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Related Experiment Video

Updated: Jul 27, 2025

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
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Automated pose estimation reveals walking characteristics associated with lameness in broilers.

István Fodor1, Malou van der Sluis1, Marc Jacobs2

  • 1Animal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the Netherlands.

Poultry Science
|June 11, 2023
PubMed
Summary

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Pose estimation using deep learning can objectively assess broiler chicken gait. This technology identifies specific walking characteristics linked to suboptimal mobility, aiding selective breeding for improved broiler welfare and performance.

Area of Science:

  • Animal Science
  • Biotechnology
  • Agricultural Engineering

Background:

  • Selective breeding for improved broiler walking ability requires large-scale, objective data.
  • Current expert-based gait scoring is time-consuming and subjective.
  • Precision phenotyping tools offer a high-throughput alternative for assessing broiler locomotion.

Purpose of the Study:

  • To investigate the link between specific walking characteristics derived from pose estimation and broiler gait.
  • To evaluate the potential of deep learning-based pose estimation for objective gait phenotyping in broilers.

Main Methods:

  • Filmed male broilers walking in a corridor at 14, 21, and 33 days of age.
  • Utilized a DeepLabCut model to track 8 key body points for pose estimation.
Keywords:
DeepLabCutbroilercomputer visiongait scoreprecision phenotyping

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  • Quantified 7 pose features during double support and maximum leg lift phases of walking.
  • Gait scored by experts (0-5 scale) and broilers classified as good or suboptimal gait.

    • Main Results:

    • Broilers with suboptimal gait exhibited sharper hock joint lateral angles and lower hock-feet distance ratios during double support.
    • Suboptimal gait was associated with lower relative step height during the stepping phase.
    • Step height and hock-feet distance ratio showed the most significant deviations in broilers with suboptimal gait.

    Conclusions:

    • Pose estimation is a viable tool for assessing broiler walking characteristics throughout their productive life.
    • This technology can objectively phenotype and monitor broiler gait, supporting selective breeding programs.
    • Insights gained can enhance understanding of lameness and improve gait prediction models in broilers.