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    <datestamp>2024-04-29 06:40:14</datestamp>
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    <status_changed>2024-04-29 06:40:14</status_changed>
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    <item_issues_count>1</item_issues_count>
    <creators>
      <item>
        <name>
          <family>Hobbs</family>
          <given>Sarah Jane</given>
        </name>
        <id>SJHobbs1@uclan.ac.uk</id>
        <orcid>0000-0002-1552-8647</orcid>
      </item>
      <item>
        <name>
          <family>Tatlisulu</family>
          <given>Altug</given>
        </name>
        <id>atatlisulu@uclan.ac.uk</id>
      </item>
      <item>
        <name>
          <family>Johnson</family>
          <given>Amy</given>
        </name>
        <id>amy.johnson03@ntu.ac.uk</id>
      </item>
      <item>
        <name>
          <family>Rowlands</family>
          <given>Simon</given>
        </name>
        <id>simonrowlands423@gmail.com</id>
      </item>
      <item>
        <name>
          <family>Lucey</family>
          <given>Mark</given>
        </name>
        <id>luceyvet@gmail.com</id>
      </item>
      <item>
        <name>
          <family>Martin</family>
          <given>Jaime</given>
        </name>
        <id>jaime.martin@ntu.ac.uk</id>
      </item>
      <item>
        <name>
          <family>Graydon</family>
          <given>Robert</given>
        </name>
        <id>rwgraydon@uclan.ac.uk</id>
      </item>
      <item>
        <name>
          <family>Northrop</family>
          <given>Alison</given>
        </name>
        <id>alison.northrop@ntu.ac.uk</id>
      </item>
    </creators>
    <title>Unravelling the speed-going relationship: A proof of concept study from British turf flat and jump race meetings</title>
    <subjects>
      <item>C600</item>
      <item>D900</item>
    </subjects>
    <divisions>
      <item>2023sub_AH_S</item>
    </divisions>
    <abstract>The maximum galloping speeds of racehorses during a race are influenced by the functional performance of the ground amongst other factors. For turf racecourses in Britain, the ground is descriptively classified and numerically quantified on the morning of a race meeting by the clerk of the course and subsequently published to assist decision making. Importantly, this includes deciding whether a horse should or should not run.  The going is also assessed and classified during the meeting by racing analysts using the normalized winning times from each race result. Differences between official and performance going assessments are regularly reported, therefore this study aimed to evaluate whether an alternative method of measuring going could better predict going measured from performances. Measurement and performance data from 25 flat and 25 jump meetings were compared using linear and nonlinear models.  The strongest predictors of performance going for all 25 meetings were for flat; cushioning (r2=0.705, P&lt;0.001) and firmness (r2=0.726, P&lt;0.001), and for jump; cushioning (r2 = 0.502, P&lt;0.001). The strongest models were all nonlinear. As cushioning can be compared with the forces that the horse will experience at gallop, this measurement may be a useful addition to include when evaluating racecourse going on race day mornings. For flat racing, evidence from this study suggests that maximum galloping speeds reduce on firm going above a measured cushioning value of 11 kN. Beyond this, the model predicts that horses will slow down, possibly due to changes in limb contact timings to manage limb forces limits.</abstract>
    <id_number>10.17030/uclan.data.00000453</id_number>
    <data_type>dataset</data_type>
    <project_multi>
      <item>
        <project>CASPAP2023-14</project>
        <funder_name>Research Centre for Applied Sport, Physical Activity and Performance</funder_name>
      </item>
    </project_multi>
    <researchclusters>
      <item>2023Inst_BSR</item>
    </researchclusters>
    <cntr1>
      <item>ASPAPrc</item>
    </cntr1>
    <contact_email>rdmsupport@lancashire.ac.uk</contact_email>
    <contact_details>
      <role>Professor of Equine and Human Locomotion</role>
      <name>
        <family>Hobbs</family>
        <given>Sarah Jane</given>
      </name>
      <id>SJHobbs1@uclan.ac.uk</id>
    </contact_details>
    <collection_method>Surface data from 25 flat and 25 jump race meetings were collected using a Vienna Surface tester and moisture meter. The racing line was measured at each racecourse at 250 m intervals on a race day morning. Horse performances were quantified using winning horse finishing times and a time based going allowance was calculated for each race at the meeting. Surface data and horse performance data were compared using linear and non-linear models.</collection_method>
    <legal_ethical>Racecourses involved in the study gave permission to collect measurements using the surface tester (VST) and moisture meter on the morning of each race meeting during the time that the clerk of the course took official going measurements and provided informed consent to use the data for this study. Data used to develop the performance measurements was available in the public domain prior to the commencement of the study.</legal_ethical>
    <collection_date>
      <date_from>2021</date_from>
      <date_to>2023</date_to>
    </collection_date>
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