Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/4502
Title: | QTL mapping using logistic regression | Contributor(s): | Zhang, Yuandan (author) ; Tier, Bruce (author) | Publication Date: | 2005 | Handle Link: | https://hdl.handle.net/1959.11/4502 | Abstract: | This study compares logistic regression (LR) with maximum likelihood (ML) for mapping quantitative trait loci (QTL) in halfsib family with respect to genotyping schemes (full and selective), various levels of marker informativeness and marker interval. Under selective genotyping, the power of ML is limited in regions with low information contents. In this case, LR performed better than ML and provides a straightforward and robust solution to such situation. | Publication Type: | Conference Publication | Conference Details: | AAABG 2005: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics, Noosa Lakes, Australia, 25th - 28th September, 2005 | Source of Publication: | Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.16, p. 354-357 | Place of Publication: | Collingwood, Australia | ISSN: | 1328-3227 | Fields of Research (FoR) 2008: | 070201 Animal Breeding | Socio-Economic Objective (SEO) 2008: | 830311 Sheep - Wool | Peer Reviewed: | Yes | HERDC Category Description: | E1 Refereed Scholarly Conference Publication | Publisher/associated links: | http://www.aaabg.org/livestocklibrary/2005/354zhang.pdf http://trove.nla.gov.au/work/13321110 |
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Appears in Collections: | Animal Genetics and Breeding Unit (AGBU) Conference Publication |
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