GCAC {lmDiallel}

General Combining Ability without considering the selfed parents

Description

Design matrix for GCAC, useful to fit Gardner & Eberhart model 3 (GE3) with lm function

Usage

GCAC(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 GCAC 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")
GCAC(Par1,Par2, data=hayman54)