This report describes standardized data for
“TZ_TAMASA_APS_2016_Yield_MetaData”. These data were
standardized on 2024-04-06 by Fredy Chimire with this
R
script. The original
data have a CIMMYT license. Because of the
restrictions of this license, you need to run the script yourself to get
the standardized data. This is the full citation of the data
set:
Masuki, Kenneth (2019). TZ_TAMASA_APS_2016_Yield_MetaData. CIMMYT
Research Data & Software Repository Network. Version 2.0.
hdl:11529/10548220
The dataset has 1338 records and 23 variables for maize in
Tanzania.
These are the first 25 records:
records
|
trial_id
|
planting_date
|
on_farm
|
is_survey
|
crop
|
yield_part
|
yield
|
N_fertilizer
|
P_fertilizer
|
K_fertilizer
|
irrigated
|
country
|
adm1
|
adm2
|
adm3
|
adm4
|
location
|
longitude
|
latitude
|
geo_from_source
|
elevation
|
|
1
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2230.9830
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Kilimanjaro
|
Moshi
|
Kahe
|
Rau river
|
37.40313
|
-3.445026
|
TRUE
|
707.6377
|
|
2
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2811.9639
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Kilimanjaro
|
Moshi
|
Kahe
|
Rau river
|
37.40313
|
-3.445026
|
TRUE
|
707.6377
|
|
3
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2426.9693
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Kilimanjaro
|
Moshi
|
Kahe
|
Rau river
|
37.40313
|
-3.445026
|
TRUE
|
707.6377
|
|
4
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2125.2857
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Songwe
|
Mbozi
|
Itumpi
|
Nsenga
|
32.99118
|
-8.840937
|
TRUE
|
1547.1094
|
|
5
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
3378.3750
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Songwe
|
Mbozi
|
Itumpi
|
Nsenga
|
32.99118
|
-8.840937
|
TRUE
|
1547.1094
|
|
6
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2497.2948
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Songwe
|
Mbozi
|
Itumpi
|
Nsenga
|
32.99118
|
-8.840937
|
TRUE
|
1547.1094
|
|
7
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
4371.1826
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Songwe
|
Mbozi
|
Itumpi
|
Nsenga
|
32.99118
|
-8.840937
|
TRUE
|
1547.1094
|
|
8
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2971.8585
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Kilimanjaro
|
Siha
|
Songu
|
Ngumbaro
|
37.08696
|
-3.235418
|
TRUE
|
1148.6827
|
|
9
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2887.5600
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Kilimanjaro
|
Siha
|
Songu
|
Ngumbaro
|
37.08696
|
-3.235418
|
TRUE
|
1148.6827
|
|
10
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2673.4860
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Kilimanjaro
|
Siha
|
Songu
|
Ngumbaro
|
37.08696
|
-3.235418
|
TRUE
|
1148.6827
|
|
11
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
1030.4480
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Kilimanjaro
|
Moshi
|
Kahe.mangaribi
|
Ngasinyi b
|
37.45147
|
-3.481265
|
TRUE
|
700.9670
|
|
12
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
1845.3975
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Kilimanjaro
