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Mutation and conflicts between artificial and natural selection for quantitative traits

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Mutation and Evolution

Part of the book series: Contemporary Issues in Genetics and Evolution ((CIGE,volume 7))

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Abstract

There is substantial new variation for quantitative traits generated by mutation that can be utilised by artificial selection. With long-term selection, however, response is often attenuated and a selection limit sometimes reached, even though genetic variation is frequently still present in these lines. In this paper, the theoretical bases of long-term response and variability of populations that come from mutational variance are reviewed, and the relation between them is related to the strength and mode of the natural selection, whether due to pleiotropic effects of mutant genes or stabilising selection. Simple formulae to predict the consequence of relaxed or reversed selection are derived. Results from long-term selection experiments in mice in this laboratory are described and related to the theoretical analyses with the aim of reconciling the evidence for substantial standing variation with the low rate of response.

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Author information

Authors and Affiliations

  1. Institute of Cell, Animal and Population Biology, University of Edinburgh, West Mains Road, Edinburgh, EH9 3JT, Scotland

    William G. Hill

  2. Department of Animal Science and Production, Sokoine University of Agriculture, PO Box 3004, Morogoro, Tanzania

    Said H. Mbaga

Authors
  1. William G. Hill
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  2. Said H. Mbaga
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Editor information

Editors and Affiliations

  1. Bowling Green State University, Bowling Green, Ohio, USA

    Ronny C. Woodruff

  2. University of Oklahoma, Norman, Oklahoma, USA

    James N. Thompson Jr.

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© 1998 Springer Science+Business Media Dordrecht

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Hill, W.G., Mbaga, S.H. (1998). Mutation and conflicts between artificial and natural selection for quantitative traits. In: Woodruff, R.C., Thompson, J.N. (eds) Mutation and Evolution. Contemporary Issues in Genetics and Evolution, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5210-5_15

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  • DOI: https://doi.org/10.1007/978-94-011-5210-5_15

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6193-3

  • Online ISBN: 978-94-011-5210-5

  • eBook Packages: Springer Book Archive

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