A note on increasing the limit of selection through selection within families

Leo Dempfle

doi:10.1017/S0016672300015160

Summary

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

It is shown that, in a finite population, by ensuring an equal contribution of offspring from each family we achieve a higher selection limit than by using mass selection, given that the correlation between selection criterion and additive genetic value is sufficiently high. The difference between the selection limits of the two schemes increases with more intense selection. The theoretical results were verified by Monte Carlo Simulation, and the influences of several factors were investigated. It is shown that such a breeding scheme might be useful in dairy cattle.

References

REFERENCES

Bulmer, M. G. (1971). The effect of selection on genetic variability. The American Naturalist 105, 201–211.CrossRef Google Scholar

Fisher, R. A. (1918). The correlation between relatives on the supposition of Mendelian inheritance. Transactions of the Royal Society of Edinburgh 52, 399–433.CrossRef Google Scholar

Nei, M. & Murata, M. (1966). Effective population size when fertility is inherited. Genetical Research 8, 257–260.CrossRef Google Scholar PubMed

Robertson, A. (1960). A theory of limits in artificial selection. Proceedings of the Royal Society of London B 153, 234–249.Google Scholar

Robertson, A. (1961). Inbreeding in artificial selection programmes. Genetical Research 2, 189–194.CrossRef Google Scholar

Crossref Citations

This article has been cited by the following publications. This list is generated based on data provided by Crossref.

Young, S. S. Y. and Skavaril, R. V. 1976. Computer simulation of within family selection in finite populations. Theoretical and Applied Genetics, Vol. 48, Issue. 1, p. 45.

Avalos, E. and Hill, W. G. 1981. An experimental check on an index combining individual and family measurements. Animal Science, Vol. 33, Issue. 1, p. 1.

Gallego, Araceli and López-Fanjul, Carlos 1983. The number of loci affecting a quantitative trait in Drosophila melanogaster revealed by artificial selection. Genetical Research, Vol. 42, Issue. 2, p. 137.

von Butler, Ines Willeke, Henning and Pirchner, Franz 1984. Two-way within-family and mass selection for 8-week body weight in different mouse populations. Genetical Research, Vol. 43, Issue. 2, p. 191.

Nieto, B. Salgado, C. and Toro, M. A. 1986. Optimization of artificial selections response. Journal of Animal Breeding and Genetics, Vol. 103, Issue. 1-5, p. 199.

Moritz, Robin F. A. 1986. Comparison of within-Family and Mass Selection in Honeybee Populations. Journal of Apicultural Research, Vol. 25, Issue. 3, p. 146.

de Roo, G. 1987. A stochastic model to study breeding schemes in a small pig population. Agricultural Systems, Vol. 25, Issue. 1, p. 1.

De Roo, G. 1988. Studies on breeding schemes in a closed pig population. II. Mating policy. Livestock Production Science, Vol. 19, Issue. 3-4, p. 443.

Wells, W. C. and Weiser, G. C. 1989. Additive genetic variance within populations derived by single-seed descent and pod-bulk descent. Theoretical and Applied Genetics, Vol. 78, Issue. 3, p. 365.

Wray, Naomi R. and Hill, W. G. 1989. Asymptotic rates of response from index selection. Animal Science, Vol. 49, Issue. 2, p. 217.

Verrier, E. Colleau, J. J. and Foulley, J. L. 1989. Effect of mass selection on the within-family genetic variance in finite populations. Theoretical and Applied Genetics, Vol. 77, Issue. 1, p. 142.

De Vries, A.G Van Der Steen, H.A.M and De Roo, G 1990. Effects of family size in selection and testing in a closed dam line of pigs. Livestock Production Science, Vol. 24, Issue. 1, p. 47.

Dempfle, L. 1990. Advances in Statistical Methods for Genetic Improvement of Livestock. Vol. 18, Issue. , p. 98.

Verrier, E. Colleau, J. J. and Foulley, J. L. 1990. Predicting cumulated response to directional selection in finite panmictic populations. Theoretical and Applied Genetics, Vol. 79, Issue. 6, p. 833.

Dempfle, Leo 1990. Conservation, Creation, and Utilization of Genetic Variation. Journal of Dairy Science, Vol. 73, Issue. 9, p. 2593.

Verrier, E. Colleau, J.J. and Foulley, J.L. 1991. Methods for predicting response to selection in small populations under additive genetic models: a review. Livestock Production Science, Vol. 29, Issue. 2-3, p. 93.

Roehe, R. Krieter, J. and Kalm, E. 1992. Influence of different selection strategies on selection response and inbreeding using an animal model in a closed swine nucleus herd1. Journal of Animal Breeding and Genetics, Vol. 109, Issue. 1-6, p. 408.

Verrier, E. Colleau, J. J. and Foulley, J. L. 1993. Long-term effects of selection based on the animal model BLUP in a finite population. Theoretical and Applied Genetics, Vol. 87, Issue. 4, p. 446.

Kerr, R. J. Graser, H. U. Kinghorn, B. P. and Johnston, D. J. 1994. Implications of using an average relationship matrix in genetic evaluation for a population using multiple‐sire matings. Journal of Animal Breeding and Genetics, Vol. 111, Issue. 1-6, p. 110.

Kerr, R. J. Graser, H. U. Kinghorn, B. P. and Johnston, D. J. 1994. Implications of using an average relationship matrix in genetic evaluation of a population using multiple‐sire matings. Journal of Animal Breeding and Genetics, Vol. 111, Issue. 1-6, p. 199.

Download full list

Article contents

A note on increasing the limit of selection through selection within families

Summary

References

REFERENCES

Save article to Kindle

Save article to Dropbox

Save article to Google Drive

Reply to: Submit a response

Your details

You have entered the maximum number of contributors

Conflicting interests