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A systematic review of the potential uses of on-animal sensors to monitor the welfare of sheep evaluated using the Five Domains Model as a framework

Published online by Cambridge University Press:  01 January 2023

ES Fogarty ,
DL Swain ,
GM Cronin  and
M Trotter
ES Fogarty*
Affiliation:
CQUniversity Australia, CQIRP (Central Queensland Innovation and Research Precinct), Ibis Avenue, North Rockhampton, QLD 4702, Australia Institute for Future Farming Systems, School of Medical and Applied Sciences, Bruce Highway, North Rockhampton, QLD 4702, Australia
DL Swain
Affiliation:
Institute for Future Farming Systems, School of Medical and Applied Sciences, Bruce Highway, North Rockhampton, QLD 4702, Australia
GM Cronin
Affiliation:
The University of Sydney, Faculty of Science - SOLES, Camden, NSW, Australia
M Trotter
Affiliation:
Institute for Future Farming Systems, School of Medical and Applied Sciences, Bruce Highway, North Rockhampton, QLD 4702, Australia
*
* Contact for correspondence: [email protected]
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Abstract

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This systematic review explores the use of on-animal sensors in sheep and their potential application in objective welfare monitoring. The key questions posed were: To what extent can current scientific knowledge inform a sensor-based approach to welfare evaluations? And, how might this knowledge shape development of commercial monitoring systems? These questions were explored through retrospective classification of published sensor applications using The Five Domains (FD) Model as a framework for animal welfare assessment. A total of 71 studies were reviewed. The results indicate studies specifically evaluating the use of sensors for welfare assessment are limited, though many experiments could still be related to some aspect of welfare. The assessment of sensor utilisation revealed the greatest proportion of applications within the ‘Behaviour’ Domain (90.1%; n = 64), and the lowest within the ‘Health’ (25.4%; n = 18) and ‘Mental state’ Domains (25.4%; n = 18). The review also highlights how different sensor types (location, motion or physiological) differ in their applicability for welfare assessment. This paper is the first to classify published sensor applications using the FD Model as a framework and highlights the potential for sensor technology in sheep welfare monitoring. The results suggest that any attempt to create a commercial sensor-based system for objective welfare assessment will require the integration of more than one sensor type, particularly if multiple Domains are to be addressed.

Keywords

animal welfareFive Domains Modelremote monitoringsensorsheepsystematic review
Type
Articles
Information
Animal Welfare , Volume 28 , Issue 4 , November 2019 , pp. 407 - 420
Copyright
© 2019 Universities Federation for Animal Welfare

References

Alexander, G, Lynch, JJ, Mottershead, BE and Donnelly, JB 1980 Reduction in lamb mortality by means of grass wind-breaks: results of a five-year study. Proceedings of Australian Society of Animal Production 13: 329–332Google Scholar
Alhamada, M, Debus, N, Lurette, A and Bocquier, F 2016 Validation of automated electronic oestrus detection in sheep as an alternative to visual observation. Small Ruminant Research 134:97–104. https://doi.org/10.1016/j.smallrumres.2015.12.032CrossRefGoogle Scholar
Alhamada, M, Debus, N, Lurette, A and Bocquier, F 2017 Automatic oestrus detection system enables monitoring of sexu-al behaviour in sheep. Small Ruminant Research 149: 105–111. https://doi.org/10.1016/j.smallrumres.2017.02.003CrossRefGoogle Scholar
Alvarenga, FAP, Borges, I, Palkovič, L, Rodina, J, Oddy, VH and Dobos, RC 2016 Using a three-axis accelerometer to identify and classify sheep behaviour at pasture. Applied Animal Behaviour Science 181: 91–99. https://doi.org/10.1016/j.applanim.2016.05.026CrossRefGoogle Scholar
