Roufou Styliani, Katsini Lydia, Griffin Sholeem, Silva Carolina S, Polańska Monika, Lede Ismael Martínez, Van Impe Jan F M, Valdramidis Vasilis P
Department of Food Sciences and Nutrition, Faculty of Health Sciences, University of Malta, Msida, Malta.
Department of Chemical Engineering BioTeC+, KU Leuven, Chemical & Bioprocess Technology & Control, Gent, Belgium.
J Anim Sci. 2025 Jan 4;103. doi: 10.1093/jas/skaf128.
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.
乳制品行业面临着来自气候变化的重大挑战,这就需要更深入地了解气候因素如何影响原料奶的成分和质量。本研究的目的是评估温度、太阳辐射和二氧化碳水平等气候变量对原料奶参数的影响,这些参数包括体细胞计数、蛋白质百分比、脂肪和总细菌数。选择性比率和斯皮尔曼等级相关分析确定了关键关联。本研究分析了西班牙北部53个农场(2014年至2019年)的数据,采用了两种饲养系统:全混合日粮和手工饲喂。温度和太阳辐射与脂肪(r = -0.68,P < 0.05)、蛋白质(r = -0.71,P < 0.05)和干瘦肉百分比(r = -0.65,P < 0.05)呈负相关,而平均温度与体细胞计数呈正相关(r = 0.70,P < 0.05)。总细菌数与二氧化碳水平呈负相关(r = -0.66,P < 0.05)。在气候变量中,通过选择性比率分析,太阳辐射和二氧化碳被突出为最具影响力的因素。此外,全混合日粮饲养系统似乎支持更好的代谢适应,强调了均衡饮食在减轻气候引起的压力方面的重要性。这些发现强调了改进农场管理实践以应对气候变化对牛奶质量影响的必要性。