Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/28990
Title: Genotyping Strategies of Selection Candidates in Sheep Breeding Programs
Contributor(s): Granleese, T  (author); Clark, S A  (author)orcid ; van der Werf, J H J  (author)orcid 
Publication Date: 2017
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/28990
Open Access Link: http://www.aaabg.org/aaabghome/AAABG22papers/76Granleese22333.pdfOpen Access Link
Abstract: Genotyping strategies for both ram and ewe selection candidates were investigated to maximise the benefit of genomic selection while minimising genotyping costs. Through stochastic simulation we investigated both early and late-stage genomic selection of rams using a selection index that contained an early in life measurement (post-weaning weight) and a hard to measure trait (intra-muscular fat) that was not measured on selection candidates. We also simulated genotyping strategies for female selection candidates in breeding programs using natural mating, multiple ovulation and embryo transfer (MOET) or juvenile in vitro fertilisation and embryo transfer (JIVET). Our results showed that genomic selection of rams lifted genetic gain by 40%. Genomic testing the top 20% of ram selection candidates achieved 80% of the maximum benefit using late-stage genomic selection, while testing 47% of the top ranked rams implementing early-stage genomic selection was required to achieve 80% of the benefit. Genetic gain lifted by a maximum of 15-65% for genomic testing in (only) ewe selection candidates. To achieve 80% of the maximum benefit of genomic selection, 65%, 35% and 45% of ewe selection candidates required genomic testing each year for natural, MOET and JIVET breeding programs, respectively. Genotyping ram selection candidates provided the best value for money.
Publication Type: Conference Publication
Conference Details: 
Source of Publication: Proceedings of the 22nd Conference of the Association for the Advancement of Animal Breeding and Genetics, v.22, p. 333-336
Publisher: AAABG: Association for the Advancement of Animal Breeding and Genetics
Place of Publication: Fitzroy, Australia
ISSN: 1328-3227
Field of Research (FOR): 070201 Animal Breeding
060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)
070299 Animal Production not elsewhere classified
Socio-Economic Objective (SEO): 830310 Sheep - Meat
830311 Sheep - Wool
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://agbu.une.edu.au/AAABG_2017.html
http://www.aaabg.org/aaabghome/
Appears in Collections:Conference Publication
School of Environmental and Rural Science

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