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Computer simulation of reciprocal recurrent selection with overdominant gene action

Published online by Cambridge University Press:  02 September 2010

J. A. Arthur  and
Hans Abplanalp
J. A. Arthur
Affiliation:
Department of Poultry Husbandry, University of California, Davis, California 95616, U.S.A.
Hans Abplanalp
Affiliation:
Department of Poultry Husbandry, University of California, Davis, California 95616, U.S.A.
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Summary

Previous studies have shown that reciprocal recurrent selection (RRS) would be ineffective in the early cycles of selection if over-dominant loci were at equilibrium gene frequencies in both selected populations. It is shown in the present study that response to RRS may be reduced by this unstable equilibrium even when gene frequencies are as much as 30 % removed from the theoretical equilibrium frequency. Reducing one population to a bottleneck of two individuals for one generation or more before initiating RRS (RRSB) was very effective in overcoming the unstable equilibrium. RRS with recurrent inbreeding, then outcrossing in both populations each cycle of selection (RRSC) was not effective in overcoming the unstable equilibrium, but yielded greater response per cycle after selection response began. The effectiveness of RRSC was inversely proportional to the heritability of the trait. Use of these modifications to increase the effectiveness of RRS in poultry breeding is discussed.

Type
Research Article
Information
Animal Production , Volume 12 , Issue 4 , November 1970 , pp. 639 - 649
Copyright
Copyright © British Society of Animal Science 1970

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References

REFERENCES

Arthur, J. A. and Abplanalp, Hans. 1964. Studies using computer simulation of reciprocal recurrent selection. Genetics 50: 233 (Abstr.).Google Scholar
Comstock, R. E. and Robinson, H. F. 1948. The components of genetic variance in populations of biparental progenies and their use in estimating the average degree of dominance. Biometrics 41: 254–266.CrossRefGoogle Scholar
Comstock, R. E., Robinson, H. F. and Harvey, P. H. 1949. A breeding procedure designed to make maximum use of both general and specific combining ability. Agron. J. 41: 360–367.CrossRefGoogle Scholar
Cress, C. E. 1965. Theoretical and simulated selection studies based on progeny performance with special reference to reciprocal recurrent selection. Ph.D. dissertation, Iowa State University, la.Google Scholar
Dickerson, G. E. 1952. Inbred lines for heterosis tests? In Heterosis (ed. Gowen, J. W.), pp. 330–351. Iowa State College Press, Ames, la.Google Scholar
Griffing, B. 1963. Comparisons of potentials for general combining ability selection methods utilizing one or two random mating populations. Aust. J. Biol. Sci. 16: 838–862.CrossRefGoogle Scholar
Hill, W. G. 1963. Selection with cyclic inbreeding in Drosophila melanogaster. Master's Thesis, University of California, Davis.Google Scholar
Hill, W. G. 1970. Theory of limits to selection with line crossing. Mathematical Applications in Genetics (ed. Kojima, K.), in press.Google Scholar
Hull, F. H. 1945. Recurrent selection for specific combining ability in corn. J. Am. Soc. Agron. 37: 134–145.CrossRefGoogle Scholar
Ibm Manual C20–8011, 1959. Reference manual for random number generation and testing.Google Scholar
Kojima, Ken-Ichi and Kelleher, T. M. 1963. A comparison of purebred and crossbred selection schemes with two populations of Drosophilap seudoobscura. Genetics 48: 57–72.CrossRefGoogle Scholar