.07.13 14.45.56 31553 420 2525 TDP_344 Control 2
## 243 2023.07.13 14.46.45 259202 684 4802 TDP_364 Drought 2
## 244 2023.07.13 14.49.03 345161 708 3879 TDP_357 Drought 2
## 245 2023.07.13 14.50.49 359096 721 3976 TDP_357 Drought 2
## 246 2023.07.13 14.53.08 69267 935 1743 TDP_358 Control 2
## 247 2023.07.13 14.54.00 332919 1191 4221 TDP_360 Control 2
## 248 2023.07.13 14.54.50 220274 547 3685 TDP_361 Control 2
## 249 2023.07.13 14.56.00 296037 812 3218 TDP_406 Control 2
## 250 2023.07.13 14.56.59 307546 850 4387 TDP_439 Control 2
## 251 2023.07.13 14.57.52 306311 852 4432 TDP_358 Drought 2
## 252 2023.07.13 15.00.23 299355 1029 3773 TDP_361 Drought 2
## 253 2023.07.13 15.01.13 551583 843 3856 TDP_406 Drought 2
## 254 2023.07.13 15.02.21 246072 738 3721 TDP_439 Drought 2
## 255 2023.07.13 15.03.15 29608 920 2295 TDP_443 Control 2
## 256 2023.07.13 15.04.05 131847 807 3518 TDP_132 Control 2
## 257 2023.07.13 15.05.11 39612 1021 2330 TDP_256 Control 2
## 258 2023.07.13 15.06.01 219104 961 2947 TDP_390 Control 2
## 259 2023.07.13 15.06.52 134345 1066 2713 TDP_443 Drought 2
## 260 2023.07.13 15.07.59 233693 1392 2283 TDP_132 Drought 2
## 261 2023.07.13 15.08.48 33840 511 1196 TDP_256 Drought 2
## 262 2023.07.13 15.10.18 30416 893 1711 TDP_390 Drought 2
## 263 2023.07.13 14.11.13 951675 <NA> <NA> TDP_383 Control 2
## 264 2023.07.15 14.01.47 208807 817 3371 TDP_351 Control 4
## 265 2023.07.15 14.02.37 531633 1266 5272 TDP_444 Control 4
## 266 2023.07.15 14.03.47 116146 915 2591 TDP_445 Control 4
## 267 2023.07.15 14.05.53 323277 788 3593 TDP_354 Control 4
## 268 2023.07.15 14.07.27 335873 788 3731 TDP_352 Control 4
## 269 2023.07.15 14.08.44 495332 916 4460 TDP_351 Drought 4
## 270 2023.07.15 14.09.48 263645 1098 3995 TDP_444 Drought 4
## 271 2023.07.15 14.13.03 171619 883 3423 TDP_354 Drought 4
## 272 2023.07.15 14.15.06 373325 850 3882 TDP_352 Drought 4
## 273 2023.07.15 14.16.58 1243942 1423 5938 TDP_440 Control 4
## 274 2023.07.15 14.18.32 980873 1182 5030 TDP_441 Control 4
## 275 2023.07.15 14.19.58 426803 1082 4057 TDP_442 Control 4
## 276 2023.07.15 14.20.54 367540 1180 3617 TDP_446 Control 4
## 277 2023.07.15 14.22.12 918959 1205 4704 TDP_441 Drought 4
## 278 2023.07.15 14.25.33 280248 865 3892 TDP_442 Drought 4
## 279 2023.07.15 14.26.47 147742 1000 3827 TDP_446 Drought 4
## 280 2023.07.15 14.29.51 684290 986 5458 TDP_374 Control 4
## 281 2023.07.15 14.31.21 1234656 1356 5555 TDP_375 Control 4
## 282 2023.07.15 14.32.36 1045650 1363 5372 TDP_376 Control 4
## 283 2023.07.15 14.35.03 900654 1283 4473 TDP_380 Control 4
## 284 2023.07.15 14.36.37 414990 1131 3674 TDP_379 Control 4
## 285 2023.07.15 14.37.56 942884 1331 4702 TDP_374 Drought 4
## 286 2023.07.15 14.39.44 505747 1116 4023 TDP_375 Drought 4
## 287 2023.07.15 14.41.02 507173 1237 4099 TDP_376 Drought 4
## 288 2023.07.15 14.42.23 645341 1212 3881 TDP_380 Drought 4
## 289 2023.07.15 14.44.47 631483 1158 4301 TDP_379 Drought 4
## 290 2023.07.15 14.48.39 685481 1240 5135 TDP_370 Control 4
## 291 2023.07.15 14.49.40 467312 1113 3059 TDP_416 Control 4
## 292 2023.07.15 14.52.47 583168 1266 3782 TDP_373 Control 4
## 293 2023.07.15 14.54.04 1039633 1138 5350 TDP_372 Control 4
## 294 2023.07.15 14.55.28 1106979 1109 5734 TDP_377 Control 4
## 295 2023.07.15 14.56.45 413166 1136 3611 TDP_370 Drought 4
## 296 2023.07.15 14.58.18 481645 1327 4090 TDP_373 Drought 4
## 297 2023.07.15 14.59.20 184598 1100 3574 TDP_372 Drought 4
## 298 2023.07.15 15.01.21 416796 1162 3972 TDP_377 Drought 4
## 299 2023.07.15 15.03.13 815791 728 5595 TDP_367 Control 4
## 300 2023.07.15 15.05.16 792706 1176 3948 TDP_368 Control 4
## 301 2023.07.15 15.07.01 1378826 1327 4697 TDP_369 Control 4
## 302 2023.07.15 15.08.35 484108 1158 4803 TDP_400 Control 4
## 303 2023.07.15 15.09.49 97652 614 3250 TDP_388 Control 4
## 304 2023.07.15 15.11.40 1065564 1001 5502 TDP_367 Drought 4
## 305 2023.07.15 15.12.41 869729 1232 4251 TDP_368 Drought 4
## 306 2023.07.15 15.14.18 615110 1133 3580 TDP_369 Drought 4
## 307 2023.07.15 15.17.00 706827 1138 5220 TDP_400 Drought 4
## 308 2023.07.15 15.18.28 444651 947 3755 TDP_388 Drought 4
## 309 2023.07.15 15.19.19 964152 1246 4864 TDP_385 Control 4
## 310 2023.07.15 15.23.16 327392 1305 3163 TDP_392 Control 4
## 311 2023.07.15 15.24.45 508948 929 4155 TDP_386 Control 4
## 312 2023.07.15 15.25.43 703222 1152 5402 TDP_409 Control 4
## 313 2023.07.15 15.26.59 171258 1072 2940 TDP_396 Control 4
## 314 2023.07.15 15.28.55 731144 1016 4144 TDP_385 Drought 4
## 315 2023.07.15 15.31.08 352364 1298 3863 TDP_392 Drought 4
## 316 2023.07.15 15.32.39 457056 838 4381 TDP_386 Drought 4
## 317 2023.07.15 15.34.59 292292 1129 3885 TDP_409 Drought 4
## 318 2023.07.15 15.35.53 349764 1119 3539 TDP_396 Drought 4
## 319 2023.07.15 15.37.04 638932 1314 4529 TDP_398 Control 4
## 320 2023.07.15 15.39.36 606435 883 4999 TDP_433 Control 4
## 321 2023.07.15 15.40.37 501345 1243 4489 TDP_436 Control 4
## 322 2023.07.15 15.41.41 413751 855 2980 TDP_432 Control 4
## 323 2023.07.15 15.42.51 410095 1189 3997 TDP_447 Control 4
## 324 2023.07.15 15.46.26 248769 754 3471 TDP_433 Drought 4
## 325 2023.07.15 15.48.11 323775 1325 4447 TDP_436 Drought 4
## 326 2023.07.15 15.49.25 687331 763 4278 TDP_432 Drought 4
## 327 2023.07.15 15.52.16 789132 1116 4762 TDP_423 Control 4
## 328 2023.07.15 15.53.33 87488 710 2831 TDP_431 Control 4
## 329 2023.07.15 15.54.43 209647 1292 2677 TDP_382 Control 4
## 330 2023.07.15 15.56.56 276103 997 3086 TDP_394 Control 4
## 331 2023.07.15 15.58.21 658012 1320 5121 TDP_423 Drought 4
## 332 2023.07.15 15.59.59 217582 795 2387 TDP_431 Drought 4
## 333 2023.07.15 16.01.18 456670 1231 3649 TDP_382 Drought 4
## 334 2023.07.15 16.04.48 171468 1171 3016 TDP_394 Drought 4
## 335 2023.07.15 16.06.47 778789 1449 4826 TDP_419 Control 4
## 336 2023.07.15 16.08.14 828191 841 4919 TDP_434 Control 4
## 337 2023.07.15 16.09.51 610233 1247 5198 TDP_381 Control 4
## 338 2023.07.15 16.12.16 481124 1300 3981 TDP_384 Control 4
## 339 2023.07.15 16.14.20 531995 1117 3780 TDP_419 Drought 4
## 340 2023.07.15 16.16.06 800236 1059 5243 TDP_434 Drought 4
## 341 2023.07.15 16.16.58 581934 1162 4794 TDP_381 Drought 4
## 342 2023.07.15 16.20.19 394668 1129 3243 TDP_384 Drought 4
## 343 2023.07.15 16.22.51 90084 886 2086 TDP_452 Control 4
## 344 2023.07.15 16.23.56 781400 1096 5529 TDP_453 Control 4
## 345 2023.07.15 16.25.04 167419 608 2819 TDP_359_c Control 4
