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The use of product traits such as lean growth rate as selection criteria in animal breeding

Published online by Cambridge University Press:  02 September 2010

G. Simm
Affiliation:
AFRC Institute of Animal Physiology and Genetics Research, Edinburgh Research Station, West Mains Road, Edinburgh EH9 3JG
C. Smith
Affiliation:
AFRC Institute of Animal Physiology and Genetics Research, Edinburgh Research Station, West Mains Road, Edinburgh EH9 3JG
R. Thompson
Affiliation:
AFRC Institute of Animal Physiology and Genetics Research, Edinburgh Research Station, West Mains Road, Edinburgh EH9 3JG
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Abstract

In meat animals there is some interest in lean growth rate or lean food conversion efficiency as selection criteria. These traits may be estimated as the product of growth rate (or efficiency), killing-out proportion and carcass lean proportion. When used as selection criteria these product traits do not require estimates of genetic parameters or economic values for component traits. Hence, they may be more stable, and of longer-term use than classical economic selection indices. The purpose of this study is to compare expected responses to selection on product traits with expected responses from selection, either on individual component traits, or on an economic selection index. Formulae were derived for predicting the phenotypic and genetic correlations between a product and one component, and for predicting the heritability of the product trait; these depend on the coefficients of variation and heritabilities of components, and on the genetic correlations among them. When the coefficient of variation of one component is much higher than that of the other, (× 3), this component will tend to dominate the product trait. In cattle and sheep, and to a lesser extent in pigs, killing-out proportion and leanness are usually less variable than growth rate or efficiency. Thus, in many cases, there is little loss in response in lean growth (or lean efficiency) from selection solely on growth rate (or efficiency) regardless of leanness. Although product traits do not require derivation of economic values, their component traits do have implied economic values. Often more appropriate weightings will be given to components by using an economic selection index, even when economic values and genetic parameters are not estimated precisely.

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Papers
Copyright
Copyright © British Society of Animal Science 1987

