Miwa Masafumi, Matsuyama Shuichi, Nakamura Sho, Noda Kohei, Sakatani Miki
Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization, Tochigi 329-2793, Japan.
Present: Graduate School of Bioagricultural Sciences, Nagoya University, Aichi 470-0151, Japan.
J Reprod Dev. 2019 Dec 18;65(6):515-525. doi: 10.1262/jrd.2019-087. Epub 2019 Oct 6.
Prediction of parturition is essential for sustainable production in beef and dairy cattle, yet the present methods are limited by their high invasiveness and low utility. Here we compared prepartum changes in ventral tail base surface temperature (ST) with changes in vaginal temperature (VT) and behavioral indices. We analyzed 22 parturitions from 22 beef cows. Changes in daily values of ST, VT, and behavioral indices over the 7 days before parturition were investigated. Hourly values were calculated as the actual values minus the mean values for the same hour over a 3-day period, and the changes in hourly values over the 48 h before parturition were investigated. To test the effect of ambient temperature, tested cows were assigned to two season-groups based on the ambient temperature to which they were exposed (warm: n = 13; cool: n = 9), and the daily and hourly values of the indices were compared between seasons. A decrease in ST occurred approximately 30 h before parturition, which was similar to the time of the decrease in VT and earlier than the increase of behavioral indices. In addition, a unique fluctuation of ST observed in the last few hours before parturition indicates that ST could provide a sign for parturition not only in the long-term like VT, but also in the short-term like behavioral indices. Although ST was more sensitive to ambient temperature than VT or the behavioral indices, the day of parturition could be predicted from ST in both the warm and cool seasons.
预测分娩对于肉牛和奶牛的可持续生产至关重要,但目前的方法受到高侵入性和低实用性的限制。在这里,我们比较了产前尾基部腹侧表面温度(ST)的变化与阴道温度(VT)和行为指标的变化。我们分析了22头肉牛的22次分娩情况。研究了分娩前7天ST、VT和行为指标的每日值变化。每小时的值计算为实际值减去3天期间同一小时的平均值,并研究了分娩前48小时每小时值的变化。为了测试环境温度的影响,根据受试奶牛所接触的环境温度将其分为两个季节组(温暖组:n = 13;凉爽组:n = 9),并比较了不同季节指标的每日和每小时值。ST在分娩前约30小时出现下降,这与VT下降的时间相似,且早于行为指标的增加。此外,在分娩前最后几个小时观察到的ST独特波动表明,ST不仅可以像VT一样在长期为分娩提供信号,还可以像行为指标一样在短期内提供信号。尽管ST比VT或行为指标对环境温度更敏感,但在温暖和凉爽季节都可以根据ST预测分娩日期。