Document Detail

Are relationships between pollen-ovule ratio and pollen and seed size explained by sex allocation?
MedLine Citation:
PMID:  21967439     Owner:  NLM     Status:  In-Data-Review    
Positive correlations between pollen-ovule ratio and seed size, and negative correlations between pollen-ovule ratio and pollen grain size have been noted frequently in a wide variety of angiosperm taxa. These relationships are commonly explained as a consequence of sex allocation on the basis of a simple model proposed by Charnov. Indeed, the theoretical expectation from the model has been the basis for interest in the empirical pattern. However, the predicted relationship is a necessary consequence of the mathematics of the model, which therefore has little explanatory power, even though its predictions are consistent with empirical results. The evolution of pollen-ovule ratios is likely to depend on selective factors affecting mating system, pollen presentation and dispensing, patterns of pollen receipt, pollen tube competition, female mate choice through embryo abortion, as well as genetic covariances among pollen, ovule, and seed size and other reproductive traits. To the extent the empirical correlations involving pollen-ovule ratios are interesting, they will need explanation in terms of a suite of selective factors. They are not explained simply by sex allocation trade-offs.
Martin Burd
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Publication Detail:
Type:  Journal Article     Date:  2011-05-25
Journal Detail:
Title:  Evolution; international journal of organic evolution     Volume:  65     ISSN:  1558-5646     ISO Abbreviation:  Evolution     Publication Date:  2011 Oct 
Date Detail:
Created Date:  2011-10-04     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0373224     Medline TA:  Evolution     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3002-5     Citation Subset:  IM    
Copyright Information:
© 2011 The Author(s). Evolution© 2011 The Society for the Study of Evolution.
School of Biological Science, Monash University, Melbourne, Victoria 3800, Australia E-mail:
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