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发情警报评估与特征描述以及由耳附加速计为基础的发情自动检测系统生成的行为参数。

Evaluation and characterization of estrus alerts and behavioral parameters generated by an ear-attached accelerometer-based system for automated detection of estrus.

机构信息

Department of Animal Science, Cornell University, Ithaca, NY 14853.

Department of Animal Science, Cornell University, Ithaca, NY 14853.

出版信息

J Dairy Sci. 2021 May;104(5):6222-6237. doi: 10.3168/jds.2020-19667. Epub 2021 Mar 6.

Abstract

Our objectives were to evaluate the performance of an ear-attached automated estrus detection (AED) system (Smartbow; Zoetis) that monitored physical activity and rumination time, and to characterize AED system estrus alert features (i.e., timing and duration). Lactating Holstein cows (n = 216) commenced a protocol for the synchronization of estrus at 50 ± 3 DIM or 18 ± 3 d after artificial insemination. For 7 d after induction of luteolysis with PGF (d 0), we used visual observation of estrous behavior (30 min, 2 times per day) and data from an automated mounting behavior monitoring system based on a pressure-activated tail-head sensor (HeatWatch; Cowchips LLC) as a reference test (RTE) to detect behavioral estrus. Concomitantly, estrus alerts and their features were collected from the AED system. Progesterone levels confirmed luteal regression, and transrectal ultrasonography confirmed the occurrence and timing of ovulation. Performance metrics for the AED system were estimated with PROC FREQ in SAS, using the RTE or ovulation only as a reference. Performance was also estimated after the removal of cows with a discrepancy between the RTE and ovulation. Continuous outcomes with or without repeated measurements were evaluated by ANOVA using PROC MIXED in SAS. Based on the RTE, 86.6% (n = 187) of the cows presented estrus and ovulated; 1.4% (n = 3) presented estrus and did not ovulate; 6.4% (n = 14) did not present estrus but ovulated; and 5.6% (n = 12) did not present estrus or ovulation. We found no difference in the proportion of cows detected in estrus and with ovulation for the AED system (83.4%) and the RTE (86.6%). Compared with estrus events as detected by the RTE, sensitivity for the AED was 91.6% (95% CI: 87.6-95.5) and specificity was 69.2% (95% CI: 51.5-87.0). Using ovulation as reference, sensitivity was 89.6% (95% CI: 85.3-93.8) and specificity was 86.7% (95% CI 69.5-100). For all cows with agreement between the RTE and ovulation, sensitivity was 92.5% (95% CI: 88.7-96.3) and specificity was 91.7% (95% CI: 76.0-100). The mean (±SD) interval from induction of luteolysis to estrus alerts, estrus alert duration, and the onset of estrus alerts to ovulation interval were 72.2 ± 18.1, 13.5 ± 3.8, and 23.8 ± 7.1 h, respectively. We concluded that an ear-attached AED system that monitored physical activity and rumination time was effective at detecting cows in estrus and generated few false positive alerts when accounting for ovulation, cow physiological limitations, and the limitations of the RTE.

摘要

我们的目标是评估一种耳朵附着式自动发情检测(AED)系统(Zoetis 的 Smartbow)的性能,该系统监测身体活动和反刍时间,并描述 AED 系统发情警报的特征(即时间和持续时间)。哺乳期荷斯坦奶牛(n=216)在 50±3 DIM 或人工授精后 18±3 d 开始进行发情同步方案。在诱导黄体溶解后第 7 天(d0),我们使用视觉观察发情行为(30 分钟,每天 2 次)和基于压力激活尾头传感器的自动交配行为监测系统(HeatWatch;Cowchips LLC)的数据作为参考测试(RTE)来检测行为发情。同时,从 AED 系统收集发情警报及其特征。孕酮水平证实黄体退化,经直肠超声检查证实排卵的发生和时间。使用 SAS 中的 PROC FREQ 估计 AED 系统的性能指标,仅使用 RTE 或排卵作为参考。在去除 RTE 和排卵之间存在差异的牛后,也对性能进行了估计。使用 SAS 中的 PROC MIXED 对具有或不具有重复测量的连续结果进行方差分析。根据 RTE,86.6%(n=187)的奶牛表现发情并排卵;1.4%(n=3)表现发情但未排卵;6.4%(n=14)未表现发情但排卵;5.6%(n=12)既未表现发情也未排卵。我们发现,AED 系统(83.4%)和 RTE(86.6%)检测发情和排卵的奶牛比例没有差异。与 RTE 检测到的发情事件相比,AED 的敏感性为 91.6%(95%CI:87.6-95.5),特异性为 69.2%(95%CI:51.5-87.0)。以排卵为参考,敏感性为 89.6%(95%CI:85.3-93.8),特异性为 86.7%(95%CI 69.5-100)。对于 RTE 和排卵之间存在一致性的所有奶牛,敏感性为 92.5%(95%CI:88.7-96.3),特异性为 91.7%(95%CI:76.0-100)。从黄体溶解诱导到发情警报、发情警报持续时间和发情警报开始到排卵间隔的平均(±SD)时间分别为 72.2±18.1、13.5±3.8 和 23.8±7.1 h。我们得出结论,一种耳朵附着式的 AED 系统,监测身体活动和反刍时间,可以有效地检测发情的奶牛,并在考虑排卵、奶牛生理限制和 RTE 限制的情况下,生成很少的假阳性警报。

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