FREE SHIPPING over $40
OVER 9000 FIVE-STAR REVIEWS
5% OFF ALL SUBSCRIPTIONS
100% HAPPINESS GUARANTEE
Analyze Diet
0
Home / Equine Research Bank / Anim Biosci / National genomic evaluation of Korean thoroughbreds through ...
Animal bioscience2022; 35(5); 659-669; doi: 10.5713/ab.21.0409

National genomic evaluation of Korean thoroughbreds through indirect racing phenotype.

Abstract: Thoroughbred horses have been bred exclusively for racing in England for a long time. Additionally, because horse racing is a global sport, a healthy leisure activity for ordinary citizens, and a high-value business, systematic racehorse breeding at the population level is a requirement for continuous industrial development. Therefore, we established genomic evaluation system (using prize money as horse racing traits) to produce spirited, agile, and strong racing horse population. Methods: We used phenotypic data from 25,061 Thoroughbred horses (all registered individuals in Korea) that competed in races between 1994 and 2019 at the Korea Racing Authority and constructed pedigree structures. We quantified the improvement in racehorse breeding output by year in Korea, and this aided in the establishment of a high-level horse-fill industry. Results: We found that pedigree-based best linear unbiased prediction method improved the racing performance of the Thoroughbred population with high accuracy, making it possible to construct an excellent Thoroughbred racehorse population in Korea. Conclusions: This study could be used to develop an efficient breeding program at the population level for Korean Thoroughbred racehorse populations as well as others.
Get Full Text
Publication Date: 2022-01-21 PubMed ID: 35073661PubMed Central: PMC9065785DOI: 10.5713/ab.21.0409Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
LinkedInCopy
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research article presents a study on genomic evaluation of Korean thoroughbreds, aiming to improve racehorse breeding at a population level by evaluating racing traits through prize money.

Objectives and Background

  • Thoroughbred horses have always been bred for racing, particularly in England, and is now a global sport that requires systematic breeding for continued industrial development.
  • Recognizing this need, the researchers aimed to establish a genomic evaluation system that uses prize money as a measure of racing traits.
  • The objective of the study was to help produce a population of spirited, agile, and strong racing horses.

Methods Applied

  • The study used phenotypic data from 25,061 Thoroughbred horses, which included all registered individuals in Korea that competed in races between 1994 and 2019.
  • The researchers constructed pedigree structures using this data.
  • They also quantified improvements in racehorse breeding output by year in Korea. This information was used to help establish a high-level horse-fill industry.

Results Garnered

  • The results of the study showed that a pedigree-based method known as the best linear unbiased prediction improved the racing performance of the Thoroughbred population accurately.
  • By using this prediction method, the researchers were able to construct an excellent Thoroughbred horse race population in Korea.

Study’s Conclusions

  • The study concluded that the findings could be utilized to develop an efficient breeding program at the population level.
  • While the study focused on Korean Thoroughbred racehorse populations, the conclusions and methods could potentially be applied to other horse populations.

Cite This Article

APA
Lee J, Shin D, Kim H. (2022). National genomic evaluation of Korean thoroughbreds through indirect racing phenotype. Anim Biosci, 35(5), 659-669. https://doi.org/10.5713/ab.21.0409

Publication

Animal bioscience
ISSN: 2765-0189
NlmUniqueID: 101774366
Country: Korea (South)
Language: English
Volume: 35
Issue: 5
Pages: 659-669

Researcher Affiliations

Lee, Jinwoo
  • Korea Racing Authority (KRA), Gwacheon 13822, Korea.
Shin, Donghyun
  • Department of Agricultural Convergence Technology, Jeonbuk National University, Jeonju 54896, Korea.
Kim, Heebal
  • Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
  • eGnome, Inc., Seoul 05836, Korea.

Grant Funding

  • Korea Racing Authority

Conflict of Interest Statement

. We certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript. Kim H is an employee of eGnome, Inc.