Animut, G, Goetsch, AL, Aiken, GE, Puchala, R, Detweiler, G, Krehbiel, CR, Merkel, RC, Sahlu, T, Dawson, LJ, Johnson, ZB and Gipson, TA 2005 Grazing behavior and energy expen-diture by sheep and goats co-grazing grass/forb pastures at three stocking rates. Small Ruminant Research 59: 191–201. https://doi.org/10.1016/j.smallrumres.2005.05.014CrossRefGoogle Scholar
Ares, JO, Dignani, J and Bertiller, MB 2007 Cost analysis of remotely sensed foraging paths in patchy landscapes with plant anti-herbivore defenses (Patagonia, Argentina). Landscape Ecology 22: 1291–1301. https://doi.org/10.1007/s10980-007-9107-5CrossRefGoogle Scholar
Australian Farm Institute 2017 Designing balanced and effective farm animal welfare policies for Australia. http://www.farminstitute.org.au/pub-lications/research_report/animal_welfare.htmlGoogle Scholar
Barkai, D, Landau, S, Brosh, A, Baram, H and Molle, G 2002 Estimation of energy intake from heart rate and energy expenditure in sheep under confinement or grazing condition. Livestock Production Science 73: 237–246. https://doi.org/10.1016/S0301-6226(01)00251-2CrossRefGoogle Scholar
Barwick, J, Lamb, D, Dobos, R, Welch, M and Trotter, M 2018 Categorising sheep activity using a tri-axial accelerometer. Computers and Electronics in Agriculture 145: 289–297. https://doi.org/10.1016/j.compag.2018.01.007CrossRefGoogle Scholar
Betteridge, K, Costall, D, Balladur, S, Upsdell, M and Umemura, K 2010a Urine distribution and grazing behaviour of female sheep and cattle grazing a steep New Zealand hill pasture. Animal Production Science 50: 624–629. https://doi.org/10.1071/AN09201CrossRefGoogle Scholar
Griffiths, W 2010b Sensors for detecting and logging spatial dis-tribution of urine patches of grazing female sheep and cattle. Computers and Electronics in Agriculture 73: 66–73. https://doi.org/10.1016/j.compag.2010.04.005Google Scholar
Blokhuis, HJ, Veissier, I, Miele, M and Jones, B 2010 The Welfare Quality® project and beyond: Safeguarding farm animal well-being. Acta Agriculturae Scandinavica, Section A – Animal Science 60: 129–140. https://doi.org/10.1080/09064702.2010.523480CrossRefGoogle Scholar
Broster, JC, Dehaan, RL, Swain, DL and Friend, MA 2010 Ewe and lamb contact at lambing is influenced by both shelter type and birth number. Animal 4: 796–803. https://doi.org/10.1017/S1751731110000030CrossRefGoogle ScholarPubMed
Broster, JC, Dehaan, RL, Swain, DL, Robertson, SM, King, BJ and Friend, MA 2017 Shelter type and birth number influence the birth and death sites of lambs and ewe movement around lambing time. Journal of Animal Science 95: 81–90. https://doi.org/10.2527/jas.2016.0692Google ScholarPubMed
Broster, JC, Rathbone, DP, Robertson, SM, King, BJ and Friend, MA 2012 Ewe movement and ewe-lamb contact levels in shelter are greater at higher stocking rates. Animal Production Science 52: 502–506. https://doi.org/10.1071/AN11264CrossRefGoogle Scholar
Champion, RA, Rutter, SM and Penning, PD 1997 An auto-matic system to monitor lying, standing and walking behaviour of grazing animals. Applied Animal Behaviour Science 54: 291–305. https://doi.org/10.1016/S0168-1591(96)01210-5CrossRefGoogle Scholar
Coleman, G 2007 Public perceptions of animal pain and animal wel-fare. Proceedings of the Australian Animal Welfare Strategy Science Summit on Pain and Pain Management. 18 May 2007, Melbourne, AustraliaGoogle Scholar
Coulon, M, Nowak, R, Peyrat, J, Chandèze, H, Boissy, A and Boivin, X 2015 Do lambs perceive regular human stroking as pleasant? Behavior and heart rate variability analyses. PLoS One 10: e0118617. https://doi.org/10.1371/journal.pone.0118617CrossRefGoogle ScholarPubMed
