Journal of equine veterinary science · 2025
Morphometric characteristics of quarter horses in barrel racing events: impacts on performance and competitive success.
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Freitag Giovanna Polo, de Lima Luis Gustavo Freitag, Kozicki Luiz Ernandes, Souza Fernando Andrade, Nogueira Eriklis, Ribeiro Leonir Bueno
Аннотация
AIMS: This study investigated the influence of morphometric characteristics on performance in Quarter Horses competing in barrel racing.
METHODS: A total of 125 horses were assessed using 28 linear and angular body measurements derived from standardized left-side photographs captured via smartphone and analyzed with open-source software.
RESULTS: Measurements were subjected to exploratory factor analysis, extracting six principal components (forequarters, hindquarters, midsection, posterior angles, scapular traits, age and weight), which together explained 83.0 % of the morphological variance. Forequarter morphology, including withers height and limb lengths, accounted for 37.4 % of the variation in race performance. Hierarchical cluster analysis grouped horses by trial times, revealing that animals with faster times exhibited significantly larger ribcage dimensions, longer scapulae, and greater coxofemoral angles. A multivariate regression model incorporating the principal components predicted individual potential trial times with high accuracy (R² = 0.6848; P = 0.0388), and comparisons with actual times confirmed the model's validity. Age and body weight were also relevant, with younger, well-muscled horses demonstrating superior performance.
CONCLUSION: Forequarter conformation, scapular inclination, and indicators of respiratory and muscular capacity were strong predictors of barrel racing success in Quarter Horses, and image-based morphometric analysis was a valuable tool for performance prediction and selection in this study.
METHODS: A total of 125 horses were assessed using 28 linear and angular body measurements derived from standardized left-side photographs captured via smartphone and analyzed with open-source software.
RESULTS: Measurements were subjected to exploratory factor analysis, extracting six principal components (forequarters, hindquarters, midsection, posterior angles, scapular traits, age and weight), which together explained 83.0 % of the morphological variance. Forequarter morphology, including withers height and limb lengths, accounted for 37.4 % of the variation in race performance. Hierarchical cluster analysis grouped horses by trial times, revealing that animals with faster times exhibited significantly larger ribcage dimensions, longer scapulae, and greater coxofemoral angles. A multivariate regression model incorporating the principal components predicted individual potential trial times with high accuracy (R² = 0.6848; P = 0.0388), and comparisons with actual times confirmed the model's validity. Age and body weight were also relevant, with younger, well-muscled horses demonstrating superior performance.
CONCLUSION: Forequarter conformation, scapular inclination, and indicators of respiratory and muscular capacity were strong predictors of barrel racing success in Quarter Horses, and image-based morphometric analysis was a valuable tool for performance prediction and selection in this study.