References

This article includes 23 references
  1. Bower MA, Campana MG, Whitten M, Edwards CJ, Jones H, Barrett E, Cassidy R, Nisbet RE, Hill EW, Howe CJ, Binns M. The cosmopolitan maternal heritage of the Thoroughbred racehorse breed shows a significant contribution from British and Irish native mares.. Biol Lett 2011 Apr 23;7(2):316-20.
    doi: 10.1098/rsbl.2010.0800pmc: PMC3061175pubmed: 20926431google scholar: lookup
  2. Park J-E, Lee J-R, Oh S, Lee JW, Oh HS, Kim H. Principal components analysis applied to genetic evaluation of racing performance of Thoroughbred race horses in Korea. Livest Sci 2011;135:293–9.
    doi: 10.1016/j.livsci.2010.07.014google scholar: lookup
  3. Ricard AC, Bruns E, Cunningham E. Genetics of performance traits. In: Bowling AY, Ruvinsky A, editors. The genetics of the horse. Oxford UK: CABI; 2000. pp. 411–38.
  4. Langlois B. Heritability of racing ability in Thoroughbreds—a review. Livest Prod Sci 1980;7:591–605.
    doi: 10.1016/0301-6226(80)90073-1google scholar: lookup
  5. Hintz RL. Genetics of performance in the horse.. J Anim Sci 1980 Sep;51(3):582-94.
    doi: 10.2527/jas1980.513582xpubmed: 7440446google scholar: lookup
  6. Sobczynska M. Selected environmental factors influencing racing time, rank at finish and earnings by Thoroughbreds in Poland. Prace i Materialy Zootechniczne. Monografie i Rozprawy 2003;61:49–59.
  7. Mota MD, Abrahão AR, Oliveira HN. Genetic and environmental parameters for racing time at different distances in Brazilian Thoroughbreds.. J Anim Breed Genet 2005 Dec;122(6):393-9.
    doi: 10.1111/j.1439-0388.2005.00551.xpubmed: 16274423google scholar: lookup
  8. Bakhtiari J, Kashan NEJ. Estimation of genetic parameters of racing performance in Iranian Thoroughbred horses. Livest Sci 2009;120:151–7.
    doi: 10.1016/j.livsci.2008.05.007google scholar: lookup
  9. da Gama MPM, Borquis RRA, de Araújo Neto FR, deOliveira HN, Fernandes GM, da Mota MDS. Genetic parameters for racing performance of Thoroughbred horses using Bayesian linear and Thurstonian models. J Equine Vet Sci 2016;42:39–43.
    doi: 10.1016/j.jevs.2016.03.021google scholar: lookup
  10. Nolte W, Thaller G, Kuehn C. Selection signatures in four German warmblood horse breeds: Tracing breeding history in the modern sport horse.. PLoS One 2019;14(4):e0215913.
    doi: 10.1371/journal.pone.0215913pmc: PMC6483353pubmed: 31022261google scholar: lookup
  11. McKenzie E. Foundations of performance–factors that contribute to excellence in equine exercise. Comp Exerc Physiol 2017;13:127–35.
    doi: 10.3920/CEP170022google scholar: lookup
  12. Lopez BI, Lee SH, Park JE, Shin DH, Oh JD, de Las Heras-Saldana S, van der Werf J, Chai HH, Park W, Lim D. Correction: Weighted Genomic Best Linear Unbiased Prediction for Carcass Traits in Hanwoo Cattle. Genes 2019, 10, 1019.. Genes (Basel) 2020 Aug 27;11(9).
    doi: 10.3390/genes10121019pmc: PMC7563327pubmed: 32867362google scholar: lookup
  13. Castro Dias Cuyabano B, Wackel H, Shin D, Gondro C. A study of genomic prediction across generations of two Korean pig populations. Animals 2019;9:672.
    doi: 10.3390/ani9090672google scholar: lookup
  14. Macedo FL, Christensen OF, Astruc JM, Aguilar I, Masuda Y, Legarra A. Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups.. Genet Sel Evol 2020 Aug 12;52(1):47.
    doi: 10.1186/s12711-020-00567-1pmc: PMC7425573pubmed: 32787772google scholar: lookup
  15. Silva APA, Curi RA, Langlois B, Silva JAHV. Genetic parameters for earnings in Quarter Horse. Genet Mol Res 2014;13:5840–8.
    pubmed: 0
  16. Árnason T, Van Vleck LD. Genetic improvement of the horse. In: Bowling AT, Ruvinsky A, editors. The genetics of the horse. New York, NY, USA: CABI Publishing; 2000. pp. 473–97.
  17. Misztal I, Tsuruta S, Strabel T, Auvray B, Druet T, Lee DH. BLUPF90 and related programs (BGF90). Proceedings of the 7th World Congress on Genetics Applied to Livestock Production 2002 August 19–23; Montpellier, France.
  18. Ojala MJ, Van Vleck LD. Measures of racetrack performance with regard to breeding evaluation of trotters. J Anim Sci 1981;53:611–9.
    doi: 10.2527/jas1981.533611xgoogle scholar: lookup
  19. Ojala M, Van Vleck LD, Quaas R. Factors influencing best annual racing time in Finnish horses. J Anim Sci 1987;64:109–16.
    doi: 10.2527/jas1987.641109xgoogle scholar: lookup
  20. Park K-D. Genetic parameters of finish time in Korean Thoroughbred racehorses. Livest Sci 2011;140:49–54.
    doi: 10.1016/j.livsci.2011.02.006google scholar: lookup
  21. Oki H, Sasaki Y, Willham RL. Genetics of racing performance in the Japanese Thoroughbred horse:: II. Environmental variation of racing time on turf and dirt tracks and the influence of sex, age, and weight carried on racing time.. J Anim Breed Genet 1994 Jan 12;111(1-6):128-37.
    doi: 10.1111/j.1439-0388.1994.tb00446.xpubmed: 21395760google scholar: lookup
  22. Oki H, Sasaki Y. Estimation of genetic trend in racing time of Thoroughbred horse in Japan. Anim Sci Technol (Japan) 1996;67:120–4.
  23. Taveira RZ, Mota MDS, Oliveira HN. Population parameters in Brazilian Thoroughbred. J Anim Breed Genet 2004;121:384–91.
    doi: 10.1111/j.1439-0388.2004.00472.xgoogle scholar: lookup

Citations

This article has been cited 0 times.
Subscribe to our newsletter
Join 99,344 horse owners like you who receive our email updates on horse health and nutrition.