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Modelling genetic evaluation for dressage in Pura Raza Español horses with focus on the rider effect.

Abstract: The most popular use of the Pura Raza Español horse in sport is for dressage competitions. Tests on young sport horses were first established in 2004 in Spain to collect data for the genetic evaluation of this breed's suitability for dressage. The aim of this study was to compare eight different models to find out the most appropriate way to include the rider in the genetic evaluation of dressage. A progressive removal of systematic effects from model was also analysed. A total of 8867 performance records collected between 2004 and 2011 from 1234 horses aged between 4 and 6 years old were used. The final score in the dressage test was used as the performance trait. The pedigree matrix contained 8487 individuals. A BLUP animal model was applied using a Bayesian approach with TM software. The horse's age, gender, travelling time, training level, stud of birth and event were included as systematic effects in all the models. Apart from the animal and residual effects that were present in all models, different models were compared combining random effects such as the rider, match (i.e. rider-horse interaction) and permanent environmental effects. A cross-validation approach was used to evaluate the models' prediction ability. The best model included the permanent environmental, rider and match random effects. As far as systematic effects are concerned, the event or the stud of birth was essential effects needed to fit the data.
Publication Date: 2014-03-28 PubMed ID: 24673743DOI: 10.1111/jbg.12088Google Scholar: Lookup
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  • Journal Article
  • Validation Study

Summary

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The study evaluates the potential genetic predisposition of Pura Raza Español horses for dressage and the impact of riders as part of the evaluation process.

Research Purpose and Methodology

  • The purpose of the research was to establish the most effective model for evaluating the genetic potential of Spanish Purebred, also known as Pura Raza Español horses, for dressage. More specifically, the research aimed to establish how to properly account for the impact of the rider in the genetic evaluation of these horses.
  • The researchers took 8867 performance records collected between 2004 and 2011 from 1234 horses aged 4-6 years old for analysis. They used dressage test scores as their performance indicator. The data for evaluation also included the pedigree details of 8487 individuals.
  • A BLUP (Best Linear Unbiased Prediction) animal model was used for evaluation, incorporating systematic effects such as horse’s age, gender, travel time, training level, stud of birth, and event. A Bayesian approach was used in the analysis of these systematic effects.

Comparative Analysis of Different Models

  • Different models were compared with the inclusion of varying random effects such as the rider, match (i.e., rider-horse interaction), and permanent environmental effects. All models considered included animal and residual effects.
  • The comparison between these models was made using a cross-validation approach. This method is used to estimate how accurately a predictive model will perform in practice.

Research Findings and Conclusion

  • The research concluded that the best model for assessing the genetic effect on Pura Raza Español horses’ performance in dressage tests includes components of rider and horse interaction, along with permanent environmental effects.
  • In terms of systematic effects, the inclusion of the event or the birth stud provided essential data for a good fit of the model.
  • The implication of these findings may affect the way genetic predisposition for dressage in horses can be evaluated, taking into serious consideration factors such as rider-horse interaction and non-genetic environmental variables.

Cite This Article

APA
Sánchez Guerrero MJ, Cervantes I, Valera M, Gutiérrez JP. (2014). Modelling genetic evaluation for dressage in Pura Raza Español horses with focus on the rider effect. J Anim Breed Genet, 131(5), 395-402. https://doi.org/10.1111/jbg.12088

Publication

ISSN: 1439-0388
NlmUniqueID: 100955807
Country: Germany
Language: English
Volume: 131
Issue: 5
Pages: 395-402

Researcher Affiliations

Sánchez Guerrero, M J
  • Department of Animal Production, Complutense University, Madrid, Spain.
Cervantes, I
    Valera, M
      Gutiérrez, J P

        MeSH Terms

        • Animals
        • Bayes Theorem
        • Breeding
        • Horses / genetics
        • Models, Genetic
        • Pedigree
        • Spain
        • Sports

        Citations

        This article has been cited 7 times.
        1. Chapard L, Van Thillo A, Meyermans R, Gorssen W, Buys N, Janssens S. Adjusted fence height: an improved phenotype for the genetic evaluation of show jumping performance in Warmblood horses.. Genet Sel Evol 2023 Feb 23;55(1):12.
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        2. Bartolomé E, Valera M, Fernández J, Rodríguez-Ramilo ST. Effects of Selection on Breed Contribution in the Caballo de Deporte Español.. Animals (Basel) 2022 Jun 25;12(13).
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        3. Ripolles M, Sánchez-Guerrero MJ, Perdomo-González DI, Azor P, Valera M. Survey of Risk Factors and Genetic Characterization of Ewe Neck in a World Population of Pura Raza Español Horses.. Animals (Basel) 2020 Oct 1;10(10).
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        4. Perdomo-González DI, Sánchez-Guerrero MJ, Molina A, Valera M. Genetic Structure Analysis of the Pura Raza Español Horse Population through Partial Inbreeding Coefficient Estimation.. Animals (Basel) 2020 Aug 6;10(8).
          doi: 10.3390/ani10081360pubmed: 32781594google scholar: lookup
        5. Mantovani R, Folla F, Pigozzi G, Tsuruta S, Sartori C. Genetics of Lifetime Reproductive Performance in Italian Heavy Draught Horse Mares.. Animals (Basel) 2020 Jun 23;10(6).
          doi: 10.3390/ani10061085pubmed: 32586061google scholar: lookup
        6. 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).
          doi: 10.3390/ani10061075pubmed: 32580415google scholar: lookup
        7. 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.
          doi: 10.1186/s12711-020-00539-5pubmed: 32276582google scholar: lookup