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.
Version: | 0.1.0 |
Imports: | ggplot2, sommer, grDevices, stats |
Published: | 2021-02-17 |
Author: | Ping-Yuan Chung [cre], Chen-Tuo Liao [aut] |
Maintainer: | Ping-Yuan Chung <r06621204 at ntu.edu.tw> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | IPLGP results |
Reference manual: | IPLGP.pdf |
Package source: | IPLGP_0.1.0.tar.gz |
Windows binaries: | r-devel: IPLGP_0.1.0.zip, r-release: IPLGP_0.1.0.zip, r-oldrel: IPLGP_0.1.0.zip |
macOS binaries: | r-release: IPLGP_0.1.0.tgz, r-oldrel: IPLGP_0.1.0.tgz |
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