Analyze Diet
Equine veterinary journal2026; doi: 10.1002/evj.70213

Similar locomotor patterns across Quarter Horse disciplines inform lameness assessment.

Abstract: Lineage-based selection is central to the Quarter Horse industry and is often justified by the assumption that morphology determines locomotor function. However, objective evidence linking static conformation to discipline-specific locomotor behaviour under standardised conditions remains limited. Objective: To investigate whether morphological differences among Quarter Horse disciplines are associated with distinct locomotor patterns or whether locomotor function converges across disciplines despite morphological variation. Methods: Cross-sectional. Methods: Barrel racing, reining, and ranch horses underwent detailed morphometric assessment and inertial measurement unit (IMU)-based gait analysis at the walk and trot under standardised straight-line conditions. Multivariate approaches (principal component analysis, UMAP, k-means, and Gaussian mixture models) were used to evaluate relationships between morphology and biomechanical outputs, including stride timing, limb excursion, and axial kinematics. Results: Morphometric differences varied across disciplines, and PCA revealed three components explaining 90.6% of the variance. Biomechanical variables overlapped across groups, and no model consistently identified discipline-specific locomotor patterns. Greater within-discipline variance than between-discipline centroid distances in biomechanical PCA space supported functional convergence (Ranch Sorting: 12.48 vs. 5.64; Barrel Racing: 10.41 vs. 4.77; Reining: 7.71 vs. 2.28). Axial range of motion and vertical acceleration variables were similar across groups. Conclusions: Under standardised walk and trot conditions, Quarter Horses across disciplines exhibit broadly similar locomotor patterns despite measurable morphological differences. Static morphology alone does not uniquely predict locomotor function, and neuromuscular control and training exposure likely play a central role in shaping movement patterns. Objective biomechanical assessment provides a complementary framework for evaluating equine athletic function alongside traditional lineage-based selection. Discipline-specific biomechanical expectations should not replace normal movement patterns in clinical gait assessment, and individual baseline evaluation remains essential for interpreting objective locomotion data in Quarter Horses, particularly to distinguish lameness from physiological sources of asymmetry.
Publication Date: 2026-06-12 PubMed ID: 42283256DOI: 10.1002/evj.70213Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

Overview

  • This study examined whether different Quarter Horse disciplines—barrel racing, reining, and ranch work—show unique locomotor patterns related to their distinct morphologies.
  • The results showed that despite measurable morphological differences, the locomotor patterns across these disciplines are broadly similar, indicating that morphology alone does not determine movement function.

Background and Objective

  • Quarter Horses are commonly selected through lineage with the assumption that their body shape (morphology) influences their movement capabilities and performance in specific disciplines.
  • Previous evidence linking static morphological traits (such as body measurements) to discipline-specific locomotor behavior under standard conditions has been limited and inconclusive.
  • The study aimed to determine if morphological differences between Quarter Horse disciplines correspond to distinct locomotor patterns or if locomotion converges despite morphological variation.

Methods

  • Participants: Horses from three disciplines—barrel racing, reining, and ranch horses—were evaluated.
  • Morphometric Assessment: Detailed body measurements were taken to quantify morphology.
  • Gait Analysis: Inertial measurement units (IMUs) were used to objectively measure gait characteristics including stride timing, limb excursion, and axial (spinal) kinematics during walking and trotting on a standardized straight line.
  • Data Analysis: Multivariate statistical methods including principal component analysis (PCA), UMAP (a dimensionality reduction technique), k-means clustering, and Gaussian mixture models were employed to explore relationships between morphology and locomotor biomechanics.

Key Findings

  • Morphological Variation:
    • Significant differences were observed in body shape measurements among the three disciplines.
    • PCA of morphological data revealed three principal components explaining over 90% of variation, reflecting clear morphological distinctions.
  • Locomotor Patterns:
    • Biomechanical variables such as stride timing, limb movement, and spinal motion showed substantial overlap across disciplines.
    • No machine learning or clustering model consistently differentiated locomotor patterns specific to one discipline.
    • Within-discipline variation in gait biomechanical characteristics was greater than the variation between the average patterns of different disciplines, suggesting functional convergence.
    • Axial range of motion and vertical acceleration metrics were similar regardless of discipline.

Conclusions

  • Locomotor function in Quarter Horses at walk and trot on a straight line is broadly similar across disciplines despite measurable morphological differences.
  • Static morphology alone does not uniquely predict locomotor function, emphasizing the important role of neuromuscular control and training in shaping movement patterns.
  • Objective biomechanical assessment complements traditional lineage-based selection methods and provides valuable insights into athletic function.
  • In clinical gait evaluations and lameness assessments:
    • Discipline-specific biomechanical expectations should not replace the recognition of normal movement patterns.
    • Individual baseline data are critical to accurately interpret gait and distinguish pathological asymmetry (lameness) from natural variation.

Implications

  • This research challenges the assumption that body conformation alone dictates functional movement differences among Quarter Horse disciplines.
  • It highlights the importance of considering neuromuscular dynamics and training history when assessing gait and lameness.
  • The findings support the use of standardized objective gait analysis as a tool to better understand equine locomotion across different disciplines.
  • For veterinarians and trainers, this means relying on individualized assessments rather than solely on breed discipline expectations to evaluate movement and detect lameness.

