IPLGP: Identification of Parental Lines via Genomic Prediction
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.
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