## 346 2023.07.15 16.26.14 490205 1000 4420 TDP_22_c Control 4
## 347 2023.07.15 16.27.38 611833 1219 4616 TDP_383 Drought 4
## 348 2023.07.15 16.29.20 217195 910 3159 TDP_452 Drought 4
## 349 2023.07.15 16.30.13 434902 638 4587 TDP_453 Drought 4
## 350 2023.07.15 16.31.29 271787 856 3040 TDP_359_c Drought 4
## 351 2023.07.15 16.32.33 647530 1218 4241 TDP_22_c Drought 4
## 352 2023.07.15 16.35.49 120959 790 2891 TDP_447 Control 4
## 353 2023.07.15 16.36.47 686946 1184 5585 TDP_451 Control 4
## 354 2023.07.15 16.38.26 890454 820 4442 TDP_448 Control 4
## 355 2023.07.15 16.39.55 546446 1099 4341 TDP_450 Control 4
## 356 2023.07.15 16.40.54 950890 951 4789 TDP_449 Control 4
## 357 2023.07.15 16.42.01 298361 1034 2748 TDP_447 Drought 4
## 358 2023.07.15 16.43.12 390301 1076 3703 TDP_451 Drought 4
## 359 2023.07.15 16.44.04 97599 330 2326 TDP_448 Drought 4
## 360 2023.07.15 16.47.29 8328 129 547 TDP_450 Drought 4
## 361 2023.07.15 16.49.08 416341 816 3988 TDP_449 Drought 4
## 362 2023.07.15 16.50.06 46949 735 1797 TDP_205 Control 4
## 363 2023.07.15 16.52.45 102540 722 3069 TDP_350 Control 4
## 364 2023.07.15 16.54.41 395415 1038 3393 TDP_362 Control 4
## 365 2023.07.15 16.56.14 121127 953 2671 TDP_363 Control 4
## 366 2023.07.15 16.57.32 82267 747 2957 TDP_205 Drought 4
## 367 2023.07.15 16.59.48 17278 447 1787 TDP_350 Drought 4
## 368 2023.07.15 17.00.59 59151 788 1699 TDP_362 Drought 4
## 369 2023.07.15 17.02.26 367107 1018 3258 TDP_363 Drought 4
## 370 2023.07.15 17.06.24 358280 917 4138 TDP_364 Control 4
## 371 2023.07.15 17.07.47 636253 842 4796 TDP_357 Control 4
## 372 2023.07.15 17.09.26 107046 445 2929 TDP_344 Control 4
## 373 2023.07.15 17.10.25 401568 729 4778 TDP_364 Drought 4
## 374 2023.07.15 17.11.27 408016 746 4242 TDP_357 Drought 4
## 375 2023.07.15 17.13.53 88242 848 2104 TDP_358 Control 4
## 376 2023.07.15 17.15.07 362381 1178 4110 TDP_360 Control 4
## 377 2023.07.15 17.16.11 293779 642 3724 TDP_361 Control 4
## 378 2023.07.15 17.17.13 683745 896 4110 TDP_406 Control 4
## 379 2023.07.15 17.18.04 626570 914 4506 TDP_439 Control 4
## 380 2023.07.15 17.18.55 393477 938 4142 TDP_358 Drought 4
## 381 2023.07.15 17.20.58 507745 1060 3930 TDP_361 Drought 4
## 382 2023.07.15 17.21.47 625525 726 4005 TDP_406 Drought 4
## 383 2023.07.15 17.22.37 396198 897 3984 TDP_439 Drought 4
## 384 2023.07.15 17.23.27 25847 924 2539 TDP_443 Control 4
## 385 2023.07.15 17.24.18 143730 640 3778 TDP_132 Control 4
## 386 2023.07.15 17.25.10 58908 675 2506 TDP_256 Control 4
## 387 2023.07.15 17.26.26 372797 1008 4136 TDP_390 Control 4
## 388 2023.07.15 17.28.16 140270 1035 2855 TDP_443 Drought 4
## 389 2023.07.15 17.29.06 263447 1246 2726 TDP_132 Drought 4
## 390 2023.07.15 17.29.57 33407 511 1144 TDP_256 Drought 4
## 391 2023.07.15 17.31.18 44429 708 2419 TDP_390 Drought 4
## 392 2023.07.15 16.21.38 980243 <NA> <NA> TDP_383 Control 4
## 393 2023.07.17 10.41.17 219760 838 3279 TDP_351 Control 6
## 394 2023.07.17 10.43.44 707784 1364 4917 TDP_444 Control 6
## 395 2023.07.17 10.44.35 138416 1019 2691 TDP_445 Control 6
## 396 2023.07.17 10.45.26 420242 837 3596 TDP_354 Control 6
## 397 2023.07.17 10.46.34 517314 959 4347 TDP_352 Control 6
## 398 2023.07.17 10.47.55 573020 1039 4581 TDP_351 Drought 6
## 399 2023.07.17 10.50.27 241853 1097 3812 TDP_444 Drought 6
## 400 2023.07.17 10.51.58 163115 679 2340 TDP_445 Drought 6
## 401 2023.07.17 10.57.32 180494 962 3501 TDP_354 Drought 6
## 402 2023.07.17 10.59.43 357925 877 4271 TDP_352 Drought 6
## 403 2023.07.17 11.00.41 1443386 1500 5809 TDP_440 Control 6
## 404 2023.07.17 11.05.20 1289180 1197 5589 TDP_441 Control 6
## 405 2023.07.17 11.08.50 478388 1077 4105 TDP_442 Control 6
## 406 2023.07.17 11.15.35 313761 1140 2985 TDP_446 Control 6
## 407 2023.07.17 11.18.26 468688 1030 4300 TDP_440 Drought 6
## 408 2023.07.17 11.21.36 991208 1168 4744 TDP_441 Drought 6
## 409 2023.07.17 11.25.22 362492 961 3983 TDP_442 Drought 6
## 410 2023.07.17 11.29.43 260007 1027 3994 TDP_446 Drought 6
## 411 2023.07.17 11.30.59 791855 1041 5616 TDP_374 Control 6
## 412 2023.07.17 11.59.59 1488469 1443 6128 TDP_375 Control 6
## 413 2023.07.17 12.02.01 1296991 1290 5972 TDP_376 Control 6
## 414 2023.07.17 12.03.46 1134178 1348 4629 TDP_380 Control 6
## 415 2023.07.17 12.05.19 547748 1333 4787 TDP_379 Control 6
## 416 2023.07.17 12.09.07 1152247 1229 5370 TDP_374 Drought 6
## 417 2023.07.17 12.11.41 513258 1133 4123 TDP_375 Drought 6
## 418 2023.07.17 12.14.11 579669 1287 4437 TDP_376 Drought 6
## 419 2023.07.17 12.15.08 755090 1315 4029 TDP_380 Drought 6
## 420 2023.07.17 12.17.17 809616 1210 4802 TDP_379 Drought 6
## 421 2023.07.17 12.19.28 1061544 1259 5303 TDP_370 Control 6
## 422 2023.07.17 12.21.24 558693 1159 3385 TDP_416 Control 6
## 423 2023.07.17 12.22.34 764476 1271 3605 TDP_373 Control 6
## 424 2023.07.17 12.23.54 1414213 1159 5645 TDP_372 Control 6
## 425 2023.07.17 12.25.54 1404847 1198 6489 TDP_377 Control 6
## 426 2023.07.17 12.27.31 445159 1132 3755 TDP_370 Drought 6
## 427 2023.07.17 12.28.42 571686 1340 4296 TDP_373 Drought 6
## 428 2023.07.17 12.30.04 222048 1139 3672 TDP_372 Drought 6
## 429 2023.07.17 12.31.43 480557 1252 3885 TDP_377 Drought 6
## 430 2023.07.17 12.32.58 973937 800 6636 TDP_367 Control 6
## 431 2023.07.17 12.33.51 776781 1123 3962 TDP_368 Control 6
## 432 2023.07.17 12.35.19 1846762 1387 5142 TDP_369 Control 6
## 433 2023.07.17 12.36.25 627448 1236 4824 TDP_400 Control 6
## 434 2023.07.17 12.38.52 69089 499 2736 TDP_388 Control 6
## 435 2023.07.17 12.40.24 1082942 874 5626 TDP_367 Drought 6
## 436 2023.07.17 12.41.14 1042202 1300 4537 TDP_368 Drought 6
## 437 2023.07.17 12.42.26 754842 1283 3741 TDP_369 Drought 6
## 438 2023.07.17 12.43.29 718560 1126 5479 TDP_400 Drought 6
## 439 2023.07.17 12.44.27 587713 933 4478 TDP_388 Drought 6
## 440 2023.07.17 12.51.32 1160305 1353 5140 TDP_385 Control 6
## 441 2023.07.17 12.52.55 314071 1261 3557 TDP_392 Control 6
## 442 2023.07.17 12.54.16 588066 987 4616 TDP_386 Control 6
## 443 2023.07.17 12.56.40 709370 1275 4755 TDP_409 Control 6
## 444 2023.07.17 12.58.19 134763 914 2635 TDP_396 Control 6
## 445 2023.07.17 13.01.57 858868 1050 4156 TDP_385 Drought 6
## 446 2023.07.17 13.05.30 298134 1295 4520 TDP_392 Drought 6
## 447 2023.07.17 13.06.23 510466 976 4305 TDP_386 Drought 6
## 448 2023.07.17 13.07.22 293323 1165 3921 TDP_409 Drought 6
## 449 2023.07.17 13.09.23 351472 1141 3615 TDP_396 