| Shukla | R Documentation | 
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).
Tiago Olivoto tiagoolivoto@gmail.com
Shukla, G.K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity. 29:238-245. \Sexpr[results=rd]{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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2134/agronj1991.00021962008300010037x")}
library(metan)
out <- Shukla(data_ge2,
             env = ENV,
             gen = GEN,
             rep = REP,
             resp = PH)
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