Genomic selection in livestock populations

Goddard, Michael E., Hayes, Ben J. and Meuwissen, Theo H. E. (2010) Genomic selection in livestock populations. Genetics Research, 92 5-6: 413-421. doi:10.1017/S0016672310000613

Author Goddard, Michael E.
Hayes, Ben J.
Meuwissen, Theo H. E.
Title Genomic selection in livestock populations
Journal name Genetics Research   Check publisher's open access policy
ISSN 0016-6723
Publication date 2010-12
Sub-type Article (original research)
DOI 10.1017/S0016672310000613
Open Access Status Not yet assessed
Volume 92
Issue 5-6
Start page 413
End page 421
Total pages 9
Place of publication Cambridge, United Kingdom
Publisher Cambridge University Press
Language eng
Abstract Most traits of economic importance in livestock are either quantitative or complex. Despite considerable efforts, there has been only limited success in identifying the polymorphisms that cause variation in these traits. Nevertheless, selection based on estimated breeding values (BVs), calculated from data on phenotypic performance and pedigree has been very successful. Genomic tools, such as single nucleotide polymorphism (SNP) chips, have led to a new method of selection called 'genomic selection' in which dense SNP genotypes covering the genome are used to predict the BV. In this review we consider the statistical methodology for estimating BVs from SNP data, factors affecting the accuracy, the long-term response to genomic selection and the design of breeding programmes including the management of inbreeding.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Alliance for Agriculture and Food Innovation
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Citation counts: TR Web of Science Citation Count  Cited 25 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 33 times in Scopus Article | Citations
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