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Article

Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environments.

G3 (Bethesda, Md.) - 1 Nov 2012

Windhausen Vanessa S, Atlin Gary N, Hickey John M, Crossa Jose, Jannink Jean-Luc, Sorrells Mark E, Raman Babu, Cairns Jill E, Tarekegne Amsal, Semagn Kassa, Beyene Yoseph, Grudloyma Pichet, Technow Frank, Riedelsheimer Christian, Melchinger Albrecht E

Abstract excerpt

Genomic prediction is expected to considerably increase genetic gains by increasing selection intensity and accelerating the breeding cycle. In this study, marker effects estimated in 255 diverse maize (Zea mays L.) hybrids were used to predict grain yield, anthesis date, and anthesis-silking interval within the diversity panel and testcross progenies of 30 F(2)-derived lines from each of five populations....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 23173094
DOI: 10.1534/g3.112.003699
PMCID: PMC3484673

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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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