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Predicting genetic gain when rates of inbreeding are constrained to pre-defined values

Published online by Cambridge University Press:  20 November 2017

S. Avendaño
Affiliation:
Scottish Agricultural College, West Mains Road, Edinburgh, EH9 3JG, Scotland, UK
J.A. Woolliams
Affiliation:
Roslin Institute, Roslin, Midlothian, EH25 9PS, Scotland, UK
B. Villanueva
Affiliation:
Scottish Agricultural College, West Mains Road, Edinburgh, EH9 3JG, Scotland, UK
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Extract

Dynamic selection algorithms using quadratic indices to optimise the contributions of selection candidates for maximising rates of genetic gain (ΔG) while constraining the rate of inbreeding (ΔF) in the long-term to pre-defined values, are available (Grundy et al, 1998). Avendaño et al (2001 a,b) applied these optimal selection algorithms on the UK Meatlinc (sheep) and Aberdeen Angus (beef cattle) pedigree breeds and found substantial expected increases (of at least 17%) in the average index score at the observed ΔF. Although these algorithms constitute powerful operational tools for breeding schemes, the framework for deterministically predicting ΔG under optimal selection with restricted ΔF is not yet available. This study presents a novel approach to this problem.

Type
ISAE/BSAS
Copyright
Copyright © The British Society of Animal Science 2003

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References

Avendaño, S., Villanueva, B., and Woolliams, J.A. 2001a. Optimisation of selection decisions in the UK Meatlinc breed of sheep. Proceedings of the British Society of Animal Science, 2002. p 194.Google Scholar
Avendaño, S., Villanueva, B., and Woolliams, J.A. 2001b.. Expected increases in genetic merit in the UK Aberdeen Angus beef cattle breed from applying optimised selection. Proceedings of the British Society of Animal Science, 2002. p 54.Google Scholar
Grundy, B., Villanueva, B., and Woolliams, J.A. 1998. Dynamic selection procedures for constrained inbreeding and their consequences for pedigree development. Genetical Research. Cambridge 72: 159168.Google Scholar
Wray, N.R. and Hill, W.G. 1989. Asymptotic rates of response from index selection. Animal Production 49: 217227.Google Scholar