Cronin, GM, Beganovic, DF, Sutton, AL, Palmer, DJ, Thomson, PC and Tammen, I 2016 Manifestation of neuronal ceroid lipofuscinosis in Australian Merino sheep: observations on altered behaviour and growth. Applied Animal Behaviour Science 175: 32–40. https://doi.org/10.1016/j.applanim.2015.11.012CrossRefGoogle ScholarPubMed
Dawkins, MS 2017 Animal welfare and efficient farming: is con-flict inevitable? Animal Production Science 57: 201–208. https://doi.org/10.1071/AN15383CrossRefGoogle Scholar
Désiré, L, Veissier, I, Després, G and Boissy, A 2004 On the way to assess emotions in animals: Do lambs (Ovis aries) evaluate an event through its suddenness, novelty, or unpredictability? Journal of Comparative Psychology 118: 363–374. https://doi.org/10.1037/0735-7036.118.4.363CrossRefGoogle ScholarPubMed
Destrez, A, Deiss, V, Belzung, C, Lee, C and Boissy, A 2012 Does reduction of fearfulness tend to reduce pessimistic-like judgment in lambs? Applied Animal Behaviour Science 139: 233–241. https://doi.org/10.1016/j.applanim.2012.04.006CrossRefGoogle Scholar
Destrez, A, Deiss, V, Leterrier, C, Boivin, X and Boissy, A 2013 Long-term exposure to unpredictable and uncontrollable aversive events alters fearfulness in sheep. Animal 7: 476–484. https://doi.org/10.1017/S1751731112001796CrossRefGoogle ScholarPubMed
di Virgilio, A and Morales, JM 2016 Towards evenly distributed grazing patterns: Including social context in sheep management strategies. PeerJ 2016: e2152. https://doi.org/10.7717/peerj.2152CrossRefGoogle Scholar
Dobos, RC, Dickson, S, Bailey, DW and Trotter, MG 2014 The use of GNSS technology to identify lambing behaviour in pregnant grazing Merino ewes. Animal Production Science 54: 1722–1727. https://doi.org/10.1071/AN14297CrossRefGoogle Scholar
Dobos, RC, Taylor, DB, Trotter, MG, McCorkell, BE, Schneider, DA and Hinch, GN 2015 Characterising activities of free-ranging Merino ewes before, during and after lambing from GNSS data. Small Ruminant Research 131: 12–16. https://doi.org/10.1016/j.smallrumres.2015.06.017CrossRefGoogle Scholar
Donovan, EL, Hernandez, CE, Matthews, LR, Oliver, MH, Jaquiery, AL, Bloomfield, FH and Harding, JE 2013 Periconceptional undernutrition in sheep leads to decreased loco-motor activity in a natural environment. Journal of Developmental Origins of Health and Disease 4: 296–299. https://doi.org/10.1017/S2040174413000214CrossRefGoogle Scholar
Doyle, RE, Broster, JC, Barnes, K and Browne, WJ 2016 Temperament, age and weather predict social interaction in the sheep flock. Behavioural Processes 131: 53–58. https://doi.org/10.1016/j.beproc.2016.08.004CrossRefGoogle ScholarPubMed
European Commission 2007 Attitudes of EU citizens towards animal welfare. http://ec.europa.eu/commfrontoffice/publicopin-ion/archives/ebs/ebs_270_en.pdfGoogle Scholar
Falú, EMD, Brizuela, MÁ, Cid, MS, Cibils, AF, Cendoya, MG and Bendersky, D 2014 Daily feeding site selection of cattle and sheep co-grazing a heterogeneous subtropical grassland. Livestock Science 161: 147–157. https://doi.org/10.1016/j.livsci.2013.11.010CrossRefGoogle Scholar
Falzon, G, Schneider, DA, Trotter, MG and Lamb, DW 2013 A relationship between faecal egg counts and the distance trav-elled by sheep. Small Ruminant Research 111: 171–174. https://doi.org/10.1016/j.smallrumres.2012.09.001CrossRefGoogle Scholar
FAWC 2009 Farm animal welfare in Great Britain: Past, Present and Future. https://assets.publishing.service.gov.uk/government/uploads/system/uplo ads/attachment_data/file/319292/Farm_Animal_Welfare_in_Great_Brit ain_-_Past__Present_and_Future.pdfGoogle Scholar
Fogarty, ES, Manning, JK, Trotter, MG, Schneider, DA, Thomson, PC, Bush, RD and Cronin, GM 2015 GNSS technol-ogy and its application for improved reproductive management in extensive sheep systems. Animal Production Science 55: 1272–1280. https://doi.org/10.1071/AN14032CrossRefGoogle Scholar
