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Article

Using eigenvalues as variance priors in the prediction of genomic breeding values by principal component analysis.

Journal of dairy science - 1 Jun 2010

Macciotta N P P, Gaspa G, Steri R, Nicolazzi E L, Dimauro C, Pieramati C, Cappio-Borlino A

Abstract excerpt

Genome-wide selection aims to predict genetic merit of individuals by estimating the effect of chromosome segments on phenotypes using dense single nucleotide polymorphism (SNP) marker maps. In the present paper, principal component analysis was used to reduce the number of predictors in the estimation of genomic breeding values for a simulated population. Principal component extraction was carried out either...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 20494186
DOI: 10.3168/jds.2009-3029

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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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