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 language | English |
|---|---|
| Article number | skaf128 |
| Journal | Journal of Animal Science |
| Volume | 103 |
| DOIs | |
| Publication status | Published - 2025 |
| MoE publication type | A1 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)
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SDG 2 Zero Hunger
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SDG 13 Climate Action
Keywords
- climate change
- correlation analysis
- feed ratio composition
- milk composition
- multivariate analysis
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