Article
Training set design in genomic prediction with multiple biparental families.
The plant genome - 1 Nov 2021
Zhu Xintian, Leiser Willmar L, Hahn Volker, Würschum Tobias
Abstract excerpt
Genomic selection is a powerful tool to reduce the cycle length and enhance the genetic gain of complex traits in plant breeding. However, questions remain about the optimum design and composition of the training set. In this study, we used 944 soybean [Glycine max (L.) Merr.] recombinant inbred lines from eight families derived through a partial-diallel mating design among five parental lines. The...
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