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Impact of nonadditive genetic effects in prediction of breeding values for dairy fertility traits

Published online by Cambridge University Press:  20 November 2017

E. Wall*
Affiliation:
Sustainable Livestock Systems, SAC, Bush Estate, Penicuik, Midlothian, EH26 0PH, UK
S. Brotherstone
Affiliation:
Sustainable Livestock Systems, SAC, Bush Estate, Penicuik, Midlothian, EH26 0PH, UK
J. A. Woolliams
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian, EH25 9PS, UK.
J. F. Kearney
Affiliation:
Sustainable Livestock Systems, SAC, Bush Estate, Penicuik, Midlothian, EH26 0PH, UK
M. P. Coffey
Affiliation:
Sustainable Livestock Systems, SAC, Bush Estate, Penicuik, Midlothian, EH26 0PH, UK
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Extract

Inbreeding depression leads to the reduction of the mean phenotypic value. There has been a steady increase in inbreeding (F) in the UK since the introduction of reproductive techniques (AI, MOET). There has been an increase in the percent Holstein (%H) in the UK population due to the influx of North American Holstein genes. Crossing these Holsteins to British Friesians can result in the favourable effect of heterosis (het), whereby crossbred progeny out-perform the mid-parent mean for that trait. Of the heterosis in the F1 population, a proportion is lost due to recombination (rec) between parental line genes and is a measure of the epistatic interaction of genes. The purpose of this study was to examine the impact of nonadditive genetic effects (F, het, rec, %H) on the estimation of dairy cow fertility breeding values in the UK.

Type
Theatre Presentations
Copyright
Copyright © The British Society of Animal Science 2004

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References

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Kearney, J. F., Wall, E. and Villanueva, B., 2004. Inbreeding trends and application of optimised selection in the UK Holstein population Proceedings of the British Society of Animal Science, 2004, p 32. Google Scholar
Wall, E., Brotherstone, S., Woolliams, J. A., Banos, G. and Coffey, M. P., 2003. Genetic evaluation of fertility using direct and correlated traits. J. Dairy Sci. 86: 40934102.CrossRefGoogle ScholarPubMed