Individual-based simulation of sexual selection : a quantitative genetic approach
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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/84317 http://hdl.handle.net/10220/10115 |
| _version_ | 1811679715949281280 |
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| author | Dijk, D. Van. Sloot, Peter M. A. Tay, Joc Cing. Schut, M. C. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Dijk, D. Van. Sloot, Peter M. A. Tay, Joc Cing. Schut, M. C. |
| author_sort | Dijk, D. Van. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:13:34Z |
| format | Journal Article |
| id | ntu-10356/84317 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:13:34Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/843172020-05-28T07:17:58Z Individual-based simulation of sexual selection : a quantitative genetic approach Dijk, D. Van. Sloot, Peter M. A. Tay, Joc Cing. Schut, M. C. School of Computer Engineering 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. 2013-06-10T04:41:14Z 2019-12-06T15:42:40Z 2013-06-10T04:41:14Z 2019-12-06T15:42:40Z 2012 2012 Journal Article 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 10.1016/j.procs.2010.04.224 en Procedia computer science © 2012 Published by Elsevier B.V. |
| spellingShingle | Dijk, D. Van. Sloot, Peter M. A. Tay, Joc Cing. Schut, M. C. Individual-based simulation of sexual selection : a quantitative genetic approach |
| title | Individual-based simulation of sexual selection : a quantitative genetic approach |
| title_full | Individual-based simulation of sexual selection : a quantitative genetic approach |
| title_fullStr | Individual-based simulation of sexual selection : a quantitative genetic approach |
| title_full_unstemmed | Individual-based simulation of sexual selection : a quantitative genetic approach |
| title_short | Individual-based simulation of sexual selection : a quantitative genetic approach |
| title_sort | individual based simulation of sexual selection a quantitative genetic approach |
| url | https://hdl.handle.net/10356/84317 http://hdl.handle.net/10220/10115 |
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