Lehew H P, Dechow C D
Department of Animal Science, Pennsylvania State University, University Park 16802.
JDS Commun. 2021 Jun 23;2(4):196-199. doi: 10.3168/jdsc.2020-0065. eCollection 2021 Jul.
Somatic cell count (SCC) measures the concentration of somatic cells in milk and is used as a mastitis diagnostic tool. It is plausible that variation in milk yield could alter the relationship between SCC and mastitis status. Our objective was to evaluate total daily SCC output as a predictor of clinical mastitis. Data included 37,035 test-day records from 4,179 lactations of 1,679 cows and 1,286 mastitis events from an experimental herd. Daily total SCC was derived by multiplying SCC by daily milk yield in milliliters and transformed to daily total somatic cell score (DTSCS) via a log transformation. Milk yield, SCS, and DTSCS were evaluated with mixed models that included the proximity of a mastitis event to the test date and days in milk as the main fixed effects. A second series of logistic regression was conducted that considered mastitis (1 = mastitis occurred during a test interval; 0 = no mastitis) as the dependent variable with milk yield, SCS, and DTSCS the main independent effects. Least squares means for test dates associated with mastitis-free lactations were 2.43 and 2.25 for SCS and DTSCS, respectively. The corresponding values were 5.96 for SCS and 5.66 for DTSCS for the week of a mastitis event. Whereas SCS declined rapidly in early lactation and then increased steadily thereafter, DTSCS was lowest in early lactation and increased by a proportionally smaller amount throughout lactation. Including both SCS and DTSCS in the same model improved the logistic regression model fit over a model with SCS only. Dilution effects from milk yield influence SCS, and consideration of DTSCS in management and genetic selection schemes could improve mastitis detection and resistance.
体细胞计数(SCC)用于测量牛奶中体细胞的浓度,并作为乳腺炎的诊断工具。产奶量的变化可能会改变SCC与乳腺炎状态之间的关系,这是合理的。我们的目标是评估每日体细胞总数输出作为临床乳腺炎的预测指标。数据包括来自1679头奶牛的4179次泌乳的37035条测定日记录,以及来自一个实验牛群的1286起乳腺炎事件。每日体细胞总数通过将SCC乘以每日产奶量(毫升)得出,并通过对数转换转换为每日体细胞总分(DTSCS)。产奶量、体细胞评分(SCS)和DTSCS使用混合模型进行评估,该模型将乳腺炎事件与测定日期的接近程度以及泌乳天数作为主要固定效应。进行了第二系列逻辑回归分析,将乳腺炎(1 = 在测试间隔期间发生乳腺炎;0 = 无乳腺炎)作为因变量,产奶量、SCS和DTSCS作为主要自变量。与无乳腺炎泌乳相关的测定日的最小二乘均值,SCS和DTSCS分别为2.43和2.25。在乳腺炎事件发生的那一周,SCS和DTSCS的相应值分别为5.96和5.66。虽然SCS在泌乳早期迅速下降,然后在此后稳步上升,但DTSCS在泌乳早期最低,并且在整个泌乳期的增加幅度较小。在同一模型中同时纳入SCS和DTSCS比仅包含SCS的模型更能改善逻辑回归模型的拟合度。产奶量的稀释效应会影响SCS,在管理和遗传选择方案中考虑DTSCS可以提高乳腺炎的检测和抵抗力。