Drought 6
## 450 2023.07.17 13.11.36 667303 1333 4189 TDP_398 Control 6
## 451 2023.07.17 13.17.06 855371 977 5758 TDP_433 Control 6
## 452 2023.07.17 13.19.51 632638 1316 4681 TDP_436 Control 6
## 453 2023.07.17 13.23.46 434579 845 3018 TDP_432 Control 6
## 454 2023.07.17 13.27.04 458852 1242 4279 TDP_447 Control 6
## 455 2023.07.17 13.28.50 289447 847 3904 TDP_433 Drought 6
## 456 2023.07.17 13.29.42 332882 1159 4530 TDP_436 Drought 6
## 457 2023.07.17 13.30.35 746378 884 5517 TDP_432 Drought 6
## 458 2023.07.17 13.31.42 908729 1281 5575 TDP_423 Control 6
## 459 2023.07.17 13.32.33 85726 763 2598 TDP_431 Control 6
## 460 2023.07.17 13.33.28 157244 1367 3400 TDP_382 Control 6
## 461 2023.07.17 13.35.17 293168 1126 2958 TDP_394 Control 6
## 462 2023.07.17 13.36.27 728506 1349 5435 TDP_423 Drought 6
## 463 2023.07.17 13.37.18 254368 765 2583 TDP_431 Drought 6
## 464 2023.07.17 13.38.10 465389 1251 3595 TDP_382 Drought 6
## 465 2023.07.17 13.39.57 163150 1174 3177 TDP_394 Drought 6
## 466 2023.07.17 13.40.59 844812 1516 4621 TDP_419 Control 6
## 467 2023.07.17 13.41.50 941893 858 5528 TDP_434 Control 6
## 468 2023.07.17 13.46.40 614745 1123 4910 TDP_381 Control 6
## 469 2023.07.17 14.51.58 470898 1296 4132 TDP_384 Control 6
## 470 2023.07.17 14.53.00 581688 1156 3864 TDP_419 Drought 6
## 471 2023.07.17 14.53.54 860792 1067 5387 TDP_434 Drought 6
## 472 2023.07.17 14.54.46 639441 1250 4676 TDP_381 Drought 6
## 473 2023.07.17 14.56.48 416739 1136 3411 TDP_384 Drought 6
## 474 2023.07.17 15.00.06 91012 873 2104 TDP_452 Control 6
## 475 2023.07.17 15.02.35 957912 1212 5667 TDP_453 Control 6
## 476 2023.07.17 15.08.29 181422 557 3258 TDP_359_c Control 6
## 477 2023.07.17 15.09.20 472459 1134 4141 TDP_22_c Control 6
## 478 2023.07.17 15.11.11 600196 1191 4640 TDP_383 Drought 6
## 479 2023.07.17 15.12.02 198162 775 3090 TDP_452 Drought 6
## 480 2023.07.17 15.12.53 481800 732 4890 TDP_453 Drought 6
## 481 2023.07.17 15.13.43 306207 986 3223 TDP_359_c Drought 6
## 482 2023.07.17 15.15.03 668040 1206 4468 TDP_22_c Drought 6
## 483 2023.07.17 15.15.53 102678 976 2686 TDP_447 Control 6
## 484 2023.07.17 15.16.43 785543 1080 5941 TDP_451 Control 6
## 485 2023.07.17 15.18.43 1062340 1082 4655 TDP_448 Control 6
## 486 2023.07.17 15.19.39 747146 1212 4895 TDP_450 Control 6
## 487 2023.07.17 15.21.09 1222383 1009 5435 TDP_449 Control 6
## 488 2023.07.17 15.23.03 318740 1038 2757 TDP_447 Drought 6
## 489 2023.07.17 15.25.07 404550 1100 3560 TDP_451 Drought 6
## 490 2023.07.17 15.27.16 105823 364 2566 TDP_448 Drought 6
## 491 2023.07.17 15.28.48 6613 125 614 TDP_450 Drought 6
## 492 2023.07.17 15.30.07 510265 854 4160 TDP_449 Drought 6
## 493 2023.07.17 15.32.11 39348 723 2221 TDP_205 Control 6
## 494 2023.07.17 15.34.09 111237 846 3406 TDP_350 Control 6
## 495 2023.07.17 15.35.40 418781 1118 4624 TDP_362 Control 6
## 496 2023.07.17 15.37.53 177159 959 3084 TDP_363 Control 6
## 497 2023.07.17 15.39.47 68062 635 3251 TDP_205 Drought 6
## 498 2023.07.17 15.43.58 23382 475 1842 TDP_350 Drought 6
## 499 2023.07.17 15.46.31 67803 796 1638 TDP_362 Drought 6
## 500 2023.07.17 15.47.25 394141 1113 3940 TDP_363 Drought 6
## 501 2023.07.17 15.48.40 593518 850 5312 TDP_364 Control 6
## 502 2023.07.17 15.49.38 707789 874 4714 TDP_357 Control 6
## 503 2023.07.17 15.50.43 60650 463 3278 TDP_344 Control 6
## 504 2023.07.17 15.52.02 501300 638 5306 TDP_364 Drought 6
## 505 2023.07.17 15.52.56 415097 740 4198 TDP_357 Drought 6
## 506 2023.07.17 15.54.47 110502 994 2504 TDP_358 Control 6
## 507 2023.07.17 15.55.39 554370 1192 4660 TDP_360 Control 6
## 508 2023.07.17 15.56.35 605196 650 4368 TDP_361 Control 6
## 509 2023.07.17 15.57.45 829275 947 4688 TDP_406 Control 6
## 510 2023.07.17 15.58.41 1001064 1273 5449 TDP_439 Control 6
## 511 2023.07.17 15.59.34 431127 815 4325 TDP_358 Drought 6
## 512 2023.07.17 16.02.06 608269 1235 5218 TDP_361 Drought 6
## 513 2023.07.17 16.03.54 759779 825 3790 TDP_406 Drought 6
## 514 2023.07.17 16.05.04 437599 931 4522 TDP_439 Drought 6
## 515 2023.07.17 16.06.52 18494 915 2635 TDP_443 Control 6
## 516 2023.07.17 16.08.19 112023 651 3371 TDP_132 Control 6
## 517 2023.07.17 16.09.21 58953 748 2518 TDP_256 Control 6
## 518 2023.07.17 16.10.26 413899 874 4479 TDP_390 Control 6
## 519 2023.07.17 16.11.32 146373 1034 3115 TDP_443 Drought 6
## 520 2023.07.17 16.12.22 247191 1218 2694 TDP_132 Drought 6
## 521 2023.07.17 16.13.15 28649 485 790 TDP_256 Drought 6
## 522 2023.07.17 16.14.06 45059 751 2413 TDP_390 Drought 6
## 523 2023.07.17 14.59.16 954378 <NA> <NA> TDP_383 Control 6
## 524 2023.07.19 09.38.02 188894 801 2784 TDP_351 Control 8
## 525 2023.07.19 09.38.57 700664 1243 4883 TDP_444 Control 8
## 526 2023.07.19 09.42.09 176187 1032 2669 TDP_445 Control 8
## 527 2023.07.19 09.43.10 515770 884 3643 TDP_354 Control 8
## 528 2023.07.19 09.44.09 573547 938 4836 TDP_352 Control 8
## 529 2023.07.19 09.45.25 526276 1029 4629 TDP_351 Drought 8
## 530 2023.07.19 09.48.57 230199 1054 3678 TDP_444 Drought 8
## 531 2023.07.19 09.50.31 163046 676 2117 TDP_445 Drought 8
## 532 2023.07.19 09.51.55 162823 900 3466 TDP_354 Drought 8
## 533 2023.07.19 09.52.50 367468 895 4281 TDP_352 Drought 8
## 534 2023.07.19 09.54.51 1345967 1435 5053 TDP_440 Control 8
## 535 2023.07.19 09.57.08 1439529 1097 5366 TDP_441 Control 8
## 536 2023.07.19 09.59.24 540869 1080 3727 TDP_442 Control 8
## 537 2023.07.19 10.03.24 256446 1096 2940 TDP_446 Control 8
## 538 2023.07.19 10.07.33 413069 916 4094 TDP_440 Drought 8
## 539 2023.07.19 10.10.20 911594 1107 4717 TDP_441 Drought 8
## 540 2023.07.19 10.15.00 367921 836 3859 TDP_442 Drought 8
## 541 2023.07.19 10.23.21 829069 1077 5283 TDP_374 Control 8
## 542 2023.07.19 10.25.07 1531244 1157 5955 TDP_375 Control 8
## 543 2023.07.19 10.26.35 1217134 1141 6580 TDP_376 Control 8
## 544 2023.07.19 10.27.55 1255214 1251 5348 TDP_380 Control 8
## 545 2023.07.19 10.29.00 691487 1095 4775 TDP_379 Control 8
## 546 2023.07.19 10.30.41 1067048 1337 5766 TDP_374 Drought 8
## 547 2023.07.19 10.32.14 466386 1049 3850 TDP_375 Drought 8
## 548 2023.07.19 10.34.25 647652 1289 4332 TDP_376 Drought 8
## 549 2023.07.19 10.55.43 747255 1204 3910 TDP_380 Drought 8
## 550 2023.07.19 10.57.34 805573 1203 5143 TDP_379 Drought 8
## 551 2023.07.19 10.59.21 1112485 1085 5522 TDP_370 Control 8
## 552 2023.07.19 11.00.49 534843 1143 3086 TDP_416 Control 8
## 553 2023.07.19 11.02.16 634905 1229 3376 TDP_373 