Journal article
Optimizing selection for function-valued traits
Journal of mathematical biology, Vol.55(5), pp.861-882
11/2007
Handle:
https://hdl.handle.net/2376/116053
PMID: 17671785
Abstract
We consider a function-valued trait z(t) whose pre-selection distribution is Gaussian, and a fitness function W that models optimizing selection, subject to certain natural assumptions. We show that the post-selection distribution of z(t) is also Gaussian, compute the selection differential, and derive an equation that expresses the selection gradient in terms of the parameters of W and of the pre-selection distribution. We make no assumptions on the nature of the ‘time–parameter t.
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Details
- Title
- Optimizing selection for function-valued traits
- Creators
- Jay Beder - Department of Mathematical Sciences University of Wisconsin Milwaukee WI 53201 USARichard Gomulkiewicz - School of Biological Sciences and Department of Mathematics Washington State University P. O. Box 644236 Pullman WA 99164 USA
- Publication Details
- Journal of mathematical biology, Vol.55(5), pp.861-882
- Academic Unit
- Biological Sciences, School of
- Publisher
- Springer-Verlag; Berlin/Heidelberg
- Identifiers
- 99900548069701842
- Language
- English
- Resource Type
- Journal article