Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy Co. Cork, P61 C997, Ireland.
Institute for Agricultural Engineering, University of Hohenheim, 70599 Stuttgart, Germany.
Animal. 2019 Sep;13(9):2070-2079. doi: 10.1017/S1751731118003658. Epub 2019 Feb 8.
The commercially available collar device MooMonitor+ was evaluated with regards to accuracy and application potential for measuring grazing behavior. These automated measurements are crucial as cows feed intake behavior at pasture is an important parameter of animal performance, health and welfare as well as being an indicator of feed availability. Compared to laborious and time-consuming visual observation, the continuous and automated measurement of grazing behavior may support and improve the grazing management of dairy cows on pasture. Therefore, there were two experiments as well as a literature analysis conducted to evaluate the MooMonitor+ under grazing conditions. The first experiment compared the automated measurement of the sensor against visual observation. In a second experiment, the MooMonitor+ was compared to a noseband sensor (RumiWatch), which also allows continuous measurement of grazing behavior. The first experiment on n = 12 cows revealed that the automated sensor MooMonitor+ and visual observation were highly correlated as indicated by the Spearman's rank correlation coefficient (rs) = 0.94 and concordance correlation coefficient (CCC) = 0.97 for grazing time. An rs-value of 0.97 and CCC = 0.98 was observed for rumination time. In a second experiment with n = 12 cows over 24-h periods, a high correlation between the MooMonitor+ and the RumiWatch was observed for grazing time as indicated by an rs-value of 0.91 and a CCC-value of 0.97. Similarly, a high correlation was observed for rumination time with an rs-value of 0.96 and a CCC-value of 0.99. While a higher level of agreement between the MooMonitor+ and both visual observation and RumiWatch was observed for rumination time compared to grazing time, the overall results showed a high level of accuracy of the collar device in measuring grazing and rumination times. Therefore, the collar device can be applied to monitor cow behavior at pasture on farms. With regards to the application potential of the collar device, it may not only be used on commercial farms but can also be applied to research questions when a data resolution of 15 min is sufficient. Thus, at farm level, the farmer can get an accurate and continuous measurement of grazing behavior of each individual cow and may then use those data for decision-making to optimize the animal management.
市售的项圈设备 MooMonitor+ 被评估了其在测量放牧行为方面的准确性和应用潜力。这些自动化测量至关重要,因为牛在牧场上的采食行为是动物性能、健康和福利的重要参数,也是饲料供应的指标。与费力且耗时的视觉观察相比,连续和自动化的放牧行为测量可以支持和改善奶牛在牧场上的放牧管理。因此,进行了两项实验以及文献分析,以评估在放牧条件下的 MooMonitor+。第一项实验比较了传感器的自动测量与视觉观察。在第二项实验中,MooMonitor+与鼻带传感器(RumiWatch)进行了比较,该传感器也可以连续测量放牧行为。第一项实验在 12 头奶牛上进行,结果表明,自动化传感器 MooMonitor+与视觉观察具有高度相关性,Spearman 秩相关系数(rs)为 0.94,一致性相关系数(CCC)为 0.97,用于放牧时间。rs 值为 0.97,CCC=0.98,用于反刍时间。在第二项实验中,12 头奶牛在 24 小时期间进行,结果表明,MooMonitor+与 RumiWatch 之间存在高度相关性,用于放牧时间的 rs 值为 0.91,CCC 值为 0.97。同样,反刍时间的 rs 值为 0.96,CCC 值为 0.99。与放牧时间相比,MooMonitor+与视觉观察和 RumiWatch 的反刍时间具有更高的一致性水平,整体结果表明,项圈设备在测量放牧和反刍时间方面具有高度的准确性。因此,该项圈设备可用于在农场监测奶牛在牧场上的行为。关于项圈设备的应用潜力,它不仅可以在商业农场中使用,还可以应用于研究问题,当数据分辨率为 15 分钟时就足够了。因此,在农场层面,农民可以获得每头奶牛放牧行为的准确和连续测量,并可以使用这些数据进行决策,以优化动物管理。