IDEAS home Printed from https://ideas.repec.org/a/oup/beheco/v22y2011i2p291-302.html
   My bibliography  Save this article

Reproductive tradeoffs of learning in a butterfly

Author

Listed:
  • Emilie C. Snell-Rood
  • Goggy Davidowitz
  • Daniel R. Papaj

Abstract

The evolution of learning has long been hypothesized to be limited by fitness trade-offs such as delays in reproduction. We explored the relationship between host learning and reproduction in the cabbage white butterfly, Pieris rapae. The cabbage white female is innately biased to search for common green hosts but can learn to search for rare red hosts. Host learning was shown previously to vary among full-sibling families and to incur costs in terms of host search efficiency and brain size. In the present study, we show that butterflies from full-sib families with relatively better learning performance on red hosts tend to emerge as adults with relatively fewer and less-developed eggs. We also used methoprene, a juvenile hormone mimic, to advance reproduction in female cabbage whites. We found that methoprene-treated butterflies improved host-finding ability less with experience, relative to controls, providing independent evidence of a link between learning and timing of reproduction. Finally, we show that the learning experience itself is associated with additional decreases in lifetime fecundity. These results support a range of theoretical and comparative studies highlighting the importance of fitness tradeoffs in the evolution of learning and cognition. Copyright 2011, Oxford University Press.

Suggested Citation

  • Emilie C. Snell-Rood & Goggy Davidowitz & Daniel R. Papaj, 2011. "Reproductive tradeoffs of learning in a butterfly," Behavioral Ecology, International Society for Behavioral Ecology, vol. 22(2), pages 291-302.
  • Handle: RePEc:oup:beheco:v:22:y:2011:i:2:p:291-302
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/beheco/arq169
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michal Arbilly & Daniel B. Weissman & Marcus W. Feldman & Uri Grodzinski, 2014. "An arms race between producers and scroungers can drive the evolution of social cognition," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(3), pages 487-495.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:beheco:v:22:y:2011:i:2:p:291-302. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/beheco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.