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Testing sex ratio optimality in southern African pollinating fig wasps
Dissertation (MSc (Genetics))--University of Pretoria, 2016.
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| Format: | Thesis |
| Language: | English |
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2026
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| _version_ | 1867613719888920576 |
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| access_status_str | Open Access |
| author2 | Pienaar, Jason |
| author_browse | Pienaar, Jason |
| author_facet | Pienaar, Jason |
| collection | Thesis |
| description | Dissertation (MSc (Genetics))--University of Pretoria, 2016. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/110190 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:37.576Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/110190 Testing sex ratio optimality in southern African pollinating fig wasps Pienaar, Jason u04419049@tuks.co.za Chung, Yi-Po Nico Sex ratio Monte carlo simulation Evolutionary game theory Local mate competition Optimality modelling Dissertation (MSc (Genetics))--University of Pretoria, 2016. We developed a game-theoretic model using Monte Carlo methods to predict the evolutionary stable strategy (ESS) for offspring sex allocation for simultaneously ovipositing foundresses in haplodiploid species under local mate competition (LMC). Although it was developed specifically for the fig-fig wasp interaction, the model can be generalised to other systems. The model simulates passive sex ratio adjustment via constrained oviposition of offspring eggs. The proposed mechanism results from simultaneous initial oviposition of male eggs followed by constrained oviposition of female eggs. The model incorporates a high degree of ecological detail and accounts for variable foundress number, patch size, egg load and offspring mortality distributions. We tested how these variables affect the ESS. Model predictions are in qualitative agreement with current sex ratio theory. We also developed a set of parameter estimation methods for modelling species data. The model in conjunction with the parameter estimation methods explains observed species data. This is the first model to make quantitative sex ratio predictions for single foundress patches Genetics MSc (Genetics) 2026-05-15T17:26:36Z 2026-05-15T17:26:36Z 16/07/11 2016 Dissertation http://hdl.handle.net/2263/110190 en application/pdf |
| spellingShingle | Sex ratio Monte carlo simulation Evolutionary game theory Local mate competition Optimality modelling Testing sex ratio optimality in southern African pollinating fig wasps |
| title | Testing sex ratio optimality in southern African pollinating fig wasps |
| title_full | Testing sex ratio optimality in southern African pollinating fig wasps |
| title_fullStr | Testing sex ratio optimality in southern African pollinating fig wasps |
| title_full_unstemmed | Testing sex ratio optimality in southern African pollinating fig wasps |
| title_short | Testing sex ratio optimality in southern African pollinating fig wasps |
| title_sort | testing sex ratio optimality in southern african pollinating fig wasps |
| topic | Sex ratio Monte carlo simulation Evolutionary game theory Local mate competition Optimality modelling |
| url | http://hdl.handle.net/2263/110190 |