Article
Optimization of training sets for genomic prediction of early-stage single crosses in maize.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Feb 2021
Kadam Dnyaneshwar C, Rodriguez Oscar R, Lorenz Aaron J
Abstract excerpt
KEY MESSAGE: Training population optimization algorithms are useful for efficiently training genomic prediction models for single-cross performance, especially if the population is extended beyond only realized crosses to all possible single crosses. Genomic prediction of single-cross performance could allow effective evaluation of all possible single crosses between all inbreds developed in a hybrid breeding...
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