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ZENODO
Dataset . 2023
License: CC 0
Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC 0
Data sources: ZENODO
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DRYAD
Dataset . 2023
License: CC 0
Data sources: Datacite
DRYAD
Dataset . 2024
License: CC 0
Data sources: Datacite
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Individual variation in feeding performance and kinematics in the canary

Authors: Andries, Tim; Müller, Wendt; Van Wassenbergh, Sam;

Individual variation in feeding performance and kinematics in the canary

Abstract

In granivorous songbirds, feeding is a complex process as seeds need to be dehusked before they can be consumed, making the feeding act a biomechanically challenging endeavour. However, most previous research has focused on how beak morphology affects feeding performance, while the influences of beak kinematics remain largely unknown. In this study, we hence investigated at the individual level how feeding performance (i.e. seed processing time and success rate) relates to both beak kinematics (i.e. beak tip speed, acceleration, frequency) and skill (i.e. seed handling tactics and cracking techniques) in the Canary (Serinus canaria). To do so, high-speed videos during feeding were recorded and subjected to automated tracking of beak tip movements. Better skills, i.e. accurate positioning of the seed for being split in half, reduced total seed handling time compared to more random positioning and crushing the husk into multiple, scattering fragments. Surprisingly, individual variation in beak speed, acceleration, or frequency generally did not relate to differences in performance. Thus, our data suggests that seed positioning precision, and hence the control of coordinated beak and tongue movement, is critical to minimize feeding durations in songbirds. Further studies are needed to explore whether this develops via a positive feedback between behaviour, learning and increased efficiency or if it relates to intrinsic differences.

Feeding performance (phase durations and success rate) and skill (cracking mode and head position) data were manually extracted from video data. Raw video data can be accessed upon request by contacting the corresponding author (Tim Andries) Kinematic data were calculated in Microsoft Excel from 3D-coordinate data obtained through use of DeepLabCut automated pose estimation software on the video data. All data were further analysed using R statistical software (version 4.2.1).

According to the guidelines of the respective journal, all data files are submitted in .csv format. We still advise opening the data in Microsoft Excel or similar programs.

Country
Belgium
Related Organizations
Keywords

feeding performance, FOS: Biological sciences, songbirds, granivory, seed preference, beak kinematics, Biology, FOS: Natural sciences, feeding skills

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average