Control 8
## 554 2023.07.19 11.04.45 1728035 1017 6233 TDP_372 Control 8
## 555 2023.07.19 11.12.39 1619387 1446 6231 TDP_377 Control 8
## 556 2023.07.19 11.15.05 423709 1126 3442 TDP_370 Drought 8
## 557 2023.07.19 11.25.23 576700 1283 4126 TDP_373 Drought 8
## 558 2023.07.19 11.26.43 201437 1118 3625 TDP_372 Drought 8
## 559 2023.07.19 11.28.21 493197 1234 3759 TDP_377 Drought 8
## 560 2023.07.19 11.29.42 1061493 933 6369 TDP_367 Control 8
## 561 2023.07.19 11.31.22 642828 996 4007 TDP_368 Control 8
## 562 2023.07.19 11.32.16 1939235 1357 5139 TDP_369 Control 8
## 563 2023.07.19 11.33.31 626680 1165 4625 TDP_400 Control 8
## 564 2023.07.19 11.34.48 61915 456 2543 TDP_388 Control 8
## 565 2023.07.19 11.37.44 1008181 787 5535 TDP_367 Drought 8
## 566 2023.07.19 11.38.58 1000386 1254 4376 TDP_368 Drought 8
## 567 2023.07.19 11.41.23 745612 1257 4367 TDP_369 Drought 8
## 568 2023.07.19 11.42.36 780021 1108 5614 TDP_400 Drought 8
## 569 2023.07.19 11.45.27 546199 1004 3971 TDP_388 Drought 8
## 570 2023.07.19 11.47.11 1179344 1204 4715 TDP_385 Control 8
## 571 2023.07.19 11.54.25 234856 1161 2918 TDP_392 Control 8
## 572 2023.07.19 12.07.39 610478 1039 4239 TDP_386 Control 8
## 573 2023.07.19 12.08.33 661117 1239 4666 TDP_409 Control 8
## 574 2023.07.19 12.10.01 99046 867 2411 TDP_396 Control 8
## 575 2023.07.19 12.11.16 821806 1043 3993 TDP_385 Drought 8
## 576 2023.07.19 12.12.17 249433 1220 4203 TDP_392 Drought 8
## 577 2023.07.19 12.21.42 503766 908 4103 TDP_386 Drought 8
## 578 2023.07.19 12.22.34 255093 1089 3613 TDP_409 Drought 8
## 579 2023.07.19 12.27.53 275716 1053 3414 TDP_396 Drought 8
## 580 2023.07.19 12.32.38 537942 1265 3727 TDP_398 Control 8
## 581 2023.07.19 12.35.40 904590 1097 6249 TDP_433 Control 8
## 582 2023.07.19 12.37.08 649905 1265 4900 TDP_436 Control 8
## 583 2023.07.19 12.39.07 392203 829 2979 TDP_432 Control 8
## 584 2023.07.19 12.42.18 336526 1190 4033 TDP_447 Control 8
## 585 2023.07.19 12.45.43 278707 836 3781 TDP_433 Drought 8
## 586 2023.07.19 12.46.37 323608 1216 4211 TDP_436 Drought 8
## 587 2023.07.19 12.47.35 748995 948 4924 TDP_432 Drought 8
## 588 2023.07.19 12.48.40 981336 1304 5299 TDP_423 Control 8
## 589 2023.07.19 12.49.32 70414 752 2131 TDP_431 Control 8
## 590 2023.07.19 12.50.38 118076 1285 2595 TDP_382 Control 8
## 591 2023.07.19 12.53.07 218422 1100 2824 TDP_394 Control 8
## 592 2023.07.19 12.54.12 679985 1288 4752 TDP_423 Drought 8
## 593 2023.07.19 12.55.02 236254 691 2793 TDP_431 Drought 8
## 594 2023.07.19 12.55.53 327011 1257 3464 TDP_382 Drought 8
## 595 2023.07.19 12.57.35 142097 964 2909 TDP_394 Drought 8
## 596 2023.07.19 12.58.24 697917 1426 4472 TDP_419 Control 8
## 597 2023.07.19 12.59.16 993611 963 5157 TDP_434 Control 8
## 598 2023.07.19 13.00.12 509693 1118 4647 TDP_381 Control 8
## 599 2023.07.19 13.01.59 397923 1184 4105 TDP_384 Control 8
## 600 2023.07.19 13.02.51 530623 1098 3748 TDP_419 Drought 8
## 601 2023.07.19 13.03.43 896287 923 5257 TDP_434 Drought 8
## 602 2023.07.19 13.04.36 596536 1167 4519 TDP_381 Drought 8
## 603 2023.07.19 13.06.56 323217 1094 3054 TDP_384 Drought 8
## 604 2023.07.19 13.10.18 94568 751 2347 TDP_452 Control 8
## 605 2023.07.19 13.11.40 985915 1193 4793 TDP_453 Control 8
## 606 2023.07.19 13.12.38 204007 569 3196 TDP_359_c Control 8
## 607 2023.07.19 13.14.33 384251 1045 3518 TDP_22_c Control 8
## 608 2023.07.19 13.15.30 441391 1141 4219 TDP_383 Drought 8
## 609 2023.07.19 13.16.56 175996 713 2888 TDP_452 Drought 8
## 610 2023.07.19 13.18.12 450492 764 4298 TDP_453 Drought 8
## 611 2023.07.19 13.19.13 285647 1063 3251 TDP_359_c Drought 8
## 612 2023.07.19 13.20.40 629560 1160 4268 TDP_22_c Drought 8
## 613 2023.07.19 13.22.06 93908 994 2309 TDP_447 Control 8
## 614 2023.07.19 13.23.07 975945 1038 5156 TDP_451 Control 8
## 615 2023.07.19 13.24.01 1083802 1028 4940 TDP_448 Control 8
## 616 2023.07.19 13.24.58 831317 1058 5095 TDP_450 Control 8
## 617 2023.07.19 13.25.54 1242333 855 5069 TDP_449 Control 8
## 618 2023.07.19 13.27.08 267206 1055 2649 TDP_447 Drought 8
## 619 2023.07.19 13.28.01 308799 1040 3231 TDP_451 Drought 8
## 620 2023.07.19 13.29.02 137496 425 2644 TDP_448 Drought 8
## 621 2023.07.19 13.29.55 5293 113 511 TDP_450 Drought 8
## 622 2023.07.19 13.30.53 553927 822 4044 TDP_449 Drought 8
## 623 2023.07.19 13.31.44 27738 582 1966 TDP_205 Control 8
## 624 2023.07.19 13.33.41 152909 1037 3615 TDP_350 Control 8
## 625 2023.07.19 13.34.40 493907 1151 5096 TDP_362 Control 8
## 626 2023.07.19 13.35.37 230377 934 2523 TDP_363 Control 8
## 627 2023.07.19 13.36.55 51058 556 3049 TDP_205 Drought 8
## 628 2023.07.19 13.39.40 23708 466 1980 TDP_350 Drought 8
## 629 2023.07.19 13.40.37 59384 699 1591 TDP_362 Drought 8
## 630 2023.07.19 13.41.32 399675 937 3454 TDP_363 Drought 8
## 631 2023.07.19 13.42.24 1046775 790 5708 TDP_364 Control 8
## 632 2023.07.19 13.43.17 792872 1090 4665 TDP_357 Control 8
## 633 2023.07.19 13.44.15 105843 693 3725 TDP_344 Control 8
## 634 2023.07.19 13.45.13 536088 647 5072 TDP_364 Drought 8
## 635 2023.07.19 13.46.06 435776 686 4188 TDP_357 Drought 8
## 636 2023.07.19 13.48.10 691021 1138 4436 TDP_360 Control 8
## 637 2023.07.19 13.49.03 129242 990 2348 TDP_358 Control 8
## 638 2023.07.19 13.49.59 959319 695 4874 TDP_361 Control 8
## 639 2023.07.19 13.50.52 1130496 1017 4728 TDP_406 Control 8
## 640 2023.07.19 13.51.49 1305685 1195 6426 TDP_439 Control 8
## 641 2023.07.19 13.52.46 394959 972 4005 TDP_358 Drought 8
## 642 2023.07.19 13.55.18 669818 1165 5445 TDP_361 Drought 8
## 643 2023.07.19 13.56.23 830637 922 3847 TDP_406 Drought 8
## 644 2023.07.19 13.57.53 559541 765 4658 TDP_439 Drought 8
## 645 2023.07.19 13.58.45 22181 899 1666 TDP_443 Control 8
## 646 2023.07.19 13.59.36 112947 623 3474 TDP_132 Control 8
## 647 2023.07.19 14.00.28 70070 831 2601 TDP_256 Control 8
## 648 2023.07.19 14.01.25 518088 926 3852 TDP_390 Control 8
## 649 2023.07.19 14.02.17 112817 1022 2833 TDP_443 Drought 8
## 650 2023.07.19 14.03.10 189971 1191 2437 TDP_132 Drought 8
## 651 2023.07.19 14.04.04 23363 467 811 TDP_256 Drought 8
## 652 2023.07.19 14.04.59 44145 765 2191 TDP_390 Drought 8
## 653 2023.07.19 13.08.23 795986 <NA> <NA> TDP_383 Control 8
## 654 2023.07.21 13.34.43 134573 726 2477 TDP_351 Control 10
## 655 2023.07.21 13.35.47 851599 1177 4574 TDP_444 Control 10
## 656 2023.07.21 13.38.21 210031 870 2400 TDP_445 Control 10
## 657 2023.07.21 13.39.59 538450 810 