Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4161
Title: Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares
Contributor(s): Moser, G (author); Crump, Ronald Edward  (author); Tier, Bruce  (author); Solkner, J (author); Zenger, K R (author); Khatkar, M S (author); Cavanagh, J A L (author); Raadsma, H W (author)
Publication Date: 2007
Handle Link: https://hdl.handle.net/1959.11/4161
Abstract: The method of partial least squares was applied to the prediction of genetic merit using whole genome scan data consisting of 10715 SNP. The method is particularly suited to data sets that have many more markers than observations and in which markers are collinear due to high linkage disequilibrium. A SNP ranking method was applied to select a subset of markers which have equal predictive power compared to using all SNP simultaneously.
Publication Type: Conference Publication
Conference Details: AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 23rd - 26th September, 2007
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.17, p. 227-230
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2008: 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
Socio-Economic Objective (SEO) 2008: 830302 Dairy Cattle
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://trove.nla.gov.au/work/35062558?selectedversion=NBD42373479
http://www.aaabg.org/livestocklibrary/2007/moser227.pdf
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

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