The function computes the Shukla's stability variance parameter (1972) and uses the Kang's nonparametric stability (rank sum) to imcorporate the mean performance and stability into a single selection criteria.
Shukla(.data, env, gen, rep, resp, verbose = TRUE)
.data | The dataset containing the columns related to Environments, Genotypes, replication/block and response variable(s). |
---|---|
env | The name of the column that contains the levels of the environments. |
gen | The name of the column that contains the levels of the genotypes. |
rep | The name of the column that contains the levels of the replications/blocks. |
resp | The response variable(s). To analyze multiple variables in a
single procedure use, for example, |
verbose | Logical argument. If |
An object of class Shukla
, which is a list containing the results for each
variable used in the argument resp
. For each variable, a tibble with the following
columns is returned.
GEN the genotype's code.
Y the mean for the response variable.
ShuklaVar The Shukla's stability variance parameter.
rMean The rank for Y (decreasing).
rShukaVar The rank for ShukaVar.
ssiShukaVar The simultaneous selection index (\(ssiShukaVar = rMean + rShukaVar\)).
Shukla, G.K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity. 29:238-245. doi: 10.1038/hdy.1972.87
Kang, M.S., and H.N. Pham. 1991. Simultaneous Selection for High Yielding and Stable Crop Genotypes. Agron. J. 83:161. doi: 10.2134/agronj1991.00021962008300010037x
Tiago Olivoto tiagoolivoto@gmail.com