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Title: Predicting Genomic Selection Accuracy from Hetergeneous Sources
Contributor(s): Van Der Werf, Julius H  (author)orcid ; Clark, Sam A  (author)orcid ; Lee, Sang Hong  (author)
Publication Date: 2015
Open Access: Yes
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Abstract: We predict genomic selection accuracy from a heterogeneous reference population that contains close relatives, herd- or flock mates and individuals from the wider population, using an established theory. The various sources of information were modeled as different and independent reference populations with different effective sizes. We show that information on close relatives can have a substantial effect on genomic prediction accuracy. We also show the increase of the genomic prediction accuracy to be less reliant on higher marker density or total reference population size when there are more closely related individuals to predict from. Conversely, the value of close relatives is smaller when the total reference population size is larger. Our modelling is useful to assess the value of a population reference versus a breeder's own reference, based on own animals genotyped.
Publication Type: Conference Publication
Conference Details: AAABG 2015: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics, Lorne, Australia, 28th - 30th September, 2015
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.21, p. 161-164
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2008: 070201 Animal Breeding
Fields of Research (FoR) 2020: 300305 Animal reproduction and breeding
Socio-Economic Objective (SEO) 2008: 830311 Sheep - Wool
Socio-Economic Objective (SEO) 2020: 100413 Sheep for wool
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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Appears in Collections:Conference Publication
School of Environmental and Rural Science

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