ZAFT e.V., Centre for Applied Research and Technology, Dresden, Germany.
ZAFT e.V., Centre for Applied Research and Technology, Dresden, Germany; HTW Dresden - University of Applied Sciences, Dresden, Germany.
Poult Sci. 2022 Sep;101(9):102022. doi: 10.1016/j.psj.2022.102022. Epub 2022 Jun 28.
For the standardized assessment of plumage damage in laying hens, imaging techniques can be used in addition to visual plumage scoring (PS). In this study, the diagnostic accuracy of infrared thermography (IRT) was analyzed in white-feathered (WL) and brown-feathered laying hens (BL) with PS as a reference. In 28 flocks, a 3-level PS and IRT were performed 8 times for the dorsal neck, back, and belly plumage. A total of 3,600 records for WL and 7,600 records for BL were available for both PS and IRT in each of the 3 body regions. Receiver operating characteristic (ROC) analyses were used to investigate diagnostic accuracy. High-accuracy detection was found for severe plumage damage on the back (WL-sensitivity: 96.0%, specificity: 98.3%; BL-sensitivity: 96.1%, specificity: 98.9%) and belly plumage (WL-sensitivity: 96.3%, specificity: 95.7%; BL-sensitivity: 95.3%, specificity: 97.2%), but insufficient accuracy for distinguishing between intact plumage and moderate plumage damage in all 3 body regions (sensitivity: 31.7-71.5%; specificity: 70.4-98.1%). The area under the curve (AUC) of the ROC graphs differed significantly between BL and WL for the back and belly plumage (P ≤ 0.05). We concluded that IRT is a suitable tool to objectively detect severe plumage damage but not for early detection of incipient plumage loss.
为了对蛋鸡的羽毛损伤进行标准化评估,除了视觉羽毛评分(PS)外,还可以使用成像技术。在这项研究中,以 PS 为参考,分析了红外热成像(IRT)在白羽(WL)和褐羽(BL)蛋鸡中的诊断准确性。在 28 个鸡群中,对背部、背部和腹部羽毛进行了 3 级 PS 和 IRT 评估,共获得了 3600 个 WL 和 7600 个 BL 的记录。使用接收者操作特征(ROC)分析来研究诊断准确性。背部和腹部严重羽毛损伤的高准确率检测结果发现(WL-敏感性:96.0%,特异性:98.3%;BL-敏感性:96.1%,特异性:98.9%),但在所有 3 个身体区域中,区分完整羽毛和中度羽毛损伤的准确率不足(敏感性:31.7-71.5%;特异性:70.4-98.1%)。ROC 曲线的 AUC 在背部和腹部羽毛方面,BL 和 WL 之间存在显著差异(P ≤ 0.05)。我们得出结论,IRT 是一种客观检测严重羽毛损伤的合适工具,但不能用于早期检测羽毛损失。