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This Article Free Via Open Access Full Text Full Text (PDF) All Versions of this Article: jas.2007-0733v1 86/9/2089    most recent Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Hayes, B. J. Articles by Goddard, M. E. Search for Related Content PubMed PubMed Citation Articles by Hayes, B. J. Articles by Goddard, M. E.

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

B. J. Hayes^*,1 and M. E. Goddard^*,

^* Department of Primary Industries Victoria, Attwood, Victoria 3049, Australia; and Land and Food Resources, University of Melbourne, Parkville, Victoria 3010, Australia

¹ Corresponding author: ben.hayes{at}dpi.vic.gov.au

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.

Key Words: breeding values • marker-derived relationship matrix

This article has been cited by other articles:

				B. J. Hayes, P. J. Bowman, A. J. Chamberlain, and M. E. Goddard Invited review: Genomic selection in dairy cattle: Progress and challenges J Dairy Sci, February 1, 2009; 92(2): 433 - 443. [Abstract] [Full Text] [PDF]