Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-23T16:33:06.670Z Has data issue: false hasContentIssue false

A pilot study investigating the relationship between perceived and actual workload and estimated energy intake in riding centre horses

Published online by Cambridge University Press:  01 February 2007

H Dekker*
Affiliation:
Hartpury College, Hartpury, Gloucester, Gloucestershire, GL19 3BE, UK
D Marlin
Affiliation:
University of Bristol, Bristol, UK
L Alexander
Affiliation:
Equine Studies Group, WALTHAM Centre for Pet Nutrition, Melton Mowbray, Leicestershire, UK
R Bishop
Affiliation:
SPILLERS, Milton Keynes, Northants, UK
P Harris
Affiliation:
Equine Studies Group, WALTHAM Centre for Pet Nutrition, Melton Mowbray, Leicestershire, UK
*
*Corresponding author: hieke.dekker@hartpury.ac.uk
Get access

Abstract

Feeding regimens for horses are usually based on perceived workload (PW) together with body condition. This can lead to inappropriate energy intake and, in particular, excess weight. Therefore, a more detailed understanding of the factors influencing individual energy needs under practical field conditions would be valuable. The purpose of this study was to evaluate to what extent the variations in actual versus PW may influence the estimated energy intake required to maintain body weight (BW) in individual animals. Eight mature, experienced riding school horses, chosen at random and maintaining a constant BW, were observed in standard flat work lessons with four different instructors at an equine training college. Heart rate (HR) and the structure of the lessons were recorded. Relative workload (RW) was determined for each horse by dividing its average HR per lesson by its estimated maximum HR (HRmax). PW was estimated by each instructor for each horse using a scale of 1–5. One-way ANOVA and t-test were used to determine the differences and Spearman's and Pearson's correlations were used to determine the correlations. The mean estimated RW was 39.1% of the estimated HRmax ( ± 5.7%) and was not significantly different between instructors (P>0.05). Rider weight as a percentage of BW showed a weak but statistically significant positive correlation with mean HR (r2 = 0.14, P < 0.05). Estimated energy intake was negatively correlated with BCS (r2 = 0.65, P < 0.001) and differed significantly (P < 0.05) between light (BW = 455–532 kg) horses (mean 0.18 ± 0.04 MJ kg− 1 BW) and heavy (BW = 622–660 kg) horses (mean 0.15 ± 0.03 MJ kg− 1 BW). No difference was found in estimated energy intake between different workloads (flat work only or flat work and jumping) (P>0.05). When BW was compared with estimated energy intake, no relation was found either (P>0.05). These results suggest that the amount of energy needed to maintain BW in individual horses cannot necessarily be estimated simply on the basis of the intensity and the duration of structured exercise. Other factors including age, individual digestive and metabolic efficiency, body condition and possibly the energy utilized through non-structured activity (e.g. box walking) may need to be taken into account.

