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首页> 外文期刊>Veterinary World >Investigation of body and udder skin surface temperature differentials as an early indicator of mastitis in Holstein Friesian crossbred cows using digital infrared thermography technique
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Investigation of body and udder skin surface temperature differentials as an early indicator of mastitis in Holstein Friesian crossbred cows using digital infrared thermography technique

机译:数字红外热成像技术研究荷斯坦黑白花奶牛乳腺和皮肤表面温度差异作为乳腺炎的早期指标

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摘要

Aim: The objective of this study was to investigate the ability of infrared thermography (IRT) technique and its interrelationship with conventional mastitis indicators for the early detection of mastitis in Holstein Friesian (HF) crossbred cows. Materials and Methods: A total of 76 quarters of lactating HF crossbred ( Bos indicus ? Bos taurus ) cows (n=19) were monitored for body temperature (i.e., eye temperature) and udder skin surface temperature (USST) before milking using forward-looking infrared (FLIR) i5 camera. Milk samples were collected from each quarter and screened for mastitis using Somatic Cell Count (SCC), Electrical Conductivity (EC), and California mastitis test. Thermographic images were analyzed using FLIR Quick Report 1.2 image analysis software. Data on body and USST were compiled and analyzed statistically using SPSS 16.0 and Sigmaplot 11. Results: The mean?standard deviation (SD) body (37.23?0.08?C) and USST (37.22?0.04?C) of non-mastitic cow did not differ significantly; however, the mean USST of the mastitis-affected quarters were significantly higher than the body temperature and USST of unaffected quarters (p 37.61?C. Conclusion: It is concluded that infrared thermal imaging technique could be used as a potential noninvasive, quick cowside diagnostic technique for screening and early detection of SCM and clinical mastitis in crossbred cows.
机译:目的:本研究的目的是研究红外热成像(IRT)技术及其与常规乳腺炎指标之间的相互关系,以早期发现荷斯坦·弗里斯兰(HF)杂交奶牛的乳腺炎。材料和方法:在挤奶前,对总共76个季度的哺乳期HF杂交(Bos indicus?Bos taurus)奶牛(n = 19)进行体温(即眼温)和乳房皮肤表面温度(USST)监测,方法为:红外(FLIR)i5相机。从每个季度收集牛奶样品,并使用体细胞计数(SCC),电导率(EC)和加利福尼亚乳腺炎测试筛查乳腺炎。使用FLIR Quick Report 1.2图像分析软件分析热成像图像。使用SPSS 16.0和Sigmaplot 11对身体和USST的数据进行汇总和统计分析。结果:非乳牛的平均标准偏差(SD)身体(37.23?0.08?C)和USST(37.22?0.04?C)做到了。没有显着差异;然而,受乳腺炎影响的四分之一的平均USST显着高于未受感染的四分之一的体温和USST(p 37.61?C。结论:结论:红外热成像技术可以用作潜在的无创,快速的牛侧诊断杂交母牛的SCM和临床乳腺炎的筛查和早期检测技术。

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