GCA {lmDiallel}

General Combining Ability effect

Description

GCA effect to fit Hayman1 & 2 and Griffing 1 & 2 models with lm function

Usage

GCA(P1,P2,type = "fix", data)

Arguments

P1

a variable for the first parent

P2

a variable for the second parent

type

a variable for model selection. May be "fix" (fixed model) or "random" (random model).

data

a 'data.frame' where to look for explanatory variables

Details

a design matrix of n-1 parentals

Value

A design matrix for the GCA effect

Author(s)

Andrea Onofri, Niccolo' Terzaroli , Luigi Russi

References

Onofri, A., Terzaroli, N. & Russi, L. Linear models for diallel crosses: a review with R functions. Theor Appl Genet (2020). https://doi.org/10.1007/s00122-020-03716-8

Examples

data("hayman54")
contrasts(hayman54$Block) <- "contr.sum"
dMod<-lm(Ftime ~ Block + GCA(Par1,Par2)
         + tSCA(Par1, Par2) + RGCA(Par1, Par2)
         + RSCA(Par1,Par2), data = hayman54)
anova(dMod)