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Validation of triaxial accelerometers to measure the lying behaviour of adult domestic horses

Published online by Cambridge University Press:  02 October 2014

C. DuBois ,
E. Zakrajsek ,
D. B. Haley  and
K. Merkies
C. DuBois
Affiliation:
Department of Animal and Poultry Science, University of Guelph, Stone Rd East, Guelph, ON, Canada N1G 2W1
E. Zakrajsek
Affiliation:
Department of Animal and Poultry Science, University of Guelph, Stone Rd East, Guelph, ON, Canada N1G 2W1
D. B. Haley
Affiliation:
Department of Population Medicine, University of Guelph, Stone Rd East, Guelph, ON, Canada N1G 2W1
K. Merkies*
Affiliation:
Department of Animal and Poultry Science, University of Guelph, Stone Rd East, Guelph, ON, Canada N1G 2W1
*
†E-mail: [email protected]
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Abstract

Examining the characteristics of an animal’s lying behaviour, such as frequency and duration of lying bouts, has become increasingly relevant for animal welfare research. Triaxial accelerometers have the advantage of being able to continuously monitor an animal’s standing and lying behaviour without relying on live observations or video recordings. Multiple models of accelerometers have been validated for use in monitoring dairy cattle; however, no units have been validated for use in equines. This study tested Onset Pendant G data loggers attached to the hind limb of each of two mature Standardbred horses for a period of 5 days. Data loggers were set to record their position every 20 s. Horses were monitored via live observations during the day and by video recordings during the night to compare activity against accelerometer data. All lying events occurred overnight (three to five lying bouts per horse per night). Data collected from the loggers was converted and edited using a macro program to calculate the number of bouts and the length of time each animal spent lying down by hour and by day. A paired t-test showed no significant difference between the video observations and the output from the data loggers (P=0.301). The data loggers did not distinguish standing hipshot from standing square. Predictability, sensitivity, and specificity were all >99%. This study has validated the use of Onset Pendant G data loggers to determine the frequency and duration of standing and lying bouts in adult horses when set to sample and register readings at 20 s intervals.

Keywords

horsesbehaviourbehaviour patternsaccelerometersvalidation
Type
Research Article
Information
animal , Volume 9 , Supplement 1 , January 2015 , pp. 110 - 114
Copyright
© The Animal Consortium 2014 

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References

Arnold, GW 1984. Comparison of the time budgets and circadian patterns of maintenance activities in sheep, cattle and horses grouped together. Applied Animal Behaviour Science 13, 19–30.CrossRefGoogle Scholar
Bertone, JJ 2006. Excessive drowsiness secondary to recumbent sleep deprivation in two horses. Veterinary Clinics Equine Practice 22, 157–162.CrossRefGoogle ScholarPubMed
Caanitz, H, O’Leary, L, Houpt, KA, Petersson, K and Hintz, H 1991. Effect of exercise on equine behaviour. Applied Animal Behaviour Science 31, 1–12.CrossRefGoogle Scholar
Canadian Council on Animal Care 2009. Guidelines on: the care and use of farm animals in research, teaching and testing. CCAC, Ottawa, ON, Canada.Google Scholar
Champion, RA, Rutter, SM and Penning, PD 1997. An automatic system to monitor lying, standing and walking behaviour of grazing animals. Applied Animal Behaviour Science 54, 291–305.CrossRefGoogle Scholar
Chaplin, S and Gretgrix, L 2010. Effect of housing conditions on activity and lying behaviour of horses. Animal 4, 792–795.CrossRefGoogle ScholarPubMed
Dallaire, A and Ruckebusch, Y 1974. Sleep and wakefulness in the housed pony under different dietary conditions. Canadian Journal of Comparative Medicine 38, 65–71.Google ScholarPubMed
de Passillé, AM, Jensen, MB, Chapinal, N and Rushen, J. 2010. Technical note: use of accelerometers to describe gait patterns in dairy calves. Journal of Dairy Science 93, 3287–3293.CrossRefGoogle ScholarPubMed
Duncan, P 1980. Time-budgets of Camargue horses. II. Time-budgets of adult horses and weaned sub-adults. Behaviour 72, 26–49.CrossRefGoogle Scholar
Fader, C and Sambraus, HH 2004. The resting behaviour of horses in loose housing systems. Tierärtzlicke Umschau 59, 320–326.Google Scholar
Hale, LA and Huggins, SE 1980. The electroencephalogram of the normal “grade” pony in sleep and wakefulness. Comparative Biochemistry and Physiology Part A: Physiology 66, 251–257.CrossRefGoogle Scholar
Hampson, BA, Morton, JM, Mills, PC, Trotter, MG, Lamb, DW and Pollitt, CC 2010. Monitoring distances travelled by horses using GPS tracking collars. Australian Veterinary Journal 88, 176–181.CrossRefGoogle ScholarPubMed
Hansen, MN, Estvan, J and Ladewig, J 2007. A note on resting behaviour in horses kept on pasture: rolling prior to getting up. Applied Animal Behavior Science 105, 265–269.CrossRefGoogle Scholar
Houpt, KA, O'Connel, MF, Houpt, TA and Carbonaro, D 1986. Night-time behavior of stabled and pastured peri-parturient ponies. Applied Animal Behaviour Science 15, 103–111.CrossRefGoogle Scholar
Ledgerwood, DN, Winckler, C and Tucker, CB 2010. Evaluation of data loggers, sampling intervals, and editing techniques for measuring the lying behaviour of dairy cattle. Journal of Dairy Science 93, 5129–5139.CrossRefGoogle ScholarPubMed
Martiskainen, P, Järvinen, M, Skön, JP, Tiirikainen, J, Kolehmainen, M and Mononen, J 2009. Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines. Applied Animal Behaviour Science 119, 32–38.CrossRefGoogle Scholar
Pedersen, GR, Sondergaard, E and Ladewig, J 2004. The influence of bedding on the time horses spend recumbent. Journal of Equine Veterinary Science 24, 153–158.CrossRefGoogle Scholar
Raabymagle, P and Ladewig, J 2006. Lying behavior in horses in relation to box size. Journal of Equine Veterinary Science 26, 11–17.CrossRefGoogle Scholar
Strand, SC, Tiefenbacher, S, Haskell, M, Hosmer, T, McDonnell, SM and Freeman, DA 2002. Behavior and physiologic responses of mares to short-term isolation. Applied Animal Behaviour Science 78, 145–157.CrossRefGoogle Scholar
Sweeting, MP, Houpt, CE and Houpt, KA 1985. Social facilitation of feeding and time budgets in stabled ponies. Journal of Animal Science 60, 369–374.CrossRefGoogle ScholarPubMed
Trénel, P, Jensen, MB, Decker, EL and Skjøth, F 2009. Technical note: quantifying and characterizing behavior in dairy calves using the IceTag automatic recording device. Journal of Dairy Science 92, 3397–3401.CrossRefGoogle ScholarPubMed
Watters, ME, Meijer, KM, Barkema, HW, Leslie, KE, von Keyserlingk, MA and Devries, TJ 2013. Associations of herd- and cow-level factors, cow lying behavior, and risk of elevated somatic cell count in free-stall housed lactating dairy cows. Preventive Veterinary Medicine 111, 245–255.CrossRefGoogle ScholarPubMed
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