DOI QR코드

DOI QR Code

Estimation of Genetic Parameters and Annual Trends for Racing Times of Thoroughbred Racehorses

더러브렛 경주마의 주파기록에 대한 유전모수 추정과 연도별 개량량 분석

  • Oh, Seung-Yoon (Interdisciplinary Program in Bioinformatics, Seoul National University) ;
  • Park, Jong-Eun (Department of Agricultural Biotechnology, Seoul National University) ;
  • Lee, Jeong-Ran (Department of Statistics, Seoul National University) ;
  • Lee, Jin-Woo (Korea Racing Authority) ;
  • Oh, Hee-Seok (Department of Statistics, Seoul National University) ;
  • Kim, Hee-Bal (Department of Agricultural Biotechnology, Seoul National University)
  • Received : 2009.02.06
  • Accepted : 2009.04.21
  • Published : 2009.04.01

Abstract

The aim of this study was to estimate genetic parameters and annual trends on the racing performance of Thoroughbred horses by a statistical analysis of the resulting records. We used the racing results of 245,979 observations for 13,458 horses recorded in 19 years of race held at Seoul and Busan racing tracks, provided by Korea Racing Authority. After a careful adjustment of some variables such as racing times, jockey and trainer numbers and the average prize a horse won, we selected significant factors that explain the result of racing records of a horse by stepwise AIC and BIC methods. The estimated heritability and repeatability were 0.322 and 0.332, respectively. The average of annual phenotypic and genetic improvement was -0.166 seconds and -0.161 seconds, respectively. Based on the statistical approach, we established reasonable animal model of well-set variables, which is important in the study on estimating performance of racing horses.

본 연구는 1990년부터 2008년까지 서울경마공원과 부산 경마공원에서 활동한 경주마 13,458두의 총 245,979개의 경주관측기록을 이용하여 국내 더러브렛 경주마의 유전능력과 연도별 개량량을 분석하였다. 모든 관측치들의 주파기록을 1400m 경주거리에 맞추어 보정하고, 기수와 조교사에 대해 평균수득상금의 순위에 따라 번호를 부여하였으며, 후보 설명변수들에 대해 AIC, BIC를 사용한 단계적 변수 선발법을 적용하였다. 19년간 국내에서 활동한 경주마들의 주파기록에 대한 유전력과 반복력은 각각 0.322, 0.332로 추정되었고, 연평균 표현형 개량량과 유전적 개량량은 -0.166초, -0.161초로 산출되었다. 경주마의 유전모수와 개량량의 추정 연구에 있어 무엇보다 설명력 높은 개체모형의 수립이 중요하다고 생각되며, 이는 실제 경주마의 능력을 효과적으로 반영하는 반응변수의 설정과 통계학적 기법을 활용한 체계적인 설명변수의 선발을 통해 가능하다

Keywords

References

  1. Akaike, H. 1973. Information theory and an extension of the maximum likelihood principle. Second international symposium on information theory. Paper No. 267-281.
  2. Bakhtiari, J. and Kashan, N. E. J. 2009. Estimation of genetic parameters of racing performance in Iranian thoroughbred horses. Livestock Science. 120(1-2):151-157. https://doi.org/10.1016/j.livsci.2008.05.007
  3. Chico, M. D. 1994. Genetic analysis of thoroughbred racing performance in Spain. Ann Zootech. 43:393-397. https://doi.org/10.1051/animres:19940409
  4. Ekiz, B. and Kocak, O. 2007. Estimates of genetic parameters for racing times of thoroughbred horses. Turk. J. Vet. Anim. Sci. 31(1):1-5.
  5. Meyer, K. 2007. WOMBAT—A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). J Zhejiang Univ Sci B. 8(11):815-821. https://doi.org/10.1631/jzus.2007.B0815
  6. Montgomery, D. C. 2005. Design and analysis of experiments. 6th ed., Wiley., p. 94-95.
  7. Moritsu, Y., Terai, A. and Tashiro, T. 1998. Relationship between sire breeding values for the rating score on turf and dirt racing tracks in thoroughbred racehorses. J. Equine Sci. 9:89-92. https://doi.org/10.1294/jes.9.89
  8. Mota, M. D. S., Abrahao, A. R. and Oliveira, H. N. 2005. Genetic and environmental parameters for racing time at different distances in Brazilian thoroughbreds. J. Anim. Breed. Genet. 122:393-399. https://doi.org/10.1111/j.1439-0388.2005.00551.x
  9. Park, K. D., Lee, H. K., Jeon, G. J., Kong, H. S., Cho, B. W., Cho, K. H. and Son, S. K. 2008. Trends on racing speed traits in thoroughbred racehorses. Korean J. Anim. Sci. 50(6): 747-752. https://doi.org/10.5187/JAST.2008.50.6.747
  10. Schwarz, G. 1978. Estimating the dimension of a model. The annals of statistics. 6:461-464. https://doi.org/10.1214/aos/1176344136
  11. Tukey, J. W. 1953. The problem of multiple comparisons. Unpublished notes, Princeton University.