Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10103
Title: Optimizing sheep breeding programs with genomic selection
Contributor(s): Van Der Werf, Julius H (author)orcid ; Horton, B J (author); Banks, Robert (author)
Publication Date: 2011
Handle Link: https://hdl.handle.net/1959.11/10103
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.
Publication Type: Conference Publication
Conference Name: 19th Conference of the Association for the Advancement of Animal Breeding and Genetics, Perth, Australia, 19th - 21st July, 2011
Source of Publication: Breeding Objectives: A New Paradigm, p. 315-322
Publisher: AAABG: Association for the Advancement of Animal Breeding and Genetics
Place of Publication: Perth, Australia
Field of Research (FOR): 070201 Animal Breeding
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://www.aaabg.org/aaabg19/
http://trove.nla.gov.au/work/162660639
Series Name: Proceedings of the AAABG ... Conference
Series Number : 19
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Appears in Collections:Conference Publication
School of Environmental and Rural Science

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