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Animals : an open access journal from MDPI2025; 15(15); 2227; doi: 10.3390/ani15152227

Phenotypic Associations Between Linearly Scored Traits and Sport Horse Auction Sales Price in Ireland.

Abstract: This study examines the associations between linearly scored phenotypic traits and auction sales prices of young event horses in Ireland, aiming to identify key traits influencing market value. Data from 307 horses sold at public auctions (2022-2023) were analysed using regression analysis, binary optimisation, and Principal Component Analysis (PCA). Regression identified Head-neck Connection, Quality of Legs, Walk length of Stride, and Scope as highly significant predictors of sales price ( < 0.001), with Length of Croup, Trot Elasticity, Trot Balance, and Take-off Direction also significant ( < 0.05). Optimised regression reduced the number of relevant traits from 37 to 8, streamlining evaluation. PCA highlighted eight principal traits, including Scope, Elasticity, and Canter Impulsion, explaining 61.19% of variance in the first four components. These results demonstrate that specific conformation, movement, and athleticism traits significantly affect auction outcomes. The findings provide actionable insights for breeders and stakeholders, suggesting that targeted selection for high-impact traits could accelerate genetic progress and improve market returns. Furthermore, these traits could underpin the development of economic or buyer indices to enhance valuation accuracy and transparency, with potential application across equestrian disciplines to align breeding objectives with market demands.
Publication Date: 2025-07-29 PubMed ID: 40805017PubMed Central: PMC12345427DOI: 10.3390/ani15152227Google Scholar: Lookup
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Summary

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This research examines the relationship between the physical characteristics of young event horses in Ireland and their auction prices. The study identified certain traits as significant predictors of a horse’s price at auction.

Methodology

  • The study analysed data from 307 horses that were sold at public auctions in Ireland during 2022-2023.
  • Several statistical methods were used to assess the data, including regression analysis, binary optimisation, and Principal Component Analysis (PCA).
  • Regression analysis was used to identify which traits had a significant impact on auction sales prices.
  • Binary optimisation was employed to reduce the number of relevant traits from 37 to 8, simplifying the evaluation process.
  • PCA was carried out to highlight the main traits that explained the variation in auction prices.

Results

  • The regression analysis found several traits to be highly significant predictors of sales price, specifically: Head-neck Connection, Quality of Legs, Walk length of Stride, and Scope. Other significant traits included Length of Croup, Trot Elasticity, Trot Balance, and Take-off Direction.
  • The binary optimisation process reduced the number of important traits from 37 to 8. This helps in focusing the evaluation process on a smaller set of traits.
  • The PCA revealed eight principal traits, including Scope, Elasticity, and Canter Impulsion, which explained over 61% of the variance in the auction prices.

Implications

  • The findings suggest that certain traits related to conformation, movement, and athleticism significantly affect the auction prices of horses. This provides useful insights for breeders and others involved in the horse industry.
  • The study suggests that breeding programs could potentially increase their returns by selecting for these high-impact traits.
  • These traits could also support the development of economic or buyer indices, which could improve the accuracy and transparency of horse valuations.
  • The study’s findings could have broader applications, potentially helping to bring breeding objectives into closer alignment with market demands across various equestrian disciplines.

Cite This Article

APA
Corbally AF, Mulligan FJ, Sweeney T, Fahey AG. (2025). Phenotypic Associations Between Linearly Scored Traits and Sport Horse Auction Sales Price in Ireland. Animals (Basel), 15(15), 2227. https://doi.org/10.3390/ani15152227

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 15
Issue: 15
PII: 2227

Researcher Affiliations

Corbally, Alison F
  • School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland.
Mulligan, Finbar J
  • School of Veterinary Medicine, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland.
Sweeney, Torres
  • School of Veterinary Medicine, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland.
Fahey, Alan G
  • School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland.

Conflict of Interest Statement

None of the authors has any financial or personal relationships that could inappropriately influence or bias the content of the paper.

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