|
Moshi
|
Kahe.mangaribi
|
Ngasinyi b
|
37.45147
|
-3.481265
|
TRUE
|
700.9670
|
|
13
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
1418.0581
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Kilimanjaro
|
Moshi
|
Kahe.mangaribi
|
Ngasinyi b
|
37.45147
|
-3.481265
|
TRUE
|
700.9670
|
|
14
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
1837.3740
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Manyara
|
Babati
|
Riroda
|
Riroda
|
35.67941
|
-4.288049
|
TRUE
|
1350.7072
|
|
15
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2943.9081
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Manyara
|
Babati
|
Riroda
|
Riroda
|
35.67941
|
-4.288049
|
TRUE
|
1350.7072
|
|
16
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
5367.4596
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Northern
|
Manyara
|
Babati
|
Riroda
|
Riroda
|
35.67941
|
-4.288049
|
TRUE
|
1350.7072
|
|
17
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
3294.8719
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Njombe
|
Ludewa
|
Madilu
|
Madilu
|
34.73102
|
-9.756617
|
TRUE
|
1787.4307
|
|
18
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
2879.7600
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Njombe
|
Ludewa
|
Madilu
|
Madilu
|
34.73102
|
-9.756617
|
TRUE
|
1787.4307
|
|
19
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
1643.2880
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Njombe
|
Ludewa
|
Madilu
|
Madilu
|
34.73102
|
-9.756617
|
TRUE
|
1787.4307
|
|
20
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
128.6031
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Iringa
|
Kilolo
|
Lugalo
|
Mazombe
|
35.98143
|
-7.686558
|
TRUE
|
1489.7107
|
|
21
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
233.8740
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Iringa
|
Kilolo
|
Lugalo
|
Mazombe
|
35.98143
|
-7.686558
|
TRUE
|
1489.7107
|
|
22
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
356.3780
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Iringa
|
Kilolo
|
Lugalo
|
Mazombe
|
35.98143
|
-7.686558
|
TRUE
|
1489.7107
|
|
23
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
5539.5474
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Iringa
|
Mufindi
|
Ikweha
|
Ukelemi
|
35.01536
|
-8.292122
|
TRUE
|
1627.3065
|
|
24
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
4254.7500
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Iringa
|
Mufindi
|
Ikweha
|
Ukelemi
|
35.01536
|
-8.292122
|
TRUE
|
1627.3065
|
|
25
|
2016
|
TRUE
|
TRUE
|
maize
|
grain
|
3646.1250
|
NA
|
NA
|
NA
|
NA
|
Tanzania
|
Southern Highlands
|
Iringa
|
Mufindi
|
Ikweha
|
Ukelemi
|
35.01536
|
-8.292122
|
TRUE
|
1627.3065
|
The observations were made at 456 locations. We have coordinates for
456 of these locations.
The standardization script emits the following non-compliance
warnings.
|
type
|
message
|
|
missing variables
|
yield_moisture
|
The overall quality of the dataset, given the completeness of
required variables was NA on a scale of 10. See the table below
|
variable
|
completeness (%)
|
|
planting_date
|
100
|
|
harvest_date
|
NA
|
|
crop
|
100
|
|
variety
|
0
|
|
N_fertilizer
