Laboratory of Animal Productions, Biotechnologies and Health, Institute of Agronomic and Veterinary Sciences, University of Souk-Ahras, BP 41000, Souk Ahras, Algeria.
Department of Biology of Living Organisms, Faculty of Natural and Life Sciences, University of Batna 2, Batna (05110), Algeria.
Trop Anim Health Prod. 2022 Jul 20;54(4):232. doi: 10.1007/s11250-022-03242-3.
The present study was designed to verify the effectiveness of the image analysis method for body measurement in dromedary camel compared to manual measurements as a reference method. To achieve this aim, twenty-one linear body measurements were estimated on 59 adult Sahraoui dromedary camels (22 males and 37 females) with a normal clinical condition by using a measuring stick or vernier caliper (standard method). On the other hand, image analysis on profile, front, or behind photographs was processed using Axiovision Software. Overall mean comparison, relative error, variance, Pearson's correlation coefficient, and coefficient of variance showed that the image analysis method was accurate in relation to the manual measurement. Furthermore, image analysis results indicated relevant accuracy (bias correction factor, C ≈1) and precision (Pearson ρ ≈1) which were significantly correlated with the results of the reference method (Lin's concordance correlation coefficients r ≈ 1). According to Bland-Altman upper and lower limits of agreement, the concordance was estimated between 93.22 and 98.3%. Passing-Bablok regression showed a good relationship between the results of the two methods displaying no significant systematic and proportional bias. The image analysis method for linear body measurements in dromedary camel showed results that are in agreement with the manual measuring method. Therefore, the image analysis could be considered a valid tool for camel conformation trait studies.
本研究旨在验证体尺图像分析方法在单峰驼中的有效性,与手动测量作为参考方法进行比较。为了达到这个目的,我们使用测量棒或游标卡尺(标准方法)对 59 头成年撒拉威单峰驼(22 头雄性和 37 头雌性)进行了 21 个体线性体尺测量。另一方面,我们使用 Axiovision 软件对侧面、正面或背面的照片进行图像分析。总体均值比较、相对误差、方差、皮尔逊相关系数和变异系数表明,图像分析方法与手动测量具有高度的准确性。此外,图像分析结果表明具有良好的准确性(偏差校正因子,C≈1)和精密度(皮尔逊 ρ≈1),与参考方法的结果显著相关(Lin 的一致性相关系数 r≈1)。根据 Bland-Altman 一致性界限,两种方法之间的一致性估计在 93.22%至 98.3%之间。通过 Passing-Bablok 回归显示,两种方法的结果具有良好的相关性,没有显著的系统和比例偏差。单峰驼线性体尺的图像分析方法得到的结果与手动测量方法一致。因此,图像分析可以被认为是研究骆驼体型特征的有效工具。