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Biology letters2012; 8(4); 678-681; doi: 10.1098/rsbl.2011.1120

Speed, pacing strategy and aerodynamic drafting in Thoroughbred horse racing.

Abstract: Choice of pacing strategy and the benefit of aerodynamic drafting are thought to be key determinants of racing performance. These effects have largely been analysed without reference to final outcome, in small datasets with low temporal resolution, and a focus on human swimming, cycling and running. Here, we determined the position and speed of 44,803 racehorses, once per second, in 3,357 races ranging in length from 1006 to 4225 m (50.9-292.9 seconds duration) using a validated radio tracking system. We find that aerodynamic drafting has a marked effect on horse performance, and hence racing outcome. Furthermore, we demonstrate that race length-dependent pacing strategies are correlated with the fastest racing times, with some horses reaching a maximum speed in excess of 19 m s(-1). The higher speeds seen with certain pacing strategies may arise due to the nature of pack racing itself, or may be a reflection of individual capabilities, that is, corresponding to horses that perform well in roles suited to their 'front-running' or 'chaser' personality traits.
Publication Date: 2012-03-07 PubMed ID: 22399784PubMed Central: PMC3391435DOI: 10.1098/rsbl.2011.1120Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

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.

This research aims to understand the importance of strategic pacing choices and aerodynamic drafting in Thoroughbred horse racing. The data used was obtained from tracking the speed and position of 44,803 racehorses in 3,357 races. The study concludes that both elements play significant roles in determining racing outcomes.

Methods

  • The study analyzed data generated from a validated radio tracking system.
  • The system was used to determine the position and speed of 44,803 racehorses in 3,357 races.
  • Race durations ranged from 50.9 to 292.9 seconds and lengths from 1006 to 4225 m.
  • Data was collected at a rate of once per second from each race.

Results

  • The research revealed that aerodynamic drafting significantly influences horse performance and racing outcomes.
  • It also found that pacing strategies depend on race lengths and are associated with fastest racing times.
  • Some horses were capable of reaching maximum speeds of over 19 m s(-1).

Discussion

  • The higher speeds associated with specific pacing strategies might be influenced by the nature of pack racing or could represent individual abilities.
  • These results suggest that horses may excel in tasks that relate to their inherent ‘front-running’ or ‘chaser’ traits.

Implications

  • This study highlights the importance of strategic pacing and aerodynamic drafting in Thoroughbred horse racing.
  • It may impact training routines, as trainers can focus on developing strategies that increase race performance.
  • The findings can add to the better understanding of factors influencing horse racing outcomes and eventually assist in predicting race results more accurately.

Cite This Article

APA
Spence AJ, Thurman AS, Maher MJ, Wilson AM. (2012). Speed, pacing strategy and aerodynamic drafting in Thoroughbred horse racing. Biol Lett, 8(4), 678-681. https://doi.org/10.1098/rsbl.2011.1120

Publication

ISSN: 1744-957X
NlmUniqueID: 101247722
Country: England
Language: English
Volume: 8
Issue: 4
Pages: 678-681

Researcher Affiliations

Spence, Andrew J
  • Structure and Motion Laboratory, The Royal Veterinary College, University of London, Hatfield AL9 7TA, UK. aspence@rvc.ac.uk
Thurman, Andrew S
    Maher, Michael J
      Wilson, Alan M

        MeSH Terms

        • Animals
        • Behavior, Animal / physiology
        • Biomechanical Phenomena / physiology
        • Competitive Behavior / physiology
        • Computational Biology / methods
        • Horses / physiology
        • Linear Models
        • Running / physiology
        • Time Factors

        References

        This article includes 11 references
        1. Abbiss CR, Laursen PB. Describing and understanding pacing strategies during athletic competition.. Sports Med. 38, 239–252.
          pubmed: 18278984
        2. Tucker R, Lambert MI, Noakes TD. An analysis of pacing strategies during men's world-record performances in track athletics.. Int. J. Sports Physiol. Perform. 1, 233–245.
          pubmed: 19116437
        3. Noakes TD, Lambert MI, Hauman R. Which lap is the slowest? An analysis of 32 world mile record performances.. Br. J. Sports Med. 43, 760–764.
        4. Abbiss CR, Laursen PB. Models to explain fatigue during prolonged endurance cycling.. Sports Med. 35, 865–898.
          pubmed: 16180946
        5. St Clair Gibson A, Lambert EV, Rauch R, Tucker DA, Baden C, Foster C, Noakes TD. The role of information processing between the brain and peripheral physiological systems in pacing and perception of effort.. Sports Med. 36, 705–722.
          pubmed: 16869711
        6. Olds T. The mathematics of breaking away and chasing in cycling.. Eur. J. Appl. Physiol. 77, 492–497.
          pubmed: 9650732
        7. Chatard JC, Wilson B. Drafting distance in swimming.. Med. Sci. Sports Exer. 35, 1176–1181.
          pubmed: 12840639
        8. Davies CT. Effects of wind assistance and resistance on the forward motion of a runner.. J. Appl. Physiol. 48, 702–709.
          pubmed: 7380693
        9. Spence AJ, Tan H, Wilson A. Accuracy of the TurfTrax Racing Data System for determination of equine speed and position.. Equine Vet. J. 40, 680–683.
        10. Pfau T, Witte TH, Wilson AM. Centre of mass movement and mechanical energy fluctuation during gallop locomotion in the Thoroughbred racehorse.. J. Exp. Biol. 209, 3742–3757.
          doi: 10.1242/jeb.02439doi: 10.1242/jeb.02439pubmed: 16985191google scholar: lookup
        11. Sih A, Bell A, Johnson JC. Behavioral syndromes: an ecological and evolutionary overview.. Trends Ecol. Evol. 19, 372–378.

