Learning-based recognition and discrimination of floral odors

Brian H. Smith, Geraldine A. Wright, Kevin C. Daly

Research output: Chapter in Book/Report/Conference proceedingChapter

32 Scopus citations

Abstract

A foraging moth or bee visits up to a few dozen to more than a hundred flowers on a foraging trip,1 and it can make many such trips in a single day.2 During these visits it associates floral stimuli-color,3-6 shape,7,8 texture,9,10 odor11,12-with nectar and pollen rewards produced by flowers to attract pollinators.13 Based on these experiences, the honeybee’s memory is continuously updated with current information about the nature and distribution of reward associated with a species of flower.14 This memory influences ongoing decisions about staying or leaving a resource patch15 and whether to specialize on a particular species of flower.1,16.

Original languageEnglish (US)
Title of host publicationBiology of Floral Scent
PublisherCRC Press
Pages263-295
Number of pages33
ISBN (Electronic)9781420004007
ISBN (Print)0849322839, 9780849322839
StatePublished - Jan 1 2006
Externally publishedYes

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Chemistry(all)

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    Smith, B. H., Wright, G. A., & Daly, K. C. (2006). Learning-based recognition and discrimination of floral odors. In Biology of Floral Scent (pp. 263-295). CRC Press.