This report describes standardized data for “Impact of NPK fertilization on upland rice yield, Nicaragua”. These data were standardized on 2022-12-09 by Jean-Martial Johnson with this R script. The original data have a CC-BY-4.0 license. Here you can download the standardized data.

This is the full citation of the data set:

Siles, Pablo; Tellez, Orlando; Peng, Yuan-Ching; Zeledón, Yasser (2020). Impact of NPK fertilization on upland rice yield, Nicaragua. Harvard Dataverse. Version 1.2. doi:10.7910/DVN/H0HUSY

The dataset has 400 records and 30 variables for rice in Nicaragua. The dataset has 3 treatment(s): K_fertilizer, N_fertilizer, P_fertilizer.


These are the first 25 records:

records
country adm1 adm2 adm3 longitude latitude geo_from_source trial_id planting_date on_farm is_survey treatment rep crop dmy_total yield_part yield N_fertilizer P_fertilizer K_fertilizer irrigated soil_pH soil_SOC soil_sand soil_clay soil_N soil_K soil_P_available
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 1 1 rice 5456.250 grain 6315.949 142.00000 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 1 2 rice 5882.812 grain 7938.228 142.00000 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 1 3 rice 5456.250 grain 6625.823 142.00000 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 1 4 rice 5962.500 grain 6762.532 142.00000 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 1 5 rice 6810.938 grain 1166.582 142.00000 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 2 1 rice 5479.535 grain 6913.261 23.23636 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 2 2 rice 4409.593 grain 6114.196 23.23636 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 2 3 rice 5242.267 grain 7559.696 23.23636 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 2 4 rice 5072.151 grain 7200.565 23.23636 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 2 5 rice 5304.942 grain 6554.130 23.23636 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 3 1 rice 6212.695 grain 8186.975 82.61818 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 3 2 rice 6855.078 grain 7572.479 82.61818 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 3 3 rice 5013.281 grain 4396.008 82.61818 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 3 4 rice 6432.812 grain 7515.756 82.61818 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 3 5 rice 4537.109 grain 5199.580 82.61818 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 4 1 rice 5786.214 grain 5171.193 201.38182 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 4 2 rice 8394.175 grain 6866.667 201.38182 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 4 3 rice 8573.592 grain 6976.872 201.38182 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 4 4 rice 7952.039 grain 7095.556 201.38182 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 4 5 rice 8304.466 grain 7010.782 201.38182 63.25455 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 5 1 rice 7167.432 grain 8539.685 142.00000 0.00000 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 5 2 rice 5295.525 grain 6568.989 142.00000 0.00000 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 5 3 rice 6379.261 grain 8621.798 142.00000 0.00000 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 5 4 rice 5788.132 grain 6094.562 142.00000 0.00000 154.9091 NA NA NA NA NA NA NA NA
Nicaragua Chinandega Chinandega El Ensayo -87.17 12.587 FALSE 2 2019 TRUE FALSE 5 5 rice 7586.148 grain 9369.933 142.00000 0.00000 154.9091 NA NA NA NA NA NA NA NA


The observations are for 8 locations, for which we have 7 unique mapped locations.


The standardization script does not emit non-compliance warnings.

The overall quality of the dataset, given the completeness of required variables was 4.4 on a scale of 10. See the table below

variable completeness (%)
planting_date 100
harvest_date 0
N_fertilizer 100
P_fertilizer 100
K_fertilizer 100
irrigated 0
latitude 0
longitude 0
location 0


The data are further summarized in the table below.

