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Genetic parameters for lean mass in long term selection with mice

Published online by Cambridge University Press:  24 November 2017

B.K. Beniwal
Affiliation:
Institute of Cell. Animal and Population Biology, Univenity of Edinburgh, West Mains Road, Edinburgh EH9 3JT
R. Thompson
Affiliation:
AFRC Institute of Animal Physiology and Genetics, Roslin, Midlothian, EH25 9PS
W.G. Hill
Affiliation:
Institute of Cell. Animal and Population Biology, Univenity of Edinburgh, West Mains Road, Edinburgh EH9 3JT
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Extract

Long term selection experiments with laboratory animals can provide an excellent opportunity to examine the assumptions underlying the predictions in animal breeding because of their short generation interval and high reproduction rate. The infinitesimal model of many genes each with small effect is often assumed for the analysis of economic traits in livestock species which have been selected by breeders for different objectives. Under such assumptions the genetic variance is expected to be reduced in a predictable way due to selection (Bulmer effect) and inbreeding in a selection experiment. The Animal Model with a complete relationship matrix back to the base population accounts for these reductions in genetic variance due to inbreeding and selection and thus provides an unbiased estimate of genetic variance in the base population (Sorensen and Kennedy, 1984). Lean mass in selected lines of mice was analysed using the individual animal model, to test if the infinitesimal model assumptions hold in the selected lines for this trait

Type
Breeding and selection
Copyright
Copyright © The British Society of Animal Production 1991

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References

Sorensen, D.A. and Kennedy, B.W. 1984. Estimation of genetic variance from selected and unselected populations. J. Anim. Sci, 59: 12131223.Google Scholar
Meyer, K. 1988. DFREML-Programs to estimate variance components for individual animal model by Restricted Maximum Likelihood(REML). User Notes. Institute of Animal Genetics, University of Edinburgh, Edinburgh.Google Scholar