Individual-based simulation of sexual selection : a quantitative genetic approach

• Main Authors: Dijk, D. Van., Sloot, Peter M. A., Tay, Joc Cing., Schut, M. C.
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/84317; http://hdl.handle.net/10220/10115
• Institution: Nanyang Technological University

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.