Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4138
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
http://www.aaabg.org/livestocklibrary/2007/huisman399.pdf
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Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

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