Universidade do Estado de Santa Catarina, Centro de Ciências Agroveterinárias, Avenida Luis de Camões, 2090, Lages, Santa Catarina, Cep: 88520-000, Brazil.
Centro Universitário Leonardo da Vinci, Indaial, Santa Catarina, Brazil.
Trop Anim Health Prod. 2021 Jun 29;53(3):379. doi: 10.1007/s11250-021-02833-w.
This research aimed to compare the rumination time estimated by an electronic monitoring system with direct visual observations of the rumination of dairy cows in a grazing-based system. Also, it aimed to estimate the agreement between different time intervals of the direct visual observations. To that end, we have observed twelve lactating cows for 16 h a day for 11 days. Then, we compared the data provided by the HealthyCow24® software with the visual observations to use as reference. After that, we estimated the Pearson's correlation coefficients, the linear regression, and the Bland-Altman plot by using the SAS software. Results showed that the rumination data estimated by the HealthyCow24® software and the visual observations were highly correlated (0.81; P < 0.0001). In the Bland-Altman analysis, we observed that the average of the standard deviations between the visual observation and the electronic monitoring system was - 2.14 min during a 2-h period. The upper limit (95%) was 30.61 min/2 h and the lower limit (95%) was - 34.88 min/2 h. Moreover, visual observations at intervals of up to 15 min were correlated with the data estimated by the electronic monitoring system and observed at 5-min intervals. In conclusion, the Allflex SCR electronic monitoring system is efficient in measuring the rumination time of grazing cows. Also, direct visual observations with intervals no longer than 15 min are reliable when used for evaluating the behavior of cows without losing data accuracy.
本研究旨在比较电子监测系统估算的反刍时间与放牧系统中奶牛反刍的直接视觉观察结果，并评估不同直接视觉观察时间间隔之间的一致性。为此，我们对 12 头泌乳奶牛进行了为期 11 天、每天 16 小时的观察。然后，我们将 HealthyCow24®软件提供的数据与视觉观察结果进行了比较，作为参考。之后，我们使用 SAS 软件估计了 Pearson 相关系数、线性回归和 Bland-Altman 图。结果表明，HealthyCow24®软件估算的反刍数据与视觉观察结果高度相关（0.81；P < 0.0001）。在 Bland-Altman 分析中，我们观察到视觉观察与电子监测系统之间的标准偏差平均值在 2 小时期间为-2.14 分钟。上限（95%）为 30.61 分钟/2 小时，下限（95%）为-34.88 分钟/2 小时。此外，间隔不超过 15 分钟的视觉观察与电子监测系统以 5 分钟间隔估算的数据相关。总之，Allflex SCR 电子监测系统能够有效地测量放牧奶牛的反刍时间。此外，当用于评估奶牛行为而不丢失数据准确性时，间隔不超过 15 分钟的直接视觉观察是可靠的。
