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Article

Genomic prediction in hybrid breeding: I. Optimizing the training set design.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 2 Aug 2023

Melchinger Albrecht E, Fernando Rohan, Stricker Christian, Schön Chris-Carolin, Auinger Hans-Jürgen

Abstract excerpt

KEY MESSAGE: Training sets produced by maximizing the number of parent lines, each involved in one cross, had the highest prediction accuracy for H0 hybrids, but lowest for H1 and H2 hybrids. Genomic prediction holds great promise for hybrid breeding but optimum composition of the training set (TS) as determined by the number of parents (nTS) and crosses per parent (c) has received little attention. Our objective...

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Identifiers

PMID: 37532821
DOI: 10.1007/s00122-023-04413-y
PMCID: PMC10397156

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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