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Journal of animal science2012; 90(9); 2921-2930; doi: 10.2527/jas.2011-4526

Genetic parameters for racing records in trotters using linear and generalized linear models.

Abstract: Heritability and repeatability and genetic and phenotypic correlations were estimated for trotting race records with linear and generalized linear models using 510,519 records on 17,792 Finnhorses and 513,161 records on 25,536 Standardbred trotters. Heritability and repeatability were estimated for single racing time and earnings traits with linear models, and logarithmic scale was used for racing time and fourth-root scale for earnings to correct for nonnormality. Generalized linear models with a gamma distribution were applied for single racing time and with a multinomial distribution for single earnings traits. In addition, genetic parameters for annual earnings were estimated with linear models on the observed and fourth-root scales. Racing success traits of single placings, winnings, breaking stride, and disqualifications were analyzed using generalized linear models with a binomial distribution. Estimates of heritability were greatest for racing time, which ranged from 0.32 to 0.34. Estimates of heritability were low for single earnings with all distributions, ranging from 0.01 to 0.09. Annual earnings were closer to normal distribution than single earnings. Heritability estimates were moderate for annual earnings on the fourth-root scale, 0.19 for Finnhorses and 0.27 for Standardbred trotters. Heritability estimates for binomial racing success variables ranged from 0.04 to 0.12, being greatest for winnings and least for breaking stride. Genetic correlations among racing traits were high, whereas phenotypic correlations were mainly low to moderate, except correlations between racing time and earnings were high. On the basis of a moderate heritability and moderate to high repeatability for racing time and annual earnings, selection of horses for these traits is effective when based on a few repeated records. Because of high genetic correlations, direct selection for racing time and annual earnings would also result in good genetic response in racing success.
Publication Date: 2012-07-10 PubMed ID: 22785161DOI: 10.2527/jas.2011-4526Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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This research explored the role of genetics in the performance of trotting racehorses. By analyzing over half a million records from two breeds of trotters, the study assessed the heritability and repeatability of several racing traits. Results showed that traits such as racing time have higher heritability, suggesting effective selection of horses for specific traits is possible based on a few repeating records.

Research Design

  • The data involved over a million records for two horse breeds: 17,792 Finnhorses and 25,536 Standardbred trotters.
  • Researchers estimated the heritability and repeatability of race performance in these horses using linear and generalized linear models.
  • The racing traits that were analyzed included racing time, earnings from races, single placings, victories, incidents of breaking stride, and disqualifications.

Major Findings

  • The heritability of racing time was highest, varying between 0.32 and 0.34. In genetics, heritability refers to the proportion of observed differences in a particular trait among individuals within a population that are due to genetic differences. Therefore, the data indicates that more than 30% of the differences in racing times among these trotters can be attributed to their genetic makeup.
  • Heritability estimates were considerably lower for earnings from single races, only ranging from 0.01 to 0.09. Thus, earnings are largely influenced by factors other than genetics.
  • The heritability of annual earnings, however, was moderate, 0.19 for Finnhorses and 0.27 for Standardbred trotters, indicating that over a longer term, genetic factors may play a more significant role in race earnings.
  • Heritability estimates for racing success variables (placings, winnings, breaking stride, and disqualifications) were on the lower side, varying between 0.04 and 0.12, implying these factors may be more influenced by environmental factors or training, than by genetics.
  • The study found high genetic correlation among racing traits, suggesting that selecting for certain traits would also likely result in improvements in genetically correlated traits. By contrast, phenotypic correlations (correlations in physical characteristics) were generally low to moderate.

Implications

  • The findings suggest that selection of horses for traits like racing time, based on a few repeated records, can be effective due to the moderate heritability and high repeatability of such traits.
  • However, selection for traits like single earnings facets may not be as fruitful due to their lower heritability.
  • Given the high genetic correlations observed, direct selection for racing time and annual earnings may also lead to good genetic response in overall racing success.

Cite This Article

APA
Suontama M, van der Werf JH, Juga J, Ojala M. (2012). Genetic parameters for racing records in trotters using linear and generalized linear models. J Anim Sci, 90(9), 2921-2930. https://doi.org/10.2527/jas.2011-4526

Publication

ISSN: 1525-3163
NlmUniqueID: 8003002
Country: United States
Language: English
Volume: 90
Issue: 9
Pages: 2921-2930

Researcher Affiliations

Suontama, M
  • Department of Agricultural Sciences, University of Helsinki, P.O. Box 28, 00014 Helsinki, Finland. mari.suontama@helsinki.fi
van der Werf, J H J
    Juga, J
      Ojala, M

        MeSH Terms

        • Animals
        • Breeding
        • Horses / genetics
        • Horses / physiology
        • Linear Models
        • Quantitative Trait, Heritable
        • Sports / economics

        Citations

        This article has been cited 1 times.
        1. Velie BD, Fegraeus KJ, Solé M, Rosengren MK, Røed KH, Ihler CF, Strand E, Lindgren G. A genome-wide association study for harness racing success in the Norwegian-Swedish coldblooded trotter reveals genes for learning and energy metabolism. BMC Genet 2018 Aug 29;19(1):80.
          doi: 10.1186/s12863-018-0670-3pubmed: 30157760google scholar: lookup