4255 TDP_354 Control 10
## 658 2023.07.21 13.40.52 713410 905 4795 TDP_352 Control 10
## 659 2023.07.21 13.43.05 524050 1015 4801 TDP_351 Drought 10
## 660 2023.07.21 13.43.57 220812 1096 3717 TDP_444 Drought 10
## 661 2023.07.21 13.44.50 172116 720 2430 TDP_445 Drought 10
## 662 2023.07.21 13.45.48 217515 886 3412 TDP_354 Drought 10
## 663 2023.07.21 13.46.46 403987 927 4162 TDP_352 Drought 10
## 664 2023.07.21 13.50.10 1340125 1406 5044 TDP_440 Control 10
## 665 2023.07.21 13.51.05 1609952 1186 6224 TDP_441 Control 10
## 666 2023.07.21 13.52.01 523714 1029 3743 TDP_442 Control 10
## 667 2023.07.21 13.52.59 249133 1050 2845 TDP_446 Control 10
## 668 2023.07.21 13.54.58 394464 930 4158 TDP_440 Drought 10
## 669 2023.07.21 13.55.51 1082061 1073 4857 TDP_441 Drought 10
## 670 2023.07.21 13.56.58 416786 829 3857 TDP_442 Drought 10
## 671 2023.07.21 13.57.49 169259 973 3561 TDP_446 Drought 10
## 672 2023.07.21 14.00.01 1033713 1116 4970 TDP_374 Control 10
## 673 2023.07.21 14.01.22 1669686 1282 6322 TDP_375 Control 10
## 674 2023.07.21 14.02.21 1459449 1236 7105 TDP_376 Control 10
## 675 2023.07.21 14.03.49 1321930 1322 5009 TDP_380 Control 10
## 676 2023.07.21 14.04.42 785198 1135 4894 TDP_379 Control 10
## 677 2023.07.21 14.06.45 1150512 1144 5111 TDP_374 Drought 10
## 678 2023.07.21 14.07.37 444505 1017 4060 TDP_375 Drought 10
## 679 2023.07.21 14.08.26 686077 1263 4510 TDP_376 Drought 10
## 680 2023.07.21 14.10.06 776438 1226 3980 TDP_380 Drought 10
## 681 2023.07.21 14.10.58 915368 1186 4801 TDP_379 Drought 10
## 682 2023.07.21 14.13.27 1447687 1228 5723 TDP_370 Control 10
## 683 2023.07.21 14.14.20 539548 1151 3013 TDP_416 Control 10
## 684 2023.07.21 14.15.16 556397 1177 3383 TDP_373 Control 10
## 685 2023.07.21 14.17.11 552383 1184 3565 TDP_373 Control 10
## 686 2023.07.21 14.18.05 2075683 1215 5836 TDP_372 Control 10
## 687 2023.07.21 14.19.19 1963868 1254 6306 TDP_377 Control 10
## 688 2023.07.21 14.21.06 451712 1148 3349 TDP_370 Drought 10
## 689 2023.07.21 14.22.21 545625 1277 4100 TDP_373 Drought 10
## 690 2023.07.21 14.23.17 184407 1047 3468 TDP_372 Drought 10
## 691 2023.07.21 14.24.26 527664 1305 4000 TDP_377 Drought 10
## 692 2023.07.21 14.25.31 1224683 1055 6507 TDP_367 Control 10
## 693 2023.07.21 14.26.43 517159 998 3916 TDP_368 Control 10
## 694 2023.07.21 14.27.55 1904830 1200 5245 TDP_369 Control 10
## 695 2023.07.21 14.29.00 832676 1105 4837 TDP_400 Control 10
## 696 2023.07.21 14.29.58 65064 420 2377 TDP_388 Control 10
## 697 2023.07.21 14.30.50 1020682 835 6146 TDP_367 Drought 10
## 698 2023.07.21 14.32.17 1013797 1304 4296 TDP_368 Drought 10
## 699 2023.07.21 14.33.21 842434 1056 4444 TDP_369 Drought 10
## 700 2023.07.21 14.34.48 852300 1161 5399 TDP_400 Drought 10
## 701 2023.07.21 14.35.40 640787 964 4036 TDP_388 Drought 10
## 702 2023.07.21 14.36.51 1098744 1214 4806 TDP_385 Control 10
## 703 2023.07.21 14.37.51 214682 1196 2827 TDP_392 Control 10
## 704 2023.07.21 14.38.44 797929 1148 4269 TDP_386 Control 10
## 705 2023.07.21 14.39.43 756058 1310 4794 TDP_409 Control 10
## 706 2023.07.21 14.40.38 100616 771 2312 TDP_396 Control 10
## 707 2023.07.21 14.41.50 900414 1078 4225 TDP_385 Drought 10
## 708 2023.07.21 14.42.52 206005 1208 3562 TDP_392 Drought 10
## 709 2023.07.21 14.43.47 491585 958 4069 TDP_386 Drought 10
## 710 2023.07.21 14.44.52 224103 1076 3292 TDP_409 Drought 10
## 711 2023.07.21 14.46.13 214902 1159 3535 TDP_396 Drought 10
## 712 2023.07.21 14.47.18 504488 1264 3835 TDP_398 Control 10
## 713 2023.07.21 14.48.17 1112565 1067 5851 TDP_433 Control 10
## 714 2023.07.21 14.49.54 839664 1274 5207 TDP_436 Control 10
## 715 2023.07.21 14.51.21 411709 811 2806 TDP_432 Control 10
## 716 2023.07.21 14.52.36 276514 1250 3869 TDP_447 Control 10
## 717 2023.07.21 14.53.49 282381 872 3475 TDP_433 Drought 10
## 718 2023.07.21 14.54.54 285966 1203 4306 TDP_436 Drought 10
## 719 2023.07.21 14.55.58 793795 756 4688 TDP_432 Drought 10
## 720 2023.07.21 14.57.06 1040254 1166 5247 TDP_423 Control 10
## 721 2023.07.21 14.58.04 63638 817 2104 TDP_431 Control 10
## 722 2023.07.21 14.59.48 117799 1280 3168 TDP_382 Control 10
## 723 2023.07.21 15.00.47 210007 1053 2651 TDP_394 Control 10
## 724 2023.07.21 15.01.45 672283 1291 4961 TDP_423 Drought 10
## 725 2023.07.21 15.02.58 238082 712 2704 TDP_431 Drought 10
## 726 2023.07.21 15.04.09 266867 1281 3386 TDP_382 Drought 10
## 727 2023.07.21 15.05.09 138213 953 2691 TDP_394 Drought 10
## 728 2023.07.21 15.07.05 666522 1377 4770 TDP_419 Control 10
## 729 2023.07.21 15.08.17 1094009 934 5524 TDP_434 Control 10
## 730 2023.07.21 15.09.18 494104 1121 4424 TDP_381 Control 10
## 731 2023.07.21 15.10.23 334979 1147 3931 TDP_384 Control 10
## 732 2023.07.21 15.11.20 498227 1085 3589 TDP_419 Drought 10
## 733 2023.07.21 15.12.25 961367 925 5129 TDP_434 Drought 10
## 734 2023.07.21 15.13.14 566027 1074 4550 TDP_381 Drought 10
## 735 2023.07.21 15.15.52 278124 1042 2540 TDP_384 Drought 10
## 736 2023.07.21 15.18.01 89705 740 2364 TDP_452 Control 10
## 737 2023.07.21 15.18.58 959807 1016 4796 TDP_453 Control 10
## 738 2023.07.21 15.19.57 235974 628 3335 TDP_359_c Control 10
## 739 2023.07.21 15.20.54 372506 1052 3319 TDP_22_c Control 10
## 740 2023.07.21 15.21.51 300763 977 3761 TDP_383 Drought 10
## 741 2023.07.21 15.22.53 159085 715 2888 TDP_452 Drought 10
## 742 2023.07.21 15.23.58 508089 772 4278 TDP_453 Drought 10
## 743 2023.07.21 15.24.57 308177 896 3059 TDP_359_c Drought 10
## 744 2023.07.21 15.25.58 639150 1134 4017 TDP_22_c Drought 10
## 745 2023.07.21 15.27.02 96131 951 2187 TDP_447 Control 10
## 746 2023.07.21 15.27.55 1439743 1301 5973 TDP_451 Control 10
## 747 2023.07.21 15.28.48 1301253 1074 5026 TDP_448 Control 10
## 748 2023.07.21 15.29.42 926174 1056 4895 TDP_450 Control 10
## 749 2023.07.21 15.35.20 1364018 930 5792 TDP_449 Control 10
## 750 2023.07.21 15.37.05 250315 1031 2577 TDP_447 Drought 10
## 751 2023.07.21 15.38.00 196166 1033 3214 TDP_451 Drought 10
## 752 2023.07.21 15.38.52 188538 523 3495 TDP_448 Drought 10
## 753 2023.07.21 15.39.47 5722 118 519 TDP_450 Drought 10
## 754 2023.07.21 15.40.41 632330 883 4185 TDP_449 Drought 10
## 755 2023.07.21 15.41.48 41578 632 2448 TDP_205 Control 10
## 756 2023.07.21 15.42.56 193912 959 4011 TDP_350 Control 10
## 757 2023.07.21 15.43.57 880201 1178 5548 TDP_362 Control 10
## 758 2023.07.21 15.44.56 212966 861 2686 TDP_363 Control 10
## 759 2023.07.21 15.46.04 