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Genetic (co)variance components across age for Show Jumping performance as an estimation of phenotypic plasticity ability in Spanish horses.

Abstract: The purpose of this study was to study phenotypic plasticity ability for Show Jumping performance in horses according to age differences. For this study, 11 352 participations, belonging to 1085 horses grouped by age (4-, 5- or 6-year olds), were analysed. repeatability animal models (RAM) and multiple trait animal models (MTAM) were compared. RAM assumed the same covariance components for all age groups, whereas MTAM considered the results of every animal at every age group as different (but correlated) traits. The age, sex, starting order and training level were included as fixed effects. The random effects were the animal, the individual permanent environment, the competition and the rider. Six models were compared, and the rider-horse interaction was added as a random effect; furthermore, heterogeneous residual variance was taken into consideration only for MTAM. The study of the genetic correlations between age groups highlighted the presence of an age-genotype interaction and, therefore, an underlying environmental effect. This study may allow us to select horses with a plastic response, which show either a gradual response or a precocious response and thus gain or lose genetic potential with age, respectively.
Publication Date: 2012-09-18 PubMed ID: 23679944DOI: 10.1111/jbg.12001Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The research aims at understanding the phenotypic plasticity (or the ability of an organism to change its phenotype in response to changes in the environment) of Spanish show jumping horses as they age.

Objective of the Research

  • The primary objective of this research was to study the phenotypic plasticity of Spanish show jumping horses. The researchers examined how these horses’ performance in show jumping varied with age, indicating changes in their genetic potential. The study analyzes data from over 11,000 participations of about 1,085 horses within the age groups 4-, 5-, and 6-years old.

Methodology

  • The researchers used two main strategies: repeatability animal models (RAM) and multiple trait animal models (MTAM). The RAM assumed that covariance components (measures of how much two random variables move in tandem) for horses are equal across all age groups. On the other hand, the MTAM treated the results of each horse at each age group as unique yet correlated traits.
  • The study also considered several fixed effects, including the horse’s age, sex, starting order in the competition, and training level. They also analyzed random effects such as the animal’s individual behavior, the competition environment, and the rider.
  • In total, six models were compared to evaluate different aspects of horse performance. Notably, the rider-horse interaction was added as a random effect, and a varied residual variance, which quantifies prediction errors, was taken into consideration only for MTAM.

Findings

  • The research found an age-genotype interaction, indicating that horses’ performance changes with age due to environmental effects.
  • This finding suggests that there are different trajectories of performance for show jumping horses as they age. Some horses might have a gradual response, slowly building up their skills over time. Others might show a precocious response, reaching their peak performance early and then gradually losing their genetic potential as they age.
  • As such, understanding the phenotypic plasticity of horses could aid in their selection for different roles within equestrian sports depending on their adaptive responses to their environment.

Cite This Article

APA
Bartolomé E, Menéndez-Buxadera A, Valera M, Cervantes I, Molina A. (2012). Genetic (co)variance components across age for Show Jumping performance as an estimation of phenotypic plasticity ability in Spanish horses. J Anim Breed Genet, 130(3), 190-198. https://doi.org/10.1111/jbg.12001

Publication

ISSN: 1439-0388
NlmUniqueID: 100955807
Country: Germany
Language: English
Volume: 130
Issue: 3
Pages: 190-198

Researcher Affiliations

Bartolomé, E
  • Departamento de Ciencias Agroforestales, ETSIA, Universidad de Sevilla, Sevilla, Spain. ebartolome@us.es
Menéndez-Buxadera, A
    Valera, M
      Cervantes, I
        Molina, A

          MeSH Terms

          • Age Factors
          • Analysis of Variance
          • Animals
          • Breeding
          • Female
          • Horses / genetics
          • Horses / physiology
          • Male
          • Models, Theoretical
          • Motor Skills / physiology
          • Phenotype
          • Spain
          • Sports