School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camden, NSW 2570, Australia; Malaysian Agricultural Research and Development Institute (MARDI), Serdang, 43400 Selangor, Malaysia; Sydney Institute of Agriculture, The University of Sydney, NSW 2006, Australia.
School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camden, NSW 2570, Australia; Sydney Institute of Agriculture, The University of Sydney, NSW 2006, Australia.
J Dairy Sci. 2021 Jul;104(7):8202-8213. doi: 10.3168/jds.2020-19912. Epub 2021 Apr 15.
Monitoring and detecting individual cows' liveweight (LW) and liveweight change (LWC) are important for estimation of nutritional requirements and health management, and could be useful to measure short-term feed intake, water consumption, defecation, and urination. Walk-over weighing (WOW) systems can facilitate measurements of LW for these purposes, providing automated LW recorded at different times of the day. We conducted a field study to (1) quantify the contribution of feed and water intake, as well as urine and feces excretions, to short-term LWC and (2) determine the feasibility of stationary and WOW scales to detect subtle changes in LW as a result of feed and water intake, urination, and defecation. In this experiment, 10 cows walked through a WOW system and then stood individually on a stationary scale collecting weights at 10 and 3.3 Hz, respectively. Cows were offered 4 kg of feed and 10 kg of water on the stationary scale. For each animal, LW before and after eating and drinking was then calculated using different approaches. Liveweight change was calculated as the difference between the initial and final LW before and after eating and drinking for each statistical measure. The weights of feed intake, water consumption, urination, and defecation were measured and used as predictors of LWC. Urine and feces were collected from individual cows while the cow was on the scale, using a container, and weighed separately. The agreement between LWC measured using either stationary or WOW scales was assessed to determine the sensitivity of the scales to detect subtle changes in LW using the coefficient of determination (R), Lin's concordance correlation coefficient (CCC), and mean bias. The prediction model showed that most of the regression coefficients were not significantly different from +1.0 for feed and water, or -1.0 for urine and feces. The R and CCC values demonstrated a satisfactory agreement between calculated and stationary LWC and values ranged from 0.60 to 0.92 and 0.71 to 0.94, respectively. A moderate agreement was achieved between calculated and automated LWC with R and Lin's CCC values of 0.45 to 0.63 and 0.60 to 0.74, respectively. Therefore, results demonstrated that new algorithms and data processing methods need to be continuously explored and improved to obtain accurate measurements of LW to measure changes in LW, especially from WOW scales.
监测和检测个体奶牛的活重(LW)和活重变化(LWC)对于估计营养需求和健康管理非常重要,并且可以用于测量短期采食量、水摄入量、排便和排尿量。走式称重(WOW)系统可以方便地进行这些目的的 LW 测量,提供不同时间自动记录的 LW。我们进行了一项现场研究,(1)量化饲料和水摄入以及尿液和粪便排泄对短期 LWC 的贡献,以及(2)确定固定和 WOW 秤检测由于饲料和水摄入、排尿和排便而导致的 LW 细微变化的可行性。在该实验中,10 头奶牛穿过 WOW 系统,然后分别单独站在固定秤上,分别以 10Hz 和 3.3Hz 的频率收集重量。在固定秤上为每头奶牛提供 4kg 的饲料和 10kg 的水。对于每个动物,使用不同的方法计算进食和饮水前后的 LW。活重变化是根据进食和饮水前后的初始和最终 LW 计算的,每种统计方法都有所不同。测量饲料摄入量、水消耗量、排尿量和排便量,并将其用作 LWC 的预测因子。在奶牛站在秤上时,使用容器从个体奶牛中收集尿液和粪便,并分别称重。评估使用固定或 WOW 秤测量的 LWC 之间的一致性,以确定秤检测使用决定系数(R)、Lin 的一致性相关系数(CCC)和平均偏差检测 LW 细微变化的灵敏度。预测模型表明,对于饲料和水,大多数回归系数与+1.0 或 -1.0 没有显著差异,对于尿液和粪便。R 和 CCC 值表明计算的和固定的 LWC 之间存在令人满意的一致性,范围分别为 0.60 至 0.92 和 0.71 至 0.94。计算的和自动 LWC 之间达成了中等程度的一致性,R 和 Lin 的 CCC 值分别为 0.45 至 0.63 和 0.60 至 0.74。因此,结果表明需要不断探索和改进新的算法和数据处理方法,以获得准确的 LW 测量值,以测量 LW 的变化,特别是来自 WOW 秤的变化。