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Article

Genome-based prediction of maize hybrid performance across genetic groups, testers, locations, and years.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Jun 2014

Albrecht Theresa, Auinger Hans-Jürgen, Wimmer Valentin, Ogutu Joseph O, Knaak Carsten, Ouzunova Milena, Piepho Hans-Peter, Schön Chris-Carolin

Abstract excerpt

KEY MESSAGE: The calibration data for genomic prediction should represent the full genetic spectrum of a breeding program. Data heterogeneity is minimized by connecting data sources through highly related test units. One of the major challenges of genome-enabled prediction in plant breeding lies in the optimum design of the population employed in model training. With highly interconnected breeding cycles...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Hybridization, Genetic

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Share to Polymorphism, Single Nucleotide

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Source

Identifiers

PMID: 24723140
DOI: 10.1007/s00122-014-2305-z

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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