Guccione Jacopo, D'Andrea Luigi, Alsaaod Maher, Borriello Giuliano, Steiner Adrian, Ciaramella Paolo
Department of Veterinary Medicine and Animal Productions,University of Napoli 'Federico II,' Via Delpino 1,80137 Napoli,Italy.
Clinic for Ruminants, Department of Clinical Veterinary Medicine, Vetsuisse-Faculty,University of Bern,Bern 3001,Switzerland.
J Dairy Res. 2019 Feb;86(1):40-42. doi: 10.1017/S0022029919000074. Epub 2019 Feb 7.
This research communication addresses the goal of validating an algorithm to monitor natural occurrence of feeding behaviours in dairy Mediterranean buffalo based on the output of a noseband pressure sensor (RumiWatch®, halter). Several characteristics of the feeding behaviour were detected with a very high (ruminating boluses), high (chews per bolus) and moderate degree of correlation (chews per minute) with video analyses (gold standard). All of them were associated with a low mean difference with the gold standard, and the mean relative measurement error ranged between low (ruminating boluses) and moderate (chews per bolus and chews per minute). The proportion of correctly detected events for the variables rumination and eating time was 98 and 99%, respectively. The collection of data and subsequent evaluation of the parameters investigated may provide objective information on Mediterranean Buffalo behaviours allowing for reliable studies of the animal welfare in this ruminant in the future.
本研究通讯旨在验证一种算法,该算法基于鼻带压力传感器(RumiWatch®,缰绳)的输出,监测地中海乳用水牛采食行为的自然发生情况。通过视频分析(金标准)检测到采食行为的几个特征,与视频分析具有非常高的相关性(反刍食团)、高相关性(每食团咀嚼次数)和中等程度的相关性(每分钟咀嚼次数)。所有这些特征与金标准的平均差异都很低,平均相对测量误差在低(反刍食团)到中等(每食团咀嚼次数和每分钟咀嚼次数)之间。反刍和采食时间变量的正确检测事件比例分别为98%和99%。所收集的数据以及对所研究参数的后续评估,可为地中海水牛的行为提供客观信息,以便未来对这种反刍动物的动物福利进行可靠研究。