EstimateBreed (version 1.0.2)

SG: 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
)

Value

A data frame with selection gain results

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.

Author

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")