70323 670 3240 TDP_205 Drought 10
## 760 2023.07.21 15.46.58 21631 471 1822 TDP_350 Drought 10
## 761 2023.07.21 15.48.02 61183 755 1581 TDP_362 Drought 10
## 762 2023.07.21 15.49.15 417864 839 4846 TDP_363 Drought 10
## 763 2023.07.21 15.50.49 1177900 966 6342 TDP_364 Control 10
## 764 2023.07.21 15.51.43 1342511 1191 5116 TDP_357 Control 10
## 765 2023.07.21 15.52.39 172461 608 4630 TDP_344 Control 10
## 766 2023.07.21 15.53.35 623977 763 5316 TDP_364 Drought 10
## 767 2023.07.21 15.57.05 128399 942 2272 TDP_358 Control 10
## 768 2023.07.21 15.58.00 1065120 1062 5138 TDP_360 Control 10
## 769 2023.07.21 15.59.15 1293298 852 6005 TDP_361 Control 10
## 770 2023.07.21 16.00.07 1373930 1115 5856 TDP_406 Control 10
## 771 2023.07.21 16.01.15 1435090 1126 6539 TDP_439 Control 10
## 772 2023.07.21 16.02.08 977078 1134 6096 TDP_361 Drought 10
## 773 2023.07.21 16.04.54 347205 890 3847 TDP_358 Drought 10
## 774 2023.07.21 16.06.56 969775 933 4079 TDP_406 Drought 10
## 775 2023.07.21 16.07.50 668301 670 5597 TDP_439 Drought 10
## 776 2023.07.21 16.09.07 37175 934 2103 TDP_443 Control 10
## 777 2023.07.21 16.10.00 101368 634 3553 TDP_132 Control 10
## 778 2023.07.21 16.10.54 61151 967 2457 TDP_256 Control 10
## 779 2023.07.21 16.12.05 521297 1114 3926 TDP_390 Control 10
## 780 2023.07.21 16.13.03 168601 997 2962 TDP_443 Drought 10
## 781 2023.07.21 16.13.57 169522 1089 2655 TDP_132 Drought 10
## 782 2023.07.21 16.15.00 21698 440 799 TDP_256 Drought 10
## 783 2023.07.21 16.16.12 54137 693 2320 TDP_390 Drought 10
## 784 2023.07.21 15.16.57 739075 <NA> <NA> TDP_383 Control 10
## 785 2023.07.23 12.01.37 122775 667 2496 TDP_351 Control 12
## 786 2023.07.23 12.05.17 823005 1176 4467 TDP_444 Control 12
## 787 2023.07.23 12.06.14 236733 900 2334 TDP_445 Control 12
## 788 2023.07.23 12.07.10 636684 891 4570 TDP_354 Control 12
## 789 2023.07.23 12.08.12 874273 931 5254 TDP_352 Control 12
## 790 2023.07.23 12.10.25 655217 1088 4228 TDP_351 Drought 12
## 791 2023.07.23 12.12.48 240705 1089 4162 TDP_444 Drought 12
## 792 2023.07.23 12.14.46 168660 465 3239 TDP_445 Drought 12
## 793 2023.07.23 12.18.26 251516 1040 3685 TDP_354 Drought 12
## 794 2023.07.23 12.20.14 495406 947 3990 TDP_352 Drought 12
## 795 2023.07.23 12.23.36 1243401 1352 4848 TDP_440 Control 12
## 796 2023.07.23 12.27.58 1789962 1254 5421 TDP_441 Control 12
## 797 2023.07.23 12.33.27 525731 1022 3570 TDP_442 Control 12
## 798 2023.07.23 12.38.09 225767 1064 2901 TDP_446 Control 12
## 799 2023.07.23 12.42.14 342826 964 4049 TDP_440 Drought 12
## 800 2023.07.23 12.44.13 1089219 1114 4808 TDP_441 Drought 12
## 801 2023.07.23 12.45.20 451135 873 3713 TDP_442 Drought 12
## 802 2023.07.23 12.47.05 144632 942 3451 TDP_446 Drought 12
## 803 2023.07.23 12.48.59 1111726 1217 4771 TDP_374 Control 12
## 804 2023.07.23 12.50.24 1825102 1247 6110 TDP_375 Control 12
## 805 2023.07.23 12.51.48 1723827 1461 7193 TDP_376 Control 12
## 806 2023.07.23 12.54.29 1566378 1270 5951 TDP_380 Control 12
## 807 2023.07.23 12.56.12 1000210 1287 5544 TDP_379 Control 12
## 808 2023.07.23 12.58.16 1183073 1283 5138 TDP_374 Drought 12
## 809 2023.07.23 13.00.55 390578 1041 3741 TDP_375 Drought 12
## 810 2023.07.23 13.02.19 663689 1272 4460 TDP_376 Drought 12
## 811 2023.07.23 13.04.15 775057 1216 4058 TDP_380 Drought 12
## 812 2023.07.23 13.06.06 1024607 1246 5291 TDP_379 Drought 12
## 813 2023.07.23 13.09.08 1639800 1295 5946 TDP_370 Control 12
## 814 2023.07.23 13.12.33 483977 1195 3205 TDP_416 Control 12
## 815 2023.07.23 13.13.50 499410 1185 3304 TDP_373 Control 12
## 816 2023.07.23 13.15.41 2289549 1395 6735 TDP_372 Control 12
## 817 2023.07.23 13.16.52 2404476 1309 6903 TDP_377 Control 12
## 818 2023.07.23 13.20.10 520461 1207 3187 TDP_370 Drought 12
## 819 2023.07.23 13.22.52 476201 1266 3787 TDP_373 Drought 12
## 820 2023.07.23 13.23.45 156446 1021 3378 TDP_372 Drought 12
## 821 2023.07.23 13.25.45 527362 1266 3657 TDP_377 Drought 12
## 822 2023.07.23 13.29.56 1532869 1142 6951 TDP_367 Control 12
## 823 2023.07.23 13.31.02 445433 956 3861 TDP_368 Control 12
## 824 2023.07.23 13.31.57 2103289 1217 5351 TDP_369 Control 12
## 825 2023.07.23 13.33.42 970413 1228 4881 TDP_400 Control 12
## 826 2023.07.23 13.35.48 61910 261 2545 TDP_388 Control 12
## 827 2023.07.23 13.37.34 1159340 891 6127 TDP_367 Drought 12
## 828 2023.07.23 13.40.24 970618 1240 4321 TDP_368 Drought 12
## 829 2023.07.23 13.42.23 908319 1077 4048 TDP_369 Drought 12
## 830 2023.07.23 13.44.37 905579 1189 6087 TDP_400 Drought 12
## 831 2023.07.23 13.47.45 697226 933 4085 TDP_388 Drought 12
## 832 2023.07.23 14.49.57 1081731 1220 4667 TDP_385 Control 12
## 833 2023.07.23 14.51.04 194402 1162 2918 TDP_392 Control 12
## 834 2023.07.23 14.53.23 1001631 982 4584 TDP_386 Control 12
## 835 2023.07.23 14.54.25 913354 1392 5177 TDP_409 Control 12
## 836 2023.07.23 14.56.06 84923 746 2253 TDP_396 Control 12
## 837 2023.07.23 14.57.10 976998 1087 4082 TDP_385 Drought 12
## 838 2023.07.23 14.58.30 157713 1197 3372 TDP_392 Drought 12
## 839 2023.07.23 14.59.24 483563 971 4174 TDP_386 Drought 12
## 840 2023.07.23 15.00.14 172634 1063 3292 TDP_409 Drought 12
## 841 2023.07.23 15.01.14 153818 1111 3283 TDP_396 Drought 12
## 842 2023.07.23 15.02.03 500446 1268 3847 TDP_398 Control 12
## 843 2023.07.23 15.03.06 1413214 1274 6419 TDP_433 Control 12
## 844 2023.07.23 15.04.02 826850 1192 4776 TDP_436 Control 12
## 845 2023.07.23 15.05.50 398252 805 2865 TDP_432 Control 12
## 846 2023.07.23 15.06.42 250263 1216 3947 TDP_447 Control 12
## 847 2023.07.23 15.07.52 301992 801 3638 TDP_433 Drought 12
## 848 2023.07.23 15.08.46 308167 1265 4184 TDP_436 Drought 12
## 849 2023.07.23 15.09.38 946090 718 5110 TDP_432 Drought 12
## 850 2023.07.23 15.10.48 1039233 1211 5368 TDP_423 Control 12
## 851 2023.07.23 15.12.12 60009 799 2212 TDP_431 Control 12
## 852 2023.07.23 15.13.14 101397 1293 3153 TDP_382 Control 12
## 853 2023.07.23 15.14.07 193761 1007 3026 TDP_394 Control 12
## 854 2023.07.23 15.15.15 678599 1174 4248 TDP_423 Drought 12
## 855 2023.07.23 15.16.19 221311 673 2566 TDP_431 Drought 12
## 856 2023.07.23 15.17.16 230660 1361 3379 TDP_382 Drought 12
## 857 2023.07.23 15.18.08 129364 964 2959 TDP_394 Drought 12
## 858 2023.07.23 15.19.09 574580 1332 4367 TDP_419 Control 12
## 859 2023.07.23 15.20.23 1256197 995 6419 TDP_434 Control 12
## 860 2023.07.23 15.21.19 430038 1146 4333 TDP_381 Control 12
## 861 2023.07.23 