Technical note: prediction of breeding values using marker-derived relationship matrices

Hayes, B. J. and Goddard, M. E. (2008) Technical note: prediction of breeding values using marker-derived relationship matrices. Journal of Animal Science, 86 9: 2089-2092. doi:10.2527/jas.2007-0733


Author Hayes, B. J.
Goddard, M. E.
Title Technical note: prediction of breeding values using marker-derived relationship matrices
Journal name Journal of Animal Science   Check publisher's open access policy
ISSN 0021-8812
1525-3163
Publication date 2008
Sub-type Article (original research)
DOI 10.2527/jas.2007-0733
Open Access Status Not yet assessed
Volume 86
Issue 9
Start page 2089
End page 2092
Total pages 4
Place of publication Champaign, IL, United States
Publisher American Society of Animal Science
Language eng
Abstract In livestock populations, estimation of breeding values for selection requires a matrix describing the additive relationship between individuals in the population. This matrix can be derived from pedigree information. In some livestock populations, pedigree information may be unavailable, incomplete, or in error. Here we use simulated data to demonstrate that marker-derived relationship matrices can be used to predict breeding values and estimate additive variance components, provided the markers are sufficiently dense. The approach is demonstrated for an Angus data set with 9,323 SNP markers genotyped.
Keyword Breeding values
Marker-derived relationship matrix
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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