This report describes the the Carob “pest_disease” group.

This dataset combines 8 standardized individual data sources. It has has 3225 records and 61 variables for 2 crops (potato, rice) in 3 countries (Bangladesh, Kenya, Peru).


These are the first 25 records:

records
trial_id season treatment rep crop flowering_date maturity_date dmy_storage yield_part yield yield_marketable row_spacing plot_area plant_spacing plant_density pathogen AUDPC rAUDPC nodule_weight weed_species weed_biomass virus_severity dataset_id record_id on_farm is_survey variety variety_code variety_type country adm1 adm2 adm3 location site longitude latitude geo_from_source elevation planting_date harvest_date foliar_fertilizer_used N_fertilizer P_fertilizer K_fertilizer inoculated irrigated irrigation_dates land_prep_method herbicide_used herbicide_product herbicide_dates weeding_done weeding_times weeding_dates insecticide_used insecticide_product insecticide_dates fungicide_used fungicide_product fungicide_dates
1 1 potato NA NA NA tubers 52037.037 NA NA NA NA NA Phytophthora infestans 0.875 NA 200.23 NA doi_10.21223_64DNHF 1 TRUE FALSE CIP316361.244 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 1851.852 NA NA NA NA NA Phytophthora infestans 19.250 NA 200.17 NA doi_10.21223_64DNHF 2 TRUE FALSE CIP304081.44 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 37629.630 NA NA NA NA NA Phytophthora infestans 1.750 NA 199.56 NA doi_10.21223_64DNHF 3 TRUE FALSE CIP316357.206 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 23629.630 NA NA NA NA NA Phytophthora infestans 5.075 NA 200.37 NA doi_10.21223_64DNHF 4 TRUE FALSE CIP398098.570 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 15592.593 NA NA NA NA NA Phytophthora infestans 4.025 NA 200.24 NA doi_10.21223_64DNHF 5 TRUE FALSE CIP316348.238 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 43407.407 NA NA NA NA NA Phytophthora infestans 2.275 NA 200.44 NA doi_10.21223_64DNHF 6 TRUE FALSE CIP398098.65 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 36481.481 NA NA NA NA NA Phytophthora infestans 2.800 NA 201.34 NA doi_10.21223_64DNHF 7 TRUE FALSE CIP316362.175 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 17444.444 NA NA NA NA NA Phytophthora infestans 5.775 NA 200.07 NA doi_10.21223_64DNHF 8 TRUE FALSE Kory Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 45370.370 NA NA NA NA NA Phytophthora infestans 1.925 NA 200.13 NA doi_10.21223_64DNHF 9 TRUE FALSE CIP317008.407 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 44592.593 NA NA NA NA NA Phytophthora infestans 3.325 NA 200.22 NA doi_10.21223_64DNHF 10 TRUE FALSE CIP316375.102 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 35222.222 NA NA NA NA NA Phytophthora infestans 1.750 NA 200.11 NA doi_10.21223_64DNHF 11 TRUE FALSE CIP316353.165 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 5555.556 NA NA NA NA NA Phytophthora infestans 15.750 NA 173.87 NA doi_10.21223_64DNHF 12 TRUE FALSE Amarilis Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 22962.963 NA NA NA NA NA Phytophthora infestans 5.775 NA 200.09 NA doi_10.21223_64DNHF 13 TRUE FALSE Kory Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 38259.259 NA NA NA NA NA Phytophthora infestans 4.375 NA 200.09 NA doi_10.21223_64DNHF 14 TRUE FALSE CIP316358.214 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 41740.741 NA NA NA NA NA Phytophthora infestans 2.625 NA 200.24 NA doi_10.21223_64DNHF 15 TRUE FALSE CIP316365.140 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 17148.148 NA NA NA NA NA Phytophthora infestans 1.575 NA 202.10 NA doi_10.21223_64DNHF 16 TRUE FALSE CIP316361.117 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 27111.111 NA NA NA NA NA Phytophthora infestans 4.375 NA 199.23 NA doi_10.21223_64DNHF 17 TRUE FALSE CIP398208.704 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 46074.074 NA NA NA NA NA Phytophthora infestans 1.575 NA 200.30 NA doi_10.21223_64DNHF 18 TRUE FALSE CIP316361.191 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 25777.778 NA NA NA NA NA Phytophthora infestans 4.375 NA 200.06 NA doi_10.21223_64DNHF 19 TRUE FALSE CIP316360.159 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 31851.852 NA NA NA NA NA Phytophthora infestans 6.125 NA 200.68 NA doi_10.21223_64DNHF 20 TRUE FALSE CIP316357.111 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 42851.852 NA NA NA NA NA Phytophthora infestans 1.050 NA 200.24 NA doi_10.21223_64DNHF 21 TRUE FALSE CIP302531.43 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 28888.889 NA NA NA NA NA Phytophthora infestans 2.800 NA 167.20 NA doi_10.21223_64DNHF 22 TRUE FALSE CIP316386.168 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 35592.593 NA NA NA NA NA Phytophthora infestans 4.375 NA 200.25 NA doi_10.21223_64DNHF 23 TRUE FALSE CIP316367.128 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 33370.370 NA NA NA NA NA Phytophthora infestans 4.375 NA 200.23 NA doi_10.21223_64DNHF 24 TRUE FALSE CIP316390.167 Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA
1 1 potato NA NA NA tubers 14370.370 NA NA NA NA NA Phytophthora infestans 5.250 NA 200.18 NA doi_10.21223_64DNHF 25 TRUE FALSE Kory Peru Oxapampa -75.0833 -10.3333 FALSE NA 2021-09-30 2022-01-31 NA NA NA NA FALSE NA NA NA NA NA NA NA NA