Fogarty, ES, Swain, DL, Cronin, GM and Trotter, M 2018 Autonomous on-animal sensors in sheep research: A systematic review. Computers and Electronics in Agriculture 150: 245–256. https://doi.org/10.1016/j.compag.2018.04.017CrossRefGoogle Scholar
Fraser, AF and Broom, DM 1990 Farm Animal Behaviour and Welfare. Beilliere Tindall: London, UKGoogle Scholar
Fraser, D, Weary, DM, Pajor, EA and Milligan, BN 1997 A scientific conception of animal welfare that reflects ethical con-cerns. Animal Welfare 6: 187–205Google Scholar
Freire, R, Swain, DL and Friend, MA 2012 Spatial distribution patterns of sheep following manipulation of feeding motivation and food availability. Animal 6: 846–851. https://doi.org/10.1017/S1751731111002126CrossRefGoogle ScholarPubMed
Giovanetti, V, Decandia, M, Molle, G, Acciaro, M, Mameli, M, Cabiddu, A, Cossu, R, Serra, MG, Manca, C, Rassu, SPG and Dimauro, C 2017 Automatic classification system for grazing, ruminating and resting behaviour of dairy sheep using a tri-axial accelerometer. Livestock Science 196: 42–48. https://doi.org/10.1016/j.livsci.2016.12.011CrossRefGoogle Scholar
Gipson, TA, Sahlu, T, Villaquiran, M, Hart, SP, Joseph, J, Merkel, RC and Goetsch, AL 2012 Use of global positioning system collars to monitor spatial-temporal movements of co-grazing goats and sheep and their common guardian dog. Journal of Applied Animal Research 40: 354–369. https://doi.org/10.1080/09712119.2012.692475CrossRefGoogle Scholar
Goddard, PJ, Fawcett, AR, Macdonald, AJ and Reid, HW 2000 The behavioural, physiological and immunological responses of lambs from two rearing systems and two genotypes to expo-sure to humans. Applied Animal Behaviour Science 66: 305–321. https://doi.org/10.1016/S0168-1591(99)00091-XCrossRefGoogle Scholar
Greiveldinger, L, Veissier, I and Boissy, A 2007 Emotional experience in sheep: Predictability of a sudden event lowers sub-sequent emotional responses. Physiology & Behavior 92: 675–683. https://doi.org/10.1016/j.physbeh.2007.05.012CrossRefGoogle Scholar
Haddadi, H, King, AJ, Wills, AP, Fay, D, Lowe, J, Morton, AJ, Hailes, S and Wilson, AM 2011 Determining association net-works in social animals: choosing spatial-temporal criteria and sampling rates. Behavioral Ecology and Sociobiology 65: 1659–1668. https://doi.org/10.1007/s00265-011-1193-3CrossRefGoogle Scholar
Handcock, RN, Swain, DL, Bishop-Hurley, GJ, Patison, KP, Wark, T, Valencia, P, Corke, P and O’Neill, CJ 2009 Monitoring animal behaviour and environmental interactions using wireless sensor networks, GPS collars and satellite remote sensing. Sensors (Basel, Switzerland) 9: 3586–3603. https://doi.org/10.3390/s90503586CrossRefGoogle ScholarPubMed
Hargreaves, AL and Hutson, GD 1990 Changes in heart rate, plasma cortisol and haematocrit of sheep during a shearing pro-cedure. Applied Animal Behaviour Science 26: 91–101. https://doi.org/10.1016/0168-1591(90)90090-ZCrossRefGoogle Scholar
Harris, RB, Samberg, LH, Yeh, ET, Smith, AT, Wenying, W, Junbang, W, Gaerrang, and Bedunah, TLDJ 2016 Rangeland responses to pastoralists’ grazing management on a Tibetan steppe grassland, Qinghai Province, China. Rangeland Journal 38: 1–15. https://doi.org/10.1071/RJ15040CrossRefGoogle Scholar
Hemsworth, PH, Mellor, DJ, Cronin, GM and Tilbrook, AJ 2015 Scientific assessment of animal welfare. New Zealand Veterinary Journal 63: 24–30. https://doi.org/10.1080/00480169.2014.966167CrossRefGoogle ScholarPubMed
Hobbs-Chell, H, King, AJ, Sharratt, H, Haddadi, H, Rudiger, SR, Hailes, S, Morton, AJ and Wilson, AM 2012 Data-loggers carried on a harness do not adversely affect sheep locomotion. Research in Veterinary Science 93: 549–552. https://doi.org/10.1016/j.rvsc.2011.06.007CrossRefGoogle Scholar
Hulbert, IAR, Wyllie, JTB, Waterhouse, A, French, J and McNulty, D 1998 A note on the circadian rhythm and feeding behaviour of sheep fitted with a lightweight GPS collar. Applied Animal Behaviour Science 60: 359–364. https://doi.org/10.1016/S0168-1591(98)00155-5CrossRefGoogle Scholar
