Vélez-Terranova Mauricio, Campos Gaona Rómulo, Salamanca-Carreño Arcesio, Velasco Daza Ricardo Andrés, Arenas Rodríguez Brandon Alexis, Chaparro Ortegón José Sebastián
Facultad de Ciencias Agropecuarias, Universidad Nacional de Colombia, Palmira 763531, Colombia.
Facultad de Medicina Veterinaria y Zootecnia, Universidad Cooperativa de Colombia, Villavicencio 500001, Colombia.
Animals (Basel). 2023 Apr 18;13(8):1385. doi: 10.3390/ani13081385.
Milk is the natural food with the highest biological quality for the human population and its production can be affected by several sanitary factors and management conditions. With the objective of identifying influence factors on milk compositional and sanitary quality in a region with wide productive potential in the Colombian Orinoquia, an experiment was carried out in two contrasting climatic seasons. For the milk compositional analysis, samples of daily production from 30 dual-purpose systems were analyzed. Similarly, the udder sanitary status of 300 cows was studied using the California Mastitis Test (CMT). Data analysis included mixed models, Pearson correlations, frequency tables, and the Kruskal-Wallis test. The results showed that the total daily milk production of the farm and the season influenced the milk compositional quality. The farms with milk productions lower than 100 kg/day presented the highest levels of protein, lactose, solid non-fat (SNF), and density, while in the rainy season, the milk quality was higher compared to the dry season. The CMT test indicated that only 7.6% of the evaluated mammary quarters presented two or more degrees of positivity. There is an opportunity to improve the milk compositional quality by improving the nutritional offer for animals during the year. The low CMT positivity indicates that, in the calf-at-foot milking system, the presence of subclinical mastitis is not a determining variable in milk production.
牛奶是人类生物质量最高的天然食物,其生产会受到多种卫生因素和管理条件的影响。为了确定在哥伦比亚奥里诺科河地区具有广泛生产潜力的区域中,影响牛奶成分和卫生质量的因素,在两个对比明显的气候季节进行了一项实验。对于牛奶成分分析,对30个兼用型养殖系统的日产奶样进行了分析。同样,使用加利福尼亚乳房炎检测法(CMT)研究了300头奶牛的乳房卫生状况。数据分析包括混合模型、皮尔逊相关性、频率表和克鲁斯卡尔-沃利斯检验。结果表明,农场的每日总产奶量和季节会影响牛奶的成分质量。日产奶量低于100千克/天的农场,其牛奶中的蛋白质、乳糖、非脂固形物(SNF)和密度水平最高,而在雨季,牛奶质量高于旱季。CMT检测表明,所评估的乳腺中只有7.6%呈现出两个或更高程度的阳性。通过全年改善动物的营养供应,有机会提高牛奶的成分质量。CMT低阳性率表明,在犊牛随母哺乳挤奶系统中,亚临床乳房炎的存在并非牛奶生产中的决定性变量。