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A Global Review of Monitoring, Modeling, and Analyses of Water Demand in Dairy Farming

Author

Listed:
  • Philip Shine

    (Department of Process, Energy and Transport Engineering, Cork Institute of Technology, Cork, Ireland)

  • Michael D. Murphy

    (Department of Process, Energy and Transport Engineering, Cork Institute of Technology, Cork, Ireland)

  • John Upton

    (Animal and Grassland Research and Innovation Centre, Teagasc Moorepark Fermoy, Co., Cork, Ireland)

Abstract

The production of milk must be balanced with the sustainable consumption of water resources to ensure the future sustainability of the global dairy industry. Thus, this review article aimed to collate and summarize the literature in the dairy water-usage domain. While green water use (e.g., rainfall) was found to be largest category of water use on both stall and pasture-based dairy farms, on-farm blue water (i.e., freshwater) may be much more susceptible to local water shortages due to the nature of its localized supply through rivers, lakes, or groundwater aquifers. Research related to freshwater use on dairy farms has focused on monitoring, modeling, and analyzing the parlor water use and free water intake of dairy cows. Parlor water use depends upon factors related to milk precooling, farm size, milking systems, farming systems, and washing practices. Dry matter intake is a prominent variable in explaining free water intake variability; however, due to the unavailability of accurate data, some studies have reported moving away from dry matter intake at the expense of prediction accuracy. Machine-learning algorithms have been shown to improve dairy water-prediction accuracy by 23%, which may allow for coarse model inputs without reducing accuracy. Accurate models of on-farm water use allow for an increased number of dairy farms to be used in water footprinting studies, as the need for physical metering equipment is mitigated.

Suggested Citation

  • Philip Shine & Michael D. Murphy & John Upton, 2020. "A Global Review of Monitoring, Modeling, and Analyses of Water Demand in Dairy Farming," Sustainability, MDPI, vol. 12(17), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:7201-:d:408259
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    References listed on IDEAS

    as
    1. Philip Shine & John Upton & Paria Sefeedpari & Michael D. Murphy, 2020. "Energy Consumption on Dairy Farms: A Review of Monitoring, Prediction Modelling, and Analyses," Energies, MDPI, vol. 13(5), pages 1-25, March.
    2. Shine, P. & Scully, T. & Upton, J. & Shalloo, L. & Murphy, M.D., 2018. "Electricity & direct water consumption on Irish pasture based dairy farms: A statistical analysis," Applied Energy, Elsevier, vol. 210(C), pages 529-537.
    3. M. Falkenmark & J. Rockström & L. Karlberg, 2009. "Present and future water requirements for feeding humanity," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 59-69, February.
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    Cited by:

    1. Rajeev Bhat & Jorgelina Di Pasquale & Ferenc Istvan Bánkuti & Tiago Teixeira da Silva Siqueira & Philip Shine & Michael D. Murphy, 2022. "Global Dairy Sector: Trends, Prospects, and Challenges," Sustainability, MDPI, vol. 14(7), pages 1-7, April.

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