Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares
Moser, G., Crump, R.E., Tier, B., Solkner, J., Zenger, K.R., Khatkar, M.S., Cavanagh, J.A.L., and Raadsma, H.W. (2007) Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares. In: Proceedings of the Association for the Advancement of Animal Breeding and Genetics (17), pp. 227-230. From: 17th AAABG Conference 2007, 23-26 September 2007, Armidale, NSW, Australia.
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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.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||quantitative genetics; dairy cattle; selective breeding; genetics; QTL|
Conference theme "Genetic Improvement - Making it Happen"
|Date Deposited:||20 Jul 2010 04:01|
|FoR Codes:||06 BIOLOGICAL SCIENCES > 0604 Genetics > 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics) @ 100%|
|SEO Codes:||97 EXPANDING KNOWLEDGE > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences @ 50%
97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 50%