https://doi.org/10.4081/jae.2021.1155
Measuring oxygen saturation and pulse rate in dairy cows before and after machine milking using a low-cost pulse oximeter
Published: 14 May 2021
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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The present study was aimed at measuring the haemoglobin oxygen saturation and the pulse rate on dairy cow teats before and after milking, using a bespoke low-cost pulse oximeter. The pulse oximeter was tested in a three-day field test involving 18 Holstein Friesian cows raised in a commercial farm located in Northern Italy. The results highlighted a significant difference both in haemoglobin oxygen saturation (SpO2) and pulse rate before and after milking in the entire sample of animals. By dividing the sample according to the milking time (fast <8 min and slow >8 min), a significant difference between fast and slow cows was observed for SpO2, whilst no difference was identified in relation to their lactation stage [<70 days in milking (DIM) and 71-140 DIM]. As to the pulse rate, milking time and lactation stage were not significantly different. This confirms that machine milking can create stress to the teat causing tissue circulatory impairment and pulse oximetry could be useful for detecting machine milking-induced alterations of teats. In the future, the pulse oximeter could be used as part of a milking machine monitoring system in order to change operating parameters to minimize the mechanical stress on the teats.
Bleul U., Kahn W. 2008. Monitoring the bovine fetus during stage II of parturition using pulse oximetry. Theriogenology 69:302-11.
DOI: https://doi.org/10.1016/j.theriogenology.2007.09.033
Coghe J., Uystepruyst C., Bureau F., Lekeux P. 1999. Non-invasive assessment of arterial haemoglobin oxygen saturation in cattle by pulse oximetry. Vet. Rec. 145:666-9.
Detry B., Cambier C., Frans A., Gustin P., Clerbaux T. 2003. Calculation of bovine haemoglobin oxygen saturation by algorithms integrating age, haemoglobin content, blood pH, partial pressures of oxygen and carbon dioxide in the blood, and temperature. Vet. J. 165:258-65.
DOI: https://doi.org/10.1016/S1090-0233(02)00167-3
Dhand N.K., Khatkar M.S. 2014. Statulator: an online statistical calculator. Available from: http://statulator.com
Grosenbaugh D.A., Alben J.O., Muir W.W. 2007. Absorbance spectra of inter-species hemoglobins in the visible and near infrared regions. J. Vet. Emerg. Crit. Care. 7:36-42.
DOI: https://doi.org/10.1111/j.1476-4431.1997.tb00042.x
Hamann J., Burvenich C., Mayntz M., Osteras O., Haider W. 1994. Machine-induced changes in the status of the bovine teat with respect to the new infection risk. Teat Tissue Reactions to Machine Milking and new Infection Risk. Bull. Int. Dairy Feder. 297:13-22.
Hamann J., Mein G.A. 1988. Responses of the bovine teat to machine milking: measurement of changes in thickness of the teat apex. J. Dairy Res. 55:331-8.
DOI: https://doi.org/10.1017/S0022029900028582
Hamann J., Mein G.A. 1996. Teat thickness changes may provide biological test for effective pulsation. J. Dairy Res. 63:179-89.
DOI: https://doi.org/10.1017/S002202990003168X
Hillerton J.E., Ohnstad I., Baines J.R., Leach K.A. 2000. Changes in cow teat tissue created by two types of milking cluster. J. Dairy Res. 67:309-17.
DOI: https://doi.org/10.1017/S0022029900004283
Hopster H., van der Werf J.T.N, Blokhuis J.H. 1998. Side preference of dairy cows in the milking parlour and its effects on behaviour and heart rate during milking. Appl. Anim. Behav. Sci. 55:213-29.
DOI: https://doi.org/10.1016/S0168-1591(97)00064-6
Junga P., Travnicek P., Ruzbarsky J. 2016. Monitoring of the machine milking process with application of infrared thermography. MM Sci. J. 2016:985-9.
DOI: https://doi.org/10.17973/MMSJ.2016_09_201652
Kanz P., Krieger S., Drillich M., Iwersen M. 2018. Technical note: evaluation of a wireless pulse oximeter for measuring arterial oxygen saturation and pulse rate in newborn Holstein Friesian calves. J. Dairy Sci. 101:6437-42.
