mate.backcro: Back cross

In simer: Data Simulation for Life Science and Breeding

Back cross

Description

Produce individuals by back cross.

Usage

mate.backcro(SP, ncpus = 0, verbose = TRUE)

Arguments

SP	a list of all simulation parameters.
ncpus	the number of threads used, if NULL, (logical core number - 1) is automatically used.
verbose	whether to print detail.

Details

Build date: Apr 12, 2022 Last update: Jan 28, 2025

Value

the function returns a list containing

$reprod$pop.gen

the generations of simulated population.

$reprod$reprod.way

reproduction method, it consists of 'clone', 'dh', 'selfpol', 'randmate', 'randexself', 'assort', 'disassort', '2waycro', '3waycro', '4waycro', 'backcro', and 'userped'.

$reprod$sex.rate

the sex ratio of simulated population.

$reprod$prog

the progeny number of an individual.

$geno

a list of genotype simulation parameters.

$pheno

a list of phenotype simulation parameters.

Author(s)

Dong Yin

Examples

# Generate annotation simulation parameters
SP <- param.annot(qtn.num = list(tr1 = 10))
# Generate genotype simulation parameters
SP <- param.geno(SP = SP, pop.marker = 1e4, pop.ind = 1e2)
# Generate phenotype simulation parameters
SP <- param.pheno(SP = SP, pop.ind = 100)
# Generate selection parameters
SP <- param.sel(SP = SP, sel.single = "ind")
# Generate reproduction parameters
SP <- param.reprod(SP = SP, reprod.way = "backcro")

# Run annotation simulation
SP <- annotation(SP)
# Run genotype simulation
SP <- genotype(SP)
# Run phenotype simulation
SP <- phenotype(SP)
# Two different breeds are cut by sex
SP$pheno$pop$gen1$sex <- rep(c(1, 2), c(50, 50))
# Run selection
SP <- selects(SP)
# Run back cross
SP <- mate.backcro(SP)

simer documentation built on April 3, 2025, 9:24 p.m.