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Validation of a pedometer algorithm as a tool for evaluation of locomotor behaviour in dairy Mediterranean buffalo

  • Luigi D'Andrea (a1), Jacopo Guccione (a1), Maher Alsaaod (a2), Ramona Deiss (a2), Antonio Di Loria (a3), Adrian Steiner (a2) and Paolo Ciaramella (a1)...
Abstract

This research communication validates an algorithm to monitor natural occurrence of locomotor behaviours in dairy Mediterranean buffalo based on the output of a 3-dimensional accelerometer (RumiWatch®, pedometer). Several characteristics of the locomotor behaviour were detected with a very high (up-right, lying and standing time) or high degree of correlation (walking time and number of strides) and a low mean difference with the video recording. The proportion of correctly detected events exceeded 99 % for the following variables: stand up and lie down events, as well as number of lying, standing or walking bouts. The mean relative measurement error was less than 10 % for the variables: lying, standing, up-right times and number of strides as compared with gold standard. This new algorithm may represent the base for a future early and real-time disease warning system aiming to gain higher health standard in these ruminants.

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*For correspondence; e-mail: jacopo.guccione@unina.it
References
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Alsaaod, M, Niederhauser, JJ, Beer, G, Zehner, N, Schuepbach-Regula, G & Steiner, A 2015 Development and validation of a novel pedometer algorithm to quantify extended characteristics of the locomotor behavior of dairy cows. Journal of Dairy Science 98 62366242
Alsaaod, M, Luternauer, M, Hausegger, T, Kredel, R & Steiner, A 2017 The cow pedogram-analysis of the gait cycle variables allows the detection of lameness and foot pathologies. Journal of Dairy Science 100 14171426
Beer, G, Alsaaod, M, Starke, A, Schuepbach-Regula, G, Müller, H, Kohler, P & Steiner, A 2016 Use of extended characteristics of locomotion and feeding behavior for automated identification of lame dairy cows. PLoS ONE 11(5) e0155796
Guccione, J, Cosandey, A, Pesce, A, Di Loria, A, Pascale, M, Piantedosi, D, Steiner, A, Graber, HU & Ciaramella, P 2014 Clinical outcomes and molecular genotyping of Staphylococcus aureus isolated from milk samples of dairy primiparous Mediterranean buffaloes (Bubalus bubalis). Journal of Dairy Science 97 76067613
Guccione, J, Perreten, V, Steiner, A, Thomann, A, Pesce, A, Ciaramella, P & Bodmere, M 2016 a Short communication: role of Streptococcus pluranimalium in Mediterranean buffaloes (Bubalus bubalis) with different udder health statuses. Journal of Dairy Science 99 29452949
Guccione, J, Carcasole, C, Alsaaod, M, D'Andrea, L, Di Loria, A, De Rosa, A, Ciaramella, P & Steiner, A 2016 b Assessment of foot health and animal welfare: clinical findings in 229 dairy Mediterranean Buffaloes (Bubalus bubalis) affected by foot disorders. BMC Veterinary Research 12 107
Guccione, J, Pesce, A, Pascale, M, Salzano, C, Tedeschi, G, D'Andrea, L, De Rosa, A & Ciaramella, P 2017 Efficacy of a polyvalent mastitis vaccine against Staphylococcus aureus on a dairy Mediterranean buffalo farm: results of two clinical field trials. BMC Veterinary Research 13 29
Rutten, CJ, Velthuis, AG, Steeneveld, W & Hogeveen, H 2013 Invited review: sensors to support health management on dairy farms. Journal of Dairy Science 96 19281952
Smith, MW, Ma, J & Stafford, RS 2010 Bar charts enhance Bland–Altman plots when value ranges are limited. Journal of Clinical Epidemiology 63 180
Trenel, P, Jensen, MB, Decker, EL & Skjoth, F 2009 Technical note: quantifying and characterizing behavior in dairy calves using the IceTag automatic recording device. Journal of Dairy Science 92 33973401
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Journal of Dairy Research
  • ISSN: 0022-0299
  • EISSN: 1469-7629
  • URL: /core/journals/journal-of-dairy-research
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