        Citations

        This article has been cited 14 times.
        1. Takahashi K, Mukai K, Ebisuda Y, Sugiyama F, Yoshida T, Hatta H, Kitaoka Y. Effects of pacing strategy on metabolic responses to 2-min intense exercise in Thoroughbred horses. Sci Rep 2024 Aug 7;14(1):18352.
          doi: 10.1038/s41598-024-69339-xpubmed: 39112781google scholar: lookup
        2. Yan X, Wang X, Zhao Y, Zhu Q, Yang L, Li Z. Collective decision-making and spatial patterns in orientation of an endemic ungulate on the Tibetan Plateau. Curr Zool 2024 Feb;70(1):45-58.
          doi: 10.1093/cz/zoad004pubmed: 38476135google scholar: lookup
        3. Morrice-West AV, Hitchens PL, Walmsley EA, Tasker K, Lim SL, Smith AD, Whitton RC. Relationship between Thoroughbred workloads in racing and the fatigue life of equine subchondral bone. Sci Rep 2022 Jul 7;12(1):11528.
          doi: 10.1038/s41598-022-14274-ypubmed: 35798766google scholar: lookup
        4. Araneda OF. Horse Racing as a Model to Study the Relationship between Air Pollutants and Physical Performance. Animals (Basel) 2022 Apr 28;12(9).
          doi: 10.3390/ani12091139pubmed: 35565565google scholar: lookup
        5. Horan K, Coburn J, Kourdache K, Day P, Harborne D, Brinkley L, Carnall H, Hammond L, Peterson M, Millard S, Pfau T. Influence of Speed, Ground Surface and Shoeing Condition on Hoof Breakover Duration in Galloping Thoroughbred Racehorses. Animals (Basel) 2021 Sep 3;11(9).
          doi: 10.3390/ani11092588pubmed: 34573553google scholar: lookup
        6. Etienne C, Houssaye A, Hutchinson JR. Limb myology and muscle architecture of the Indian rhinoceros Rhinoceros unicornis and the white rhinoceros Ceratotherium simum (Mammalia: Rhinocerotidae). PeerJ 2021;9:e11314.
          doi: 10.7717/peerj.11314pubmed: 34026351google scholar: lookup
        7. Babault N, Paizis C, Trimble M, Trimble DA, Cometti C. Pacing and Positioning Strategies During an Elite Fixed-Gear Cycling Criterium. Front Sports Act Living 2020;2:586568.
          doi: 10.3389/fspor.2020.586568pubmed: 33345156google scholar: lookup
        8. Mercier Q, Aftalion A. Optimal speed in Thoroughbred horse racing. PLoS One 2020;15(12):e0235024.
          doi: 10.1371/journal.pone.0235024pubmed: 33264298google scholar: lookup
        9. Usherwood JR, Gladman NW. Why are the fastest runners of intermediate size? Contrasting scaling of mechanical demands and muscle supply of work and power. Biol Lett 2020 Oct;16(10):20200579.
          doi: 10.1098/rsbl.2020.0579pubmed: 33023380google scholar: lookup
        10. Self Davies ZT, Spence AJ, Wilson AM. External mechanical work in the galloping racehorse. Biol Lett 2019 Feb 28;15(2):20180709.
          doi: 10.1098/rsbl.2018.0709pubmed: 30958128google scholar: lookup
        11. Portugal SJ, Hubel TY, Fritz J, Heese S, Trobe D, Voelkl B, Hailes S, Wilson AM, Usherwood JR. Upwash exploitation and downwash avoidance by flap phasing in ibis formation flight. Nature 2014 Jan 16;505(7483):399-402.
          doi: 10.1038/nature12939pubmed: 24429637google scholar: lookup
        12. Wilson JW, Mills MG, Wilson RP, Peters G, Mills ME, Speakman JR, Durant SM, Bennett NC, Marks NJ, Scantlebury M. Cheetahs, Acinonyx jubatus, balance turn capacity with pace when chasing prey. Biol Lett 2013 Oct 23;9(5):20130620.
          doi: 10.1098/rsbl.2013.0620pubmed: 24004493google scholar: lookup
        13. Wilson AM, Lowe JC, Roskilly K, Hudson PE, Golabek KA, McNutt JW. Locomotion dynamics of hunting in wild cheetahs. Nature 2013 Jun 13;498(7453):185-9.
          doi: 10.1038/nature12295pubmed: 23765495google scholar: lookup
        14. West TG, Toepfer CN, Woledge RC, Curtin NA, Rowlerson A, Kalakoutis M, Hudson P, Wilson AM. Power output of skinned skeletal muscle fibres from the cheetah (Acinonyx jubatus). J Exp Biol 2013 Aug 1;216(Pt 15):2974-82.
          doi: 10.1242/jeb.083667pubmed: 23580727google scholar: lookup