Cite This Article

APA
de Siqueira RF, Brito LA, de Figueiredo IM, Dos Santos ACR, Dos Anjos LS. (2026). Similar locomotor patterns across Quarter Horse disciplines inform lameness assessment. Equine Vet J. https://doi.org/10.1002/evj.70213

Publication

ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English

Researcher Affiliations

de Siqueira, Renata Farinelli
  • Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias da Universidade Estadual Paulista (FCAV-UNESP), Jaboticabal, Brazil.
Brito, Lavínia Andressa
  • Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias da Universidade Estadual Paulista (FCAV-UNESP), Jaboticabal, Brazil.
de Figueiredo, Isabela Marques
  • Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias da Universidade Estadual Paulista (FCAV-UNESP), Jaboticabal, Brazil.
Dos Santos, Ana Clara Rocha
  • Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias da Universidade Estadual Paulista (FCAV-UNESP), Jaboticabal, Brazil.
Dos Anjos, Larissa Santos
  • Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias da Universidade Estadual Paulista (FCAV-UNESP), Jaboticabal, Brazil.

Grant Funding

  • 2024/13083-6 / Fundação de Amparo à Pesquisa do Estado de São Paulo

References

This article includes 16 references
  1. Petersen JL, Mickelson JR, Cothran EG, Andersson LS, Axelsson J, Bailey E. Genetic diversity in the modern horse, as illustrated by genome‐wide SNP data.. PLoS One 2013;8(1):e54997.
  2. Signer‐Hasler H, Welle M, Kummer S, Neuditschko M, Koch C, Rieder S. Genome‐wide association analyses reveal structural and functional differences among performance subgroups of American Quarter Horses.. Anim Genet 2022;53(3):347–360.
    doi: 10.1111/age.13195google scholar: lookup
  3. Meira CT, Curi RA, Silva JAI IV, Corrêa MJM, Oliveira HN, Mota MDS. Morphological and genomic differences between cutting and racing lines of Quarter Horses.. J Equine Vet Sci 2013;33(4):244–249.
  4. Roth IT, Schielke B, Rensing M, Bernau M. Comparison of American Quarter Horses competing in Western pleasure, hunter under saddle, and reining using linear traits.. Animals 2021;11(10):2861.
    doi: 10.3390/ani11102861google scholar: lookup
  5. Zupan Šemrov M, Přibylová L, Gobbo E. Task‐specific morphological and kinematic differences in Lipizzan horses.. Front Vet Sci 2025;12:1569067.
  6. Guyo M, Tarekegn M, Alemayehu A, Alemu M. Evaluations of morphometric traits and body conformation indices of horse ecotypes reared in the highlands of Bale eco‐region.. Ethiop Vet Med Sci 2024;10(3):701–713.
    doi: 10.1002/vms3.70114google scholar: lookup
  7. Saitua A, Pérez‐Umbria J, Garcia‐Álamo K, Munhoz A. Dynamic mobilization exercises improve activity and stride parameters measured with accelerometry in sedentary horses.. Animals (Basel) 2025;15(20):2943.
    doi: 10.3390/ani15202943google scholar: lookup
  8. Serra Bragança FM, Broomé S, Rhodin M, Björnsdóttir S, Gunnarsson V, Voskamp JP. Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning.. Sci Rep 2020;10:17785.
  9. Krueger K, Schwarz S, Marr I, Farmer K. Laterality in horse training: psychological and physical balance and coordination and strength rather than straightness.. Animals 2022;12(8):1042.
    doi: 10.3390/ani12081042google scholar: lookup
  10. Leclercq A, Lundblad J, Persson‐Sjodin E, Ask K, Zetterberg E, Hernlund E. Perceived sidedness and correlation to vertical movement asymmetries in young Warmblood horses.. PLoS One 2023;18:e0288043.
  11. Rhodin M, Persson‐Sjödin E, Hernández E, Pfau T, Andersen Ph, Egenvall A. Vertical movement asymmetries in horses perceived as sound and their relationship to performance.. Equine Vet J 2017;49(5):577–583.
    doi: 10.1111/evj.12674google scholar: lookup
  12. Wathan J, Proops L, Grounds K, McComb K. Horses discriminate between facial expressions of conspecifics.. Sci Rep 2016;6:38322.
    doi: 10.1038/srep38322google scholar: lookup
  13. Marr I, Potter G, Brucks D, Hausberger M, Clegg I. Non‐invasive stress evaluation in domestic horses (Equus caballus): the impact of housing conditions on sensory laterality and fecal glucocorticoid metabolites.. R Soc Open Sci 2020;7(4):191994.
    doi: 10.1098/rsos.191994google scholar: lookup
  14. Aarts RM, Smit IH, de Camargo Ferraz G, Rhodin M, Serra Bragança FM, Hernlund E. Quantitative assessment of gait alterations and variability in sulky‐driven Standardbred trotters after a standardized exercise test.. Equine Vet J 2025.
    doi: 10.1111/evj.70114google scholar: lookup
  15. Zetterberg E, Persson‐Sjödin E, Lundblad J, Hernlund E, Rhodin M. Prevalence of movement asymmetries in high‐performing riding horses perceived as free from lameness and riders' perception of horse sidedness.. PLoS One 2024;19(7):e0308061.
  16. Haussler KK, le Jeune SS, MacKechnie‐Guire R, Latif SN, Clayton HM. The challenge of defining laterality in horses: is it laterality or just asymmetry?. Animals (Basel) 2025;15(3):288.
    doi: 10.3390/ani15030288google scholar: lookup

Citations

This article has been cited 0 times.