Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Sex ratio theory offers excellent opportunities to examine the extent to which individuals adaptively adjust their behavior in response to local conditions. Hamilton's theory of local mate competition, which predicts female-biased sex ratios in structured populations, has been extended in numerous directions to predict individual behavior in response to factors such as relative fecundity, time of oviposition, and relatedness between cofoundresses and between mates. These extended models assume that foundresses use different sources of information, and they have generally been untested or have only been tested in the laboratory. We use microsatellite markers to describe the wild oviposition behavior of individual foundresses in natural populations of the parasitoid wasp Nasonia vitripennis, and we use the data collected to test these various models. The offspring sex ratio produced by a foundress on a particular host reflected the number of eggs that were laid on that host relative to the number of eggs that were laid on that host by other foundresses. In contrast, the offspring sex ratio was not directly influenced by other potentially important factors, such as the number of foundresses laying eggs on that patch, relative fecundity at the patch level, or relatedness to either a mate or other foundresses on the patch.

Original publication




Journal article


Am Nat

Publication Date





393 - 404


Adaptation, Physiological, Animals, Competitive Behavior, Female, Male, Microsatellite Repeats, Models, Biological, Oviposition, Sex Ratio, Wasps