J. Anim Sci.
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Published online first on April 11, 2008
J. Anim Sci. 1910. doi:10.2527/jas.2007-0733
© 2008 American Society of Animal Science
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J. Anim Sci., doi: 10.2527/jas.2007-0733
©Copyright, 2008, The American Society of Animal Science

ARTICLE

TECHNICAL NOTE: PREDICTION OF BREEDING VALUES USING MARKER DERIVED RELATIONSHIP MATRICES

B. J. Hayes 1* M. E. Goddard 2

1 Department of Primary Industries Victoria, Attwood, Vic. 3049, Australia
2 Department of Primary Industries Victoria, Attwood, Vic. 3049, Australia; Land and Food Resources, University of Melbourne, Parkville, Vic. 3010, Australia

* To whom correspondence should be addressed. E-mail: ben.hayes{at}dpi.vic.gov.au.


  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 9323 SNP markers genotyped.

Key Words: breeding values, marker derived relationship matrix




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J Dairy Sci, February 1, 2009; 92(2): 433 - 443.
[Abstract] [Full Text] [PDF]


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