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Article

Optimizing the allocation of resources for genomic selection in one breeding cycle.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Nov 2013

Riedelsheimer Christian, Melchinger Albrecht E

Abstract excerpt

KEY MESSAGE: We developed a universally applicable planning tool for optimizing the allocation of resources for one cycle of genomic selection in a biparental population. The framework combines selection theory with constraint numerical optimization and considers genotype × environment interactions. Genomic selection (GS) is increasingly implemented in plant breeding programs to increase selection gain but...

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PMID: 23982591
DOI: 10.1007/s00122-013-2175-9

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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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