DOI: https://doi.org/10.3168/jds.2017-14266
Kuchler K. 2011. Investigation of the effects of milking on the teat tissue and the teat blood flow using ultrasonographic scanning and color angiography [Der Einfluss des Melkens auf Durchblutung und Morphologie der Rinderzitze untersucht mittels Color Angiographie und B-Mode Sonographie]. In Zentrum für Klinische Tiermedizin der Tierärztlichen Fakultät. Vol. Dr. Vet. Med. Ludwig-Maximilians-Universität München, Munich.
Maltz E., Reinemann D.J., Davis M.A. 2000. Blood flow and oxygen concentration of teat-end tissue before and after machine milking, ASAE annual International Meeting, Milwaukee, WI, USA, Paper No. 003012.
Odorcić M., Rasmussen M.D., Paulrud C.O., Bruckmaier R.M. 2019. Milking machine settings, teat condition and milking efficiency in dairy cows. Animal. 13:94-9.
DOI: https://doi.org/10.1017/S1751731119000417
Ohnstad I., Mein G.A., Baines J.R., Rasmussen M.D., Farnsworth R., Pocknee B.R., Hemling T.C., Hillerton J.E. 2007. Addressing teat condition problems. pp 189-199 in Proc. National Mastitis Council Annual Meeting, San Antonio, TX, USA.
Penry J.F., Upton J., Mein G.A., Rasmussen M.D., Ohnstad I., Thompson P.D., Reinemann D.J. 2017. Estimating teat canal cross-sectional area to determine the effects of teat-end and mouthpiece chamber vacuum on teat congestion. J. Dairy Sci. 100:821-7.
DOI: https://doi.org/10.3168/jds.2016-11533
Royle C., Garnsworthy P.C., McArthur A.J., Mepham T.B. 1992. Effects of frequent milking on heart rate and other physio-logical variables in dairy cows. pp 237-243 in Proc. Prospects for Automatic Milking, Wageningen, The Netherlands.
Siam A.I., Elazm A.A., El-Bahnasawy N.A., El Banby G., Abd El-Samie F.E. 2019. Smart health monitoring system based on IoT and cloud computing. pp 37-42 in Proc. 1st International Conference on Electronic Engineering ICEEM2019, Menoufia University, Egypt.
DOI: https://doi.org/10.21608/mjeer.2019.76711
Tangorra F.M., Redaelli V., Luzi F., Zaninelli M. 2019. The use of infrared thermography for the monitoring of udder teat stress caused by milking machines. Animals. 384:1-13.
DOI: https://doi.org/10.3390/ani9060384
Telfer B., Hoyt R., Lacirignola J., Patel T., Siegel A., Swiston A., Singh N., Trebicka R., Weston C., Williamson J. 2017. Wearable oximetry for harsh environments. pp 107-110 in Proc. 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Eindhoven, The Netherlands.
DOI: https://doi.org/10.1109/BSN.2017.7936019
Upton J., Penry J.F., Rasmussen M.D., Thompson P.D., Reinemann D.J. 2016. Effect of pulsation rest phase duration on teat end congestion. J. Dairy Sci. 99:3958-65.
DOI: https://doi.org/10.3168/jds.2015-10466
Uystepruyst C., Coghe J., Bureau F., Lekeux P. 2000. Evaluation of accuracy of pulse oximetry in newborn calves. Vet. J. 159:71-6.
DOI: https://doi.org/10.1053/tvjl.1999.0422
Wieland M., Nydam D.V., Älveby N., Wood P., Virkler P.D. 2018. Short communication: Teat-end shape and udder-level milking characteristics and their associations with machine milking induced changes in teat tissue condition. J. Dairy Sci. 101:11447-54.
DOI: https://doi.org/10.3168/jds.2018-15057
Wieland M., Shirky S., Gioia G., Sipka A., Virkler P.D., Nydam D.V., Älveby N., Porter I.R. (2020). Blood perfusion of teat tissue in dairy cows: Changes associated with pre-milking stimulation and machine milking. J. Dairy Sci. 103:1-12.
DOI: https://doi.org/10.3168/jds.2020-18219
How to Cite
Calcante, A. and Tangorra, F. M. (2021) “Measuring oxygen saturation and pulse rate in dairy cows before and after machine milking using a low-cost pulse oximeter”, Journal of Agricultural Engineering, 52(2). doi: 10.4081/jae.2021.1155.
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