15.22.08 313430 1117 4041 TDP_384 Control 12
## 862 2023.07.23 15.22.57 421528 1100 3375 TDP_419 Drought 12
## 863 2023.07.23 15.24.00 1144471 976 5008 TDP_434 Drought 12
## 864 2023.07.23 15.24.52 580738 1042 4557 TDP_381 Drought 12
## 865 2023.07.23 15.25.44 225663 1030 2241 TDP_384 Drought 12
## 866 2023.07.23 15.27.39 83221 745 2352 TDP_452 Control 12
## 867 2023.07.23 15.28.56 847098 967 4676 TDP_453 Control 12
## 868 2023.07.23 15.29.58 303076 796 3581 TDP_359_c Control 12
## 869 2023.07.23 15.30.57 357750 1075 3287 TDP_22_c Control 12
## 870 2023.07.23 15.31.47 221548 1125 3424 TDP_383 Drought 12
## 871 2023.07.23 15.32.39 128187 729 2801 TDP_452 Drought 12
## 872 2023.07.23 15.34.00 495726 779 4110 TDP_453 Drought 12
## 873 2023.07.23 15.34.55 314502 901 2642 TDP_359_c Drought 12
## 874 2023.07.23 15.36.08 545053 1138 4122 TDP_22_c Drought 12
## 875 2023.07.23 15.37.03 100900 1021 3004 TDP_447 Control 12
## 876 2023.07.23 15.37.54 1876488 1069 6553 TDP_451 Control 12
## 877 2023.07.23 15.39.00 1396626 1075 5270 TDP_448 Control 12
## 878 2023.07.23 15.39.53 1071010 1088 5430 TDP_450 Control 12
## 879 2023.07.23 15.40.55 1347686 968 5602 TDP_449 Control 12
## 880 2023.07.23 15.42.12 235894 972 2349 TDP_447 Drought 12
## 881 2023.07.23 15.43.05 287131 641 3699 TDP_448 Drought 12
## 882 2023.07.23 15.43.56 200093 1054 3252 TDP_451 Drought 12
## 883 2023.07.23 15.44.55 7177 168 534 TDP_450 Drought 12
## 884 2023.07.23 15.45.46 714086 912 4544 TDP_449 Drought 12
## 885 2023.07.23 15.46.36 32496 620 1852 TDP_205 Control 12
## 886 2023.07.23 15.47.27 305808 831 3911 TDP_350 Control 12
## 887 2023.07.23 15.48.18 1374873 1270 5821 TDP_362 Control 12
## 888 2023.07.23 15.49.09 200208 858 2812 TDP_363 Control 12
## 889 2023.07.23 15.50.03 88869 782 3439 TDP_205 Drought 12
## 890 2023.07.23 15.50.53 25578 440 1965 TDP_350 Drought 12
## 891 2023.07.23 15.51.49 55176 772 1373 TDP_362 Drought 12
## 892 2023.07.23 15.52.40 564721 790 4724 TDP_363 Drought 12
## 893 2023.07.23 15.53.49 1855073 947 6887 TDP_364 Control 12
## 894 2023.07.23 15.54.40 1382579 973 6304 TDP_357 Control 12
## 895 2023.07.23 15.55.32 314718 781 4824 TDP_344 Control 12
## 896 2023.07.23 15.56.22 781066 696 5597 TDP_364 Drought 12
## 897 2023.07.23 15.57.13 578446 762 4201 TDP_357 Drought 12
## 898 2023.07.23 15.58.04 130440 1002 2461 TDP_358 Control 12
## 899 2023.07.23 15.58.56 1541547 1054 6084 TDP_360 Control 12
## 900 2023.07.23 15.59.45 1463829 1235 6790 TDP_361 Control 12
## 901 2023.07.23 16.00.34 1714237 1034 6198 TDP_406 Control 12
## 902 2023.07.23 16.01.24 1867304 1106 6396 TDP_439 Control 12
## 903 2023.07.23 16.02.15 321348 864 3833 TDP_358 Drought 12
## 904 2023.07.23 16.03.08 1054899 1034 4268 TDP_406 Drought 12
## 905 2023.07.23 16.03.57 829485 778 5851 TDP_439 Drought 12
## 906 2023.07.23 16.04.49 40466 945 2057 TDP_443 Control 12
## 907 2023.07.23 16.05.40 115433 641 3514 TDP_132 Control 12
## 908 2023.07.23 16.06.28 72231 723 2855 TDP_256 Control 12
## 909 2023.07.23 16.07.16 497442 888 3545 TDP_390 Control 12
## 910 2023.07.23 16.08.05 153404 1047 2908 TDP_443 Drought 12
## 911 2023.07.23 16.08.54 154196 1018 2578 TDP_132 Drought 12
## 912 2023.07.23 16.09.45 18803 421 931 TDP_256 Drought 12
## 913 2023.07.23 16.10.34 57295 674 2973 TDP_390 Drought 12
## 914 2023.07.23 15.26.33 693860 <NA> <NA> TDP_383 Control 12
## 915 2023.07.25 10.03.23 127169 452 2510 TDP_351 Control 14
## 916 2023.07.25 10.10.48 829461 1146 4468 TDP_444 Control 14
## 917 2023.07.25 10.19.02 249572 944 2443 TDP_445 Control 14
## 918 2023.07.25 10.22.16 747845 846 4489 TDP_354 Control 14
## 919 2023.07.25 10.24.09 1018205 918 5065 TDP_352 Control 14
## 920 2023.07.25 10.28.49 1020855 920 5015 TDP_352 Control 14
## 921 2023.07.25 10.30.00 716912 1014 4319 TDP_351 Drought 14
## 922 2023.07.25 10.30.54 215640 1122 3476 TDP_444 Drought 14
## 923 2023.07.25 10.31.45 154270 761 1961 TDP_445 Drought 14
## 924 2023.07.25 10.32.44 275561 959 3780 TDP_354 Drought 14
## 925 2023.07.25 10.33.44 482556 911 3966 TDP_352 Drought 14
## 926 2023.07.25 10.34.53 1208089 1224 4585 TDP_440 Control 14
## 927 2023.07.25 10.35.49 1886876 1234 5598 TDP_441 Control 14
## 928 2023.07.25 10.36.43 527637 962 3473 TDP_442 Control 14
## 929 2023.07.25 10.37.34 215953 1038 2961 TDP_446 Control 14
## 930 2023.07.25 10.38.28 309499 889 4141 TDP_440 Drought 14
## 931 2023.07.25 10.39.21 1081110 1130 4826 TDP_441 Drought 14
## 932 2023.07.25 10.40.52 443482 908 3668 TDP_442 Drought 14
## 933 2023.07.25 10.41.44 121195 922 3184 TDP_446 Drought 14
## 934 2023.07.25 10.42.43 1223897 1254 4486 TDP_374 Control 14
## 935 2023.07.25 10.44.21 1727510 1287 6434 TDP_375 Control 14
## 936 2023.07.25 10.45.22 2060979 1195 7304 TDP_376 Control 14
## 937 2023.07.25 10.47.20 2033051 1192 7407 TDP_376 Control 14
## 938 2023.07.25 10.48.18 1531742 1265 6314 TDP_380 Control 14
## 939 2023.07.25 10.49.56 1242932 1212 5582 TDP_379 Control 14
## 940 2023.07.25 10.51.38 1259924 1259 5093 TDP_374 Drought 14
## 941 2023.07.25 10.53.00 384286 1026 3915 TDP_375 Drought 14
## 942 2023.07.25 10.53.52 622038 1277 4312 TDP_376 Drought 14
## 943 2023.07.25 10.54.46 840509 1258 4004 TDP_380 Drought 14
## 944 2023.07.25 10.56.04 914240 1129 5026 TDP_379 Drought 14
## 945 2023.07.25 10.57.14 1873276 1325 6844 TDP_370 Control 14
## 946 2023.07.25 10.58.13 939683 1096 4986 TDP_379 Drought 14
## 947 2023.07.25 10.59.29 1911470 1311 6705 TDP_370 Control 14
## 948 2023.07.25 11.01.09 449500 1176 3161 TDP_416 Control 14
## 949 2023.07.25 11.02.23 433966 1201 3224 TDP_373 Control 14
## 950 2023.07.25 11.03.16 2501447 1262 6989 TDP_372 Control 14
## 951 2023.07.25 11.04.11 2219313 1269 6506 TDP_377 Control 14
## 952 2023.07.25 11.05.20 2472636 1275 6784 TDP_372 Control 14
## 953 2023.07.25 11.06.15 2214724 1263 6440 TDP_377 Control 14
## 954 2023.07.25 11.07.18 552538 1178 3227 TDP_370 Drought 14
## 955 2023.07.25 11.08.10 431476 1298 3966 TDP_373 Drought 14
## 956 2023.07.25 11.09.04 155385 1043 3283 TDP_372 Drought 14
## 957 2023.07.25 11.10.36 542181 1289 3621 TDP_377 Drought 14
## 958 2023.07.25 11.11.38 1650703 1119 7597 TDP_367 Control 14
## 959 2023.07.25 11.12.32 444347 967 3595 TDP_368 Control 14
## 960 2023.07.25 11.13.23 2086701 1258 6007 TDP_369 Control 14
## 961 2023.07.25 11.14.16 1022546 1225 4756 TDP_400 Control 14
## 962 2023.07.25 11.15.14 58074 326 2502 TDP_388 Control 14
## 963 