IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i1p104-d723362.html
   My bibliography  Save this article

Automatic Milking Systems in the Production of Parmigiano Reggiano Cheese: Effects on the Milk Quality and on Cheese Characteristics

Author

Listed:
  • Piero Franceschi

    (Department of Veterinary Science, University of Parma, Via del Taglio 10, 43126 Parma, Italy)

  • Massimo Malacarne

    (Department of Veterinary Science, University of Parma, Via del Taglio 10, 43126 Parma, Italy)

  • Elena Bortolazzo

    (Centro Ricerche Produzioni Animali, Viale Timavo 43/2, 42121 Reggio Emilia, Italy)

  • Fabio Coloretti

    (Department of Agricultural and Food Sciences, University of Bologna, Via Giuseppe Fanin 50, 40127 Bologna, Italy)

  • Paolo Formaggioni

    (Department of Veterinary Science, University of Parma, Via del Taglio 10, 43126 Parma, Italy)

  • Anna Garavaldi

    (Centro Ricerche Produzioni Animali, Viale Timavo 43/2, 42121 Reggio Emilia, Italy)

  • Valeria Musi

    (Centro Ricerche Produzioni Animali, Viale Timavo 43/2, 42121 Reggio Emilia, Italy)

  • Andrea Summer

    (Department of Veterinary Science, University of Parma, Via del Taglio 10, 43126 Parma, Italy)

Abstract

The adoption of innovative processes, such as the automatic milking system (AMS), in the production of typical PDO cheeses, such as Parmigiano Reggiano, needs to be evaluated and tested, to verify its influence on milk quality and the typicality of the product. The present research was aimed to study the effect of the introduction of the AMS on the cheesemaking characteristics of the milk and the ripening process and the sensory properties of the Parmigiano Reggiano PDO cheese. Six cheesemaking trials were performed and, in each trial, two different separated pools of milk were submitted to the cheesemaking process in parallel, one from AMS and the other from a traditional milking parlor (TMP). AMS milk, in comparison with TMP one, showed higher content of lactose and calcium and lower contents of somatic cells, thermophilic lactic acid bacteria and chloride. Nevertheless, these changes were too small to influence the efficiency of the cheesemaking process and the cheese composition and its sensory profile. Moreover, cheeses made with AMS milk fully complied with the sensory characteristics of Parmigiano Reggiano cheese PDO, as defined by the PDO rules.

Suggested Citation

  • Piero Franceschi & Massimo Malacarne & Elena Bortolazzo & Fabio Coloretti & Paolo Formaggioni & Anna Garavaldi & Valeria Musi & Andrea Summer, 2022. "Automatic Milking Systems in the Production of Parmigiano Reggiano Cheese: Effects on the Milk Quality and on Cheese Characteristics," Agriculture, MDPI, vol. 12(1), pages 1-15, January.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:1:p:104-:d:723362
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/1/104/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/1/104/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Piero Franceschi & Francesca Martuzzi & Paolo Formaggioni & Massimo Malacarne & Andrea Summer, 2023. "Seasonal Variations of the Protein Fractions and the Mineral Contents of the Cheese Whey in the Parmigiano Reggiano Cheese Manufacture," Agriculture, MDPI, vol. 13(1), pages 1-11, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:12:y:2022:i:1:p:104-:d:723362. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.