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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:

Gen

genotype (factor, 60 levels).

Institute

breeding institute of the genotype (factor; empty for two check varieties).

Rep

replicate within environment (factor, levels 1, 2).

Block

incomplete block within replicate (factor, levels 1 to 6); the analyses of the package treat the replicates as complete blocks.

Env

environment (factor, 11 levels: FSD, FSDR, Okara, Sargodha, Gujranwala, KotNaina, KSK, Khanewal, Sahiwal, Bhakkar, Bahawalnagar).

Yield

grain yield (integer, kilograms per hectare; 2363 to 6300).

Source

National uniform wheat yield trial data of the authors' collaborators in Pakistan.

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