Jørgensen NH, Steinheim G and Holand Ø 2016 Area use of two sheep breeds in contrasting summer alpine grazing envi-ronments in southern Norway. Acta Agriculturae Scandinavica A: Animal Sciences 66: 99–105. https://doi.org/10.1080/09064702.2016.1215513Google Scholar
Kaur, M, Wooldridge, AL, Wilkes, MJ, Pitchford, WS, Hynd, PI, McConell, GK and Gatford, KL 2016 Placental restriction in multi-fetal pregnancies increases spontaneous ambulatory activ-ity during daylight hours in young adult female sheep. Journal of Developmental Origins of Health and Disease 7: 525–537. https://doi.org/10.1017/S2040174416000283CrossRefGoogle Scholar
Kawamura, K, Akiyama, T, Yokota, HO, Tsutsumi, M, Yasuda, T, Watanabe, O and Wang, S 2005 Quantifying grazing intensities using geographic information systems and satellite remote sensing in the Xilingol steppe region, Inner Mongolia, China. Agriculture, Ecosystems and Environment 107: 83–93. https://doi.org/10.1016/j.agee.2004.09.008CrossRefGoogle Scholar
King, A 2017 The future of agriculture. Nature 544: S21–S23. https://doi.org/10.1038/544S21aCrossRefGoogle ScholarPubMed
Kuźnicka, E and Gburzyński, P 2017 Automatic detection of suckling events in lamb through accelerometer data classification. Computers and Electronics in Agriculture 138: 137–147. https://doi.org/10.1016/j.compag.2017.04.009CrossRefGoogle Scholar
Lin, L, Dickhoefer, U, Müller, K, Wurina, and Susenbeth, A 2011 Grazing behavior of sheep at different stocking rates in the Inner Mongolian steppe, China. Applied Animal Behaviour Science 129: 36–42. https://doi.org/10.1016/j.applanim.2010.11.002CrossRefGoogle Scholar
Littlewood, EK and Mellor, JD 2016 Changes in the welfare of an injured working farm dog assessed using the Five Domains Model. Animals 6. https://doi.org/10.3390/ani6090058CrossRefGoogle Scholar
Lowe, TE, Cook, CJ, Ingram, JR and Harris, PJ 2001 Impact of climate on thermal rhythm in pastoral sheep. Physiology & Behavior 74: 659–664. https://doi.org/10.1016/S0031-9384(01)00608-4CrossRefGoogle ScholarPubMed
Manning, JK, Fogarty, ES, Trotter, MG, Schneider, DA, Thomson, PC, Bush, RD and Cronin, GM 2014 A pilot study into the use of global navigation satellite system technology to quantify the behavioural responses of sheep during simulated dog predation events. Animal Production Science 54: 1676–1681. https://doi.org/10.1071/AN14221CrossRefGoogle Scholar
McCulloch, S 2013 A critique of FAWC's Five Freedoms as a framework for the analysis of animal welfare. Journal of Agricultural and Environmental Ethics 26: 959–975. https://doi.org/10.1007/s10806-012-9434-7CrossRefGoogle Scholar
McLennan, KM, Skillings, EA, Rebelo, CJB, Corke, MJ, Pires Moreira, MA, Morton, AJ and Constantino-Casas, F 2015 Technical note: Validation of an automatic recording system to assess behavioural activity level in sheep (Ovis aries). Small Ruminant Research 127: 92–96. https://doi.org/10.1016/j.smallrum-res.2015.04.002CrossRefGoogle Scholar
Mellor, DJ 2016a Moving beyond the ‘Five Freedoms’ by updating the ‘Five Provisions’ and introducing aligned ‘Animal Welfare Aims’. Animals 6: 59. https://doi.org/10.3390/ani6100059CrossRefGoogle ScholarPubMed
Mellor, DJ 2016b Updating animal welfare thinking: Moving beyond the ‘Five Freedoms’ towards ‘A Life Worth Living’. Animals 6: 21. https://doi.org/10.3390/ani6030021CrossRefGoogle ScholarPubMed
Mellor, DJ 2017 Operational details of the Five Domains Model and its key applications to the assessment and management of ani-mal welfare. Animals 7(8): 60. https://doi.org/10.3390/ani7080060CrossRefGoogle Scholar
Mellor, DJ and Bayvel, ACD 2008 New Zealand's inclusive sci-ence-based system for setting animal welfare standards. Applied Animal Behaviour Science 113: 313–329. https://doi.org/10.1016/j.applanim.2008.01.010CrossRefGoogle Scholar