You can see the contributing datasets here if you use the search term for [pest_disease].


We have 3225 observations, for which we have 14 unique mapped locations.


The data are further summarized in the table below

Variable Stats / Values Freqs (% of Valid) Graph Missing
season [character]
1. (Empty string)
2. 2016
3. 2016/17
4. 2017
2785(86.4%)
199(6.2%)
120(3.7%)
121(3.8%)
 0 (0.0%)
treatment [character]
1. (Empty string)
2. bispyribac-sodium fb
3. farmers practices +
4. mefenacet + ben sulf
5. mefenacet + bensulfu
6. mefenacet + bensulfu
7. mefenacet+bensulfuro
8. MW fb HW
9. pendimethalim fb han
10. penoxsulam fb hand-w
11. Weed-free by frequen
2785(86.4%)
44(1.4%)
44(1.4%)
44(1.4%)
44(1.4%)
44(1.4%)
44(1.4%)
44(1.4%)
44(1.4%)
44(1.4%)
44(1.4%)
 0 (0.0%)
rep [integer]
Mean (sd) : 2.3 (1.5)
min ≤ med ≤ max:
1 ≤ 2 ≤ 10
IQR (CV) : 2 (0.6)
1:1003(31.1%)
2:1003(31.1%)
3:959(29.7%)
4:60(1.9%)
5:60(1.9%)
6:60(1.9%)
7:20(0.6%)
8:20(0.6%)
9:20(0.6%)
10:20(0.6%)
 0 (0.0%)
crop [character]
1. potato
2. rice
2785(86.4%)
440(13.6%)
 0 (0.0%)
flowering_date [IDate, Date]
1. 2018-05-17
2. 2018-05-22
3. 2018-06-05
3(4.6%)
54(83.1%)
8(12.3%)
 3160 (98.0%)
maturity_date [IDate, Date] 1. 2022-04-11
576(100.0%)
 2649 (82.1%)
dmy_storage [numeric]
Mean (sd) : 10791 (3522.2)
min ≤ med ≤ max:
1649.1 ≤ 10701.4 ≤ 26788.4
IQR (CV) : 4260 (0.3)
 477 distinct values 2748 (85.2%)
yield_part [character]
1. grain
2. tubers
440(13.6%)
2785(86.4%)
 0 (0.0%)
yield [numeric]
Mean (sd) : 27058.1 (22552.4)
min ≤ med ≤ max:
0 ≤ 22222.2 ≤ 148703.6
IQR (CV) : 33592.6 (0.8)
 1987 distinct values 100 (3.1%)
yield_marketable [numeric]
Mean (sd) : 53008.1 (19473.5)
min ≤ med ≤ max:
2016.5 ≤ 50699.5 ≤ 132222.1
IQR (CV) : 24930 (0.4)
 422 distinct values 2748 (85.2%)
row_spacing [integer]
Min : 75
Mean : 86.9
Max : 90
75:192(21.0%)
90:723(79.0%)
 2310 (71.6%)
plot_area [numeric] 1 distinct value 1 distinct values 2502 (77.6%)
plant_spacing [integer]
Min : 20
Mean : 27.9
Max : 30
20:192(21.0%)
30:723(79.0%)
 2310 (71.6%)
plant_density [numeric]
Min : 37037
Mean : 38591.4
Max : 44444.4
 2 distinct values 2310 (71.6%)
pathogen [character]
1. (Empty string)
2. Phytophthora infesta
440(13.6%)
2785(86.4%)
 0 (0.0%)
AUDPC [numeric]
Mean (sd) : 7.5 (9.2)
min ≤ med ≤ max:
0 ≤ 3.5 ≤ 45
IQR (CV) : 11.4 (1.2)
 469 distinct values 1053 (32.7%)
rAUDPC [numeric]
Mean (sd) : 0.2 (0.3)
