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Which Genomic Relationship Matrix?

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Genomic information can accurately specify relationships among animals, including between those without known common ancestors. Genetic variances estimated with genomic data relate to unknown, more distant, founder populations than those defined by the pedigree. Starting from different sets of assumptions, the properties of some alternative genomic relationship matrices (G) are explored. Although the assumptions and matrices differ, the resulting sets of estimated breeding values predict the differences between animals identically, despite obtaining different estimates of the additive genetic variance - showing that there are many ways of building G that provide identical results. For some methods integer and logic, rather than floating point, operations will expedite building G many-fold.
Original languageEnglish
Title of host publicationProceedings of the Association for the Advancement of Animal Breeding and Genetics
EditorsKim Bunter, Tim Byrne, Hans Daetwyler, Susanne Hermesch, Kathryn Kemper, James Kijas, David Nation, Wayne Pitchford, Suzanne Rowe, Matt Shaffer, Alison van Eenennaam
Place of PublicationArmidale, Australia
PublisherAssociation for the Advancement of Animal Breeding and Genetics (AAABG)
Pages461-464
Volume21
ISBN (Print)9780646945545
Publication statusPublished - 2015
EventAAABG 2015: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics - Lorne, Australia
Duration: 28 Sept 201530 Sept 2015

Conference

ConferenceAAABG 2015: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics
CityLorne, Australia
Period28/09/1530/09/15

Keywords

  • Animal Breeding

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