Variable Stats / Values Freqs (% of Valid) Graph Missing
country [character] 1. Nicaragua
400(100.0%)
 0 (0.0%)
adm1 [character]
1. Chinandega
2. Región Autónoma de l
200(50.0%)
200(50.0%)
 0 (0.0%)
adm2 [character]
1. Chichigalpa
2. Chinandega
3. El Rama
4. El viejo
5. Kukrahill
6. Muelles de los bueye
7. Nueva Guinea
8. Posoltega
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
 0 (0.0%)
adm3 [character]
1. El Ensayo
2. El Panchon
3. El Recreo
4. El Tololar #1
5. La Rebusca
6. La Tortuga
7. Montivideo
8. Rio chiquito
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
50(12.5%)
 0 (0.0%)
geo_from_source [logical] 1. FALSE
400(100.0%)
 0 (0.0%)
trial_id [integer]
Mean (sd) : 4.5 (2.3)
min ≤ med ≤ max:
1 ≤ 4.5 ≤ 8
IQR (CV) : 3.5 (0.5)
1:50(12.5%)
2:50(12.5%)
3:50(12.5%)
4:50(12.5%)
5:50(12.5%)
6:50(12.5%)
7:50(12.5%)
8:50(12.5%)
 0 (0.0%)
planting_date [integer] 1 distinct value
2019:400(100.0%)
 0 (0.0%)
on_farm [logical] 1. TRUE
400(100.0%)
 0 (0.0%)
is_survey [logical] 1. FALSE
400(100.0%)
 0 (0.0%)
treatment [integer]
Mean (sd) : 5.5 (2.9)
min ≤ med ≤ max:
1 ≤ 5.5 ≤ 10
IQR (CV) : 5 (0.5)
1:40(10.0%)
2:40(10.0%)
3:40(10.0%)
4:40(10.0%)
5:40(10.0%)
6:40(10.0%)
7:40(10.0%)
8:40(10.0%)
9:40(10.0%)
10:40(10.0%)
 0 (0.0%)
rep [integer]
Mean (sd) : 3 (1.4)
min ≤ med ≤ max:
1 ≤ 3 ≤ 5
IQR (CV) : 2 (0.5)
1:80(20.0%)
2:80(20.0%)
3:80(20.0%)
4:80(20.0%)
5:80(20.0%)
 0 (0.0%)
crop [character] 1. rice
400(100.0%)
 0 (0.0%)
dmy_total [numeric]
Mean (sd) : 7677.6 (2333)
min ≤ med ≤ max:
3324.7 ≤ 7325.7 ≤ 20965
IQR (CV) : 2915.6 (0.3)
 385 distinct values 0 (0.0%)
yield_part [character] 1. grain
400(100.0%)
 0 (0.0%)
yield [numeric]
Mean (sd) : 6922.6 (2390.4)
min ≤ med ≤ max:
1166.6 ≤ 6706.1 ≤ 13621.4
IQR (CV) : 3428.8 (0.3)
 386 distinct values 0 (0.0%)
N_fertilizer [numeric]
Mean (sd) : 130.1 (44.5)
min ≤ med ≤ max:
23.2 ≤ 142 ≤ 201.4
IQR (CV) : 0 (0.3)
23.24 !:40(10.0%)
82.62 !:40(10.0%)
142.00  :280(70.0%)
201.38 !:40(10.0%)
! rounded
 0 (0.0%)
P_fertilizer [numeric]
Mean (sd) : 60.1 (29.9)
min ≤ med ≤ max:
0 ≤ 63.3 ≤ 126.5
IQR (CV) : 0 (0.5)
0.00  :40(10.0%)
31.63 !:40(10.0%)
63.25 !:280(70.0%)
126.51 !:40(10.0%)
! rounded
 0 (0.0%)
K_fertilizer [numeric]
Mean (sd) : 139.4 (58)
min ≤ med ≤ max:
0 ≤ 154.9 ≤ 232.4
IQR (CV) : 0 (0.4)
0.00  :40(10.0%)
77.45 !:40(10.0%)
154.91 !:280(70.0%)
232.36 !:40(10.0%)
! rounded
 0 (0.0%)
irrigated [logical]
All NA's
 400 (100.0%)
soil_pH [numeric] 1 distinct value 1 distinct values 350 (87.5%)
soil_SOC [numeric] 1 distinct value 1 distinct values 350 (87.5%)
soil_sand [numeric] 1 distinct value 1 distinct values 350 (87.5%)
soil_clay [numeric] 1 distinct value 1 distinct values 350 (87.5%)
soil_N [numeric] 1 distinct value 1 distinct values 350 (87.5%)
soil_K [numeric] 1 distinct value 1 distinct values 350 (87.5%)
soil_P_available [numeric] 1 distinct value 1 distinct values 350 (87.5%)