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Life (Basel, Switzerland)2026; 16(3); 455; doi: 10.3390/life16030455

Integrating Performance Records and Genetic Evaluations in Spanish Horse Populations Competing in Olympic Disciplines.

Abstract: This study evaluates performance data and genetic merit of the main horse populations competing in Olympic disciplines in Spain and examines their implications for the optimization of official Breeding Programs. Performance records from 2004-2023 were analyzed, including 101,093 participations in Dressage, 319,000 in Show Jumping, and 17,535 in Eventing. These records were combined with pedigree information from 35,589 horses in Dressage, 33,935 in Show Jumping, and 12,102 in Eventing and evaluated using BLUP animal models to obtain standardized Estimated Breeding Values (EBV; mean 100 ± 20) and a Genetic Global Index (GGI). A single unified evaluation model was implemented for all studbooks, enabling a direct comparison of genetic quality across different breeds. Results revealed marked differences in genetic merit and genetic progress among breeds. Similar mean EBVs were obtained for the three analyzed breeds in Dressage in both the complete and the top 10% populations, with positive genetic trends in Caballo de Deporte Español (CDE) and Pura Raza Española (PRE), while the slope of EBV on birth year was not significantly different from zero in Spanish Anglo-Árabe (AA). CDE showed the highest mean EBVs and accuracies in Show Jumping (EBV up to 109.27; R up to 0.72), with a clear positive genetic trend. In Eventing, CDE and AA showed similar EBVs, while PRE consistently exhibited lower ones, although with a comparatively more favorable genetic trend. Analysis of selection intensity indicated that PRE breeders applied the most consistent genetic criteria, preferentially using animals with GGI > 100, whereas CDE and AA showed discrepancies between genetic merit and reproductive use. Overall, the unified Spanish genetic evaluation system provides reliable comparative information across breeds and has enabled measurable genetic progress, although improvements in breeders' decision-making and in the use of genetic information are needed to maximize selection response.
Publication Date: 2026-03-10 PubMed ID: 41900973DOI: 10.3390/life16030455Google Scholar: Lookup
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  • Journal Article

Summary

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Overview

  • This study analyzes performance and genetic data from Spanish horses competing in Olympic equestrian disciplines to assess their genetic quality and progress.
  • It integrates performance records with pedigree information using a unified genetic evaluation model to compare breeds and guide breeding programs.

Study Purpose and Context

  • The research focuses on the main populations of Spanish horses involved in three Olympic equestrian disciplines: Dressage, Show Jumping, and Eventing.
  • It aims to evaluate genetic merit—measured through Estimated Breeding Values (EBVs) and a Genetic Global Index (GGI)—to improve the effectiveness of official breeding programs.
  • The study covers nearly two decades of competitive records and genetic data to assess trends and breed differences.

Data Used

  • Performance records spanned from 2004 to 2023, involving:
    • Dressage: 101,093 participations
    • Show Jumping: 319,000 participations
    • Eventing: 17,535 participations
  • Pedigree data included:
    • Dressage: 35,589 horses
    • Show Jumping: 33,935 horses
    • Eventing: 12,102 horses

Methodology

  • Performance and pedigree data were analyzed using BLUP (Best Linear Unbiased Prediction) animal models, providing standardized EBVs with a mean of 100 ± 20.
  • A Genetic Global Index (GGI) was calculated as a composite measure of genetic merit.
  • A single unified genetic evaluation model was applied to all studbooks and breeds, allowing direct comparisons of genetic quality across breeds.

Key Findings

  • Dressage:
    • Three breeds analyzed: Caballo de Deporte Español (CDE), Pura Raza Española (PRE), and Spanish Anglo-Árabe (AA).
    • Mean EBVs were similar among breeds both in the full population and in the top 10% of performers.
    • Positive genetic trends (improvement over birth years) were observed in CDE and PRE.
    • No significant genetic trend observed in AA.
  • Show Jumping:
    • CDE exhibited the highest mean EBVs, reaching up to 109.27 with accuracies up to 0.72.
    • A clear positive genetic trend was detected in CDE, indicating ongoing improvement.
  • Eventing:
    • CDE and AA showed similar EBVs.
    • PRE displayed consistently lower EBVs but showed a comparatively more favorable genetic trend over time.
  • Selection Intensity and Breeding Decisions:
    • PRE breeders consistently used animals with GGI above 100, showing stronger genetic selection pressure.
    • CDE and AA demonstrated discrepancies between genetic merit and reproductive use, suggesting less optimal use of genetic information.

Implications and Recommendations

  • The unified Spanish genetic evaluation system is effective in generating reliable comparative data across breeds.
  • It has enabled measurable genetic progress, particularly in CDE and PRE populations.
  • Breeders could improve the selection response by better integrating genetic data into reproductive decisions.
  • Improving decision-making and the use of genetic information within breeding programs can maximize genetic gains.

Conclusion

  • This extensive integration of performance and genetic evaluations supports optimized breeding strategies in Spanish Olympic equestrian disciplines.
  • The approach facilitates direct breed comparison, guides selection intensity, and highlights areas for enhanced breeder education and program management.

Cite This Article

APA
Gómez MD, Sánchez-Guerrero MJ, Perdomo-González DI, Ripollés-Lobo M, Bartolomé E, Valera M. (2026). Integrating Performance Records and Genetic Evaluations in Spanish Horse Populations Competing in Olympic Disciplines. Life (Basel), 16(3), 455. https://doi.org/10.3390/life16030455

Publication

ISSN: 2075-1729
NlmUniqueID: 101580444
Country: Switzerland
Language: English
Volume: 16
Issue: 3
PII: 455

Researcher Affiliations

Gómez, María Dolores
  • Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agronómica, Universidad de Sevilla, Ctra. Utrera Km 1, 41013 Sevilla, Spain.
Sánchez-Guerrero, María José
  • Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agronómica, Universidad de Sevilla, Ctra. Utrera Km 1, 41013 Sevilla, Spain.
Perdomo-González, Davinia Isabel
  • Departamento de Producción Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, 28040 Madrid, Spain.
Ripollés-Lobo, María
  • Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agronómica, Universidad de Sevilla, Ctra. Utrera Km 1, 41013 Sevilla, Spain.
Bartolomé, Ester
  • Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agronómica, Universidad de Sevilla, Ctra. Utrera Km 1, 41013 Sevilla, Spain.
Valera, Mercedes
  • Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agronómica, Universidad de Sevilla, Ctra. Utrera Km 1, 41013 Sevilla, Spain.

Grant Funding

  • PRJ202304988 / ANCCE
  • PRJ202304692 / AECAA
  • PRJ202104060 / ANCADES

Citations

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