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An Overview on the Use of Near Infrared Spectroscopy (NIRS) on Farms for the Management of Dairy Cows

Author

Listed:
  • Chiara Evangelista

    (Department of Agricultural and Forestry Sciences (DAFNE), University of Tuscia, 01100 Viterbo, Italy)

  • Loredana Basiricò

    (Department of Agricultural and Forestry Sciences (DAFNE), University of Tuscia, 01100 Viterbo, Italy)

  • Umberto Bernabucci

    (Department of Agricultural and Forestry Sciences (DAFNE), University of Tuscia, 01100 Viterbo, Italy)

Abstract

Dairy farming is increasingly affected by the digital revolution. To respond to current challenges—such as environmental, economic, and social sustainability—new technologies must be adopted, entering the perspective of precision livestock farming. This is made possible by the development of countless sensors to be adopted in the barn. The technology that is affecting various aspects of dairy cattle breeding is certainly near infrared spectroscopy (NIRS) which is versatile and can be used online/inline to evaluate and control the critical points of the production process by entering the PAT (process analytical technology). In the barn, NIRS currently can obtain information on the chemical-physical composition of raw materials, total mixed ration (TMR), feces and digestibility, chemical and technological analysis of milk. All this in a short time by eliminating the waiting times for analysis response and costs, allowing an improvement of livestock management. Many studies affirm the validity of NIRS as a reliable and predictive technology against multiple relevant parameters in matrices such as raw feed, TMR, feces, and milk. This review highlights the usefulness of NIRS technology in dairy farm with particular attention to portable instrumentation usable directly on the farm.

Suggested Citation

  • Chiara Evangelista & Loredana Basiricò & Umberto Bernabucci, 2021. "An Overview on the Use of Near Infrared Spectroscopy (NIRS) on Farms for the Management of Dairy Cows," Agriculture, MDPI, vol. 11(4), pages 1-21, March.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:4:p:296-:d:526832
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    Citations

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    Cited by:

    1. Joly, Frédéric & Nozière, Pierre & Jacquiet, Philippe & Prache, Sophie & Dumont, Bertrand, 2023. "Metabolic assessment of biological mechanisms underlying agroecological systems: The example of parasite dilution and forage niche sharing in mixed-grazing," Agricultural Systems, Elsevier, vol. 210(C).
    2. Na Liu & Jingwei Qi & Xiaoping An & Yuan Wang, 2023. "A Review on Information Technologies Applicable to Precision Dairy Farming: Focus on Behavior, Health Monitoring, and the Precise Feeding of Dairy Cows," Agriculture, MDPI, vol. 13(10), pages 1-21, September.
    3. Andrea Colantoni & Nicola Lacetera & Loredana Basiricò & Massimo Malacarne & Andrea Summer & Umberto Bernabucci, 2022. "Innovative Technologies for the Feeding of Dairy Cattle to Ensure Animal Welfare and Production Quality—INNOVALAT," Agriculture, MDPI, vol. 12(5), pages 1-4, April.
    4. Peng, Wei & Beggio, Giovanni & Pivato, Alberto & Zhang, Hua & Lü, Fan & He, Pinjing, 2022. "Applications of near infrared spectroscopy and hyperspectral imaging techniques in anaerobic digestion of bio-wastes: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    5. Larry E. Chase & Riccardo Fortina, 2023. "Environmental and Economic Responses to Precision Feed Management in Dairy Cattle Diets," Agriculture, MDPI, vol. 13(5), pages 1-23, May.
    6. Radko Loučka & Václav Jambor & Jan Nedělník & Jaroslav Lang & Petr Homolka & Filip Jančík & Veronika Koukolová & Petra Kubelková & Yvona Tyrolová & Alena Výborná, 2022. "Differences between chemical analysis and portable near-infrared reflectance spectrometry in maize hybrids," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 67(5), pages 176-184.

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