Using heart rate to predict energy expenditure in large domestic dogs

Gerth, N.; Ruoss, C.; Dobenecker, B.; Reese, Sven und Starck, J. M. (Juni 2016): Using heart rate to predict energy expenditure in large domestic dogs. In: Journal of animal physiology and animal nutrition, Bd. 100, Nr. 3: S. 464-470

Abstract

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) over dotO(2)) relationship was analysed in Fox-hound-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) over dotO(2) 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) over dotO(2). The applied training had no statistically significant effect on the HR-(V) over dotO(2) 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.

• Dokumententyp: Zeitschriftenartikel
• Keywords: dog; exercise; training; energy expenditure; heart rate
• Fakultät: Tiermedizin > Veterinärwissenschaftliches Department > Lehrstuhl für Anatomie, Histologie und Embryologie ; Biologie > Department Biologie II
• Themengebiete: 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie ; 500 Naturwissenschaften und Mathematik > 590 Tiere (Zoologie) ; 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 0931-2439
• Sprache: Englisch