bv.standardization: BV standardization

In MoBPS: Modular Breeding Program Simulator

BV standardization

Description

Function to get mean and genetic variance of a trait to a fixed value

Usage

bv.standardization(
  population,
  mean.target = NA,
  var.target = NA,
  gen = NULL,
  database = NULL,
  cohorts = NULL,
  adapt.bve = TRUE,
  adapt.pheno = NULL,
  verbose = FALSE,
  set.zero = FALSE,
  adapt.sigma.e = FALSE,
  traits = NULL
)

Arguments

population	Population list
mean.target	Target mean
var.target	Target variance
gen	Quick-insert for database (vector of all generations to export)
database	Groups of individuals to consider for the export
cohorts	Quick-insert for database (vector of names of cohorts to export)
adapt.bve	Modify previous breeding value estimations by scaling (default: TRUE)
adapt.pheno	Modify previous phenotypes by scaling (default: TRUE)
verbose	Set to TRUE to display prints
set.zero	Set to TRUE to have no effect on the 0 genotype (or 00 for QTLs with 2 underlying SNPs)
adapt.sigma.e	Set to TRUE to scale sigma.e values used based on scaling
traits	Use this parameter to only perform scaling of these traits (alternatively set values in mean/var.target to NA, default: all traits)

Value

Population-list with scaled QTL-effects

Examples

population <- creating.diploid(nsnp=1000, nindi=100, n.additive=100)
population <- bv.standardization(population, mean.target=200, var.target=5)

MoBPS documentation built on Nov. 5, 2025, 6:26 p.m.