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References

REFERENCES

Allen, D. M. and Steane, D. E. 1985. Beef selection indices. British Cattle Breeders Club Digest No. 40, pp. 6370.Google Scholar
Andersen, B. B., Lykke, T., Kousgaard, K., Buchter, L. and Pedersen, J. W. 1977. Growth, feed utilisation, carcass quality and meat quality in Danish dual purpose cattle. Beretning fra Statens Husdyrbrugsforsøg, No. 453.Google Scholar
Colquhoun, D. 1971. Lectures on Biostatistics. Clarendon Press, Oxford.Google Scholar
Cunningham, E. P. 1970. Selind: a Fortran computer program for genetic selection indexes. An Foras Taluntais, Dunsinea, Castleknock, Co. Dublin, Eire. (Mimeograph).Google Scholar
Evans, D. G. and Kempster, A. J. 1982. A multivariate study of pig carcass growth and composition. 1. Production and grading characteristics. Journal of Agricultural Science, Cambridge 99: 499508.CrossRefGoogle Scholar
Fowler, V. R. 1980. Problems of describing growth, development and efficiency in pigs. Rowett Research Institute Annual Report 36: 119129.Google Scholar
Fowler, V. R., Bichard, M. and Pease, A. 1976. Objectives in pig breeding. Animal Production 23: 365387.Google Scholar
Gunsett, F. C. 1984. Linear index selectio n to improve traits defined as ratios. Journal of Animal Science 59: 11851193.CrossRefGoogle Scholar
Hazel, L. N. 1943. The genetic basis for constructing selection indexes. Genetics, Princeton 28: 476490.CrossRefGoogle ScholarPubMed
James, J. W. 1982. Construction, uses, and problems of multitrait selection indices. Proceedings of the 2nd World Congress on Genetics Applied to Animal Production, Madrid, Vol. V. pp. 130139. Editorial Garsi.Google Scholar
Kendall, M. G. and Stuart, A. 1963. The Advanced Theory of Statistics. Vol. I. Distribution Theory. 2nd ed. Griffin, London.Google Scholar
Kirton, A. H., Dalton, D. C. and Ackerley, L. R. 1974. Performance of sheep on New Zealand hill country. II Growth and composition of wethers of five breeds at three ages. New Zealand Journal of Agricultural Research 17: 283293.CrossRefGoogle Scholar
Koch, R. M., Cundiff, L. V. and Gregory, K. E. 1982. Heritabilities and genetic environmental and phenotypic correlations of carcass traits in a population of diverse biological types and their implications in selection programmes. Journal of Animal Science 55: 13191329.CrossRefGoogle Scholar
Latham, S. D., Moody, W. G. and Kemp, J. D. 1966. Techniques for estimating lamb carcass composition. Journal of Animal Science 25: 492496.CrossRefGoogle Scholar
More O'ferrall, G. J. and Timon, V. M. 1977a. A comparison of eight sire breeds for lamb production. 1. Lamb growth and carcass measurements. Irish Journal of Agricultural Research 16: 267275.Google Scholar
More O'ferrall, G. J. and Timon, V. M. 1977b. A comparison of eight sire breeds for lamb production. 2. Lamb carcass composition. Irish Journal of Agricultural Research 16: 277284.Google Scholar
Olson, L. W., Dickerson, G. E., Crouse, J. D. and Glimp, H. A. 1976. Selection criteria for intensive market lamb production: carcass and growth traits. Journal of Animal Science 43: 90101.CrossRefGoogle Scholar
Owen, J. B. 1976. Sheep Production. Baillière Tindall, London.Google Scholar
Pearson, K. 1897. Mathematical contributions to the theory of evolution — on a form of spurious correlation which may arise when indices are used in the measurement of organs. Proceedings of the Royal Society 60: 489498.Google Scholar
Pedersen, O. K. 1979. Testing of breeding animals for meat production and meat quality in Denmark. In Muscle Function and Porcine Meat Quality (ed. Wegger, I., Hyldegaard-Jensen, J., Moustgaard, J. and Andersen, J. E.), Proceedings NJF Symposium, Denmark. Acta Agriculturae Scandinavica Suppl. 21, pp. 122135.Google Scholar
Renand, G., Gaillard, J. and Robelin, J. 1982. Relationships between growth potential and feed efficiency of Charolais bulls in performance testing stations. Proceedings of 2nd World Congress on Genetics Applied to Livestock Production, Madrid, Vol. VII, pp. 430438.Google Scholar
Simm, G. 1983. Selection of beef cattle for efficiency of lean growth. Ph.D. Thesis, University of Edinburgh.Google Scholar
Simm, G. and Dingwall, W. S. 1987. A selection index for lean meat production in sheep. Animal Production 44: 476 (Abstr.).Google Scholar
Simm, G., Smith, C. and Prescott, J. H. D. 1985. Environmental effects on bull performance test results. Animal Production 41: 177185.Google Scholar
Smith, C. 1967. A note on the improvement of a trait by selecting on its components. Animal Production 9: 127130.Google Scholar
Smith, C. 1983. Effects of changes in economic weights on the efficiency of index selection. Journal of Animal Science 56: 10571064.CrossRefGoogle Scholar
Sutherland, T. M. 1965. The correlation between feed efficiency and rate of gain, a ratio and its denominator. Biometrics 21: 739749.CrossRefGoogle Scholar
Swiger, L. A., Gregory, K. E., Sumption, L. J., Breidenstein, B. C. and Arthaud, V. H. 1965. Selection indexes for efficiency of beef production. Journal of Animal Science 24: 418424.CrossRefGoogle Scholar
Turner, H. N. 1959. Ratios as criteria for selection in animal or plant breeding, with particular reference to efficiency of food conversion in sheep. Australian Journal of Agricultural Research 10: 565580.CrossRefGoogle Scholar
Turner, H. N. and Young, S. S. Y. 1969. Quantitative Genetics in Sheep Breeding. Macmillan, South Melbourne, Australia.Google Scholar
Vandepitte, W. M. and Hazel, L. N. 1977. The effect of errors in the economic weights on the accuracy of selection indexes. Annales de Genetique el de Selection Animate 9: 87103.Google ScholarPubMed
Webb, A. J. and King, J. W. B. 1983. Selection for improved food conversion ratio on ad libitum group feeding in pigs. Animal Production 37: 375385.Google Scholar
Wolf, B. T. 1982. Genetic variation in lamb growth and carcass composition. Ph.D. Thesis, University of Edinburgh.Google Scholar
Wolf, B. T., Smith, C., King, J. W. B. and Nicholson, D. 1981. Genetic parameters of growth and carcass composition in crossbred lambs. Animal Production 32: 17.Google Scholar
Wolf, B. T., Smith, C. and Sales, D. I. 1980. Growth and carcass composition in the crossbred progeny of six terminal sire breeds of sheep. Animal Production 31: 307313.Google Scholar