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Index selection for both current and future generation gains

Published online by Cambridge University Press:  02 September 2010

J. W. James
J. W. James
Affiliation:
School of Wool and Pastoral Sciences, University of New South Wales, Kensington, New South Wales, Australia 2033
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Abstract

When economic returns from current and future generation gains are comparable in magnitude, selection decisions should take account of both sources of gain. A combined selection index is devised to maximize the present value of discounted returns from all sources. The index depends on genetic and phenotypic variances and covari-ances, population structure, discount rate and the relation of annual returns to individual traits. The combined index can be regarded as the sum of separate indices maximizing returns from each source. The method is illustrated with a simple example using wool weight and body weight in sheep.

Information

Type
Research Article
Information
Animal Production , Volume 26 , Issue 2 , April 1978 , pp. 111 - 118
Copyright
Copyright © British Society of Animal Science 1978

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References

REFERENCES

Hazel, L. N. 1943. The genetic basis for constructing selection indexes. Genetics, Princeton 28: 476–490.CrossRefGoogle ScholarPubMed
Henderson, C. R. 1963. Selection index and expected genetic advance. In Statistical Genetics and Plant Breeding (ed. Hanson, W. D. and Robinson, H. F.), pp. 141–163. Publ. No. 982. National Academy of Sciences—National Research Council, Washington DC.Google Scholar
Hill, W. G. 1974. Prediction and evaluation of response to selection with overlapping generations. Anim. Prod. 18: 117–139.Google Scholar
McGuirk, B. J. 1976. Estimating genetic progress in the Merino. Proc. Aust. Soc. Anim. Prod. 11: 13–16.Google Scholar
Smith, H. F. 1936. A discriminant function for plant selection. Ann. Eugen. 7: 240–250.CrossRefGoogle Scholar
Young, S. S. Y. and Tallis, G. M. 1961. Performance index for lifetime production. J. Anim. Sci. 20: 506–509.CrossRefGoogle Scholar