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评估自动化红外热成像和外阴暴露跟踪作为商业奶牛群发情检测平台的组成部分。

Evaluating automated infrared thermography and vulva exposure tracking as components of an estrus detection platform in a commercial dairy herd.

机构信息

Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.

Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada; Animal Inframetrics Inc., Box 5451, Lacombe, AB T4L 1X2, Canada.

出版信息

Animal. 2022 Aug;16(8):100585. doi: 10.1016/j.animal.2022.100585. Epub 2022 Jul 25.

Abstract

The primary objective of this study was to develop an automated infrared thermography platform (Estrus BenchMark) capable of measuring skin temperature and tail movements as a means of identifying cows in estrus. The secondary objective was to evaluate the accuracy of Estrus BenchMark to detect estrus compared to in-line milk progesterone (P) analysis (Herd Navigator System) in a commercial dairy herd managed under a robotic milking system. Data were collected on forty-six cows from 45 to 120 d after calving. Cows were flagged in estrus when milk P fell below 5 ng/mL. The Estrus BenchMark true positive estrus alerts (Sensitivity; Se%) were compared to Herd Navigator System estrus alerts at different time-windows (±12 h, ±24 h, ±48 h, and ±72 h) relative to the Estrus BenchMark estrus alerts for all the estrus alerts (AE) and confidence-quality estrus (CQE; >80% quality) alerts identified by Herd Navigator System. The Estrus BenchMark captured skin temperature and tail movements resulting in vulva exposure (left tail movements, LTail; right tail movements, RTail; and pooled tail movements, PTail) for each milking event. Skin temperature tended to increase when the milk P concentration (Least-Squares Means ± SE) dropped for AE (estrus day [d 0]; P; 3.51 ± 0.05 ng/mL, Skin temperature; 33.31 ± 2.38 °C) compared with d -7 (P; 20.22 ± 0.73 ng/mL; Skin temperature: 32.05 ± 3.77 °C). The increase in skin temperature, however, was significant in cows with CQE > 80% at d 0 (32.75 ± 0.29 °C) compared to d -7 (31.80 ± 0.28 °C). The prevalence of tail movements to expose vulva was greater (P = 0.01) in AE at d 0 (LTail: 62.50%; PTail; 68.75%; and RTail: 56.25%) compared with d -7 (LTail: 18.75%; PTail: 9.37%: and RTail: 9.37%), and d +4 (LTail: 9.37%; PTail: 9.37%; and RTail: 12.5%). Moreover, the higher prevalence of tail movements at d 0 was observed in cows with CQE > 80% (LTail; 65%, PTail; 80%, and RTail; 70%) compared to those with CQE < 80%. The highest Estrus BenchMark Youden index (YJ; 0.45), diagnostic odds ratio (DOR; 9.04), and Efficiency (0.77) were achieved for AE in a ±48 h window and at ±72 h window for CQE (YJ; 0.66, DOR; 25.29, and Efficiency 0.76) relative to Herd Navigator System estrus alerts. The highest Estrus BenchMark resulted in 58% estrus detection rates for AE and 80% for cows with CQE compared to the Herd Navigator System.

摘要

本研究的主要目的是开发一种自动化的红外热成像平台(发情 BenchMark),能够测量皮肤温度和尾巴运动,以此识别发情牛。次要目的是评估 Estrus BenchMark 与在线牛奶孕激素(P)分析(Herd Navigator System)相比,在使用机器人挤奶系统管理的商业奶牛场中检测发情的准确性。在产后 45 至 120 天内,对 46 头奶牛进行了数据收集。当牛奶 P 下降到 5ng/mL 以下时,奶牛被标记为发情。Estrus BenchMark 的真阳性发情警报(敏感性;Se%)与 Herd Navigator System 在不同时间窗口(±12 小时、±24 小时、±48 小时和±72 小时)的发情警报进行了比较,这些发情警报是根据 Herd Navigator System 识别的所有发情警报(AE)和置信质量发情(CQE;>80%质量)警报确定的。Estrus BenchMark 捕获了皮肤温度和尾巴运动,导致外阴暴露(左尾运动,LTail;右尾运动,RTail;和尾运动总和,PTail)在每次挤奶事件中。当牛奶 P 浓度(最小二乘均值±SE)下降时,皮肤温度往往会升高(发情日 [d0];P;3.51±0.05ng/mL,皮肤温度;33.31±2.38°C)与 d-7 相比(P;20.22±0.73ng/mL;皮肤温度:32.05±3.77°C)。然而,在 CQE>80%的奶牛中,d0 时的皮肤温度升高更为显著(32.75±0.29°C),与 d-7 时(31.80±0.28°C)相比。在外阴暴露的尾巴运动方面,发情日(d0)的尾巴运动更为常见(P=0.01),LTail:62.50%;PTail:68.75%;和 RTail:56.25%)与 d-7 相比(LTail:18.75%;PTail:9.37%:和 RTail:9.37%),以及 d+4(LTail:9.37%;PTail:9.37%;和 RTail:12.5%)。此外,在 CQE>80%的奶牛中,d0 时尾巴运动的发生率更高(LTail:65%,PTail:80%,RTail:70%)与 CQE<80%的奶牛相比。Estrus BenchMark 的最高 Youden 指数(YJ;0.45)、诊断比值比(DOR;9.04)和效率(0.77)是在±48 小时窗口内对 AE 获得的,在±72 小时窗口内对 CQE(YJ;0.66,DOR;25.29,和效率 0.76)与 Herd Navigator System 发情警报相比。Estrus BenchMark 的发情检测率最高,AE 为 58%,CQE 为 80%,而 Herd Navigator System 为 80%。

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