Reproducibility of the blood lactate-running speed curve in horses under field conditions.
Abstract: To examine the reproducibility of blood lactate-running speed curve parameters derived by a curve-fit equation and by linear interpolation from the results of 4-speed tests of sport horses under field conditions. Methods: Thoroughbreds completed 10 test pairs with 3 to 11 days between tests and retest. Methods: 7 Thoroughbreds. Methods: The 4-speed test consisted of 4 runs over a distance of 2,110 m. Exercise intensity was increased by 1 m/s for each run. Blood lactate concentration measured after each run was plotted against running speed to determine the blood lactate-running speed relation. By means of the blood lactate-running speed relation, velocity inducing 2, 2.5, 3, 3.5, or 4 mM blood lactate concentration was calculated by a curve-fit equation and by linear interpolation. Results: The test-retest correlation coefficient of velocity inducing 2, 2.5, 3, 3.5, and 4 mM blood lactate concentration determined by curve-fit equation was 0.67, 0.78, 0.84, 0.86, and 0.86, respectively, and by linear interpolation was 0.42, 0.58, 0.77, 0.87, and 0.78, respectively. But the test-retest regression was equal to the line of identity only for velocity inducing 3.5 and 4 mM blood lactate concentration. Conclusions: The reproducibility of velocity inducing 3.5 and 4 mM blood lactate concentration was sufficient to be used to compare horses and evaluate conditioning effects. This holds both methods of calculation of the parameters derived from the blood lactate-running speed relation.
Publication Date: 1996-07-01 PubMed ID: 8807022
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- Journal Article
Summary
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The research explores the consistency of parameters obtained from the blood lactate-running speed curve of sport horses, utilizing two methods of calculation: a curve-fit equation and linear interpolation. Findings showed the highest reproducibility at velocity inducing 3.5 and 4 mM blood lactate concentration, establishing its appropriateness in comparing horses and evaluating conditioning effects.
Goal of the Study
- The aim of this research was to study the reproducibility of blood lactate-running speed curve parameters in sport horses. The curve parameters were obtained using two methods: a curve-fit equation and linear interpolation.
Methodology
- Thoroughbreds were subject to a 4-speed test, consisting of four runs over 2,110 meters. The intensity of the exercise increased by 1 meter/second for each run.
- After each run, blood lactate concentration was measured and plotted against the running speed, establishing the blood lactate-running speed relation.
- This relation was used to calculate the velocity inducing 2, 2.5, 3, 3.5, or 4 mM blood lactate concentration by a curve-fit equation and by linear interpolation.
Results
- The analysis revealed that the correlation between the test-retest of velocity at varying levels of blood lactate concentrations was significant. The correlation was most reliable at the highest blood lactate concentrations using both calculation methods.
- The reproducibility was best for velocity inducing 3.5 and 4 mM blood lactate concentration, as the test-retest regression matched the identity line in these cases.
Conclusions
- This research concluded that the reproducibility of velocity inducing 3.5 and 4 mM blood lactate concentration is strong enough to be used for comparing horses and assessing conditioning effects. This conclusion applies to both methods used to calculate parameters from the blood lactate-running speed relation.
Cite This Article
APA
Guhl A, Lindner A, von Wittke P.
(1996).
Reproducibility of the blood lactate-running speed curve in horses under field conditions.
Am J Vet Res, 57(7), 1059-1062.
Publication
Researcher Affiliations
- Institut für Anatomie Physiologie und Hygiene der Haustiere, Katzenburgweg, Germany.
MeSH Terms
- Animals
- Female
- Horses / physiology
- Lactates / blood
- Male
- Models, Biological
- Physical Conditioning, Animal
- Physical Exertion
- Regression Analysis
- Reproducibility of Results
- Running
- Time Factors
Citations
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