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Title: Using Genomics to Improve Reproduction Traits in Sheep
Contributor(s): Daetwyler, H D (author); Bolormaa, S (author); Kemper, Kathryn Elizabeth (author); Brown, Daniel (author); Swan, Andrew (author); Van Der Werf, Julius H (author)orcid ; Hayes, B J (author)
Publication Date: 2014
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Abstract: Reproduction traits are important but difficult to improve in sheep because they are lowly heritable and are recorded later in life. Genomic information can be used for genomic prediction of breeding values to increase the accuracy of selection. Alternatively, genomic information can be used to identify recessive lethal mutations, which cause embryonic losses. We investigated both uses of genomic information using 54k SNP in the Border Leicester, Merino and Polled Dorset breeds. Genomic prediction accuracy of three reproduction traits was greater when compared to pedigree methods, especially in less related animals. Furthermore, making use of both sire and ewe information in the reference set increased accuracies. Ten haplotypes carrying potential recessive lethal mutations were identified. One haplotype spanning 50 SNP alleles was significantly associated with litter size. The findings suggest genomic tools should be used to increase reproductive efficiency in sheep.
Publication Type: Conference Publication
Conference Name: WCGALP 2014: 10th World Congress on Genetics Applied to Livestock Production, Vancouver, Canada, 17th - 22nd August, 2014
Conference Details: WCGALP 2014: 10th World Congress on Genetics Applied to Livestock Production, Vancouver, Canada, 17th - 22nd August, 2014
Source of Publication: Proceedings of the 10th World Congress on Genetics Applied to Livestock Production (WCGALP) (Genetics of Trait Complexes: Reproduction), p. 1-6
Publisher: American Society of Animal Science
Place of Publication: Champaign, United States of America
Field of Research (FOR): 070201 Animal Breeding
060408 Genomics
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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School of Environmental and Rural Science

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