Genetic parameters of eventing horse competition in France.
Abstract: Genetic parameters of eventing horse competitions were estimated. About 13 000 horses, 30 000 annual results during 17 years and 110 000 starts in eventing competitions during 8 years were recorded. The measures of performance were logarithmic transformations of annual earnings, annual earnings per start, and annual earnings per place, and underlying variables responsible for ranks in each competition. Heritabilities were low (0.11 / 0.17 for annual results, 0.07 for ranks). Genetic correlations between criteria were high (greater than 0.90) except between ranks and earnings per place (0.58) or per start (0.67). Genetic correlations between ages (from 5 to 10 years old) were also high (more than 0.85) and allow selection on early performances. The genetic correlation between the results in different levels of competition (high/international and low/amateur) was near 1. Genetic correlations of eventing with other disciplines, which included partial aptitude needed for eventing, were very low for steeplechase races (0.18) and moderate with sport: jumping (0.45), dressage (0.58). The results suggest that selection on jumping performance will lead to some positive correlated response for eventing performance, but much more response could be obtained if a specific breeding objective and selection criteria were developed for eventing.
Publication Date: 2001-05-03 PubMed ID: 11333833PubMed Central: PMC2705390DOI: 10.1186/1297-9686-33-2-175Google Scholar: Lookup
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Summary
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The research looks into the genetic factors affecting the performance of eventing horses in France, based on around 13,000 horses’ competition data spread across 17 years. It specifically studies heritability, correlations between criteria, various ages and competition levels, and its relationship with other disciplines like steeplechase, jumping and dressage.
Research Methodology
- The study is based on the performance data of around 13,000 horses, accumulated over 17 years and including 110,000 starts in eventing competitions over 8 years.
- The performance measures utilized are the logarithmic transformations of annual earnings, annual earnings per start, annual earnings per place, and the underlying variables responsible for ranks in each competition.
Findings on Heritability
- The research found low heritability of traits, with the results showing 0.11/0.17 for annual results and a mere 0.07 for ranks. Heritability here refers to the proportion of differences in the horses’ performances that can be attributed to genetics.
Insights on Genetic Correlations
- The study shows high genetic correlations (greater than 0.9) between criteria such as annual earnings, earnings per start, and per place. Genetic correlations measure whether and how much two traits are connected genetically.
- An exception to high correlation exists between ranks and the earnings per place (0.58) or per start (0.67).
- High genetic correlations (above 0.85) were also found between horse performances at different ages from 5 to 10 years old.
- The correlation between performances in different levels of competition (high/international and low/amateur) was near perfect at approximately 1.
Correlation with Other Disciplines
- The research explored how eventing performance correlated with other horse-related disciplines.
- Low correlations were found with steeplechase races (0.18).
- Moderate correlations were found with sport-jumping (0.45), and dressage (0.58).
Impact on Selection and Breeding
- The research suggests that selecting and breeding horses based on high jumping performance can result in a moderately positive correlated response for eventing performance.
- However, the study stresses that more effective results could be achieved by developing specific breeding objectives and selection criteria for eventing.
Overall, this research provides a comprehensive understanding of the intricate genetic factors affecting the performance of eventing horses. It suggests that while certain traits have a strong genetic basis, more nuanced and discipline-specific selection methods can drive better performance in the future.
Cite This Article
APA
Ricard A, Chanu I.
(2001).
Genetic parameters of eventing horse competition in France.
Genet Sel Evol, 33(2), 175-190.
https://doi.org/10.1186/1297-9686-33-2-175 Publication
Researcher Affiliations
- Institut national de la recherche agronomique, Station de génétique quantitative et appliquée, 78352 Jouy-en-Josas Cedex, France. ugenata@dga.inra.fr
MeSH Terms
- Animals
- Behavior, Animal
- Female
- France
- Genotype
- Horses / genetics
- Male
- Physical Conditioning, Animal
- Selection, Genetic
- Sports
- Stereotyped Behavior
Citations
This article has been cited 9 times.- Walz KR, McCormick ME, Fedorka CE. The Thoroughbred Theory: Influence of Breed on Performance at the CCI5*-L Level of Eventing. Animals (Basel) 2025 Jun 18;15(12).
- Sá P, Godinho RM, Gòdia M, Sevillano CA, Harlizius B, Madsen O, Bovenhuis H. Genetic parameters and parental and early-life effects of boar semen traits. Genet Sel Evol 2025 Feb 6;57(1):4.
- Vidal Moreno de Vega C, Lemmens D, de Meeûs d'Argenteuil C, Boshuizen B, de Maré L, Leybaert L, Goethals K, de Oliveira JE, Hosotani G, Deforce D, Van Nieuwerburgh F, Devisscher L, Delesalle C. Dynamics of training and acute exercise-induced shifts in muscular glucose transporter (GLUT) 4, 8, and 12 expression in locomotion versus posture muscles in healthy horses. Front Physiol 2023;14:1256217.
- Sánchez-Guerrero MJ, Ripollés-Lobo M, Bartolomé E, Perdomo-González DI, Valera M. The Relevance of the Expected Value of the Proportion of Arabian Genes in Genetic Evaluations for Eventing Competitions. Animals (Basel) 2023 Jun 13;13(12).
- Cervantes I, Gutiérrez JP, García-Ballesteros S, Varona L. Combining Threshold, Thurstonian and Classical Linear Models in Horse Genetic Evaluations for Endurance Competitions. Animals (Basel) 2020 Jun 22;10(6).
- Varona L, Legarra A. GIBBSTHUR: Software for Estimating Variance Components and Predicting Breeding Values for Ranking Traits Based on a Thurstonian Model. Animals (Basel) 2020 Jun 8;10(6).
- Cervantes I, Bodin L, Valera M, Molina A, Gutiérrez JP. Challenging the selection for consistency in the rank of endurance competitions. Genet Sel Evol 2020 Apr 10;52(1):20.
- Raudsepp T, Finno CJ, Bellone RR, Petersen JL. Ten years of the horse reference genome: insights into equine biology, domestication and population dynamics in the post-genome era. Anim Genet 2019 Dec;50(6):569-597.
- Rogers CW, Bolwell CF, Gee EK. Proactive Management of the Equine Athlete. Animals (Basel) 2012 Dec 19;2(4):640-55.
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