This report describes standardized data for “Dataset for:
Modified Demonstration Trials for Genetic Gain Data for Yield and
Quality Traits”. These data were standardized on 2023-11-02 by
Cedric Ngakou 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:
Gruneberg, Wolfgang; Eyzaguirre, Raul; Diaz, Federico (2021).
Dataset for: Modified Demonstration Trials for Genetic Gain Data for
Yield and Quality Traits. International Potato Center. Version 1.0. doi:10.21223/R5CN7B
The dataset has 798 records and 27 variables for sweetpotato in Peru.
The dataset has 1 treatment(s): variety.
These are the first 25 records:
records
|
trial_id
|
planting_date
|
harvest_date
|
on_farm
|
is_survey
|
rep
|
crop
|
variety
|
variety_code
|
yield_part
|
yield
|
yield_moisture
|
N_fertilizer
|
P_fertilizer
|
K_fertilizer
|
irrigated
|
leaf_Mg
|
leaf_Ca
|
leaf_Fe
|
leaf_Zn
|
country
|
location
|
longitude
|
latitude
|
geo_from_source
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Tacna
|
CIP187019.1
|
tubers
|
2918.48933
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
104.24417
|
131.79541
|
1.567776
|
1.307966
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Tacna
|
CIP187019.1
|
tubers
|
559.25367
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
102.25224
|
171.35205
|
1.374509
|
1.055998
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Abigail
|
CIP194540.5
|
tubers
|
28573.78833
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
116.72371
|
185.13867
|
1.744961
|
1.291404
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Adriano
|
CIP105228.1
|
tubers
|
2555.53000
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
71.38229
|
86.58105
|
1.083712
|
1.118608
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Adriano
|
CIP105228.1
|
tubers
|
5833.27500
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
88.80063
|
88.42749
|
1.263781
|
1.256360
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Alexander
|
CIP105240.1
|
tubers
|
11710.99400
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
110.23427
|
159.58228
|
1.511642
|
1.277204
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Alexander
|
CIP105240.1
|
tubers
|
20288.68600
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
124.23297
|
175.15454
|
1.524922
|
1.414022
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Arne
|
CIP105086.1
|
tubers
|
8944.35500
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
147.06442
|
203.20770
|
2.179380
|
1.510640
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Arne
|
CIP105086.1
|
tubers
|
16296.13333
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
137.20430
|
180.91809
|
2.233134
|
1.617109
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Atacama
|
CIP187020.1
|
tubers
|
6177.71600
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
73.69827
|
58.27563
|
1.463366
|
1.217510
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Atacama
|
CIP187020.1
|
tubers
|
5925.86667
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
80.35587
|
58.97510
|
1.638407
|
1.325840
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Benjamin
|
CIP105085.2
|
tubers
|
22566.44100
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
187.54334
|
352.97015
|
2.273016
|
1.512443
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Benjamin
|
CIP105085.2
|
tubers
|
36040.38033
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
159.57875
|
250.70966
|
2.245857
|
1.635101
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Caplina
|
CIP187016.1
|
tubers
|
7370.29667
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
64.60913
|
46.56213
|
1.343441
|
1.042377
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Caplina
|
CIP187016.1
|
tubers
|
5214.76267
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
83.52921
|
63.93787
|
1.667472
|
1.277384
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Cemsa
|
CIP400004
|
tubers
|
15307.25433
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
101.87442
|
147.61072
|
1.301643
|
1.175897
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Cemsa
|
CIP400004
|
tubers
|
15022.07200
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
111.28949
|
135.69299
|
1.501753
|
1.422641
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Costanero
|
CIP187016.2
|
tubers
|
6285.12233
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
134.46057
|
241.22711
|
1.723987
|
1.115590
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Costanero
|
CIP187016.2
|
tubers
|
1707.39033
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
137.02055
|
190.64215
|
2.406870
|
1.746386
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Dagga
|
CIP199062.1
|
tubers
|
14718.37133
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
91.81961
|
84.89600
|
1.556228
|
1.221462
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Dagga
|
CIP199062.1
|
tubers
|
28829.34133
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
98.80576
|
112.20752
|
1.583499
|
1.242813
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
Huambachero
|
CIP422656
|
tubers
|
829.62133
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
107.84868
|
54.62244
|
1.862341
|
1.380276
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
Huambachero
|
CIP422656
|
tubers
|
655.54900
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
111.05975
|
54.68433
|
2.204469
|
1.495600
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
1
|
sweetpotato
|
INA-100
|
CIP192033.50
|
tubers
|
70.36967
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
140.69174
|
220.07434
|
2.038484
|
1.353782
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
|
HUA_2016A
|
2016-03-04
|
NA
|
TRUE
|
FALSE
|
2
|
sweetpotato
|
INA-100
|
CIP192033.50
|
tubers
|
585.17933
|
NA
|
NA
|
NA
|
NA
|
FALSE
|
139.98521
|
254.91333
|
2.004386
|
1.260394
|
Peru
|
Huaral
|
-76.91667
|
-11.25
|
FALSE
|
The observations were made at 4 locations. We have coordinates for 4
of these locations.
