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Identifying QTL for meat quality and carcass composition traits in Blackface sheep

Published online by Cambridge University Press:  21 November 2017

E. Karamichou*
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, U.K.
G.R. Nute
Affiliation:
Dept. of Clinical Veterinary Science, Div. of Farm Animal Science, University of Bristol, Langford, Bristol BS40 5DU
R.I. Richardson
Affiliation:
Dept. of Clinical Veterinary Science, Div. of Farm Animal Science, University of Bristol, Langford, Bristol BS40 5DU
K. McLean
Affiliation:
Animal Biology Division, SAC, Kings Buildings, Edinburgh EH9 3JG
S.C. Bishop
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, U.K.
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Extract

The development of genetic markers and their application to farm animals has progressed rapidly, opening new prospects for identifying chromosomal regions that control quantitative traits (quantitative trait loci or QTL). However, there is less activity in QTL identification in sheep than in other livestock species. Surprisingly few QTL have been published for traits of direct relevance to sheep meat production, apart from studies of individual major genes such as the callipyge locus (Freking et al, 2002). This suggests there may be more QTL effects still to be found in sheep. Hence, this study aims to identify QTL for carcass composition and meat quality traits. This will provide a basis for targeting genomic regions to verify QTL in independent sheep populations.

Type
Theatre Presentations
Copyright
Copyright © The British Society of Animal Science 2005

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References

Freking, B. A., Murphy, S. K., Wylie, A. A., Rhodes, S. J., Keele, J. W., Leymaster, K. A., Jirtle, R. L. & Smith, T. P. L. 2002. Identification of the single base change causing the callipyge muscle hypertrophy phenotype, the only known example of polar overdominance in mammals. Genome Research 42: 14961506.Google Scholar
Knott, S. A., Elsen, J. M. & Haley, C. S. 1996. Methods for multiple-marker mapping of quantitative trait loci in half-sib populations. Theoretical and Applied Genetics 42: 7180.Google Scholar