EpiCentre, Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand.
J Dairy Sci. 2011 Sep;94(9):4431-40. doi: 10.3168/jds.2010-4002.
Daily walkover liveweight (WoLW) records (n=79,697) from 463 pasture-fed dairy cows from a single dairy herd in the lower North Island of New Zealand were recorded over the first 100 d of lactation. The aims of this study were to (1) describe LW records retrieved by a standalone automatic Wo daily weighing system; (2) describe the frequency and nature of outlier LW records measured by the system and develop an approach for excluding identified outlier LW records; (3) quantify the agreement between cow LW measured using the Wo system and those measured statically; and (4) describe the autocorrelation between daily LW measurements to provide an indication of how frequently management decisions need to be reviewed to effectively monitor cow LW change in the early-lactation period. The standard deviation of daily LW measurements across parities was 17 kg, on average. A near perfect association between LW measured statically and WoLW (concordance correlation coefficient 0.99, 95% CI 0.99-1.0) was observed. After controlling for the effect of LW at calving and long-term LW change using a mixed-effects linear regression model, the autocorrelation between WoLW recorded on successive days was 0.21, decaying to zero by 8 d. This study shows that by using a standalone automatic Wo weighing system positioned in the exit race of a rotary milking parlor, it was possible to record LW of individual cows on a daily basis and, with controlled cow flow over the weighing platform (allowing for sufficient succession distance to prevent congestion), results were similar to those recorded using conventional, static weighing techniques using the same scales. Based on the autocorrelation analyses, we recommend that LW are recorded on a daily basis to allow changes in physiological status such as the onset of acute illness or estrus to be detected. For managerial purposes, such as using LW change as a guide for adjusting the herd feeding program, we recommend a 7-d decision interval to effectively monitor significant changes in cows' recorded daily LW measurements.
从新西兰北岛下游的一个单一奶牛场的 463 头牧场奶牛的哺乳期前 100 天的日常过磅活重(WoLW)记录(n=79697)中获得。本研究的目的是:(1)描述由独立的自动 Wo 日常称重系统检索到的 LW 记录;(2)描述系统测量的异常 LW 记录的频率和性质,并开发一种排除确定的异常 LW 记录的方法;(3)量化 Cow 使用 Wo 系统测量的 LW 与静态测量的 LW 之间的一致性;(4)描述每日 LW 测量之间的自相关,以提供指示,说明在早期泌乳期需要多频繁地审查管理决策,以有效监测 Cow LW 的变化。各胎次的每日 LW 测量标准差平均为 17kg。LW 静态测量和 WoLW 之间存在近乎完美的关联(一致性相关系数 0.99,95%CI 0.99-1.0)。使用混合效应线性回归模型控制分娩时的 LW 效应和长期 LW 变化后,连续几天记录的 WoLW 之间的自相关为 0.21,8 天后衰减为零。本研究表明,通过在旋转挤奶厅出口通道中使用独立的自动 Wo 称重系统,可以在每天记录 Cow 的 LW,并且在称重平台上的 Cow 流动受到控制(允许有足够的后续距离以防止拥堵),结果与使用相同秤进行的常规静态称重技术相似。基于自相关分析,我们建议每天记录 LW,以便检测生理状态的变化,例如急性疾病或发情的发生。出于管理目的,例如将 LW 变化用作调整牛群饲养计划的指南,我们建议使用 7 天的决策间隔来有效监测 Cow 记录的每日 LW 测量值的显著变化。