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.
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 (\(ssiShukaVar = rMean + rShukaVar\)).
Arguments
.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, resp = c(var1, var2, var3).
verbose
Logical argument. If verbose = FALSE the code will run
silently.
Shukla, G.K. 1972. Some statistical aspects of partitioning
genotype-environmental components of variability. Heredity. 29:238-245.
tools:::Rd_expr_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.
tools:::Rd_expr_doi("10.2134/agronj1991.00021962008300010037x")