Analyze Diet
Frontiers in genetics2021; 12; 619947; doi: 10.3389/fgene.2021.619947

Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition.

Abstract: Functional longevity is essential for the well-being of horses and the satisfaction of riders. Conventional selection using longevity breeding values calculated from competition results is not efficient because it takes too long to obtain reliable information. Therefore, the objective was to identify early criteria for selection. We assessed two types of early criteria: gait traits of young horses and QTLs. Thus, our aim was to estimate the genetic correlation between gait traits and longevity and to perform a genome-wide association study (GWAS) for longevity. Measurements of gaits by accelerometry were recorded on 1,477 show jumping horses that were 4 to 5 years old. Gait analysis provided 9 principal components describing trot, canter, and walk. Longevity estimated breeding values (EBVs) for stallions were calculated using a survival analysis of more than 900,000 years of performances by 179,448 show jumping horses born from 1981 onwards. Longevity was measured as the number of years spent in competition. Model included region and month of birth, age at first competition, year, and performance level. Longevity EBVs were deregressed to obtain weighted pseudo-performances for 1,968 stallions. Genomic data were available for 3,658 jumping horses. Seventy-eight percent of the horses measured for gaits and twenty-five percent of those measured for longevity were genotyped. A GWAS of longevity revealed no significant QTLs. Genetic parameters between each of the 9 principal components of the gait variables and longevity were evaluated with a bi-trait animal linear mixed model using single-step GBLUP analysis with the relationship matrix constructed from genomic data and genealogy (24,448 ancestors over four generations). The heritability of the gait traits varied from 0.11 to 0.44. The third principal component for trot (high lateral activity) and the first principal component for canter (high dorsoventral activity and low stride frequency) were moderately genetically correlated with higher longevity: rg = 0.38 (0.15) and 0.28 (0.13), respectively. Our study revealed that functional longevity is a polygenic trait with no major genes. We found new correlations between longevity and gait traits. Before using gait characteristics in a selection plan, these correlations need to be understood better at the biomechanical level.
Publication Date: 2021-01-29 PubMed ID: 33584826PubMed Central: PMC7879571DOI: 10.3389/fgene.2021.619947Google 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.

The research paper is a study on the relationship between the gaits of young horses and their functional longevity in competitive jumping, seeking early selection criteria for longevity.

Objective and Criteria Assessment

  • The researchers focused on functional longevity in horses, which is important for the horses’ welfare and riders’ satisfaction. They suggested that the current method of selecting longevity breeding values from competition results is ineffective because it takes a long time to receive reliable information.
  • They assessed two early criteria for selection: first, the traits of young horses’ gaits measured by accelerometry, second, Quantitative trait loci (QTLs), which are the genomic locations of genes affecting a trait such as longevity.

Gait Traits Analysis

  • The gait traits of 1,477 show jumping horses, aged 4 to 5 years, were recorded using accelerometry. Through analysis, they abstracted nine principal components describing the horses’ walk, trot, and canter.

Longevity Evaluation

  • A survival analysis was performed to calculate longevity estimated breeding values (EBVs) for stallions, using the performance data for over 900,000 years by 179,448 show jumping horses born from 1981 onwards. The longevity was measured based on the number of years spent in competition.
  • Information such as the region and month of birth, age at first competition, year of performance, and level of performance were included in the model for analysis. The resultant longevity EBVs were deregressed to produce weighted pseudo-performances for 1,968 stallions.

Genomic Data Analysis

  • Genomic data were collected for 3,658 jumping horses, out of which 78% had their gait traits measured and 25% were measured for longevity. However, a Genome-Wide Association Study (GWAS) of longevity did not reveal any significant Quantitative Trait Loci (QTLs), indicating no major genes are responsible for functional longevity.

Gait and Longevity Correlation

  • The research concluded by evaluating the genetic correlation between the gait variables’ nine principal components and longevity, using a bi-trait animal linear mixed model and single-step Genomic Best Linear Unbiased Prediction (GBLUP) analysis.
  • The heritability of the gaits varied between 0.11 and 0.44. Of note, the third principal component for trot (high lateral activity) and the first principal component for canter (high dorsoventral activity and low stride frequency) showed a moderate genetic correlation with higher longevity.

Final Observations

  • The study concluded that functional longevity is a polygenic trait with no major genes responsible for it. The study also found new correlations between longevity and gait traits. However, the researchers recommended a need to understand these correlations at a biomechanical level before implementing these gait characteristics in a selection plan.