min ≤ med ≤ max:
0 ≤ 0 ≤ 0.9
IQR (CV) : 0.4 (1.6)
 138 distinct values 2946 (91.3%)
nodule_weight [numeric]
Mean (sd) : 198.9 (13)
min ≤ med ≤ max:
36.9 ≤ 200.2 ≤ 300.4
IQR (CV) : 1 (0.1)
 490 distinct values 2074 (64.3%)
weed_species [character]
1. (Empty string)
2. Bouteloua;Pennisetum
2649(82.1%)
576(17.9%)
 0 (0.0%)
weed_biomass [numeric]
Mean (sd) : 90.2 (60.6)
min ≤ med ≤ max:
5 ≤ 79.7 ≤ 343.3
IQR (CV) : 72.2 (0.7)
 273 distinct values 2785 (86.4%)
virus_severity [character]
1. (Empty string)
2. high
3. low
4. medium
3118(96.7%)
13(0.4%)
60(1.9%)
34(1.1%)
 0 (0.0%)
on_farm [logical] 1. TRUE
3225(100.0%)
 0 (0.0%)
is_survey [logical] 1. FALSE
3225(100.0%)
 0 (0.0%)
variety [character]
1. (Empty string)
2. BRRI dhan49
3. BRRI dhan28
4. Amarilis
5. Kory
6. Yungay
7. CIP396026.101
8. Canchan
9. Unica
10. Chucmarina
[ 453 others ]
768(23.8%)
320(9.9%)
120(3.7%)
36(1.1%)
36(1.1%)
36(1.1%)
21(0.7%)
18(0.6%)
18(0.6%)
9(0.3%)
1843(57.1%)
 0 (0.0%)
variety_code [character]
1. (Empty string)
2. Amarilis
3. Kory
4. Yungay
5. Shangi
6. 312084.73100000003
7. 312284.73700000002
8. 313001.27899999998
9. 313009.46000000002
10. 313009.84000000003
[ 217 others ]
2457(76.2%)
18(0.6%)
18(0.6%)
18(0.6%)
9(0.3%)
6(0.2%)
6(0.2%)
6(0.2%)
6(0.2%)
6(0.2%)
675(20.9%)
 0 (0.0%)
variety_type [character]
1. (Empty string)
2. check
3. genotype
4. parent
2649(82.1%)
54(1.7%)
453(14.0%)
69(2.1%)
 0 (0.0%)
country [character]
1. Bangladesh
2. Kenya
3. Peru
440(13.6%)
192(6.0%)
2593(80.4%)
 0 (0.0%)
adm1 [character]
1. (Empty string)
2. Huanuco
3. Junin
4. Nairobi
5. Oxapampa
6. Pasco
1070(33.2%)
576(17.9%)
88(2.7%)
192(6.0%)
576(17.9%)
723(22.4%)
 0 (0.0%)
adm2 [character]
1. (Empty string)
2. Concepcion
3. Oxapampa
2414(74.9%)
88(2.7%)
723(22.4%)
 0 (0.0%)
adm3 [character]
1. (Empty string)
2. Mariscal Castilla
3. Oxapampa
2414(74.9%)
88(2.7%)
723(22.4%)
 0 (0.0%)
location [character]
1. (Empty string)
2. Oxapampa
3. Huancayo
4. Faridpur
5. Jashore
6. Kabete
7. Comas
8. Chinchao
9. Jauja
10. Licame
[ 3 others ]
1152(35.7%)
723(22.4%)
576(17.9%)
220(6.8%)
220(6.8%)
192(6.0%)
88(2.7%)
9(0.3%)
9(0.3%)
9(0.3%)
27(0.8%)
 0 (0.0%)
site [character]
1. (Empty string)
2. University of Nairob
3. Viena
2945(91.3%)
192(6.0%)
88(2.7%)
 0 (0.0%)
geo_from_source [logical]
1. FALSE
2. TRUE
1870(67.1%)
915(32.9%)
 440 (13.6%)
elevation [integer]
Mean (sd) : 2394.8 (717.6)
