Copyright © Brooks Equine Genetics
Research Posters
Brooks' Equine Genetics
Download pre-trained models here:
Funding:
This research was supported in part by the intramural research program of the U.S. Department of Agriculture, National Institute of Food and Agriculture:
•Agriculture Genome to Phenome Initiative [USDA-NIFA award 2021-70412-35233]
•Hatch Project [7001788]
•Multistate Project [S1094]
As well as by grants from
•the USA Equestrian Trust [AWD10966, 2021] and the UF Informatics Institute.
The findings and conclusions in this presentation have not been formally disseminated by the U. S. Department of Agriculture and Should not be construed to represent any agency determination or policy.
DeepLabCut-Display
Pipeline objectives:
Tool development for locomotion phenotypes in livestock
- Johns, L., M. Smythe, S. Dewberry, E. Staiger, K. Allen, and S. Brooks. 2023. “33 Assessing the effect of fatigue on stadium jumping penalty scores in elite three-day event horses utilizing artificial intelligence.” Presented June 6th, Dallas Texas, Equine Science Society Symposium. Abstract published: Journal of Equine Veterinary Science 124:104335
- Rahael, H., M. Smythe, S. Dewberry, A. Oberdorfer, K. Allen, and S. Brooks. 2023. “44 Detecting conformational differences in Fragile Foal Syndrome carriers utilizing artificial intelligence.” Presented June 6th, Dallas Texas, Equine Science Society Symposium. Abstract published: Journal of Equine Veterinary Science 124:104346.
- Smythe, M., S. Dewberry, E. Staiger, K. Allen, and S. Brooks. 2023. “45 Quantifying gait quality changes in fragile foal syndrome carriers using artificial intelligence.” Presented June 6th, Dallas Texas, Equine Science Society Symposium. Abstract published: Journal of Equine Veterinary Science 124:104347.
- Smythe, M., Dewberry, S., Staiger, E.A., Allen, K., Brooks, S., (2023) Performance analysis of Fragile Foal Syndrome carriers in the sport horse population Journal of Heredity [In Prep]
- Smythe, M., Dewberry, S., Staiger, E.A., Allen, K., Brooks, S., (2023) Digital Video Analysis Reveals Changes in Gait Among Three-Day Event Horses During Competition Journal of Equine Veterinary Science [In Review]
- Shirey, J., Smythe, M., Dewberry, S. Allen, K., Jain, E., and Brooks, S. A. (2023) Technical Note: DeepLabCut-Display: open-source desktop application for visualizing and analyzing two-dimensional loc
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Publications:
Deep On The Farm
Lameness is a significant welfare and economic concern for livestock. Current lameness detection methods lack repeatability and accuracy. DeepLabCut offers promise for video labeling but needs a livestock applications framework. The goal of project is to develop accessible tools to enable AI automated locomotor behavioral assessment in livestock.