Cite This Article

APA
Dugué M, Dumont Saint Priest B, Crichan H, Danvy S, Ricard A. (2021). Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition. Front Genet, 12, 619947. https://doi.org/10.3389/fgene.2021.619947

Publication

ISSN: 1664-8021
NlmUniqueID: 101560621
Country: Switzerland
Language: English
Volume: 12
Pages: 619947

Researcher Affiliations

Dugué, Manon
  • Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France.
Dumont Saint Priest, Bernard
  • Pôle Développement Innovation Recherche, IFCE, Gouffern en Auge, France.
Crichan, Harmony
  • Pôle Développement Innovation Recherche, IFCE, Gouffern en Auge, France.
Danvy, Sophie
  • Pôle Développement Innovation Recherche, IFCE, Gouffern en Auge, France.
Ricard, Anne
  • Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France.
  • Pôle Développement Innovation Recherche, IFCE, Gouffern en Auge, France.

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.

References

This article includes 49 references
  1. Ablondi M, Eriksson S, Tetu S, Sabbioni A, Viklund A, Mikko S. Genomic divergence in Swedish warmblood horses selected for equestrian disciplines. Genes 10:12.
    doi: 10.3390/genes10120976pmc: PMC6947233pubmed: 31783652google scholar: lookup
  2. Aguilar I, Legarra A, Cardoso F, Masuda Y, Lourenco D, Misztal I. Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. Genet Select Evol 51:28.
    doi: 10.1186/s12711-019-0469-3pmc: PMC6584984pubmed: 31221101google scholar: lookup
  3. Aguilar I, Misztal I, Johnson DL, Legarra A, Tsuruta S, Lawlor TJ. Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. J Dairy Sci 93, 743–752.
    doi: 10.3168/jds.2009-2730pubmed: 20105546google scholar: lookup
  4. Aguilar I, Tsuruta S, Masuda Y, Lourenco D, Legarra A, Misztal I. BLUPF90 suite of programs for animal breeding with focus on genomics. in Proceedings of the World Congress on Genetics Applied to Livestock Production (Auckland: ).
  5. Barrey E, Auvinet B, Couroucé A. Gait evaluation of race trotters using an accelerometric device. Equine Vet J 18, 156–160.
  6. Barrey E, Hermelin M, Vaudelin JL, Poirel D, Valette JP. Utilisation of an accelometric device in equine gait analysis. Equine Vet J 17, 7–12.
  7. Braam A, Nasholm A, Roepstorff L, Philipsson J. Genetic variation in durability of Swedish Warmblood horses using competition results. Livestock Sci 142, 181–187.
  8. Brard S, Ricard A. Genome-wide association study for jumping performances in French sport horses. Anim Genet 46, 78–81.
    doi: 10.1111/age.12245pubmed: 25515185google scholar: lookup
  9. Chassier M, Barrey E, Robert C, Duluard A, Danvy S, Ricard A. Genotype imputation accuracy in multiple equine breeds from medium- to high-density genotypes. J Anim Breed Genet 135, 420–431.
    doi: 10.1111/jbg.12358pubmed: 30298946google scholar: lookup
  10. Christensen OF, Lund MS. Genomic prediction when some animals are not genotyped. Gen Select Evol 42:2.
    doi: 10.1186/1297-9686-42-2pmc: PMC2834608pubmed: 20105297google scholar: lookup
  11. Ducro BJ, Gorissen B, van Eldik P, Back W. Influence of foot conformation on duration of competitive life in a Dutch Warmblood horse population. Equine Vet J 41, 144–148.
    doi: 10.2746/042516408x363800pubmed: 19418742google scholar: lookup
  12. Egan S, Brama P, McGrath D. Research trends in equine movement analysis, future opportunities and potential barriers in the digital age: a scoping review from 1978 to 2018. Equine Vet J 51, 813–824.
    doi: 10.1111/evj.13076pubmed: 30659639google scholar: lookup
  13. Fernando RL, Dekkers JCM, Garrick DJ. A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole-genome analyses. Genet Select Evol 46:50.
    doi: 10.1186/1297-9686-46-50pmc: PMC4262255pubmed: 25253441google scholar: lookup
  14. Finno CJ, Bannasch DL. Applied equine genetics. Equine Vet J 46, 538–544.
    doi: 10.1111/evj.12294pmc: PMC4327934pubmed: 24802051google scholar: lookup
  15. Gilmour AR, Gogel BJ, Cullis BR, Welham SJ, Thompson R. ASReml User Guide Release 4.1 Structural Specification. Hemel Hempstead: VSN International Ltd..
