Green M J, Bradley A J, Medley G F, Browne W J
School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, LE12 5RD, United Kingdom.
J Dairy Sci. 2007 Aug;90(8):3764-76. doi: 10.3168/jds.2007-0107.
The purpose of the research was to investigate cow characteristics, farm facilities, and herd management strategies during the dry period to examine their joint influence on the rate of clinical mastitis after calving. Data were collected over a 2-yr period from 52 commercial dairy farms throughout England and Wales. Cows were separated for analysis into those housed for the dry period (8,710 cow-dry periods) and those at pasture (9,964 cow-dry periods). Multilevel models were used within a Bayesian framework with 2 response variables, the occurrence of a first case of clinical mastitis within the first 30 d of lactation and time to the first case of clinical mastitis during lactation. A variety of cow and herd management factors were identified as being associated with an increased rate of clinical mastitis and these were found to occur throughout the dry period. Significant cow factors were increased parity and at least one somatic cell count > or = 200,000 cells/mL in the 90 d before drying off. A number of management factors related to hygiene were significantly associated with an increased rate of clinical mastitis. These included measures linked to the administration of dry-cow treatments and management of the early and late dry-period accommodation and calving areas. Other farm factors associated with a reduced rate of clinical mastitis were vaccination with a leptospirosis vaccine, selection of dry-cow treatments for individual cows within a herd rather than for the herd as a whole, routine body condition scoring of cows at drying off, and a pasture rotation policy of grazing dry cows for a maximum of 2 wk before allowing the pasture to remain nongrazed for a period of 4 wk. Models demonstrated a good ability to predict the farm incidence rate of clinical mastitis in a given year, with model predictions explaining over 85% of the variability in the observed data. The research indicates that specific dry-period management strategies have an important influence on the rate of clinical mastitis during the next lactation.
该研究的目的是调查干奶期奶牛的特征、养殖场设施及牛群管理策略,以检验它们对产犊后临床型乳房炎发病率的共同影响。在两年时间里,从英格兰和威尔士的52个商业化奶牛场收集了数据。奶牛被分为干奶期圈养的奶牛(8710个奶牛干奶期)和放牧的奶牛(9964个奶牛干奶期)进行分析。在贝叶斯框架内使用多水平模型,有两个反应变量,即泌乳期前30天内首次发生临床型乳房炎的情况以及泌乳期内首次发生临床型乳房炎的时间。多种奶牛和牛群管理因素被确定与临床型乳房炎发病率增加有关,且这些因素在整个干奶期都存在。显著的奶牛因素包括胎次增加以及干奶前90天内至少有一次体细胞计数≥200,000个/毫升。一些与卫生相关的管理因素与临床型乳房炎发病率增加显著相关。这些措施包括与干奶牛治疗给药、干奶期早期和晚期圈舍及产犊区域管理相关的措施。其他与临床型乳房炎发病率降低相关的养殖场因素包括接种钩端螺旋体疫苗、针对牛群中个体奶牛而非整个牛群选择干奶牛治疗方法、干奶时对奶牛进行常规体况评分以及实行干奶牛最多放牧2周然后让牧场休牧4周的轮牧政策。模型显示出在预测给定年份临床型乳房炎的养殖场发病率方面具有良好能力,模型预测解释了观察数据中超过85%的变异性。该研究表明,特定的干奶期管理策略对下一泌乳期临床型乳房炎的发病率有重要影响。