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Article

The impact of the rank of marker variance-covariance matrix in principal component evaluation for genomic selection applications.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie - 1 Dec 2011

Dimauro C, Cellesi M, Pintus M A, Macciotta N P P

Abstract excerpt

In genomic selection (GS) programmes, direct genomic values (DGV) are evaluated using information provided by high-density SNP chip. Being DGV accuracy strictly dependent on SNP density, it is likely that an increase in the number of markers per chip will result in severe computational consequences. Aim of present work was to test the effectiveness of principal component analysis (PCA) carried out by chromosome...

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PMID: 22059577
DOI: 10.1111/j.1439-0388.2011.00957.x

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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