Please use this identifier to cite or link to this item:
|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
|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|
checked on Jul 13, 2020
checked on Sep 28, 2020
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.