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Multi-trait selection indexes for sustainable UK hill sheep production

Published online by Cambridge University Press:  18 August 2016

J. Conington*
Affiliation:
Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
S.C. Bishop
Affiliation:
Roslin Institute, Roslin, Midlothian EH25 9PS, UK
B. Grundy
Affiliation:
Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
A. Waterhouse
Affiliation:
Scottish Agricultural College, Auchincruive, Ayr KA6 5HW, UK
G. Simm
Affiliation:
Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
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Abstract

Three selection indexes for the UK hill sheep sector are derived to suit the extremes of hill production systems. These are: (i) intensive, where all surplus lambs not required for breeding are finished for slaughter, (ii) extensive, where all surplus ‘store’ lambs are sold to other farmers for finishing, and (iii) semi-intensive, which is intermediate between the two extremes, i.e. farms finish some lambs for slaughter and sell others as store lambs. Parameters for 12 breeding goal and index traits were estimated using a total of 3962 lamb records and 5944 ewe lambing records from Scottish Blackface sheep on two Scottish Agricultural College experimental hill farms. The breeding goal comprised carcass, maternal and survival traits. The evaluation of these indexes showed that improvements in maternal traits are possible, along with more modest improvements in carcass quality traits. Responses to selection are expected to be lower for the extensive farm in general, compared with the intensive farm. Evaluations of alternative indexes show that an index using measurements of fat and muscle on ewes rather than on lambs may be more cost-effective to implement in practice, compared with the original index, although this change results in a higher (i.e. undesirable) gain in mature size. Sensitivity analyses showed that in general, the indexes are robust to changes in economic values and to changes in heritability estimates.

Type
Breeding and genetics
Copyright
Copyright © British Society of Animal Science 2001

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References

Atkins, K. D. 1980. Selection for skin folds and fertility. Proceedings of the Australian Society of Animal Production 13: 174.Google Scholar
Brotherstone, S., Veerkamp, R. F. and Hill, W. G. 1997. Genetic parameters for a simple predictor of the lifespan of Holstein-Friesian dairy cattle and its relationship to production. Animal Science 65: 3137.Google Scholar
Conington, J. 1999. The genetic improvement of carcass and maternal traits in Scottish Blackface sheep. Ph.D. thesis, University of Edinburgh.Google Scholar
Conington, J., Bishop, S. C., Waterhouse, A. and Simm, G. 1995. A genetic analysis of early growth and ultrasonic measurements in hill sheep. Animal Science 61: 8593.CrossRefGoogle Scholar
Conington, J., Bishop, S. C., Waterhouse, A. and Simm, G. 1998. A comparison of growth and carcass traits in Scottish Blackface lambs sired by genetically lean or fat rams. Animal Science 67: 299309.CrossRefGoogle Scholar
Conington, J., Bishop, S. C., Waterhouse, A. and Simm, G. 2000. A bio-economic approach to estimating economic values for UK hill sheep. Proceedings of the British Society of Animal Science, 2000, p. 39 (abstr. ).Google Scholar
Cunningham, E. P. 1969. Animal breeding theory. Internordic licentiat course notes in quantitative genetics, Norway.Google Scholar
Donnelly, F. B. 1982. A practical attempt to breed for better lamb survival. Proceedings of the Australian Society of Animal Production 14: 30.Google Scholar
Groenveld, E. 1996. REML VCE a multivariate multi model restricted maximum likelihood (co)variance estimation package version 3·2 users’s guide. Federal Research Centre of Agriculture, Mariensee, Germany.Google Scholar
Haughey, K. G. 1983. Selective breeding for rearing ability as an aid to improving lamb survival. Australian Veterinary Journal 60: 361363.Google Scholar
Haughey, K. G. and George, J. M. 1982. Lifetime rearing performance of Merino ewes and its relationship with pelvic size and early rearing status. Proceedings of the Australian Society of Animal Production 14: 26.Google Scholar
Hill, W. G. 1974. Prediction and evaluation of responses to selection with overlapping generations. Animal Production 18: 117140.Google Scholar
Kempster, A. J., Cook, G. L. and Grantley-Smith, M. 1986. National estimates of body composition of British cattle, sheep and pigs with special reference to trends in fatness: a review. Meat Science 17: 107138.CrossRefGoogle ScholarPubMed
Lawes Agricultural Trust. 1983. GENSTAT, a general statistical program. Numerical Algorithms Group Ltd, Oxford.Google Scholar
Lewis, R. M., Simm, G., Dingwall, W. S. and Murphy, S. V. 1996. Selection for lean growth in terminal sire sheep to produce leaner crossbred progeny. Animal Science 63: 133142.CrossRefGoogle Scholar
Matos, C. A. P., Thomas, D. L., Young, L. D. and Gianola, D. 2000. Genetic analyses of lamb survival in Rambouillet and Finnsheep flocks by linear and threshold models. Animal Science 71: 227234.CrossRefGoogle Scholar
Newman, S. and Ponzoni, R. W. 1994. Experience with economic weights. Proceedings of the fifth world congress on genetics applied to livestock production, Guelph, vol. 18, pp. 217221.Google Scholar
Piper, L. R., Hanrahan, J. P., Evans, R. and Bindon, B. M. 1982. Genetic variation in individual and maternal components of lamb survival in Merinos. Proceedings of the Australian Society of Animal Production 14: 26.Google Scholar
Simm, G. and Dingwall, W. 1989. Selection indices for lean meat production in sheep. Livestock Production Science 21: 223233.CrossRefGoogle Scholar
Veerkamp, R. F., Hill, W. G., Stott, A. W., Brotherstone, S. and Simm, G. 1995. Selection for longevity and yield in dairy cows using transmitting abilities for type and yield. Animal Science 61: 189 -197.CrossRefGoogle Scholar