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Journal of equine veterinary science2020; 94; 103250; doi: 10.1016/j.jevs.2020.103250

The Impact of Horse Age, Sex, and Number of Riders on Horse Performance in British Eventing Horse Trials.

Abstract: Limited research has been undertaken to determine the impact of horse age, sex, and number of riders on horse performance in British Eventing (BE) horse trials. Improved understanding of this can aid professionals in planning a competition horse's career. To investigate the impact of age, sex, and number of riders on the peak performance of horses at each of the main levels of BE competitions. The best score from each horse competing in BE horse trials in the years 2008-2018 was recorded, and principal component and hierarchical cluster analysis was performed. Basic data analysis was used to identify variables associated with particular better-performing clusters of horses. The interplay of the combinatory variables was then used to map out the trends in career trajectory for horses competing at each level of competition in the best-performing and worst-performing clusters. The peak performance of mares was worse than geldings and stallions at all levels. At Novice to Advanced, stallions did not perform as consistently with multiple riders as geldings. The age at which the best-performing groups peaked was similar for mares and geldings in all classes, although stallions peaked at an older age than mares and geldings at Novice and Intermediate level. All horses were a minimum of 4-years-old at the time of competition, as per BE rules.
Publication Date: 2020-09-14 PubMed ID: 33077097DOI: 10.1016/j.jevs.2020.103250Google Scholar: Lookup
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  • Journal Article

Summary

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The research paper investigates the influence of horse age, sex, and the number of riders on horse performance in British Eventing horse trials. The study found that the performance of mares was generally lower than geldings and stallions across all levels. The study also observed that stallions were less consistent in performance with multiple riders from Novice to Advanced levels.

Methodology

  • The research data comprised the best score from each horse participating in the BE horse trials throughout 2008-2018.
  • Researchers used principal component analysis (PCA) and hierarchical cluster analysis to identify patterns and clusters among the horses.
  • Basic data analysis techniques were used to identify the variables associated with the high-performing clusters of horses.
  • The combined variables were then used to map out the possible career trajectories for horses in the best-performing and worst-performing clusters.

Findings

  • The study found that mares underperformed when compared to geldings and stallions across all levels of competition.
  • Stallions, from Novice to Advanced levels, did not maintain consistency when ridden by multiple riders, unlike geldings.
  • Regarding peak performance age, mares and geldings peaked at a similar age across all classes. On the other hand, stallions peaked at an older age at the Novice and Intermediate levels as compared to mares and geldings.

Regulations

  • All horses included in the competition were at least 4-years-old, adhering to the regulations set by the British Eventing organization.

The implications of this study can be significant for professionals in planning a competition horse’s career. The findings provide insights into how factors such as horse age, sex, and the number of riders affect horse performance, which can aid in decision-making concerning training, competition level selection, and rider assignment.

Cite This Article

APA
Hanousek K, Salavati M, Dunkel B. (2020). The Impact of Horse Age, Sex, and Number of Riders on Horse Performance in British Eventing Horse Trials. J Equine Vet Sci, 94, 103250. https://doi.org/10.1016/j.jevs.2020.103250

Publication

ISSN: 0737-0806
NlmUniqueID: 8216840
Country: United States
Language: English
Volume: 94
Pages: 103250
PII: S0737-0806(20)30341-5

Researcher Affiliations

Hanousek, Katherine
  • Dept of Clinical Science and Services and Research Support Office, The Royal Veterinary College, North Mymms, Herts, UK. Electronic address: khanousek5@rvc.ac.uk.
Salavati, Mazdak
  • Genetics and Genomics Division, The Roslin Institute, Royal (Dick) School of Veterinary Studies, Easter Bush campus, Midlothian, UK.
Dunkel, Bettina
  • Dept of Clinical Science and Services and Research Support Office, The Royal Veterinary College, North Mymms, Herts, UK.

MeSH Terms

  • Animals
  • Female
  • Horses
  • Male
  • Sports

Citations

This article has been cited 5 times.
  1. Rochais C, Stomp M, Sébilleau M, Houdebine M, Henry S, Hausberger M. Horses' attentional characteristics differ according to the type of work. PLoS One 2022;17(7):e0269974.
    doi: 10.1371/journal.pone.0269974pubmed: 35877616google scholar: lookup
  2. Lewczuk D, Borowska A, Andruszkiewicz J, Bagnicka E. Comparative Analysis of the Stallion Field Performance Test at Different Training Stages and Horse Age. Animals (Basel) 2025 Nov 13;15(22).
    doi: 10.3390/ani15223289pubmed: 41301997google scholar: lookup
  3. Schumacher A, Merle R, Stöckle S, Gehlen H. Player-Reported Perceptions of Lameness Risks and Contributing Factors for Polo Horses: Results from a Survey. Animals (Basel) 2025 Oct 29;15(21).
    doi: 10.3390/ani15213136pubmed: 41227466google scholar: lookup
  4. Li Y, Lan Y. Characteristics and dynamic changes of gut microbiota in Mongolian horses and Guizhou horses. Front Microbiol 2025;16:1582821.
    doi: 10.3389/fmicb.2025.1582821pubmed: 40303476google scholar: lookup
  5. Best R, Williams JM, Pearce J. The Physiological Requirements of and Nutritional Recommendations for Equestrian Riders. Nutrients 2023 Nov 30;15(23).
    doi: 10.3390/nu15234977pubmed: 38068833google scholar: lookup