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Journal of equine veterinary science2024; 141; 105166; doi: 10.1016/j.jevs.2024.105166

Digital video analysis reveals gait parameters that predict performance in the jumping test phase of three-day eventing.

Abstract: In international equestrian sport, visual inspections assess gait and lameness to protect the welfare of performance horses during competition. Horses competing internationally in three-day eventing must pass two mandatory inspections (pre-competition and post-cross country) before attempting the final phase: the jumping test (JT). We hypothesized that digitally quantifying objective gait parameters captured during the two mandatory inspections will identify locomotor characteristics that predict success during the jumping test. Utilizing the DeepLabCut (DLC) software package for labeling of anatomical landmarks and a custom analysis pipeline we calculated gait parameters for 194 competition horses at the trot. During the pre-competition inspection, relative trot speed was significantly associated (P = 0.0060, GLMM), and the forelimb travel trended towards significance (P =0.0800, GLMM), with achieving a clear round in the later jumping test. Post-cross country, the forelimb travel significantly predicted JT results (P = 0.0188, GLMM). As our parameters are scaled for body size, these parameters may indicate conformational characteristics for superior jumping ability and overall athletic fitness. Within each competitive effort, comparisons of the post-cross country and pre-competition observations revealed that the change in speed and duty factor were significantly different in the group that accrued jumping faults (P = 0.00376 and P = 0.02430, GLMM), perhaps capturing locomotor signs of exercise fatigue. Further work employing these approaches to better understand competition performance will encourage the use of objective measures to protect sport horse welfare, as well as provide an advantageous tool for gait evaluation in the horse.
Publication Date: 2024-08-17 PubMed ID: 39159896DOI: 10.1016/j.jevs.2024.105166Google Scholar: Lookup
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  • Journal Article

Summary

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The research identifies and quantifies specific gait parameters in horses that may predict their success in the jumping test of a three-day eventing competition by using digital video analysis.

Research Methods and Data Collection

  • The study was carried out on horses participating in international three-day equestrian events that involve pre-competition and post-cross country inspections, and concluding with a jumping test (JT).
  • The research team hypothesized that specific gait characteristics observed during the inspections could potentially predict the horses’ performance in the jumping test.
  • DeepLabCut (DLC) software was used to label anatomical landmarks on the horses and calculate their gait parameters, including relative trot speed and forelimb travel.
  • The software tracked and analyzed these locomotive characteristics of 194 competitive horses.

Key Findings

  • The researchers found that during pre-competition inspection, relative trot speed had a significant correlation to success in the jumping test. Forelimb travel also showed a trend towards signifying a successful jumping round, however, it didn’t reach the significance threshold.
  • After the cross-country phase, forelimb travel predicted the results of the jumping test more accurately and significantly.
  • Observed parameters were scaled for body size and may denote the horses’ superior jumping ability and physical fitness.
  • The study also revealed differences in the speed and duty factor of horses that made mistakes in the jumping phase, suggesting these could be signs of exercise-induced fatigue.

Implication and Conclusion

  • The findings from the study provide a novel means to objectively measure and predict performance in equestrian sports.
  • By identifying and quantifying the signs of possible exercise fatigue, the study could lead to better athlete welfare in equestrian sports.
  • The researchers suggest further work to refine these approaches and emphasize the benefit of objective evaluations in protecting horse welfare and optimising their performance in competitions.

Cite This Article

APA
Johns LT, Smythe MP, Dewberry LS, Staiger EA, Allen K, Brooks SA. (2024). Digital video analysis reveals gait parameters that predict performance in the jumping test phase of three-day eventing. J Equine Vet Sci, 141, 105166. https://doi.org/10.1016/j.jevs.2024.105166

Publication

ISSN: 0737-0806
NlmUniqueID: 8216840
Country: United States
Language: English
Volume: 141
Pages: 105166

Researcher Affiliations

Johns, L T
  • University of Florida Department of Animal Sciences, 2250 Shealy Dr, Gainesville, FL, 32608.
Smythe, M P
  • University of Florida Department of Animal Sciences, 2250 Shealy Dr, Gainesville, FL, 32608.
Dewberry, L S
  • University of Florida Department of Biomedical Sciences, 1275 Center Dr, Gainesville, FL, 32611.
Staiger, E A
  • Kingsville Department of Animal Science and Veterinary Technology, Texas A&M University, 1150 W. Engineering Ave, Kingsville, TX, 78363.
Allen, K
  • University of Florida Department of Biomedical Sciences, 1275 Center Dr, Gainesville, FL, 32611.
Brooks, S A
  • University of Florida Department of Animal Sciences, 2250 Shealy Dr, Gainesville, FL, 32608; UF Genetics Institute/ University of Florida Department of Animal Sciences, 2033 Mowry Rd, Gainesville, FL, 32610. Electronic address: samantha.brooks@ufl.edu.

MeSH Terms

  • Horses
  • Animals
  • Gait / physiology
  • Video Recording
  • Physical Conditioning, Animal / physiology
  • Sports / physiology
  • Gait Analysis / methods
  • Male

Conflict of Interest Statement

Declaration of competing interest None of the authors has any financial or personal relationships that could inappropriately influence or bias the content of the paper.