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Assessing the impact of climatic conditions and feeding systems on the quality of raw bovine milk in Spain

  • Styliani Roufou
  • , Lydia Katsini
  • , Sholeem Griffin*
  • , Carolina S. Silva
  • , Monika Polańska
  • , Ismael Martínez Lede
  • , Jan F.M. Van Impe
  • , Vasilis P. Valdramidis*
  • *Corresponding author for this work
    • University of Malta
    • Katholieke Universiteit Leuven (KU Leuven)
    • Feiraco Lacteos
    • National and Kapodistrian University of Athens

    Research output: Contribution to journal › Article › Scientific › peer-review

    Abstract

    The dairy industry faces significant challenges from climate change, requiring a deeper understanding of how climatic factors influence raw milk composition and quality. The aim of this study was to evaluate the impact of climatic variables, such as temperature, solar radiation, and carbon dioxide levels, on raw milk parameters, including somatic cell count, protein percentage, fat, and total bacterial count. Selectivity ratio and Spearman rank correlation analyses identified key associations. This study analyzed data from 53 farms in northern Spain (2014 to 2019), using 2 feeding systems: Total Mixed Ration and Hand Feeding. Temperature and solar radiation negatively correlated with fat (r = -0.68, P < 0.05), protein (r = -0.71, P < 0.05), and dry lean percentages (r = -0.65, P < 0.05), while average temperature positively correlated with somatic cell count (r = 0.70, P < 0.05). Total bacterial count showed a negative correlation with carbon dioxide levels (r = -0.66, P < 0.05). Among the climatic variables, solar radiation, and carbon dioxide were highlighted as the most influential factors through selectivity ratio analysis. Additionally, Total Mixed Ration feeding systems appeared to support better metabolic adaptation, underscoring the importance of balanced diets in mitigating climate-induced stress. These findings emphasize the need for improved farm management practices to address climate change impacts on milk quality.

    Original languageEnglish
    Article numberskaf128
    JournalJournal of Animal Science
    Volume103
    DOIs
    Publication statusPublished - 2025
    MoE publication typeA1 Journal article-refereed

    Funding

    This work was supported by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 813329 ( http://www.protect-itn.eu/ ) (PROTECT) and partly by the MEDIFIT PRIMA project No 1932. It was also supported by Cooperativas Lácteas Unidas (CLUN) dairy industry. The publication of the article in OA mode was financially supported by HEAL-Link.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 2 - Zero Hunger
      SDG 2 Zero Hunger
    2. SDG 13 - Climate Action
      SDG 13 Climate Action

    Keywords

    • climate change
    • correlation analysis
    • feed ratio composition
    • milk composition
    • multivariate analysis

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