SG: General Selection Gain Function

In EstimateBreed: Estimation of Environmental Variables and Genetic Parameters

General Selection Gain Function

Description

Computes selection gain using different selection methods

Usage

SG(
  Var,
  h,
  VF = NULL,
  P = "1",
  DS = NULL,
  Year = NULL,
  method = "pressure",
  verbose = FALSE
)

Arguments

Var	The column with the name of the variables of interest
h	The column with the restricted heritability values
VF	The column with the phenotypic variance values (optional)
P	The column with the progeny values or selection pressure (optional)
DS	The column with the selection differential values (optional)
Year	The column with the year of selection (optional)
method	The selection method: 'pressure', 'differential', 'genitor_control", or 'year_weighted'
verbose	Logical argument. Runs the code silently if FALSE.

Value

A data frame with selection gain results

Author(s)

Willyan Junior Adorian Bandeira

Ivan Ricardo Carvalho

Murilo Vieira Loro

Leonardo Cesar Pradebon

Jose Antonio Gonzalez da Silva

Examples

library(EstimateBreed)

SG(Var = c("A", "B", "C"), h = 0.5, VF = 1.2, P = "10", method = "pressure")
SG(Var = c("A", "B", "C"), h = 0.5, DS = 1.5, method = "differential")
SG(Var = c("A", "B", "C"), h = 0.5, VF = 1.2, P = "10", method = "genitor_control")
SG(Var = c("A", "B", "C"), h = 0.5, VF = 1.2, P = "10", Year = 5, method = "year_weighted")

EstimateBreed documentation built on April 4, 2025, 5:37 a.m.