2023.07.25 11.16.18 1260419 935 6118 TDP_367 Drought 14
## 964 2023.07.25 11.17.13 930479 1266 4084 TDP_368 Drought 14
## 965 2023.07.25 11.18.05 961841 1092 4150 TDP_369 Drought 14
## 966 2023.07.25 11.18.56 980566 1205 4731 TDP_400 Drought 14
## 967 2023.07.25 11.19.47 742640 905 4066 TDP_388 Drought 14
## 968 2023.07.25 11.21.25 1086477 1197 4657 TDP_385 Control 14
## 969 2023.07.25 11.22.37 746287 911 4126 TDP_388 Drought 14
## 970 2023.07.25 11.23.29 1088471 1178 4610 TDP_385 Control 14
## 971 2023.07.25 11.24.23 164065 1173 2843 TDP_392 Control 14
## 972 2023.07.25 11.25.17 1153358 1085 4900 TDP_386 Control 14
## 973 2023.07.25 11.26.14 900713 995 6042 TDP_409 Control 14
## 974 2023.07.25 11.27.05 75442 489 2245 TDP_396 Control 14
## 975 2023.07.25 11.29.06 981037 1088 4053 TDP_385 Drought 14
## 976 2023.07.25 11.30.00 134960 1145 3312 TDP_392 Drought 14
## 977 2023.07.25 11.31.38 484036 941 3945 TDP_386 Drought 14
## 978 2023.07.25 11.32.32 141358 1086 3072 TDP_409 Drought 14
## 979 2023.07.25 11.33.27 138877 1023 3153 TDP_396 Drought 14
## 980 2023.07.25 11.35.35 468980 1280 3795 TDP_398 Control 14
## 981 2023.07.25 11.36.27 1586173 1228 6503 TDP_433 Control 14
## 982 2023.07.25 12.04.39 1006583 1188 4771 TDP_436 Control 14
## 983 2023.07.25 12.05.41 388153 803 2977 TDP_432 Control 14
## 984 2023.07.25 12.06.44 218677 1268 3887 TDP_447 Control 14
## 985 2023.07.25 12.07.45 302383 827 3561 TDP_433 Drought 14
## 986 2023.07.25 12.08.35 317319 1224 4311 TDP_436 Drought 14
## 987 2023.07.25 12.09.27 903302 774 5067 TDP_432 Drought 14
## 988 2023.07.25 12.11.02 1202521 1239 5386 TDP_423 Control 14
## 989 2023.07.25 12.13.04 62806 832 2190 TDP_431 Control 14
## 990 2023.07.25 12.13.57 107465 1247 3053 TDP_382 Control 14
## 991 2023.07.25 12.14.48 184949 1029 3058 TDP_394 Control 14
## 992 2023.07.25 12.17.15 706698 1221 4342 TDP_423 Drought 14
## 993 2023.07.25 12.19.18 182749 664 2816 TDP_431 Drought 14
## 994 2023.07.25 12.20.17 220597 1294 3340 TDP_382 Drought 14
## 995 2023.07.25 12.21.10 115491 972 2995 TDP_394 Drought 14
## 996 2023.07.25 12.23.05 630214 1410 4325 TDP_419 Control 14
## 997 2023.07.25 12.25.46 1310574 1080 5831 TDP_434 Control 14
## 998 2023.07.25 12.26.38 347232 1077 4128 TDP_381 Control 14
## 999 2023.07.25 12.27.29 309963 1151 3975 TDP_384 Control 14
## 1000 2023.07.25 12.29.57 405204 1092 3303 TDP_419 Drought 14
## 1001 2023.07.25 12.31.14 1087144 1049 5096 TDP_434 Drought 14
## 1002 2023.07.25 12.32.16 536597 1030 4417 TDP_381 Drought 14
## 1003 2023.07.25 12.33.08 191409 1040 2229 TDP_384 Drought 14
## 1004 2023.07.25 12.37.40 96683 749 2294 TDP_452 Control 14
## 1005 2023.07.25 12.38.36 766520 1012 4614 TDP_453 Control 14
## 1006 2023.07.25 12.39.55 309009 979 3724 TDP_359_c Control 14
## 1007 2023.07.25 12.40.53 354466 1072 3270 TDP_22_c Control 14
## 1008 2023.07.25 12.42.17 151131 891 3419 TDP_383 Drought 14
## 1009 2023.07.25 12.43.08 103131 733 2843 TDP_452 Drought 14
## 1010 2023.07.25 12.44.01 489352 783 3923 TDP_453 Drought 14
## 1011 2023.07.25 12.46.17 312560 909 2615 TDP_359_c Drought 14
## 1012 2023.07.25 12.47.15 503560 1118 3965 TDP_22_c Drought 14
## 1013 2023.07.25 12.48.49 99747 765 2626 TDP_447 Control 14
## 1014 2023.07.25 12.49.48 2109873 1206 6515 TDP_451 Control 14
## 1015 2023.07.25 12.50.40 1612104 1117 5587 TDP_448 Control 14
## 1016 2023.07.25 12.51.33 1116588 1099 5825 TDP_450 Control 14
## 1017 2023.07.25 12.52.26 1339174 1127 5729 TDP_449 Control 14
## 1018 2023.07.25 12.53.49 228023 1005 2410 TDP_447 Drought 14
## 1019 2023.07.25 12.54.43 192486 1094 3294 TDP_451 Drought 14
## 1020 2023.07.25 12.55.46 438234 555 4707 TDP_448 Drought 14
## 1021 2023.07.25 13.39.35 11826 214 578 TDP_450 Drought 14
## 1022 2023.07.25 13.41.20 701229 906 4885 TDP_449 Drought 14
## 1023 2023.07.25 13.42.52 41557 678 2218 TDP_205 Control 14
## 1024 2023.07.25 13.43.43 393457 925 4020 TDP_350 Control 14
## 1025 2023.07.25 13.44.39 2005847 1231 5855 TDP_362 Control 14
## 1026 2023.07.25 13.45.39 223133 878 2712 TDP_363 Control 14
## 1027 2023.07.25 13.47.30 67725 944 3524 TDP_205 Drought 14
## 1028 2023.07.25 13.48.53 24440 551 1359 TDP_350 Drought 14
## 1029 2023.07.25 13.50.17 45200 301 1334 TDP_362 Drought 14
## 1030 2023.07.25 13.51.10 449014 760 4864 TDP_363 Drought 14
## 1031 2023.07.25 13.52.28 485139 811 4939 TDP_363 Drought 14
## 1032 2023.07.25 13.53.20 2267159 1009 7169 TDP_364 Control 14
## 1033 2023.07.25 13.54.12 1416889 990 6801 TDP_357 Control 14
## 1034 2023.07.25 13.55.07 433569 773 5634 TDP_344 Control 14
## 1035 2023.07.25 13.56.24 916116 807 6017 TDP_364 Drought 14
## 1036 2023.07.25 13.57.15 607873 774 4198 TDP_357 Drought 14
## 1037 2023.07.25 13.58.11 116875 814 2247 TDP_358 Control 14
## 1038 2023.07.25 13.59.12 1627324 1184 7625 TDP_360 Control 14
## 1039 2023.07.25 14.00.40 1775534 990 6773 TDP_361 Control 14
## 1040 2023.07.25 14.01.32 1698763 1049 6506 TDP_406 Control 14
## 1041 2023.07.25 14.02.24 1805335 1119 6659 TDP_439 Control 14
## 1042 2023.07.25 14.04.01 305969 921 3640 TDP_358 Drought 14
## 1043 2023.07.25 14.06.12 1303689 1237 6338 TDP_361 Drought 14
## 1044 2023.07.25 14.07.06 1055413 825 4421 TDP_406 Drought 14
## 1045 2023.07.25 14.08.41 788685 761 6301 TDP_439 Drought 14
## 1046 2023.07.25 14.09.32 37523 945 2130 TDP_443 Control 14
## 1047 2023.07.25 14.10.42 108120 731 3398 TDP_132 Control 14
## 1048 2023.07.25 14.11.39 80558 651 2386 TDP_256 Control 14
## 1049 2023.07.25 14.12.30 514756 902 3573 TDP_390 Control 14
## 1050 2023.07.25 14.13.47 208363 891 2868 TDP_443 Drought 14
## 1051 2023.07.25 14.14.38 146217 1025 3052 TDP_132 Drought 14
## 1052 2023.07.25 14.15.28 14442 422 686 TDP_256 Drought 14
## 1053 2023.07.25 14.16.23 47334 717 2687 TDP_390 Drought 14
## 1054 2023.07.25 12.36.42 632690 <NA> <NA> TDP_383 Control 14plot(data_sum$Area.sum ~ data_sum$days)
# write.csv(data_sum, "data_sum.csv")data_sum$Ex <- 8Assign levels
Drop rows with missing values
cumm_data_clean <- data_sum %>% drop_na()
cumm_data_clean$Treatment <- factor(cumm_data_clean$Treatment, levels = c("Control","Drought"))We will create a new column (sid) concatenating accession and first letter of treatment, to avoid issues while plotting
cumm_data_clean$sid <- paste0(cumm_data_clean$Accession, "_", substr(cumm_data_clean$Treatment, 1, 1))Ex8_Write cumm_data_clean into new file as final_Ex8
write.csv(cumm_data_clean, "final_Ex8.csv")