Adaptation Physiology Group, Wageningen University and Research, P.O. Box 338, 6700 AH Wageningen, the Netherlands.
Clinic of Farm Animals, Aristotle University of Thessaloniki, 54627 Thessaloniki, Greece.
Animal. 2021 Oct;15(10):100363. doi: 10.1016/j.animal.2021.100363. Epub 2021 Sep 22.
Daily milk production, and fluctuations therein, can provide information on health and resilience of dairy cows. We studied variance and autocorrelation of deviations in daily milk yield in relation to the occurrence of clinical mastitis (no, early or later in lactation). Individual lactation curves were fitted to 305-d lactations of 414 dairy cows using quantile regression. Log-transformed variance (lnVar) and autocorrelation of the quantile residuals of daily milk yield (predicted - observed) were evaluated for intervals until 30 and until 305 days in milk (DIM). Cows were classified as having no mastitis (n = 249), early mastitis that first occurred before 30 DIM (n = 29); or later mastitis (n = 136). Subsequently, linear models were used to assess effects of mastitis and parity class (primiparous or multiparous) on lnVar and autocorrelations; and logistic regression analyses were performed to predict mastitis from lnVar or autocorrelation and parity. From 10 to 30 DIM, lnVar was greater for cows with early mastitis than for cows with no or late mastitis, and autocorrelation tended to be lower for cows with early mastitis than for cows with no mastitis. The lnVar and autocorrelation from 10 to 30 DIM were not predictive of late mastitis. From 10 to 305 DIM, lnVar was greater and autocorrelation was lower for both cows with early and late mastitis than for cows with no mastitis; and both were predictive of having mastitis in the 305-d lactation. Primiparous cows had lower lnVar than multiparous cows. In cows without mastitis, autocorrelation values were positively correlated with lnVar. Results confirm that increased lnVar is associated with clinical mastitis.
奶牛的日产量及其波动情况可以提供奶牛健康和适应能力的信息。我们研究了每日产奶量的偏差方差和自相关与临床乳腺炎(无、早期或晚期泌乳)的发生之间的关系。使用分位数回归对 414 头奶牛的 305 天泌乳期进行了个体泌乳曲线拟合。对每日产奶量(预测值-观测值)的分位数残差的对数方差(lnVar)和自相关进行了评估,评估间隔为 30 天和 305 天泌乳天数(DIM)。奶牛被分为无乳腺炎(n=249)、早期乳腺炎(在 30 DIM 之前首次发生)(n=29)和晚期乳腺炎(n=136)。随后,使用线性模型评估乳腺炎和胎次类别(初产或经产)对 lnVar 和自相关的影响;并进行逻辑回归分析,以从 lnVar 或自相关和胎次预测乳腺炎。在 10 到 30 DIM 期间,患有早期乳腺炎的奶牛的 lnVar 大于无乳腺炎或晚期乳腺炎的奶牛,而患有早期乳腺炎的奶牛的自相关倾向于低于无乳腺炎的奶牛。10 到 30 DIM 的 lnVar 和自相关对晚期乳腺炎没有预测作用。在 10 到 305 DIM 期间,患有早期和晚期乳腺炎的奶牛的 lnVar 均大于无乳腺炎的奶牛,自相关均低于无乳腺炎的奶牛;并且两者都可以预测在 305 天泌乳期发生乳腺炎。初产奶牛的 lnVar 低于经产奶牛。在无乳腺炎的奶牛中,自相关值与 lnVar 呈正相关。结果证实,lnVar 的增加与临床乳腺炎有关。