Mellor, DJ and Beausoleil, NJ 2015 Extending the ‘Five Domains’ model for animal welfare assessment to incorporate positive welfare states. Animal Welfare 24: 241–253. https://doi.org/10.7120/09627286.24.3.241CrossRefGoogle Scholar
Mellor, DJ and Reid, CSW 1994 Concepts of animal well-being and predicting the impact of procedures on experimental animals. In: Baker, RM, Jenkin, G and Mellor, DJ (eds) Proceedings of the Improving the Well-Being of Animals in the Research Environment pp 3–18. Australian and New Zealand Council for the Care of Animals in Research and Teaching: Glen Osmond, SA, AustraliaGoogle Scholar
Mellor, DJ and Stafford, KJ 2004 Animal welfare implications of neonatal mortality and morbidity in farm animals. The Veterinary Journal 168: 118–133. https://doi.org/10.1016/j.tvjl.2003.08.004CrossRefGoogle ScholarPubMed
Morgan-Davies, C, Morgan-Davies, J, Beaton, I, Kyle, J, Waterhouse, T and McCracken, D 2016 Restocking extensive mountain areas with young ewes-does origin matter? Small Ruminant Research 137: 99–108. https://doi.org/10.1016/j.small-rumres.2016.03.018CrossRefGoogle Scholar
Morris, JE, Cronin, GM and Bush, RD 2012 Improving sheep production and welfare in extensive systems through precision sheep management. Animal Production Science 52: 665–670. https://doi.org/10.1071/AN11097CrossRefGoogle Scholar
Morton, AJ, Rudiger, SR, Wood, NI, Sawiak, SJ, Brown, GC, McLaughlan, CJ, Kuchel, TR, Snell, RG, Faull, RLM and Bawden, CS 2014 Early and progressive circadian abnormalities in Huntington's disease sheep are unmasked by social environ-ment. Human Molecular Genetics 23: 3375–3383. https://doi.org/10.1093/hmg/ddu047CrossRefGoogle Scholar
Munn, AJ, Dawson, TJ, McLeod, SR, Dennis, T and Maloney, SK 2013 Energy, water and space use by free-living red kangaroos Macropus rufus and domestic sheep Ovis aries in an Australian rangeland. Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology 183: 843–858. https://doi.org/10.1007/s00360-013-0741-8CrossRefGoogle Scholar
Munn, AJ, Kalkman, L, Skeers, P, Roberts, JA, Bailey, J and Dawson, TJ 2016 Field metabolic rate, movement distance, and grazing pressures by western grey kangaroos (Macropus fuliginosus melanops) and Merino sheep (Ovis aries) in semi-arid Australia. Mammalian Biology 81: 423–430. https://doi.org/10.1016/j.mam-bio.2016.04.001CrossRefGoogle Scholar
Mysterud, A, Rekdal, Y, Loe, LE, Angeloff, M, Mobæk, R, Holand, Ø and Strand, G-H 2014 Evaluation of landscape-level grazing capacity for domestic sheep in Alpine rangelands. Rangeland Ecology & Management 67: 132–144. https://doi.org/10.2111/REM-D-12-00177.1CrossRefGoogle Scholar
Nadimi, ES, Jørgensen, RN, Blanes-Vidal, V and Christensen, S 2012 Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks. Computers and Electronics in Agriculture 82: 44–54. https://doi.org/10.1016/j.compag.2011.12.008CrossRefGoogle Scholar
Napolitano, F, Girolami, A and Braghieri, A 2010 Consumer liking and willingness to pay for high welfare animal-based prod-ucts. Trends in Food Science & Technology 21: 537–543. https://doi.org/10.1016/j.tifs.2010.07.012CrossRefGoogle Scholar
Norton, T, Piette, D, Exadaktylos, V and Berckmans, D 2018 Automated real-time stress monitoring of police horses using wearable technology. Applied Animal Behaviour Science 198:67–74. https://doi.org/10.1016/j.applanim.2017.09.009CrossRefGoogle Scholar
Ormaechea, S and Peri, P 2015 Landscape heterogeneity influ-ences on sheep habits under extensive grazing management in Southern Patagonia. Livestock Research for Rural Development 27. http://www.Irrd.org/Irrd27/6/orma27105.htmlGoogle Scholar
Penning, PD 1983 A technique to record automatically some aspects of grazing and ruminating behaviour in sheep. Grass and Forage Science 38: 89–96. https://doi.org/10.1111/j.1365-2494.1983.tb01626.xCrossRefGoogle Scholar
