Phenotypic and genetic parameter estimates for racing traits of Arabian horses in Turkey.
Abstract: The racing records for Arabian horses used in the study were obtained from the Turkish Jockey Club. The traits used in the study were racing time, best racing time, rank, annual earnings, earnings per start, log annual earnings and log earnings per start. Genetic parameters were estimated by the restricted maximum likelihood (REML) procedure using the DFREML program. The effects of age, sex and origin of horse were significant for each trait. The effect of year was significant on time and earning traits, but not rank. The effect of month on time traits was also significant. Heritability estimates of the entire data set were 0.280, 0.281, 0.069, 0.139, 0.174, 0.152 and 0.171 for racing time, best racing time, rank, annual earnings, earnings per start, log annual earnings and log earnings per start respectively. Estimates of repeatability varied from 0.349 to 0.500 for racing time, from 0.430 to 0.524 for best racing time and from 0.129 to 0.171 for rank depending on the data set used in the analyses. Best racing time was the most appropriate trait for selection in this study, as this might lead to genetic improvement than other traits.
Publication Date: 2005-09-30 PubMed ID: 16191044DOI: 10.1111/j.1439-0388.2005.00544.xGoogle Scholar: Lookup
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- Comparative Study
- Journal Article
Summary
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This research paper investigates the genetic and phenotypic measurements related to racing Arabian horses in Turkey.
Methodology and Data Collection
- The research was conducted on the racing records of Arabian horses from the Turkish Jockey Club.
- Different traits like racing time, best racing time, rank, annual earnings, earnings per start, log annual earnings, and log earnings per start were taken into account.
- These data sets were tested using the method of restricted maximum likelihood (REML) procedure with the DFREML program to estimate the genetic parameters.
Key Findings
- The age, sex, and origin of the horse had a significant effect on each trait.
- The year had a substantial influence on time and earning traits but didn’t show a considerable impact on rank.
- The time traits were significantly affected by the month.
- The heritability estimates derived from the entire data set were mentioned for each trait; these included 0.280 for racing time, 0.281 for best racing time, 0.069 for rank, 0.139 for annual earnings, 0.174 for earnings per start, 0.152 for log annual earnings and 0.171 for log earnings per start.
- Estimates of repeatability showed variation depending upon the data set used in the analyses; it varied from 0.349 to 0.500 for racing time, from 0.430 to 0.524 for best racing time, and from 0.129 to 0.171 for rank.
Conclusions
- The best racing time was highlighted as the most appropriate trait for selection in this study.
- This leads to the implication that selection based on best racing time could result in better genetic improvement as compared to other traits under investigation.
Cite This Article
APA
Ekiz B, Kocak O.
(2005).
Phenotypic and genetic parameter estimates for racing traits of Arabian horses in Turkey.
J Anim Breed Genet, 122(5), 349-356.
https://doi.org/10.1111/j.1439-0388.2005.00544.x Publication
Researcher Affiliations
- Department of Animal Husbandry, Faculty of Veterinary Medicine, Istanbul University, Istanbul, Turkey. bekiz@istanbul.edu.tr
MeSH Terms
- Age Factors
- Animals
- Breeding / methods
- Horses / genetics
- Horses / physiology
- Likelihood Functions
- Models, Genetic
- Phenotype
- Quantitative Trait, Heritable
- Running / economics
- Running / physiology
- Sex Factors
- Turkey
Citations
This article has been cited 5 times.- Giontella A, Sarti FM, Biggio GP, Giovannini S, Cherchi R, Silvestrelli M, Pieramati C. Elo Method and Race Traits: A New Integrated System for Sport Horse Genetic Evaluation. Animals (Basel) 2020 Jul 6;10(7).
- Ropka-Molik K, Stefaniuk-Szmukier M, Szmatoła T, Piórkowska K, Bugno-Poniewierska M. The use of the SLC16A1 gene as a potential marker to predict race performance in Arabian horses. BMC Genet 2019 Sep 11;20(1):73.
- Sobotková E, Kopec T, Mikule V, Kuřitková D. Influence of horse demographics, country of training and race distance on the rating of Thoroughbreds. Arch Anim Breed 2023;66(4):299-313.
- Faria R, Vicente A, Silva J. Racing Performance of the Quarter Horse: Genetic Parameters, Trends and Correlation for Earnings, Best Time and Time Class. Animals (Basel) 2023 Jun 17;13(12).
- Argentina M, Mahadevan L. Fluid-flow-induced flutter of a flag. Proc Natl Acad Sci U S A 2005 Feb 8;102(6):1829-34.
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