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Evaluation of infrared thermography body temperature and collar-mounted accelerometer and acoustic technology for predicting time of ovulation of cows in a pasture-based system

机译:基于牧场系统的奶牛排卵时间的红外热成像体温和颈圈加速计以及声学技术的评估

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This study was conducted to test the hypothesis that the specificity of infrared thermography (IRT) in detecting cows about to ovulate could be improved using different body parts that are less likely to be contaminated by fecal matter. In addition, the combined activity and rumination data captured by accelerometers were evaluated to provide a more accurate indication of ovulation than the activity and rumination data alone. Thermal images of 30 cows were captured for different body areas (eye, ear, muzzle, and vulva) twice daily after AM and PM milking sessions during the entire experimental period. Milk progesterone data and insemination records were used to determine the date of ovulation. Cows were fitted with SCR heat and rumination long-distance tags (SCR HR LD) for 1 month. Activity- and rumination-based estrus alerts were initially identified using default threshold values set by the manufacturer; however, a range of thresholds was also created and tested for both activity and rumination to determine the potential for higher levels of accuracy of ovulation detection. Visual assessment of mounting indicators resulted in 75% sensitivity (Se), 100% specificity (Sp), and 100% positive predictive value (PPV). Overall, IRT showed poor performance for detecting cows about to ovulate. Vulval temperature resulted in the greatest (80%) Sp but the poorest (21%) Se compared with the IRT temperatures of other body areas. The SCR HR LD tags default threshold value resulted in 78% Se, 57% Sp, and 70% PPV. Lowering the activity threshold from the default value improved the sensitivity but created a large number of false positives, which resulted in a decrease in specificity. Lowering the activity threshold to 20 resulted in a detection performance of 80% Se, 94% Sp, and 67% PPV, whereas the rumination levels achieved 35% Se, 69% Sp, and 14% PPV. The area under the curve for the activity level, rumination level, and the combined measures of activity and rumination levels were 0.82, 0.54, and 0.75, respectively. Alerts generated by SCR HR LD tags based on a lower activity threshold level had high sensitivity and may be able to detect a high proportion of cows in ovulatory periods in pasture-based system; however, the specificities and positive predictive value were lower than the visual assessment of mounting indicators. (C) 2015 Elsevier Inc. All rights reserved.
机译:进行这项研究以验证以下假设:使用不太可能受粪便污染的身体不同部位,可以提高红外热成像(IRT)在检测即将排卵的母牛中的特异性。此外,与单独的活动和反刍数据相比,对通过加速度计捕获的活动和反刍数据的组合进行了评估,以提供更准确的排卵指示。在整个实验期间,每天两次上午和下午挤奶后,分别捕获30只母牛的不同身体区域(眼睛,耳朵,枪口和外阴)的热图像。牛奶黄体酮数据和授精记录用于确定排卵日期。给母牛安装SCR加热和反刍长途标签(SCR HR LD)1个月。最初使用制造商设置的默认阈值来识别基于活动和反刍的发情警报。但是,还创建了一系列阈值,并针对活性和反刍作用进行了测试,以确定潜在的更高水平的排卵检测准确性。视觉评估安装指示剂可得到75%的灵敏度(Se),100%的特异性(Sp)和100%的阳性预测值(PPV)。总体而言,IRT在检测即将排卵的母牛方面表现不佳。与其他身体部位的IRT温度相比,外阴温度导致Sp最高(80%),而Se最差(21%)。 SCR HR LD标签的默认阈值导致Se的78%,Sp的57%和PPV的70%。将活动阈值从默认值降低可以提高灵敏度,但会产生大量的假阳性,从而导致特异性降低。将活度阈值降低到20可实现80%Se,94%Sp和67%PPV的检测性能,而反刍水平则达到35%Se,69%Sp和14%PPV。活性水平,反刍水平以及活性和反刍水平的综合量度的曲线下面积分别为0.82、0.54和0.75。 SCR HR LD标签基于较低的活动阈值水平生成的警报具有较高的敏感性,并且可能能够在基于牧场的系统中在排卵期检测到高比例的母牛;但是,其特异性和阳性预测值低于对安装指标的目测评估。 (C)2015 Elsevier Inc.保留所有权利。

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