  16. Harris B, Johnson D. Approximate reliability of genetic evaluations under an animal model. J Dairy Sci 81, 2723–2728.
  17. Hartig W, Houe H, Andersen PH. Monitoring of equine health in Denmark: A survey of the attitudes and concerns of potential database participants. Prevent Vet Med 109, 83–91.
  18. Hartig W, Houe H, Andersen PH. Monitoring of equine health in Denmark: the importance, purpose, research areas and content of a future database. Prevent Vet Med 109, 92–105.
  19. Jonsson L, Egenvall A, Roepstorff L, Nasholm A, Dalin G, Philipsson J. Associations of health status and conformation with longevity and lifetime competition performance in young Swedish Warmblood riding horses: 8,238 cases (1983-2005). J Am Vet Med Assoc 244, 1449–1461.
    doi: 10.2460/javma.244.12.1449pubmed: 24871069google scholar: lookup
  20. Jonsson L, Nasholm A, Roepstorff L, Egenvall A, Dalin G, Philipsson J. Conformation traits and their genetic and phenotypic associations with health status in young Swedish warmblood riding horses. Livestock Sci 163, 12–25.
  21. Koenen EPC, Aldridge LI, Philipsson J. An overview of breeding objectives for warmblood sport horses. Livestock Prod Sci 88, 77–84.
  22. König von Borstel U, Bernhard V. Impact of health disorders and culling reasons on functional and biological longevity in Warmblood breeding stallions. Vet J 197, 273–279.
    doi: 10.1016/j.tvjl.2013.02.026pubmed: 23911043google scholar: lookup
  23. Leblond A, Leblond L, Sabatier P, Sasco AJ. Descriptive epidemiology of death in horses: results from a survey of French speaking equine practitioners in four countries. Ann Med Vet 145:122.
  24. Leblond A, Villard I, Leblond L, Sabatier P, Sasco AJ. A retrospective evaluation of the causes of death of 448 insured French horses in 1995. Vet Res Commun 24, 85–102.
    doi: 10.1023/a:1006408522233pubmed: 10720095google scholar: lookup
  25. Legarra A, Christensen OF, Aguilar I, Misztal I. Single Step, a general approach for genomic selection. Livestock Sci 166, 54–65.
  26. Leleu C, Bariller F, Cotrel C, Barrey E. Reproducibility of a locomotor test for trotter horses. Vet J 168, 160–166.
    doi: 10.1016/s1090-0233(03)00109-6pubmed: 15301764google scholar: lookup
  27. McCue ME, Valberg SJ, Jackson M, Borgia L, Lucio M, Mickelson JR. Polysaccharide storage myopathy phenotype in quarter horse-related breeds is modified by the presence of an RYR1 mutation. Neuromusc Disord 19, 37–43.
    doi: 10.1016/j.nmd.2008.10.001pubmed: 19056269google scholar: lookup
  28. McCue ME, Valberg SJ, Miller MB, Wade C, DiMauro S, Akman HO. Glycogen synthase (GYS1) mutation causes a novel skeletal muscle glycogenosis. Genomics 91, 458–466.
    doi: 10.1016/j.ygeno.2008.01.011pmc: PMC2430182pubmed: 18358695google scholar: lookup
  29. Meszaros G, Solkner J, Ducrocq V. The Survival Kit: Software to analyze survival data including possibly correlated random effects. Comp Methods Prog Biomed 110, 503–510.
    doi: 10.1016/j.cmpb.2013.01.010pmc: PMC3693034pubmed: 23399103google scholar: lookup
  30. Nanaei HA, Mehrgardi AA, Esmailizadeh A. Comparative population genomics unveils candidate genes for athletic performance in Hanoverians. Genome 62, 279–285.
    doi: 10.1139/gen-2018-0151pubmed: 30779599google scholar: lookup
  31. Posta J, Mezei AR, Mihok S, Meszaros G. Evaluation of the length of competitive life in Hungarian sport horses. J Anim Breed Genet 131, 529–535.
    doi: 10.1111/jbg.12108pubmed: 25073548google scholar: lookup
  32. Ricard A, Blouin C. Genetic analysis of the longevity of French sport horses in jumping competition. J Anim Sci 89, 2988–2994.
    doi: 10.2527/jas.2011-3931pubmed: 21551348google scholar: lookup
  33. Ricard A, Danvy S, Legarra A. Computation of deregressed proofs for genomic selection when own phenotypes exist with an application in French show-jumping horses. J Anim Sci 91:5256.
    doi: 10.2527/jas.2012-5256pubmed: 23230121google scholar: lookup
