Estimation of quantitative genetic parameters
This paper gives a short review of the development of genetic parameter estimation over the last 40 years. The need to analyse genetic processes in both animal selection experiments and animal breeding improvement programmes motivated the majority of this work. The usage of animal model in conjuncti...
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Published in | Proceedings of the Royal Society. B, Biological sciences Vol. 275; no. 1635; pp. 679 - 686 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
London
The Royal Society
22.03.2008
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Subjects | |
Online Access | Get full text |
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Summary: | This paper gives a short review of the development of genetic parameter estimation over the last 40 years. The need to analyse genetic processes in both animal selection experiments and animal breeding improvement programmes motivated the majority of this work. The usage of animal model in conjunction with residual maximum likelihood (REML) techniques for mixed models has revolutionized the methods. These methods to estimate quantitative genetic parameters have recently been advocated for use in evolutionary studies of natural populations. Therefore, it is perhaps timely to discuss the development of REML methods and their application to the analysis of artificial selection experiments and breeding programmes in animals. This should give extra insight into the methods and hopefully lead to synergy between both the areas. |
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Bibliography: | href:679.pdf ark:/67375/V84-P9DHZXDL-S ArticleID:rspb20071417 istex:56F2FC05D05C10A45FED56362FC397BF772A04D8 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Review-3 |
ISSN: | 0962-8452 1471-2954 |
DOI: | 10.1098/rspb.2007.1417 |