The standardization script emits the following non-compliance
warnings.
|
type
|
message
|
|
unknown variables
|
fwt_total, fwt_leaves
|
|
out of bounds
|
leaf_Fe (0.557, 3.181), leaf_Zn (0.678, 2.201), leaf_Ca (0, 405.899),
leaf_Mg (56.846, 187.543)
|
The overall quality of the dataset, given the completeness of
required variables was 4.6 on a scale of 10. See the table below
|
variable
|
completeness (%)
|
|
planting_date
|
100
|
|
harvest_date
|
0
|
|
crop
|
100
|
|
variety
|
100
|
|
N_fertilizer
|
0
|
|
P_fertilizer
|
0
|
|
K_fertilizer
|
0
|
|
irrigated
|
100
|
|
latitude
|
0
|
|
longitude
|
0
|
|
location
|
100
|
|
adm
|
0
|
|
yield
|
100
|
The data are further summarized in the table below.
| Variable |
Stats / Values |
Freqs (% of Valid) |
Graph |
Missing |
| trial_id
[character] |
| 1. CSR_2016A | | 2. CSR_2018A | | 3. CSR_2018B | | 4. HUA_2016A | | 5. HUA_2019A | | 6. HUA_2019B | | 7. ICA_2016A | | 8. SAT_2016A | | 9. SAT_2018A | | 10. SAT_2018B |
|
| 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) | | 79 | ( | 9.9% | ) | | 80 | ( | 10.0% | ) | | 79 | ( | 9.9% | ) | | 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) |
|
 |
0
(0.0%) |
| planting_date
[character] |
| 1. 2016-03-04 | | 2. 2016-07-26 | | 3. 2016-08-19 | | 4. 2016-10-03 | | 5. 2018-01-05 | | 6. 2018-04-10 | | 7. 2018-07-10 | | 8. 2018-08-16 | | 9. 2019-01-11 | | 10. 2019-08-23 |
|
| 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) | | 79 | ( | 9.9% | ) | | 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) | | 80 | ( | 10.0% | ) | | 79 | ( | 9.9% | ) | | 80 | ( | 10.0% | ) |
|
 |
0
(0.0%) |
| harvest_date
[logical] |
|
|
|
798
(100.0%) |
| on_farm
[logical] |
1. TRUE |
|
 |
0
(0.0%) |
| is_survey
[logical] |
1. FALSE |
|
 |
0
(0.0%) |
| rep
[integer] |
|
|
 |
0
(0.0%) |
| crop
[character] |
1. sweetpotato |
|
 |
0
(0.0%) |
| variety
[character] |
| 1. Abigail | | 2. Adriano | | 3. Alexander | | 4. Arne | | 5. Atacama | | 6. Benjamin | | 7. Caplina | | 8. Cemsa | | 9. Costanero | | 10. Dagga | | [ 10 others ] |
|
| 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 398 | ( | 49.9% | ) |
|
 |
0
(0.0%) |
| variety_code
[character] |
| 1. CIP105058.2 | | 2. CIP105085.2 | | 3. CIP105086.1 | | 4. CIP105228.1 | | 5. CIP105240.1 | | 6. CIP105523.1 | | 7. CIP187016.1 | | 8. CIP187016.2 | | 9. CIP187017.1 | | 10. CIP187018.1 | | [ 10 others ] |
|
| 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 40 | ( | 5.0% | ) | | 398 | ( | 49.9% | ) |
|
 |
0
(0.0%) |
| yield_part
[character] |
1. tubers |
|
 |
0
(0.0%) |
| yield
[numeric] |
| Mean (sd) : 11699.5 (10197.9) | | min ≤ med ≤ max: | | 0 ≤ 9018.4 ≤ 75054.8 | | IQR (CV) : 13341.5 (0.9) |
|
759 distinct values |
 |
0
(0.0%) |
| yield_moisture
[logical] |
|
|
|
798
(100.0%) |
| N_fertilizer
[logical] |
|
|
|
798
(100.0%) |
| P_fertilizer
[logical] |
|
|
|
798
(100.0%) |
| K_fertilizer
[logical] |
|
|
|
798
(100.0%) |
| irrigated
[logical] |
1. FALSE |
|
 |
0
(0.0%) |
| leaf_Mg
[numeric] |
| Mean (sd) : 105.8 (20.2) | | min ≤ med ≤ max: | | 56.8 ≤ 103.1 ≤ 187.5 | | IQR (CV) : 25.3 (0.2) |
|
792 distinct values |
 |
6
(0.8%) |
| leaf_Ca
[numeric] |
| Mean (sd) : 116.1 (62.5) | | min ≤ med ≤ max: | | 0 ≤ 110.3 ≤ 405.9 | | IQR (CV) : 83.1 (0.5) |
|
787 distinct values |
 |
6
(0.8%) |
| leaf_Fe
[numeric] |
| Mean (sd) : 1.7 (0.4) | | min ≤ med ≤ max: | | 0.6 ≤ 1.7 ≤ 3.2 | | IQR (CV) : 0.5 (0.2) |
|
792 distinct values |
 |
6
(0.8%) |
| leaf_Zn
[numeric] |
| Mean (sd) : 1.3 (0.2) | | min ≤ med ≤ max: | | 0.7 ≤ 1.3 ≤ 2.2 | | IQR (CV) : 0.3 (0.2) |
|
792 distinct values |
 |
6
(0.8%) |
| country
[character] |
1. Peru |
|
 |
0
(0.0%) |
| location
[character] |
| 1. Huaral | | 2. Ica | | 3. San Ramon | | 4. Satipo |
|
| 239 | ( | 29.9% | ) | | 79 | ( | 9.9% | ) | | 240 | ( | 30.1% | ) | | 240 | ( | 30.1% | ) |
|
 |
0
(0.0%) |
| geo_from_source
[logical] |
1. FALSE |
|
 |
0
(0.0%) |