Type
Short Communication
Copyright
Copyright © Cambridge University Press 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1Harris, PA (1997). Energy sources and requirements of the exercising horse. Annual Review of Nutrition 17: 185210.CrossRefGoogle ScholarPubMed
2Harris, PA and Kronfeld, DS (2003). Influence of dietary energy sources on health and performance. In: Robinson, NE (ed.), Current Therapy in Equine Medicine 5. Philadelphia: W.B. Saunders Co., pp. 698704.CrossRefGoogle Scholar
3Harris, PA and Stewart, I (2005). Weight control and management. In: Harris, PA, Mair, TS, Slater, JD and Green, RE (eds), Proceedings of the 1st BEVA & Waltham Nutrition Symposia. Newmarket: Equine Veterinary Journal Ltd, pp. 99104.Google Scholar
4Wilson, JH and Fitzpatrick, DA (2004). How to manage starved horses and effectively work with humane and law enforcement officials. In: Proceedings of the 50th Annual Convention of the American Association of Equine Practitioners. Kentucky: American Association of Equine Practitioners, pp. 428432.Google Scholar
5Kerrigan, RH (1994). Practical Horse Nutrition. 3rd edn. Maitland: McPherson's Printing Group, pp. 323.Google Scholar
6Hoffman, RM, Boston, RC, Stefanovski, D, Kronfeld, DS and Harris, PA (2003). Obesity and diet affect glucose dynamics and insulin sensitivity in Thoroughbred geldings. Journal of Animal Science 81: 23332342.CrossRefGoogle ScholarPubMed
7Hammond, A (2004). Management of equine hyperlipaemia. In Practice 26: 548–554.CrossRefGoogle Scholar
8National Research Council, (1989). Nutrient requirements of horses. 5th edn. Washington DC: National Academic Press, pp. 79.Google Scholar
9Hintz, HF and Cymbaluk, NF (1994). Nutrition of the horse. Annual Review of Nutrition 14: 243–267.CrossRefGoogle ScholarPubMed
10Anderson, CE, Potter, GD, Kreider, JL and Courtney, CC (1983). Digestible energy requirements for exercising horses. Journal of Animal Science 56: 9195.CrossRefGoogle ScholarPubMed
11Persson, SGB (1983). Evaluation of exercise tolerance and fitness in the performance horse. In: Snow, DH, Persson, SGB and Rose, RJ (eds), Equine Exercise Physiology. Proceedings of the First International Conference. Cambridge: Granta Editions, pp. 441459.Google Scholar
12Evans, DL (1985). Cardiovascular adaptations to exercise and training. Veterinary Clinics of North America: Equine Practice 1: 513531.Google Scholar
13Physick-Sheard, PW (1985). Cardiovascular response to exercise and training in the horse. Veterinary Clinics of North America: Equine Practice 1: 383–417.Google ScholarPubMed
14Serrano, MG, Evans, DL and Hodgson, JL (2002). Heart rate and blood lactate responses during exercise in preparation for eventing competition. Equine Veterinary Journal Supplement 34: 135–139.CrossRefGoogle Scholar
15Rose, RJ and Evans, DL (1987). Cardiovascular and respiratory function in the athletic horse. In: Gillespie, JR and Robinson, NE (eds), Equine Exercise Physiology 2. Davis: ICEEP Publications, pp. 1–24.Google Scholar
16Littlejohn, A, Kruger, JM and Bowles, F (1977). Exercise studies in horses 2. The cardiac response to exercise in normal horses and in horses with chronic obstructive pulmonary disease. Equine Veterinary Journal 9: 75–83.CrossRefGoogle ScholarPubMed
17Hall, MC, Steel, JD and Stewart, GA (1976). Cardiac monitoring during exercise tests in the horse. Australian Veterinary Journal 52: 15.CrossRefGoogle ScholarPubMed
18White, SL, Williamson, LH, Maykuth, PL, Cole, SP and Andrews, FM (1995). Heart rate response and plasma lactate concentrations of horses competing in the speed and endurance phase of 3-day combined training events. Equine Veterinary Journal Supplement 20: 52–56.CrossRefGoogle Scholar
19Thayer, JF, Hahn, AW, Pearson, MA, Sollers, JJ III, Johnson, PJ and Loch, WE (1997). Heart rate variability during exercise in the horse. Biomedical Sciences Instrumentation 34: 246251.Google ScholarPubMed
20Sampson, SN, Tucker, RL and Bayly, WM (1999). Relationship between VO2max, heart score and echocardiographic measurements obtained at rest and immediately following maximal exercise in Thoroughbreds. Equine Veterinary Journal Supplement 30: 190194.CrossRefGoogle Scholar
21Henneke, DR, Potter, GD, Kreider, JL and Yeates, BF (1983). Relationship between condition score, physical measurement and body fat percentage in mares. Equine Veterinary Journal 15: 371372.CrossRefGoogle ScholarPubMed
22Kienzle, E and Schramme, SC (2004). Beurteilung des ernährungszustandes mittels body condition scores und Gewichtsschätzung beim adulten warmblutpferd. Pferdeheilkunde 20: 517524.CrossRefGoogle Scholar
23Auty, I (2004). The BHS Training Manual for Stage 2. Buckingham: Kenilworth Press, pp. 128.Google Scholar
24Vincent, TL, Newton, JR, Deaton, CM, Franklin, SH, Biddick, T, McKeever, KH, McDonough, P, Young, LE, Hodgson, DR and Marlin, DJ (2006). A retrospective study of predictive variables for maximal heart rate (HRmax) in horses undergoing strenuous treadmill exercise. Equine Veterinary Journal Supplement 36: 146–152.CrossRefGoogle Scholar
25Petrie, A and Watson, P (1999). Statistics for Veterinary and Animal Science. Oxford: Blackwell Publishing, pp. 243.Google Scholar
26Clayton, HM (1989). Time-motion analysis in equestrian sports: the grand prix dressage test. In: Royer, MG (ed.), Proceedings of the 35th Annual Convention of American Association of Equine Practitioners. Kentucky: American Association of Equine Practitioners, pp. 367–373.Google Scholar
27Pagan, JD and Hintz, HF (1986). Equine energetics. 1. Relationship between body weight and energy requirements in horses. Journal of Animal Science 63: 815821.Google Scholar
28Pagan, JD and Hintz, HF (1986). Equine expenditure in horses during submaximal exercise. Journal of Animal Science 63: 822830.CrossRefGoogle ScholarPubMed
29Cymbaluk, NF and Christison, I (1990). Environmental effects on thermoregulation and nutrition of horses. Veterinary Clinics of North America: Equine Practice 6: 355372.Google Scholar
30Martin-Rosset, W and Vermorel, M (1991). Maintenance energy requirement variations determined by indirect calorimetry and feeding trials in light horses. Journal of Equine Veterinary Science 11: 42–45.Google Scholar
31Morgan, EKM (1995). Climatic energy demand of horses. Equine Veterinary Journal Supplement 18: 396–399.CrossRefGoogle Scholar
32Bishop, R (2006). Personal communication. June 2006.Google Scholar
33Morgan, K (1997). Effects of short-term changes in ambient air temperature or altered insulation in horses. Journal of Thermal Biology 22: 187–194.Google Scholar
34Levine, JA, Eberhard, NL and Jensen, MD (1999). Role of nonexercise activity thermogenesis in resistance to fat gain in humans. Science 283: 212–214.CrossRefGoogle ScholarPubMed