Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Individual-based simulation of sexual selection : a quantitative genetic approach
المؤلفون: Dijk, D. Van., Sloot, Peter M. A., Tay, Joc Cing., Schut, M. C.
المساهمون: School of Computer Engineering
سنة النشر: 2013
المجموعة: DR-NTU (Digital Repository at Nanyang Technological University, Singapore)
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: Procedia computer science; 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.; https://hdl.handle.net/10356/84317; http://hdl.handle.net/10220/10115
DOI: 10.1016/j.procs.2010.04.224
الاتاحة: https://hdl.handle.net/10356/84317
http://hdl.handle.net/10220/10115
https://doi.org/10.1016/j.procs.2010.04.224
Rights: © 2012 Published by Elsevier B.V.
رقم الانضمام: edsbas.36D5ED6E
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.procs.2010.04.224