Learn R Programming

IPLGP (version 2.0.5)

Identification of Parental Lines via Genomic Prediction

Description

Combining genomic prediction with Monte Carlo simulation, three different strategies are implemented to select parental lines for multiple traits in plant breeding. The selection strategies include (i) GEBV-O considers only genomic estimated breeding values (GEBVs) of the candidate individuals; (ii) GD-O considers only genomic diversity (GD) of the candidate individuals; and (iii) GEBV-GD considers both GEBV and GD. The above method can be seen in Chung PY, Liao CT (2020) . Multi-trait genomic best linear unbiased prediction (MT-GBLUP) model is used to simultaneously estimate GEBVs of the target traits, and then a selection index is adopted to evaluate the composite performance of an individual.

Copy Link

Version

Install

install.packages('IPLGP')

Monthly Downloads

216

Version

2.0.5

License

GPL-2

Issues

Pull Requests

Stars

Forks

Maintainer

Ping-Yuan Chung

Last Published

August 1st, 2024

Functions in IPLGP (2.0.5)

simu.GEBVO

Simulate Progeny with GEBV-O Strategy
geno.d

Generate the Genetic Design Matrix with dominance Effect
output.best

Summary For The Best Individuals
simu.gamete

Simulate The Genotype Of A Gamete
simu.GDO

Simulate Progeny with GD-O Strategy
simu.GEBVGD

Simulate Progeny with GEBV-GD Strategy
GA.Dscore

Search For A Subset With The Highest D-score
output.gain

Summary For Genetic Gain
GBLUP.fit

Muti-trait GBLUP Model
phe.sd

Standardize Phenotypic Values