min ≤ med ≤ max:
1800 ≤ 1810 ≤ 3324
IQR (CV) : 1514 (0.3)
1800:192(12.2%)
1810:723(45.8%)
2415:88(5.6%)
3324:576(36.5%)
 1646 (51.0%)
planting_date [IDate, Date]
min : 2001-12-10
med : 2021-09-21
max : 2021-11-25
range : 19y 11m 15d
 15 distinct values 0 (0.0%)
harvest_date [IDate, Date]
1. 2002-04-02
2. 2015-01-13
3. 2021-04-14
4. 2021-05-08
5. 2021-05-10
6. 2021-05-12
7. 2021-06-17
8. 2022-01-31
9. 2022-02-10
10. 2022-04-25
88(3.4%)
723(27.9%)
9(0.3%)
9(0.3%)
18(0.7%)
9(0.3%)
9(0.3%)
576(22.2%)
576(22.2%)
576(22.2%)
 632 (19.6%)
foliar_fertilizer_used [logical] 1. TRUE
576(100.0%)
 2649 (82.1%)
N_fertilizer [integer] 1 distinct value
200:54(100.0%)
 3171 (98.3%)
P_fertilizer [numeric] 1 distinct value 1 distinct values 3171 (98.3%)
K_fertilizer [numeric] 1 distinct value 1 distinct values 3171 (98.3%)
inoculated [logical] 1. FALSE
2697(100.0%)
 528 (16.4%)
irrigated [logical]
1. FALSE
2. TRUE
1350(70.1%)
576(29.9%)
 1299 (40.3%)
irrigation_dates [IDate, Date] 1. 2021-12-29
576(100.0%)
 2649 (82.1%)
land_prep_method [character]
1. (Empty string)
2. rotovating;ploughing
2649(82.1%)
576(17.9%)
 0 (0.0%)
herbicide_used [logical]
1. FALSE
2. TRUE
88(8.7%)
928(91.3%)
 2209 (68.5%)
herbicide_product [character]
1. (Empty string)
2. bispyribac-sodium
3. diuron;metribuzin
4. mefenacet;bensulfuro
5. mefenacet;bensulfuro
6. mefenacet;bensulfuro
7. none
8. pendimethalin
9. penoxsulam
10. pretilachlor
2209(68.5%)
44(1.4%)
576(17.9%)
88(2.7%)
44(1.4%)
44(1.4%)
88(2.7%)
44(1.4%)
44(1.4%)
44(1.4%)
 0 (0.0%)
herbicide_dates [character]
1. (Empty string)
2. 2021-11-13;2021-12-0
2649(82.1%)
576(17.9%)
 0 (0.0%)
weeding_done [logical] 1. TRUE
1016(100.0%)
 2209 (68.5%)
weeding_times [integer] 1 distinct value
4:576(100.0%)
 2649 (82.1%)
weeding_dates [character]
1. (Empty string)
2. 2021-11-27;2021-12-0
2649(82.1%)
576(17.9%)
 0 (0.0%)
insecticide_used [logical] 1. TRUE
576(100.0%)
 2649 (82.1%)
insecticide_product [character]
1. (Empty string)
2. deltamethrin;fiproni
2649(82.1%)
576(17.9%)
 0 (0.0%)
insecticide_dates [character]
1. (Empty string)
2. 2021-12-16;2021-12-3
2649(82.1%)
576(17.9%)
 0 (0.0%)
fungicide_used [logical] 1. TRUE
576(100.0%)
 2649 (82.1%)
fungicide_product [character]
1. (Empty string)
2. mancozeb;benomyl
2649(82.1%)
576(17.9%)
 0 (0.0%)
fungicide_dates [IDate, Date] 1. 2021-12-16
576(100.0%)
 2649 (82.1%)