Grain yield of 60 wheat genotypes from breeding institutes of Pakistan, grown in 11 environments (locations of Punjab) in randomized complete blocks with two replicates; every replicate is split into six incomplete blocks of ten plots. The data illustrate every analysis of the package.
Usage
data(ge_data)Format
A data.frame with 1320 rows (60 genotypes by 11 environments by 2 replicates) and 6 columns:
Gengenotype (factor, 60 levels).
Institutebreeding institute of the genotype (factor; empty for two check varieties).
Repreplicate within environment (factor, levels
1,2).Blockincomplete block within replicate (factor, levels
1to6); the analyses of the package treat the replicates as complete blocks.Envenvironment (factor, 11 levels:
FSD,FSDR,Okara,Sargodha,Gujranwala,KotNaina,KSK,Khanewal,Sahiwal,Bhakkar,Bahawalnagar).Yieldgrain yield (integer, kilograms per hectare; 2363 to 6300).
Author
Muhammad Yaseen (myaseen208@gmail.com), Kent M. Eskridge (keskridge1@unl.edu)
Examples
data(ge_data)
str(ge_data)
#> 'data.frame': 1320 obs. of 6 variables:
#> $ Gen : Factor w/ 60 levels "013BT034","122557",..: 22 23 8 7 45 25 24 12 13 14 ...
#> $ Institute: Factor w/ 23 levels "","AARI, FSD",..: 23 23 9 9 19 11 11 5 5 5 ...
#> $ Rep : Factor w/ 2 levels "1","2": 1 1 1 1 1 1 1 1 1 1 ...
#> $ Block : Factor w/ 6 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
#> $ Env : Factor w/ 11 levels "FSD","FSDR","Okara",..: 1 1 1 1 1 1 1 1 1 1 ...
#> $ Yield : int 4210 4728 5010 3512 4716 3562 3953 5128 3758 5185 ...
with(data = ge_data, expr = table(Env, Rep))
#> Rep
#> Env 1 2
#> FSD 60 60
#> FSDR 60 60
#> Okara 60 60
#> Sargodha 60 60
#> Gujranwala 60 60
#> KotNaina 60 60
#> KSK 60 60
#> Khanewal 60 60
#> Sahiwal 60 60
#> Bhakkar 60 60
#> Bahawalnagar 60 60