Shock D A, LeBlanc S J, Leslie K E, Hand K, Godkin M A, Coe J B, Kelton D F
Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada N1G 2W1.
Strategic Solutions Group, Puslinch, Ontario, Canada N0B 2J0.
J Dairy Sci. 2015 Jun;98(6):3741-53. doi: 10.3168/jds.2014-8675. Epub 2015 Apr 8.
Regionally aggregated bulk milk somatic cell count (BMSCC) data from around the world shows a repeatable cyclicity, with the highest levels experienced during warm, humid seasons. No studies have evaluated this seasonal phenomenon at the herd level. The objectives of this study were to define summer seasonality in BMSCC on an individual herd basis, and subsequently to describe the characteristics and dynamics of herds with increased BMSCC in the summer. The data used for this analysis were from all dairy farms in Ontario, Canada, between January 2000 and December 2011 (n≈4,000 to 6,000 herds/yr). Bulk milk data were obtained from the milk marketing board and consisted of bulk milk production, components (fat, protein, lactose, other solids), and quality (BMSCC, bacterial count, inhibitor presence, freezing point), total milk quota of the farm, and milk quota and incentive fill percentage. A time-series linear mixed model, with random slopes and intercepts, was constructed using sine and cosine terms as predictors to describe seasonality, with herd as a random effect. For each herd, seasonality was described with reference to 1 cosine function of variable amplitude and phase shift. The predicted months of maximal and minimal BMSCC were then calculated. Herds were assigned as low, medium, and high summer increase (LSI, MSI, and HSI, respectively) based on percentiles of amplitude in BMSCC change for each of the 4 seasons. Using these seasonality classifications, 2 transitional repeated measures logistic regression models were built to assess the characteristics of MSI and HSI herds, using LSI herds as controls. Based on the analyses performed, a history of summer BMSCC increases increased the odds of experiencing a subsequent increase. As herd size decreased, the odds of experiencing HSI to MSI in BMSCC increased. Herds with more variability in daily BMSCC were at higher odds of experiencing MSI and HSI in BMSCC, as were herds with lower annual mean BMSCC. Finally, a negative association was noted between filling herd production targets and experiencing MSI to HSI in BMSCC. These findings provide farm advisors direction for predicting herds likely to experience increases in SCC over the summer, allowing them to proactively focus udder health prevention strategies before the high-risk summer period.
来自世界各地的区域汇总的批量牛奶体细胞计数(BMSCC)数据显示出一种可重复的周期性,在温暖潮湿的季节中水平最高。尚无研究在畜群层面评估这种季节性现象。本研究的目的是在个体畜群基础上确定BMSCC的夏季季节性,随后描述夏季BMSCC升高的畜群的特征和动态。用于此分析的数据来自2000年1月至2011年12月期间加拿大安大略省的所有奶牛场(每年约4000至6000个畜群)。批量牛奶数据从牛奶营销委员会获得,包括批量牛奶产量、成分(脂肪、蛋白质、乳糖、其他固体)和质量(BMSCC、细菌计数、抑制剂存在情况、冰点)、农场的总牛奶配额以及牛奶配额和激励填充百分比。构建了一个具有随机斜率和截距的时间序列线性混合模型,使用正弦和余弦项作为预测因子来描述季节性,将畜群作为随机效应。对于每个畜群,参考一个可变幅度和相移的余弦函数来描述季节性。然后计算预测的BMSCC最高和最低月份。根据四个季节中每个季节BMSCC变化幅度的百分位数,将畜群分为夏季低增加、夏季中等增加和夏季高增加(分别为LSI、MSI和HSI)。使用这些季节性分类,构建了两个过渡性重复测量逻辑回归模型,以LSI畜群作为对照来评估MSI和HSI畜群的特征。基于所进行的分析,夏季BMSCC升高的历史增加了随后再次升高的几率。随着畜群规模减小,BMSCC出现HSI至MSI的几率增加。每日BMSCC变异性更大的畜群出现BMSCC的MSI和HSI的几率更高,年平均BMSCC较低的畜群也是如此。最后,注意到达到畜群生产目标与出现BMSCC的MSI至HSI之间存在负相关。这些发现为农场顾问提供了方向,以便预测可能在夏季出现SCC升高的畜群,使他们能够在高风险的夏季期间之前积极关注乳房健康预防策略。