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Article

Whole-genome regression and prediction methods applied to plant and animal breeding.

Genetics - 1 Feb 2013

de Los Campos Gustavo, Hickey John M, Pong-Wong Ricardo, Daetwyler Hans D, Calus Mario P L

Abstract excerpt

Genomic-enabled prediction is becoming increasingly important in animal and plant breeding and is also receiving attention in human genetics. Deriving accurate predictions of complex traits requires implementing whole-genome regression (WGR) models where phenotypes are regressed on thousands of markers concurrently. Methods exist that allow implementing these large-p with small-n regressions, and genome-enabled...

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Identifiers

PMID: 22745228
DOI: 10.1534/genetics.112.143313
PMCID: PMC3567727

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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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