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Generalized Linear Models and Applications to Animal Breeding

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Advances in Statistical Methods for Genetic Improvement of Livestock

Part of the book series: Advanced Series in Agricultural Sciences ((AGRICULTURAL,volume 18))

Abstract

Generalized linear models (GLM), a flexible extension of linear models, are described. Specific examples of their application to animal breeding problems are given. These include the estimation of variance components, for normal and non-normal data, the estimation of heritability by offspring-parent regression for binary traits, and the estimation of gene frequencies. Unresolved problems are highlighted. Animal breeding studies that have used GLM methods are reviewed.

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Author information

Authors and Affiliations

  1. Edinburgh Research Station, Institute of Animal Physiology and Genetics Research, Edinburgh, Scotland

    R. Thompson

Authors
  1. R. Thompson
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Editor information

Editors and Affiliations

  1. Department of Animal Sciences 126 Animal Sciences Laboratory, University of Illinois, 1207 West Gregory Drive, Urbana, Illinois, 61801, USA

    Daniel Gianola

  2. Animal Genetics and Breeding Unit (AGBU), University of New England and NSW Agriculture and Fisheries, Armidale, New South Wales, 2351, Australia

    Keith Hammond

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© 1990 Springer-Verlag Berlin Heidelberg

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Thompson, R. (1990). Generalized Linear Models and Applications to Animal Breeding. In: Gianola, D., Hammond, K. (eds) Advances in Statistical Methods for Genetic Improvement of Livestock. Advanced Series in Agricultural Sciences, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74487-7_14

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  • DOI: https://doi.org/10.1007/978-3-642-74487-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-74489-1

  • Online ISBN: 978-3-642-74487-7

  • eBook Packages: Springer Book Archive

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