Biological Journal of the Linnean Society · 2020 · 11 citations · 44 references
AgricultureBiologyEntomologyInsect BehaviorInsect EcologyPollination EcologyFloral RewardsFloral TraitsPlant-pollinator InteractionsPollination BiologyPollinator BehaviorPollinator Sensory EcologyArtificial PollinationCorolla TraitsFloral Reward PresentationPlant-pollinator Foraging InteractionsPollinator AttractionPollinator BehaviourPollinator Foraging EcologyPollinator Foraging Response To Rewards
Abstract Learning plays an important role in the location and utilization of nectar sources for pollinators. In this work we focus on the plant-pollinator interaction between the butterfly Agraulis vanillae (Nymphalidae) and two Glandularia plant species (Verbenaceae) that grow in sympatry. Bioassays using arrays of artificial flowers (red vs. lilac-purple) showed that naïve A. vanillae butterflies do not have innate colour preferences for any of the tested colours. Trained butterflies were able to learn to associate both floral colours with the presence of nectar rewards. Wild A. vanillae butterflies visited the red flowers of Glandularia peruviana much more frequently than the lilac-purple flowers of Glandularia venturii. Standing nectar crop measurements showed that G. peruviana flowers offered three times more sucrose than the flowers of G. venturii. Analyses confirmed that corolla colour of G. peruviana (red flowers) and G. venturii (lilac-purple flowers) were discriminable in the butterfly’s colour space. These findings may indicate flexibility in A. vanillae preferences due to a learned association between red coloration and higher nectar rewards.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
In search of the visual pigment template
V. I. Govardovskii, Nanna Fyhrquist, Tom Reuter et al. · Visual Neuroscience · 2000 · 1.1K citations · Full text