Pérez-Barbería, FJ, Small, M, Hooper, RJ, Aldezabal, A, Soriguer-Escofet, R, Bakken, GS and Gordon, IJ 2015 State-space modelling of the drivers of movement behaviour in sym-patric species. PLoS One 10: e0142707. https://doi.org/10.1371/journal.pone.0142707CrossRefGoogle ScholarPubMed
Poletto, R and Hötzel, MJ 2012 The Five Freedoms in the glob-al animal agriculture market: Challenges and achievements as opportunities. Animal Frontiers 2: 22–30. https://doi.org/10.2527/af.2012-0045CrossRefGoogle Scholar
Putfarken, D, Dengler, J, Lehmann, S and Härdtle, W 2008 Site use of grazing cattle and sheep in a large-scale pasture land-scape: A GPS/GIS assessment. Applied Animal Behaviour Science 111: 54–67. https://doi.org/10.1016/j.applanim.2007.05.012CrossRefGoogle Scholar
Radeski, M and Ilieski, V 2017 Gait and posture discrimination in sheep using a tri-axial accelerometer. Animal 11: 1249–1257. https://doi.org/10.1017/S175173111600255XCrossRefGoogle ScholarPubMed
Ralph, C, Hebart, M and Cronin, GM 2018 Enrichment in the sucker and weaner phase altered the performance of pigs in three behavioural tests. Animals 8: 1–15. https://doi.org/10.3390/ani8050074CrossRefGoogle ScholarPubMed
Reefmann, N, Wechsler, B and Gygax, L 2009 Behavioural and physiological assessment of positive and negative emotion in sheep. Animal Behaviour 78: 651–659. https://doi.org/10.1016/j.anbehav.2009.06.015CrossRefGoogle Scholar
Rurak, DW, Fay, S and Gruber, NC 2008 Measurement of rest and activity in newborn lambs using actigraphy: studies in term and preterm lambs. Reproduction, Fertility and Development 20: 418–430. https://doi.org/10.1071/RD07149CrossRefGoogle ScholarPubMed
Rusch, GM, Skarpe, C and Halley, DJ 2009 Plant traits link hypothesis about resource-use and response to herbivory. Basic and Applied Ecology 10: 466–474. https://doi.org/10.1016/j.baae.2009.01.004CrossRefGoogle Scholar
Rutter, SM 2014 Smart technologies for detecting animal welfare status and delivering health remedies for rangeland systems. Scientific and Technical Review of the Office International des Epizooties (Paris) 33: 181–187. https://doi.org/10.20506/rst.33.1.2274CrossRefGoogle ScholarPubMed
Rutter, SM, Beresford, NA and Roberts, G 1997a Use of GPS to identify the grazing areas of hill sheep. Computers and Electronics in Agriculture 17: 177–188. https://doi.org/10.1016/S0168-1699(96)01303-8CrossRefGoogle Scholar
Rutter, SM, Champion, RA and Penning, PD 1997b An auto-matic system to record foraging behaviour in free-ranging rumi-nants. Applied Animal Behaviour Science 54: 185–195. https://doi.org/10.1016/S0168-1591(96)01191-4CrossRefGoogle Scholar
Schlecht, E, Hiernaux, P, Kadaouré, I, Hülsebusch, C and Mahler, F 2006 A spatio-temporal analysis of forage availability and grazing and excretion behaviour of herded and free grazing cattle, sheep and goats in Western Niger. Agriculture, Ecosystems and Environment 113: 226–242. https://doi.org/10.1016/j.agee.2005.09.008CrossRefGoogle Scholar
Simitzis, P, Petrou, M, Demiris, N and Deligeorgis, S 2012 Effect of pre-weaning temporary isolation within different age periods on the early post-weaning behaviour of juvenile lambs. Applied Animal Behaviour Science 141: 43–48. https://doi.org/10.1016/j.applanim.2012.07.004CrossRefGoogle Scholar
Simitzis, PE, Charismiadou, MA, Kotsampasi, B, Papadomichelakis, G, Christopoulou, EP, Papavlasopoulou, EK and Deligeorgis, SG 2009 Influence of maternal undernutrition on the behaviour of juvenile lambs. Applied Animal Behaviour Science 116: 191–197. https://doi.org/10.1016/j.applan-im.2008.09.007CrossRefGoogle Scholar
Swain, DL, Friend, MA, Bishop-Hurley, GJ, Handcock, RN and Wark, T 2011 Tracking livestock using global positioning systems - are we still lost? Animal Production Science 51: 167–175. https://doi.org/10.1071/AN10255CrossRefGoogle Scholar
