Using heart rate to predict energy expenditure in large domestic dogs

Summary The aim of this study was to establish heart rate as a measure of energy expenditure in large active kennel dogs (28 ± 3 kg bw). Therefore, the heart rate (HR)–oxygen consumption (V˙O2) relationship was analysed in Foxhound‐Boxer‐Ingelheim‐Labrador cross‐breds (FBI dogs) at rest and graded l...

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Veröffentlicht in:Journal of animal physiology and animal nutrition 2016-06, Vol.100 (3), p.464-470
Hauptverfasser: Gerth, N., Ruoß, C., Dobenecker, B., Reese, S., Starck, J. M.
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container_end_page 470
container_issue 3
container_start_page 464
container_title Journal of animal physiology and animal nutrition
container_volume 100
creator Gerth, N.
Ruoß, C.
Dobenecker, B.
Reese, S.
Starck, J. M.
description Summary The aim of this study was to establish heart rate as a measure of energy expenditure in large active kennel dogs (28 ± 3 kg bw). Therefore, the heart rate (HR)–oxygen consumption (V˙O2) relationship was analysed in Foxhound‐Boxer‐Ingelheim‐Labrador cross‐breds (FBI dogs) at rest and graded levels of exercise on a treadmill up to 60–65% of maximal aerobic capacity. To test for effects of training, HR and V˙O2 were measured in female dogs, before and after a training period, and after an adjacent training pause to test for reversibility of potential effects. Least squares regression was applied to describe the relationship between HR and V˙O2. The applied training had no statistically significant effect on the HR–V˙O2 regression. A general regression line from all data collected was prepared to establish a general predictive equation for energy expenditure from HR in FBI dogs. The regression equation established in this study enables fast estimation of energy requirement for running activity. The equation is valid for large dogs weighing around 30 kg that run at ground level up to 15 km/h with a heart rate maximum of 190 bpm irrespective of the training level.
doi_str_mv 10.1111/jpn.12391
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A general regression line from all data collected was prepared to establish a general predictive equation for energy expenditure from HR in FBI dogs. The regression equation established in this study enables fast estimation of energy requirement for running activity. 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M.</creatorcontrib><title>Using heart rate to predict energy expenditure in large domestic dogs</title><title>Journal of animal physiology and animal nutrition</title><addtitle>J Anim Physiol Anim Nutr</addtitle><description>Summary The aim of this study was to establish heart rate as a measure of energy expenditure in large active kennel dogs (28 ± 3 kg bw). Therefore, the heart rate (HR)–oxygen consumption (V˙O2) relationship was analysed in Foxhound‐Boxer‐Ingelheim‐Labrador cross‐breds (FBI dogs) at rest and graded levels of exercise on a treadmill up to 60–65% of maximal aerobic capacity. To test for effects of training, HR and V˙O2 were measured in female dogs, before and after a training period, and after an adjacent training pause to test for reversibility of potential effects. Least squares regression was applied to describe the relationship between HR and V˙O2. The applied training had no statistically significant effect on the HR–V˙O2 regression. 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subjects Animals
Body Size - physiology
dog
Dogs - physiology
energy expenditure
Energy Metabolism - physiology
exercise
Female
heart rate
Heart Rate - physiology
training
title Using heart rate to predict energy expenditure in large domestic dogs
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