Optimizing sheep breeding programs with genomic selection

Author(s)
Van Der Werf, Julius H
Horton, B J
Banks, Robert
Publication Date
2011
Abstract
We discuss genomic selection as a way to provide information on breeding values for traits that are difficult to select for. A brief review of genomic prediction methods shows that currently in sheep, genomic prediction requires selection candidates to be genetically related to a reference population although it allows information of more distantly related individuals to contribute to selection accuracy. Subsequently we discuss genomic selection in a sheep breeding program context and discuss possible ways to optimize genotyping strategies in a breeding nucleus. Genotyping a proportion of pre-selected young males saves costs without compromising genetic gain, making genotyping cost effective even at a high testing cost. When only counting expressions of genetic gain in two tiers, the optimal proportion of males genotyped becomes lower and genotyping becomes prohibitive if testing costs are above $100 per head, unless breeding males can be used in the first year.
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.19, p. 315-322
ISBN
9780646559155
ISSN
1328-3227
Link
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Title
Optimizing sheep breeding programs with genomic selection
Type of document
Conference Publication
Entity Type
Publication

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