  34. Ricard A, Dumont Saint Priest B, Chassier M, Sabbagh M, Danvy S. Genetic consistency between gait analysis by accelerometry and evaluation scores at breeding shows for the selection of jumping competition horses. PLoS ONE 15:e0244064.
  35. Ricard A, Fournet-Hanocq F. Analysis of factors affecting length of competitive life of jumping horses. Genet Select Evol 29, 251–267.
    doi: 10.1051/gse:19970209google scholar: lookup
  36. Rovere G, Ducro BJ, van Arendonk JAM, Norberg E, Madsen P. Genetic correlations between dressage, show jumping and studbook-entry inspection traits in a process of specialization in Dutch Warmblood horses. J Anim Breed Genet 134, 162–171.
    doi: 10.1111/jbg.12241pubmed: 27678258google scholar: lookup
  37. Rovere G, Madsen P, Norberg E, van Arendonk JAM, Ducro BJ. Effect of specialization on genetic parameters of studbook-entry inspection in Dutch Warmblood horses. J Anim Breed Genet 132, 441–448.
    doi: 10.1111/jbg.12166pubmed: 26012787google scholar: lookup
  38. Sargolzaei M, Chesnais JP, Schenkel FS. A new approach for efficient genotype imputation using information from relatives. BMC Genom 15:478.
    doi: 10.1186/1471-2164-15-478pmc: PMC4076979pubmed: 24935670google scholar: lookup
  39. Schroeder W, Klostermann A, Stock KF, Distl O. A genome-wide association study for quantitative trait loci of show-jumping in Hanoverian warmblood horses. Anim Genet 43, 392–400.
  40. Seiero T, Mark T, Jonsson L. Genetic parameters for longevity and informative value of early indicator traits in Danish show jumping horses. Livestock Sci 184, 126–133.
  41. Sloet van Oldruitenborgh-Oosterbaan MM, Genzel W, Van Weeren PR. A pilot study on factors influencing the career of Dutch sport horses. Equine Vet J 42, 28–32.
  42. Sole M, Sanchez MJ, Valera M, Molina A, Azor PJ, Solkner J. Assessment of sportive longevity in Pura Raza Espanol dressage horses. Livestock Sci 203, 69–75.
  43. Stock KF, Distl O. Survey on the development of Hanoverian Warmblood horses, selected for sale at auction in 1991 to 1998. J Equine Vet Sci 25, 210–223.
  44. Stock KF, Jonsson L, Ricard A, Mark T. Genomic applications in horse breeding. Anim Front 6, 45–52.
    doi: 10.2527/af.2016-0007google scholar: lookup
  45. Tarres J, Piedrafita J, Ducrocq V. Validation of an approximate approach to compute genetic correlations between longevity and linear traits. Genet Select Evol 38, 65–83.
    doi: 10.1051/gse:2005027pmc: PMC2689299pubmed: 16451792google scholar: lookup
  46. Visser EK, Neijenhuis F, de Graaf-Roelfsema E, Wesselink HGM, de Boer J, van Wijhe-Kiezebrink MC. Risk factors associated with health disorders in sport and leisure horses in the Netherlands. J Anim Sci 92, 844–855.
    doi: 10.2527/jas.2013-6692pubmed: 24352963google scholar: lookup
  47. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F. Genome sequence, comparative analysis, and population genetics of the domestic horse. Science 326, 865–867.
    doi: 10.1126/science.1178158pmc: PMC3785132pubmed: 19892987google scholar: lookup
  48. Wallin L, Strandberg E, Philipsson J, Dalin G. Estimates of longevity and causes of culling and death in Swedish warmblood and coldblood horses. Livestock Prod Sci 63, 275–289.
  49. Yazdi MH, Visscher PM, Ducrocq V, Thompson R. Heritability, reliability of genetic evaluations and response to selection in proportional hazard models. J Dairy Sci 85, 1563–1577.

Citations

This article has been cited 2 times.
  1. Asti V, Summer A, Ablondi M, Sartori C, Giontella A, Pilastro V, Mecocci S, Cappelli K, Mancin E, Oian A, Mantovani R, Capomaccio S, Sabbioni A. Selection signatures and inbreeding: exploring genetic diversity in five native horse breeds. BMC Vet Res 2025 May 16;21(1):346.
    doi: 10.1186/s12917-025-04794-wpubmed: 40380299google scholar: lookup
  2. Harari S, Deretz S, Dumont Saint Priest B, Richard E, Ricard A. Comparison of blood parameters in two genetically different groups of horses for functional longevity in show jumping. Front Genet 2024;15:1455790.
    doi: 10.3389/fgene.2024.1455790pubmed: 39534078google scholar: lookup