Individual-based simulation of sexual selection: A quantitative genetic approach
| Autor: | Joc Cing Tay, D. van Dijk, Peter M. A. Sloot, M. C. Schut |
|---|---|
| Přispěvatelé: | Computational Science Lab (IVI, FNWI), Artificial intelligence, Network Institute, Computational Intelligence, School of Computer Engineering |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
0106 biological sciences
0303 health sciences SDG 5 - Gender Equality Computer science Population genetics Context (language use) Quantitative genetics 010603 evolutionary biology 01 natural sciences Preference 03 medical and health sciences Individual based Sexual selection Mate choice Agent-based modeling Econometrics General Earth and Planetary Sciences Individual-based modeling 030304 developmental biology General Environmental Science |
| Zdroj: | Dijk, D V, Sloot, P M A, Tay, J C & Schut, M C 2010, ' Individual-based simulation of sexual selection: A quantitative genetic approach ', Procedia Computer Science, vol. 1, pp. 1997-2005 . https://doi.org/10.1016/j.procs.2010.04.224 ICCS Procedia Computer Science Procedia Computer Science, 1(1), 2003-2011. Elsevier Procedia Computer Science, 1, 1997-2005. Elsevier BV |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2010.04.224 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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