Literature DB >> 10775469

Blood lactate responses to submaximal field exercise tests in thoroughbred horses.

A L Davie1, D J Evans.   

Abstract

The associations between velocity during a standardized, submaximal 800-m exercise test and blood lactate concentration after exercise were investigated in Thoroughbred racehorses on sand and grass racetracks. Predicted lactate concentrations for each horse's exercise test velocity were calculated from the line of best fit derived from results at each racetrack. The repeatability of the differences between the measured and predicted blood lactate response to exercise was also investigated. Exercise tests were conducted at speeds ranging from 12.8 to 16.6 m/s. The variability of velocity within the exercise test was expressed as the coefficient of variation (CV) of the times for the four 200-m sections.On the sand track, the coefficient of determination for the lactate-speed relationship was highest for an exponential regression equation [lactate (mmol/L) = 0.08e(0.33x)(m/s);r(2)= 0.58, P< 0.05;n = 21]. Similar coefficients of determination were calculated for linear (r(2)= 0.56) and second order polynomial equations (r(2)= 0. 57). On the grass racetrack, the relationship was best described by a second order polynomial equation [lactate (mmol/L) = -0.87x(2)+ 28. 17x - 211.41;r(2)= 0.57, P< 0.05;n = 25]. The mean differences between the measured and predicted blood lactate concentrations in repeated tests were 1.9 +/- 1.8 (SD) and 1.8 +/- 1.7 ( SD) on the sand and grass racetracks. There were no significant associations between the velocity of the exercise and the CV on either racetrack. Differences between measured and predicted blood lactate concentrations, based on track-specific lines of best fit, have potential application in field studies of fitness in Thoroughbred horses. Copyright 2000 Harcourt Publishers Ltd.

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Year:  2000        PMID: 10775469     DOI: 10.1053/tvjl.1999.0420

Source DB:  PubMed          Journal:  Vet J        ISSN: 1090-0233            Impact factor:   2.688


  6 in total

1.  Monitoring training response in young Friesian dressage horses using two different standardised exercise tests (SETs).

Authors:  Cornelis Marinus de Bruijn; Willem Houterman; Margreet Ploeg; Bart Ducro; Berit Boshuizen; Klaartje Goethals; Elisabeth-Lidwien Verdegaal; Catherine Delesalle
Journal:  BMC Vet Res       Date:  2017-02-14       Impact factor: 2.741

2.  Effect of age on heart rate, blood lactate concentration, packed cell volume and hemoglobin to exercise in Jeju crossbreed horses.

Authors:  Ok-Deuk Kang; Yong-Soo Park
Journal:  J Anim Sci Technol       Date:  2017-01-25

3.  Infrared Thermography Correlates with Lactate Concentration in Blood during Race Training in Horses.

Authors:  Olga Witkowska-Piłaszewicz; Małgorzata Maśko; Małgorzata Domino; Anna Winnicka
Journal:  Animals (Basel)       Date:  2020-11-09       Impact factor: 2.752

4.  The Physical Activity-Dependent Hematological and Biochemical Changes in School Horses in Comparison to Blood Profiles in Endurance and Race Horses.

Authors:  Małgorzata Maśko; Małgorzata Domino; Tomasz Jasiński; Olga Witkowska-Piłaszewicz
Journal:  Animals (Basel)       Date:  2021-04-14       Impact factor: 2.752

5.  Monitoring Performance in Show Jumping Horses: Validity of Non-specific and Discipline-specific Field Exercise Tests for a Practicable Assessment of Aerobic Performance.

Authors:  Katharina Kirsch; Christina Fercher; Stephanie Horstmann; Caroline von Reitzenstein; Julia Augustin; Henrike Lagershausen
Journal:  Front Physiol       Date:  2022-01-14       Impact factor: 4.566

6.  Profiling the Aerobic Window of Horses in Response to Training by Means of a Modified Lactate Minimum Speed Test: Flatten the Curve.

Authors:  Lorie De Maré; Berit Boshuizen; Carmen Vidal Moreno de Vega; Constance de Meeûs; Lukas Plancke; Yannick Gansemans; Filip Van Nieuwerburgh; Dieter Deforce; Jean Eduardo de Oliveira; Guilherme Hosotani; Maarten Oosterlinck; Catherine Delesalle
Journal:  Front Physiol       Date:  2022-03-22       Impact factor: 4.566

  6 in total

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