Moschovas Marios, Pavlatos Georgios, Basdagianni Zoitsa, Manessis Georgios, Bossis Ioannis
Chrisodima Veterinary Services S.H., Andrea Syngrou Avenue 191, 17121 Athens, Greece.
Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, School of Animal Biosciences, Agricultural University of Athens (AUA), Iera Odos 75 Str., 11855 Athens, Greece.
Animals (Basel). 2023 Nov 10;13(22):3470. doi: 10.3390/ani13223470.
Despite years of research devoted to bovine mastitis, the disease remains a serious problem in dairy cattle, causing economic losses to the dairy industry worldwide due to reduced milk yield, lower milk quality, drug costs and early culling of cows. The aim of this study is to determine the importance of several risk factors affecting milk quality in dairy cows, as well as to highlight proper milking techniques. A cross-sectional study was performed in one Greek dairy farm with the inclusion of a total of 1004 Holstein Friesian cows in the study. The udder and teat traits were recorded for each cow, while individual milk samples were used to estimate the somatic cell count (SCC) and gross milk composition. The traits recorded were examined as potential risk factors affecting milk quality using the Akaike information criterion (AIC) and the algorithm stepAIC to select the best linear regression model which explains the data. Overall, the prevalence of mastitis was ca. 9%. With an increase in the lactation period, the SCC increased ( ≤ 0.05) while fat ( ≤ 0.05), protein ( ≤ 0.001) and lactose ( ≤ 0.001) content decreased. Teat hyperkeratosis increased the SCC ( ≤ 0.05) and decreased P content ( ≤ 0.05). Proper husbandry management and milking procedures are considered essential to maintain milk quality of high standards.
尽管多年来一直致力于研究牛乳腺炎,但该疾病仍是奶牛养殖业中的一个严重问题,由于产奶量下降、牛奶质量降低、药物成本以及奶牛过早淘汰,给全球乳制品行业造成了经济损失。本研究的目的是确定影响奶牛牛奶质量的几个风险因素的重要性,并强调正确的挤奶技术。在希腊的一个奶牛场进行了一项横断面研究,该研究共纳入了1004头荷斯坦弗里生奶牛。记录了每头奶牛的乳房和乳头特征,同时使用个体牛奶样本估计体细胞计数(SCC)和总牛奶成分。使用赤池信息准则(AIC)和逐步AIC算法将记录的特征作为影响牛奶质量的潜在风险因素进行检查,以选择能够解释数据的最佳线性回归模型。总体而言,乳腺炎的患病率约为9%。随着泌乳期的增加,体细胞计数增加(≤0.05),而脂肪(≤0.05)、蛋白质(≤0.001)和乳糖(≤0.001)含量下降。乳头角化过度会增加体细胞计数(≤0.05)并降低磷含量(≤0.05)。适当的饲养管理和挤奶程序被认为是维持高标准牛奶质量的关键。