Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84317
Title: Individual-based simulation of sexual selection : a quantitative genetic approach
Authors: Dijk, D. Van.
Sloot, Peter M. A.
Tay, Joc Cing.
Schut, M. C.
Issue Date: 2012
Source: Dijk, D. V., Sloot, P. M. A., Tay, J. C., & Schut, M. C. (2012). Individual-based simulation of sexual selection : a quantitative genetic approach. Procedia Computer Science, 1(1), 2003-2011.
Series/Report no.: Procedia computer science
Abstract: Sexual selection has been mathematically modeled using quantitative genetics as well as population genetics. Two-locus simulation models have been used to study the evolution of male display and female preference. We present an individual-based simulation model of sexual selection in a quantitative genetic context. We show that under certain conditions Fisherian self-reinforcing sexual selection takes effect, predicted by Lande’s analytic model of female choice. We also show that the dynamics involved in the co-evolution of male display and female preference is much more complex than mathematics would predict. We therefore argue that the study of sexual selection through individual-based simulation could give new and more realistic insight into a world dominated by overly simplified equations.
URI: https://hdl.handle.net/10356/84317
http://hdl.handle.net/10220/10115
DOI: 10.1016/j.procs.2010.04.224
Rights: © 2012 Published by Elsevier B.V.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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