Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/28979
Title: Genotyping strategies of selection candidates in livestock breeding programmes
Contributor(s): Granleese, Tom  (author); Clark, Samuel A  (author)orcid ; van der Werf, Julius H J  (author)orcid 
Publication Date: 2019-03
DOI: 10.1111/jbg.12381
Handle Link: https://hdl.handle.net/1959.11/28979
Abstract: Benefits of genomic selection (GS) in livestock breeding operations are well known particularly where traits are sex‐limited, hard to measure, have a low heritability and/or measured later in life. Sheep and beef breeders have a higher cost:benefit ratio for GS compared to dairy. Therefore, strategies for genotyping selection candidates should be explored to maximize the economic benefit of GS. The aim of the paper was to investigate, via simulation, the additional genetic gain achieved by selecting proportions of male selection candidates to be genotyped via truncation selection. A two‐trait selection index was used that contained an easy and early‐in‐life measurement (such as post‐weaning weight) as well as a hard‐to‐measure trait (such as intra‐muscular fat). We also evaluated the optimal proportion of female selection candidates to be genotyped in breeding programmes using natural mating and/or artificial insemination (NatAI), multiple ovulation and embryo transfer (MOET) or juvenile in vitro fertilization and embryo transfer (JIVET). The final aim of the project was to investigate the total dollars spent to increase the genetic merit by one genetic standard deviation (SD ) using GS and/or reproductive technologies. For NatAI and MOET breeding programmes, females were selected to have progeny by 2 years of age, while 1‐month‐old females were required for JIVET. Genomic testing the top 20% of male selection candidates achieved 80% of the maximum benefit from GS when selection of male candidates prior to genomic testing had an accuracy of 0.36, while 54% needed to be tested to get the same benefit when the prior selection accuracy was 0.11. To achieve 80% of the maximum benefit in female, selection required 66%, 47% and 56% of female selection candidates to be genotyped in NatAI, MOET and JIVET breeding programmes, respectively. While JIVET and MOET breeding programmes achieved the highest annual genetic gain, genotyping male selection candidates provides the most economical way to increase rates of genetic gain facilitated by genomic testing.
Publication Type: Journal Article
Source of Publication: Journal of Animal Breeding and Genetics, 136(2), p. 91-101
Publisher: Wiley-Blackwell Verlag GmbH
Place of Publication: Germany
ISSN: 1439-0388
0931-2668
Fields of Research (FoR) 2008: 070201 Animal Breeding
060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)
060408 Genomics
Fields of Research (FoR) 2020: 300305 Animal reproduction and breeding
310506 Gene mapping
310509 Genomics
Socio-Economic Objective (SEO) 2008: 830399 Livestock Raising not elsewhere classified
830302 Dairy Cattle
Socio-Economic Objective (SEO) 2020: 100402 Dairy cattle
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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