Abstract
AGRIDIGIT is a wide spectra project dealing with digital agriculture. It wanders from forestry, to agrometeorology, crop and livestock production for a full range sustainability of the sector. The sub-project PLF4MILK focuses on precision farming of dairy cattle and buffalo, branching out into 5 Working Packages (WPs). This paper refers to buffalo (WP4). The aim of WP4 was to increase efficiency of buffalo farms through the precision farming approach. Specific objectives are the development of breeding and feeding protocols to ensure a higher welfare in buffalo, according in particular to thermal stress and individual enteric methane (CH4) emissions measurements.
Analysis of behavior, welfare and milk production according to the season, monitored by individual sensors and punctual weather station, was performed from July 2020 to January 2021. Ear tags measuring activity, resting, eating, rumination and ear temperature coupled with a milk meters electronic system were used. The study of enteric CH4 emission trough individual measurements is based on remote controllable laser detectors.
Data are then integrated each other. Multivariate approach and local and/or non-parametric regressions allow to highlight patterns of (co)variance among data from different sensors.
Data will be used to set up algorithms and models suitable for buffalo. A software interface for decision supporting, will be released. The project addresses the needs for a higher efficiency in buffalo milk supply chain along with the improvement of animal welfare and environmental sustainability.
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References
Morgan-Davies, C., et al.: Impacts of using a precision livestock system targeted approach in mountain sheep flocks. Livestock Sci. 208, 67–76 (2018)
Ermetin, O.: Precision livestock farming: potential use in water buffalo (Bubalus bubalis) operations. Anim. Sci. Papers Reports 39(1), 19–30 (2021)
Guarino, M., Norton, T., Berckmans, D., Vranken, E., Berckmans, D.: A blueprint for developing and applying precision livestock farming tools: a key output of the EU-PLF project. Anim. Front. 7, 12–17 (2017)
Bohmanova, J., Misztal, I., Coleet, J.B.: Temperature-HumidityIndicesasindicatorofmilkproductionlosses duetoheatstress. J. Dairy Sci. 90, 1947–1956 (2007)
LPHSI: Livestock and Poultry Heat Stress Indices. The Livestock and Poultry Heat Stress Indices for Cattle, Sheep and Goats. Agriculture Engineering Technology Guide, Clemson University, Clemson, SC, USA (1990)
Gauthier, J., Wu, Q.V., Gooley, T.A.: Cubic splines to model relationships between con-tinuous variables and outcomes: a guide for clinicians. Bone Marrow Transp. 55, 675–680 (2020)
Smith, P.L.: Splines as a useful and convenient statistical tool. Am. Stat. 33, 57–62 (1979)
Littell, R.C., Henry, P.R., Ammerman, C.B.: Statistical analysis of repeated measures data using SAS procedures. J. Anim. Sci. 76, 1216–1231 (1998)
Asker, A.A., Ragab, M.T.: Causes of variation in birth weight of Egyptian cattle and bufftaloes. Indian J. Veterin. Sci. 22, 265–272 (1952)
Marai, I.F.M., Haeeb, A.A.M.: Buffalo’s biological functions as affected by heat stress—a review. Livestock Sci. 127, 89–109 (2010)
Zicarelli, L., La bufala da latte. 30 giorni Speciale, 1(8), 79–82 (2008)
Shafie, M.M.: Biological adaptation of buffaloes to climatic conditions. In: Prospects of Buffalo Production in the Mediterranean and the Middle East. CONFERENCE 1993, Cairo. Wageningen Academic Publishers, Wageningen, vol. 62, pp. 176–185 (1993)
Negretti, P., Bianconi, G., Bartocci, S., Terramoccia, S., Verna, M.: Determination of live weight and body condition score in lactating Mediterranean buffalo by Visual Image Analysis. Livest. Sci. 113, 1–7 (2008)
Chagunda, M.G.G.: Opportunities and challenges in the use of the Laser Methane Detector to monitor enteric methane emissions from ruminants. Animal 7(s2), 394–400 (2013)
Mühlbach, S., Sorg, D., Kecman, J., Rosner, F., Swalve H.H.: Heritabilities for methane concentrations measured by laser methane detector in the breath of cows. In: 68th Annual Meeting of the European Federation of Animal Science Proceedings. Wageningen Academic Publishers, Wageningen, p. 200 (2017)
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The authors thank Dr. Emanuela Rossi for technical supporting and Mr. Adriano Medori and Gianluca Paris for animals managing.
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Meo Zilio, D. et al. (2022). Precision Livestock Farming for Mediterranean Water Buffalo: Some Applications and Opportunities from the Agridigit Project. In: Biocca, M., Cavallo, E., Cecchini, M., Failla, S., Romano, E. (eds) Safety, Health and Welfare in Agriculture and Agro-food Systems. SHWA 2020. Lecture Notes in Civil Engineering, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-98092-4_5
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