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Veterinary journal (London, England : 1997)2011; 193(1); 87-91; doi: 10.1016/j.tvjl.2011.11.017

Comparison of pressure distribution under a conventional saddle and a treeless saddle at sitting trot.

Abstract: It can be a challenge to find a conventional saddle that is a good fit for both horse and rider. An increasing number of riders are purchasing treeless saddles because they are thought to fit a wider range of equine back shapes, but there is only limited research to support this theory. The objective of this study was to compare the total force and pressure distribution patterns on the horse's back with conventional and treeless saddles. The experimental hypotheses were that the conventional saddle would distribute the force over a larger area with lower mean and maximal pressures than the treeless saddle. Eight horses were ridden by a single rider at sitting trot with conventional and treeless saddles. An electronic pressure mat measured total force, area of saddle contact, maximal pressure and area with mean pressure >11 kPa for 10 strides with each saddle. Univariate ANOVA (P11 kPa. These findings suggested that the saddle tree was effective in distributing the weight of the saddle and rider over a larger area and in avoiding localized areas of force concentration.
Publication Date: 2011-12-16 PubMed ID: 22178359DOI: 10.1016/j.tvjl.2011.11.017Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The study investigates how conventional saddles and treeless saddles distribute pressure on a horse’s back, finding that conventional saddles disperse weight more evenly, potentially reducing stress on the horse.

Objective and Hypotheses of the Study

  • The objective of this research was to examine how different types of saddles – conventional and treeless – impact the force distribution and pressure patterns on a horse’s back. This is particularly significant given the popularity of treeless saddles based on the notion that they fit a wider variety of horse back shapes.
  • The researchers formulated the experimental hypothesis that a conventional saddle would distribute force over a larger area and produce lower mean and maximal pressures than a treeless saddle.

Experiment Set Up and Methodology

  • The study involved a single rider riding eight different horses at a sitting trot. Both types of saddles were tested on each horse.
  • To measure the force and pressure distribution, an electronic pressure mat was used. Specific measures recorded included total force, saddle contact area, maximal pressure, and areas with mean pressure exceeding 11 kPa (kilopascals). Each saddle was tested for ten strides to ensure adequate data was gathered.
  • To discern any differences between the saddles, the researchers utilized Univariate ANOVA, a statistical analysis tool. Any results with a P-value of less than 0.05 were considered significant.

Findings and Conclusion

  • The results demonstrated that compared to the treeless saddle, the conventional saddle was more successful in spreading the weight of the rider over a larger area. It also resulted in lower mean and maximal pressure and fewer sensors hitting the 11 kPa pressure threshold.
  • These results suggest that the saddle tree (a crucial part of a conventional saddle’s structure) is effective in distributing the combined saddle and rider weight over a larger area. Additionally, the use of a conventional saddle also helps avoid the creation of localized areas of high force concentration.
  • The findings of this study challenge the popular belief that treeless saddles fit more comfortably on a variety of horse backs. It implies that conventional saddles might be a better option in terms of ensuring evenly distributed pressure and preventing possible discomfort or long-term damage to the horse’s back.

Cite This Article

APA
Belock B, Kaiser LJ, Lavagnino M, Clayton HM. (2011). Comparison of pressure distribution under a conventional saddle and a treeless saddle at sitting trot. Vet J, 193(1), 87-91. https://doi.org/10.1016/j.tvjl.2011.11.017

Publication

ISSN: 1532-2971
NlmUniqueID: 9706281
Country: England
Language: English
Volume: 193
Issue: 1
Pages: 87-91

Researcher Affiliations

Belock, B
  • Department of Large Animal Clinical Sciences, D202 Veterinary Medical Centre, Michigan State University, East Lansing, MI 48824, USA.
Kaiser, L J
    Lavagnino, M
      Clayton, H M

        MeSH Terms

        • Animals
        • Back / physiology
        • Biomechanical Phenomena
        • Gait
        • Horses / physiology
        • Humans
        • Physical Conditioning, Animal / instrumentation
        • Physical Conditioning, Animal / methods
        • Physical Conditioning, Animal / physiology
        • Pressure
        • Random Allocation
        • Weight-Bearing

        Citations

        This article has been cited 4 times.
        1. MacKechnie-Guire R, Fisher M, Mathie H, Kuczynska K, Fairfax V, Fisher D, Pfau T. A Systematic Approach to Comparing Thermal Activity of the Thoracic Region and Saddle Pressure Distribution beneath the Saddle in a Group of Non-Lame Sports Horses. Animals (Basel) 2021 Apr 13;11(4).
          doi: 10.3390/ani11041105pubmed: 33924326google scholar: lookup
        2. Masko M, Borowska M, Domino M, Jasinski T, Zdrojkowski L, Gajewski Z. A novel approach to thermographic images analysis of equine thoracolumbar region: the effect of effort and rider's body weight on structural image complexity. BMC Vet Res 2021 Mar 2;17(1):99.
          doi: 10.1186/s12917-021-02803-2pubmed: 33653346google scholar: lookup
        3. MacKechnie-Guire R, MacKechnie-Guire E, Fairfax V, Fisher D, Fisher M, Pfau T. The Effect of Tree Width on Thoracolumbar and Limb Kinematics, Saddle Pressure Distribution, and Thoracolumbar Dimensions in Sports Horses in Trot and Canter. Animals (Basel) 2019 Oct 21;9(10).
          doi: 10.3390/ani9100842pubmed: 31640213google scholar: lookup
        4. Soroko M, Zaborski D, Dudek K, Yarnell K, Górniak W, Vardasca R. Evaluation of thermal pattern distributions in racehorse saddles using infrared thermography. PLoS One 2019;14(8):e0221622.
          doi: 10.1371/journal.pone.0221622pubmed: 31449556google scholar: lookup