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|Title:||What genetic group structure to fit?: A Bayesian approach applied to yearling worm egg count data in Merino sheep||Contributor(s):||Huisman, Abe (author); Brown, Daniel (author)||Publication Date:||2007||Handle Link:||https://hdl.handle.net/1959.11/4138||Abstract:||Genetic groups need to be fitted in a genetic evaluation model to accommodate animals with unknown parents that come from a wide variety of sources. Different genetic grouping strategies were investigated for worm egg count data extracted from Sheep Genetics Australia's Merino database. A Bayesian approach was implemented that tested whether the genetic group variance was significantly different from zero. Four genetic grouping strategies were compared, 1) grouping on average fibre diameter, 2) groups by flock, 3) groups by flock-period, and 4) groups by flock-year. Two additional strategies were grouping strategies 3 and 4 with an assumed autocorrelation structure between genetic groups within flock.||Publication Type:||Conference Publication||Conference Name:||Genetic Improvement - Making it Happen, University of New England, Armidale, NSW, Australia, September 23 - September 26 2007||Conference Details:||Genetic Improvement - Making it Happen, University of New England, Armidale, NSW, Australia, September 23 - September 26 2007||Source of Publication:||Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics, p. 399-402||Publisher:||AAABG: Association for the Advancement of Animal Breeding and Genetics||Place of Publication:||Armidale, NSW, Australia||ISSN:||1328-3227||Field of Research (FOR):||070201 Animal Breeding||Socio-Economic Outcome Codes:||830311 Sheep - Wool||Peer Reviewed:||Yes||HERDC Category Description:||E1 Refereed Scholarly Conference Publication||Other Links:||http://trove.nla.gov.au/work/35062558?selectedversion=NBD42373479
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|Appears in Collections:||Animal Genetics and Breeding Unit (AGBU)|
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