comb.indices {selection.index}

Construction of selection indices based on number of character grouping

Description

Construction of selection indices based on number of character grouping

Usage

comb.indices(ncomb, pmat, gmat, wmat, wcol = 1, GAY)

Arguments

ncomb

Number of Characters/Traits group

pmat

Phenotypic Variance-Covariance Matrix

gmat

Genotypic Variance-Covariance Matrix

wmat

Weight Matrix

wcol

Weight column number incase more than one weights, by default its 1

GAY

Genetic Advance of comparative Character/Trait i.e. Yield (Optional argument)

Value

Data frame of all possible selection indices

Examples

gmat<- gen.varcov(seldata[,3:9], seldata[,2], seldata[,1])
pmat<- phen.varcov(seldata[,3:9], seldata[,2], seldata[,1])
wmat<- weight.mat(weight)
comb.indices(ncomb = 1, pmat = pmat, gmat = gmat, wmat = wmat, wcol = 1, GAY = 1.075)