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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: | 2.0.5 |
| Imports: | ggplot2, sommer, grDevices, stats |
| Published: | 2024-08-01 |
| DOI: | 10.32614/CRAN.package.IPLGP |
| Author: | Ping-Yuan Chung [cre], Chen-Tuo Liao [aut] |
| Maintainer: | Ping-Yuan Chung <r06621204 at ntu.edu.tw> |
| BugReports: | https://github.com/py-chung/IPLGP/issues |
| License: | GPL-2 |
| URL: | https://github.com/py-chung/IPLGP |
| NeedsCompilation: | no |
| CRAN checks: | IPLGP results |
| Reference manual: | IPLGP.pdf |
| Package source: | IPLGP_2.0.5.tar.gz |
| Windows binaries: | r-devel: IPLGP_2.0.5.zip, r-release: IPLGP_2.0.5.zip, r-oldrel: IPLGP_2.0.5.zip |
| macOS binaries: | r-release (arm64): IPLGP_2.0.5.tgz, r-oldrel (arm64): IPLGP_2.0.5.tgz, r-release (x86_64): IPLGP_2.0.5.tgz, r-oldrel (x86_64): IPLGP_2.0.5.tgz |
| Old sources: | IPLGP archive |
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