Development of a fixed list of descriptors for the qualitative behavioral assessment of thoroughbred horses in the racing environment.
Abstract: Horse racing is a major sport practiced worldwide. The environment to which horses are exposed during race meetings can influence their behavior. However, to the best of our knowledge, a method for assessing a horse's response to its surroundings during the pre- and post-race periods has not yet been reported. This study aimed to create a standard list of descriptors for use in a qualitative behavioral assessment (QBA) focused on assessing the emotional expressivity of horses before and after racing events. Unassigned: Seventy pre- or post-race 30-second videos of horses were randomly selected from our database of 700 videos. A panel of 8 experienced equine sports medicine specialist veterinarians watched a 60 min presentation on QBA. The panel then watched all videos randomly, simultaneously, individually, continuously, and without any verbal interaction, describing the descriptors related to the emotional expressivity of the horse after each video using a method known as free-choice profiling (FCP). Unassigned: The initial selection of descriptors was based on those indicated by more than one evaluator in the same video, or descriptors with more than 20 occurrences. The second selection was performed based on the content validity index (CVR) to select the descriptors retained in the previous step. Another panel of six veterinarians scored each of the descriptors retained for content validity on a visual scale. Interobserver reliability was estimated using the intraclass correlation coefficient (ICC) and its respective 95% confidence intervals (CI). A natural language processing (NLP) algorithm was used to analyze the behavior (positive or negative polarity) of the descriptors based on the lexicoPT package of R software. Unassigned: NLP analysis considered the descriptors "agitated," "troubled," "restless" and "irritated" to have a negative polarity, while "focused," "relaxed" and "peaceful" had a positive polarity. In the principal component analysis (PCA), descriptors in a negative state were associated with each other and inversely associated with descriptors in a positive state. We conclude with a fixed list of descriptors to be used in a QBA to assess emotional and welfare expressivity in racehorses' pre- and post-race environments.
Copyright © 2023 Jaramillo, Oliveira, Silva, Trindade and Baccarin.
Publication Date: 2023-08-10 PubMed ID: 37680385PubMed Central: PMC10482396DOI: 10.3389/fvets.2023.1189846Google Scholar: Lookup
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Summary
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The study presents the development of a standardized list of terms for assessing the emotional behavior of racehorses before and after races.
Study Objectives and Methodology
- The primary goal was to create a standardized list of descriptors for assessing the emotional expressivity of racehorses during pre- and post-race periods.
- A total of 70 videos of horses either pre- or post-race from a larger database were randomly chosen.
- An evaluation panel of 8 experienced vets in equine sports medicine were introduced to Qualitative Behavioral Assessment (QBA) via a 60 min presentation.
- The panel observed the videos individually and sequentially without any discussion, describing the emotional behavior of the horses using a method termed free-choice profiling (FCP).
Selection and Validation of Descriptors
- The initial selection of descriptors was primarily based on those repeatedly suggested by more than one panel member, or those recurring more than 20 times.
- The second selection used the content validity index (CVR) to retain the descriptors from the first step.
- A different panel of six veterinarians then evaluated the remaining descriptors for content validity using a visual scale.
- The researchers estimated the Interobserver reliability with the intraclass correlation coefficient (ICC) and determined its 95% confidence intervals (CI).
- A natural language processing (NLP) algorithm analyzed the behavioral (either positive or negative) context of the descriptors.
Results and Conclusion
- The NLP analysis determined descriptors “agitated,” “troubled,” “restless” and “irritated” as having a negative context, while “focused,” “relaxed” and “peaceful” were considered positive.
- In the principal component analysis (PCA), negative descriptors related to each other and showed a reverse association with positive descriptors.
- The study concluded with a pre-determined list of descriptors for QBA to evaluate emotional and welfare expressivity in racehorses’ pre and post-race settings.
Cite This Article
APA
Jaramillo FM, Oliveira TM, Silva PEA, Trindade PHE, Baccarin RYA.
(2023).
Development of a fixed list of descriptors for the qualitative behavioral assessment of thoroughbred horses in the racing environment.
Front Vet Sci, 10, 1189846.
https://doi.org/10.3389/fvets.2023.1189846 Publication
Researcher Affiliations
- Department of Internal Medicine, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
- Equine Centre, Melbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, VIC, Australia.
- Department of Internal Medicine, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
- Department of Internal Medicine, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
- Graduate Program in Anesthesiology, Medical School, São Paulo State University (Unesp), Botucatu, Brazil.
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University (NCSU), Raleigh, NC, United States.
- Department of Internal Medicine, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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