Selection limits and strategies

C. Clark Cockerham, Peter M. Burrows

Proc Natl Acad Sci USA, Vol. 77, No. 1, pp. 546-549, 1980


Abstract

Strategies are analyzed for maximizing the ultimate limit to truncation selection for a quantitative trait in finite populations. By using a formulation of Kimura and Crow [Kimura, M. & Crow, J. F. (1978) Proc. NatL Acad. Sci. USA 75, 6168-6171], it is shown that the limit is maximized by truncating at the mode with the highest ordinate of the phenotypic distri- bution. This implies 50% selection for the normal or any uni- modal symmetric distribution and, for skewed distributions, selection of more than one-half if desired phenotypes are in the long tail of the distribution, less than one-half if in the short tail. For dioecious populations, the optimal procedure requires, in addition, equal numbers recorded and selected of each sex. For monoecious populations the limit can be improved by using the best individuals mated to the next-best individuals. Limitations of the results are discussed.

Keywords

truncation selectionselection intensitynon-normal distributions