CRAN/E | IPLGP

IPLGP

Identification of Parental Lines via Genomic Prediction

Installation

About

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) doi:10.1371/journal.pone.0243159. 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.

github.com/py-chung/IPLGP
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Key Metrics

Version 2.0.4
Published 2023-04-06 393 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Ping-Yuan Chung

r06621204@ntu.edu.tw

Authors

Ping-Yuan Chung

cre

Chen-Tuo Liao

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

IPLGP archive

Imports

ggplot2
sommer
grDevices
stats