|
0
|
|
P_fertilizer
|
0
|
|
K_fertilizer
|
0
|
|
irrigated
|
0
|
|
latitude
|
100
|
|
longitude
|
100
|
|
location
|
100
|
|
adm
|
100
|
|
yield
|
100
|
The data are further summarized in the table below.
| Variable |
Stats / Values |
Freqs (% of Valid) |
Graph |
Missing |
| trial_id
[integer] |
| Mean (sd) : 669.5 (386.4) | | min ≤ med ≤ max: | | 1 ≤ 669.5 ≤ 1338 | | IQR (CV) : 668.5 (0.6) |
|
1338 distinct values
(Integer sequence) |
 |
0
(0.0%) |
| planting_date
[integer] |
1 distinct value |
|
 |
0
(0.0%) |
| on_farm
[logical] |
1. TRUE |
|
 |
0
(0.0%) |
| is_survey
[logical] |
1. TRUE |
|
 |
0
(0.0%) |
| crop
[character] |
1. maize |
|
 |
0
(0.0%) |
| yield_part
[character] |
1. grain |
|
 |
0
(0.0%) |
| yield
[numeric] |
| Mean (sd) : 2427 (1792.2) | | min ≤ med ≤ max: | | 60 ≤ 1979.2 ≤ 22881.9 | | IQR (CV) : 2202.6 (0.7) |
|
1337 distinct values |
 |
0
(0.0%) |
| N_fertilizer
[logical] |
|
|
|
1338
(100.0%) |
| P_fertilizer
[logical] |
|
|
|
1338
(100.0%) |
| K_fertilizer
[logical] |
|
|
|
1338
(100.0%) |
| irrigated
[logical] |
|
|
|
1338
(100.0%) |
| country
[character] |
1. Tanzania |
|
 |
0
(0.0%) |
| adm1
[character] |
| 1. Northern | | 2. Southern Highlands |
|
|
 |
0
(0.0%) |
| adm2
[character] |
| 1. Arusha | | 2. Iringa | | 3. Kilimanjaro | | 4. Manyara | | 5. Mbeya | | 6. Njombe | | 7. Rukwa | | 8. Ruvuma | | 9. Songwe |
|
| 180 | ( | 13.5% | ) | | 178 | ( | 13.3% | ) | | 187 | ( | 14.0% | ) | | 221 | ( | 16.5% | ) | | 66 | ( | 4.9% | ) | | 186 | ( | 13.9% | ) | | 96 | ( | 7.2% | ) | | 124 | ( | 9.3% | ) | | 100 | ( | 7.5% | ) |
|
 |
0
(0.0%) |
| adm3
[character] |
| 1. Songea_Rural | | 2. Iringa_Rural | | 3. Monduli | | 4. Wangingombe | | 5. Ludewa | | 6. Mbeya_Rural | | 7. Mbozi | | 8. Mufindi | | 9. Hai | | 10. Hanang | | [ 15 others ] |
|
| 81 | ( | 6.1% | ) | | 72 | ( | 5.4% | ) | | 72 | ( | 5.4% | ) | | 72 | ( | 5.4% | ) | | 69 | ( | 5.2% | ) | | 66 | ( | 4.9% | ) | | 64 | ( | 4.8% | ) | | 63 | ( | 4.7% | ) | | 61 | ( | 4.6% | ) | | 60 | ( | 4.5% | ) | | 658 | ( | 49.2% | ) |
|
 |
0
(0.0%) |
| adm4
[character] |
| 1. Sepeko | | 2. Maposeni | | 3. Ntuchi | | 4. Ulembwe | | 5. Laela | | 6. Madilu | | 7. Kahe | | 8. Magamba | | 9. Njoro | | 10. Chiwezi | | [ 78 others ] |
|
| 60 | ( | 4.5% | ) | | 54 | ( | 4.0% | ) | | 48 | ( | 3.6% | ) | | 48 | ( | 3.6% | ) | | 45 | ( | 3.4% | ) | | 45 | ( | 3.4% | ) | | 40 | ( | 3.0% | ) | | 39 | ( | 2.9% | ) | | 39 | ( | 2.9% | ) | | 36 | ( | 2.7% | ) | | 884 | ( | 66.1% | ) |
|
 |
0
(0.0%) |
| location
[character] |
| 1. Maposeni | | 2. Madilu | | 3. Ntuchi | | 4. Ndaleta | | 5. Kyuu | | 6. Mandepwende | | 7. Silaloda | | 8. Alkaria | | 9. Bumilayinga | | 10. Hidet | | [ 110 others ] |
|
| 54 | ( | 4.0% | ) | | 45 | ( | 3.4% | ) | | 45 | ( | 3.4% | ) | | 39 | ( | 2.9% | ) | | 29 | ( | 2.2% | ) | | 27 | ( | 2.0% | ) | | 25 | ( | 1.9% | ) | | 24 | ( | 1.8% | ) | | 24 | ( | 1.8% | ) | | 24 | ( | 1.8% | ) | | 1002 | ( | 74.9% | ) |
|
 |
0
(0.0%) |
| geo_from_source
[logical] |
1. TRUE |
|
 |
0
(0.0%) |
| elevation
[numeric] |
| Mean (sd) : 1437.8 (362.7) | | min ≤ med ≤ max: | | 689.8 ≤ 1437 ≤ 2079.1 | | IQR (CV) : 400.3 (0.3) |
|
456 distinct values |
 |
0
(0.0%) |