Taelman, J, Joosen, P, Aerts, JM, Exadaktylos, V and Berckmans, D 2016 Stress level monitoring in car racing -Examples of measurements during races. In: Pezarat Correia, P and Cabri, J (eds) Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support pp 59–62. 7-9 November 2016, Scitepress, Porto, Portugal. https://doi.org/10.5220/0006084500590062CrossRefGoogle Scholar
Tallet, C, Veissier, I and Boivin, X 2006 Does the use of a device to measure heart rate affect the behavioural responses of lambs to humans? Applied Animal Behaviour Science 99: 106–117. https://doi.org/10.1016/j.applanim.2005.10.004CrossRefGoogle Scholar
Taylor, DB, Schneider, DA, Brown, WY, Price, IR, Trotter, MG, Lamb, DW and Hinch, GN 2011 GPS observation of shel-ter utilisation by Merino ewes. Animal Production Science 51: 724–737. https://doi.org/10.1071/AN11025CrossRefGoogle Scholar
Thomas, DT, Wilmot, MG, Alchin, M and Masters, DG 2008 Preliminary indications that Merino sheep graze different areas on cooler days in the Southern Rangelands of Western Australia. Australian Journal of Experimental Agriculture 48: 889–892. https://doi.org/10.1071/EA08061CrossRefGoogle Scholar
Tilbrook, AJ and Ralph, CR 2018 Hormones, stress and the welfare of animals. Animal Production Science 58: 408–415. https://doi.org/10.1071/AN16808CrossRefGoogle Scholar
Tullo, E, Fontana, I, Gottardo, D, Sloth, KH and Guarino, M 2016 Technical note: Validation of a commercial system for the continuous and automated monitoring of dairy cow activity. Journal of Dairy Science 99: 7489–7494. https://doi.org/10.3168/jds.2016-11014CrossRefGoogle ScholarPubMed
Umstätter, C, Waterhouse, A and Holland, JP 2008 An auto-mated sensor-based method of simple behavioural classification of sheep in extensive systems. Computers and Electronics in Agriculture 64: 19–26. https://doi.org/10.1016/j.compag.2008.05.004CrossRefGoogle Scholar
Verbeek, E, Ferguson, D, Quinquet de Monjour, P and Lee, C 2012 Opioid control of behaviour in sheep: Effects of morphine and naloxone on food intake, activity and the affective state. Applied Animal Behaviour Science 142: 18–29. https://doi.org/10.1016/j.applanim.2012.09.001CrossRefGoogle Scholar
Watanabe, N, Sakanoue, S, Kawamura, K and Kozakai, T 2008 Development of an automatic classification system for eating, ruminating and resting behavior of cattle using an accelerom-eter. Grassland Science 54: 231–237. https://doi.org/10.1111/j.1744-697X.2008.00126.xCrossRefGoogle Scholar
Webber, BL, Weber, KT, Clark, PE, Moffet, CA, Ames, DP, Taylor, JB, Johnson, DE and Kie, JG 2015 Movements of domestic sheep in the presence of livestock guardian dogs. Sheep & Goat Research Journal 30: 18–23Google Scholar
Webster, J 2008 Animal Welfare : Limping Towards Eden. Wiley: UKGoogle Scholar
Webster, J 2016 Animal Welfare: Freedoms, Dominions and ‘A Life Worth Living’. Animals 6: 35. https://doi.org/10.3390/ani6060035CrossRefGoogle Scholar
Welfare Quality® Network 2018 Welfare Quality® Network. http://www.welfarequality.net/en-us/home/Google Scholar
Williams, B, Walls, S, Gormally, M, Walsh, M and Sheahan, J 2011 Management considerations for conserving hill areas high-lighted by range analysis of hill sheep. Tearmann 8: 59–75Google Scholar
Williams, B, Walls, S, Walsh, M, Gormally, M and Bleasdale, A 2009 Proposing an efficient indicator of grazer distribution on heterogeneous hill vegetation. Applied Ecology and Environmental Research 7: 341–358. https://doi.org/10.15666/aeer/0704_341358CrossRefGoogle Scholar
Zampaligré, N and Schlecht, E 2018 Livestock foraging behaviour on different land use classes along the semi-arid to sub-humid agro-ecological gradient in West Africa. Environment, Development and Sustainability 20: 731–748. https://doi.org/10.1007/s10668-017-9907-yCrossRefGoogle Scholar
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