Weinert-Nelson Jennifer R, Werner Jessica, Jacobs Alayna A, Anderson Les, Williams Carey A, Davis Brittany E
Forage-Animal Production Research Unit, Agricultural Research Service, United States Department of Agriculture, Lexington, KY 40506.
Animal Nutrition and Rangeland Management in the Tropics and Subtropics, University of Hohenheim, Stuttgart, Germany 70599.
J Dairy Sci. 2025 Jan;108(1):735-749. doi: 10.3168/jds.2024-24858. Epub 2024 Aug 3.
Accelerometer-based technologies can be used for precision monitoring of feeding behaviors, but limited information is available regarding the effect of varying environmental conditions on sensor performance. The objective of this study was to determine if a commercially available ear-tag sensor (CM; CowManager SensOor, Agis Automatisering BV) could accurately quantify eating and rumination time under heat stress conditions. Data obtained from CM sensors was compared with data collected using an automated gold standard (RW; Rumiwatch System; Itin+Hoch). Automated measurements were obtained from 2 experiments in which cattle were exposed to heat stress conditions. In the principal study (experiment 1), 3,428 h of data were collected from 9 Holstein × Angus steers (470.9 ± 23.9 kg) subjected to either thermoneutral (TN; 21.0°C; 64.0% humidity; temperature-humidity index [THI] = 67; 12- and 12-h light and dark cycle; n = 1,714 h), or heat stress (HS) conditions (cyclical daily temperatures to mimic diurnal patterns; 0800-2000 h: 33.6°C, 40.0% relative humidity (RH), THI: 83.5; 2000-0800 h: 23.2°C, 70.0% RH; THI: 70.3; n = 1,714 h). Data (n = 719 h) from 6 Holstein × Angus steers (487.9 ± 9.1 kg) were obtained from a subsequent experiment (experiment 2) to confirm consistency of ear-tag accelerometer performance under elevated THI (HS conditions as described above). In experiment 1, CM was capable of quantifying rumination time with high accuracy under TN conditions (concordance correlation coefficient [CCC]: 0.75-0.81). Overall, agreement between CM and the automated gold standard declined 6% to 7% during HS, which was most apparent later in the day when cattle had been subjected to HS for multiple hours (moderate agreement; CCC: 0.68). Accuracy for rumination time was also only moderate for data collected during experiment 2 (CCC: 0.55-0.61). In contrast, CM reported total eating (eating with the head down + head up while masticating) time with moderate accuracy for TN (CCC: 0.53-0.54), only achieved negligible to low accuracy during HS (CCC: 0.39-0.44 [experiment 1] and 0.17-0.34 [experiment 2]). Sensor performance did improve when CM eating time was compared specifically to the time spent with the head down reported by RW; HS still negatively influenced sensor performance, however, with high agreement during TN (CCC: 0.72-0.73) but low to moderate agreement during HS (CCC: 0.65-0.69 [experiment 1] and 0.40-0.58 [experiment 2]). Results of this study suggest accuracy of ear-tag accelerometers may be impaired when cattle are subjected to heat stress.
基于加速度计的技术可用于精确监测采食行为,但关于不同环境条件对传感器性能的影响,现有信息有限。本研究的目的是确定一种市售的耳标传感器(CM;CowManager SensOor,Agis Automatisering BV)能否在热应激条件下准确量化采食和反刍时间。将CM传感器获得的数据与使用自动化金标准(RW;Rumiwatch系统;Itin+Hoch)收集的数据进行比较。自动化测量数据来自2项实验,实验中牛只暴露于热应激条件下。在主要研究(实验1)中,从9头荷斯坦×安格斯阉牛(470.9±23.9千克)收集了3428小时的数据,这些牛分别处于热中性(TN;21.0°C;64.0%湿度;温度湿度指数[THI]=67;12小时光照和12小时黑暗周期;n=1714小时)或热应激(HS)条件下(每日温度呈周期性变化以模拟昼夜模式;08:00-20:00小时:33.6°C,40.0%相对湿度(RH),THI:83.5;20:00-08:00小时:23.2°C,70.0%RH;THI:70.3;n=1714小时)。从随后的一项实验(实验2)中6头荷斯坦×安格斯阉牛(487.9±9.1千克)获得了数据(n=719小时),以确认在THI升高(如上所述的HS条件)下耳标加速度计性能的一致性。在实验1中,CM能够在TN条件下高精度地量化反刍时间(一致性相关系数[CCC]:0.75-0.81)。总体而言,在HS期间,CM与自动化金标准之间的一致性下降了6%至7%,这在一天中较晚的时候最为明显,此时牛已经经历了数小时的HS(中度一致性;CCC:0.68)。对于实验2期间收集的数据,反刍时间的准确性也仅为中等(CCC:0.55-0.61)。相比之下,CM对TN条件下的总采食时间(低头采食+咀嚼时抬头采食)的报告准确性中等(CCC:0.53-0.54),在HS期间仅达到可忽略不计到低的准确性(CCC:0.39-0.44[实验1]和0.17-0.34[实验2])。当将CM采食时间与RW报告的低头时间进行具体比较时,传感器性能确实有所改善;然而,HS仍然对传感器性能产生负面影响,在TN期间一致性较高(CCC:0.72-0.73),但在HS期间一致性为低至中等(CCC:0.65-0.69[实验1]和0.40-0.58[实验2])。本研究结果表明,当牛受到热应激时,耳标加速度计的准确性可能会受到损害。