Technical Note: Computing Strategies in Genome-Wide Selection

Genome-wide genetic evaluation might involve the computation of BLUP-like estimations, potentially including thousands of covariates (i.e., single-nucleotide polymorphism markers) for each record. This implies dense Henderson's mixed-model equations and considerable computing resources in time...

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Bibliographic Details
Published in:	Journal of dairy science Vol. 91; no. 1; pp. 360 - 366
Main Authors:	Legarra, A, Misztal, I
Format:	Journal Article
Language:	English
Published:	Savoy, IL Elsevier Inc 01.01.2008 American Dairy Science Association Am Dairy Sci Assoc
Subjects:	Agricultural sciences Algorithms Animal productions Animals artificial selection Biological and medical sciences Body Weight cattle Cholesky decomposition Computational Biology Computational Biology - methods computer software covariance equations Female Food industries Fundamental and applied biological sciences. Psychology Gauss-Seidel Gauss-Seidel with residuals update genetic evaluation genetic markers genome genome-wide selection genomic selection genomics Genomics - methods Life Sciences Male marker-assisted selection mathematical models matrix free Gauss-Seidel methods Mice Milk and cheese industries. Ice creams Models, Genetic Polymorphism, Single Nucleotide preconditioned conjugate gradients selection criteria single nucleotide polymorphism Terrestrial animal productions variance Vertebrates genomic selection marker-assisted selection genetic evaluation genome-wide selection Evaluation Genomics Dairy industry Marker assisted selection Genetics Strategy Computing Genome Genome-wide selection, genomic selection, genetic evaluation, marker-assisted selection
ISSN:	0022-0302, 1525-3198, 1525-3198
Online Access:	Get full text
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