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Determining the Time Required to Detect Induced Sow Lameness Using an Embedded Microcomputer-Based Force Plate System

机译:使用基于嵌入式微机的测力板系统确定检测母猪La行所需要的时间

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Lameness in swine breeding herds is a common cause of compromised animal well-being and economic loss to pig producers. Current lameness assessment methods are subjective and require intensive training. It has been shown that embedded microcomputer-based force plate systems can detect lameness by measuring weight distributions in livestock. The objective of this study was to determine the minimum time required to record data from each individual load cell in the force plate system to obtain accurate sow weight distributions on each leg. Sound and induced lameness states were evaluated to ensure that time requirements were similar for both situations. Lameness was induced in 12 mixed parity sows on Day 0 using a chemical synovitis model. An embedded microcomputer-based force plate system measured weight bearing applied on each foot twice per second for 15 min on days -1, +1, +6 and +10 relative to lameness induction. Data were analyzed using mixed model equations with day relative to lameness induction, time period, foot and the injected foot included as fixed effects and sow within replicate included as a random effect. Results indicate sow weight distributions at 1 and 5 cumulative minutes were not different (p≥0.05) when compared to those cumulative results recorded for 10 min. Comparing weights for each minute across time identified potential data collection problems after 12 min; therefore, 10 min was considered the maximum time required for weight recordings. Results from the present study indicate that recorded data for 1 min could be used as the minimum time required to accurately assess lameness for each individual animal. Results from this study can be used to improve the embedded microcomputer-based force plate use efficiency when evaluating sow lameness.
机译:猪繁殖群的行是造成动物福祉受损和猪生产者经济损失的常见原因。当前的la行评估方法是主观的,需要强化培训。已经表明,基于嵌入式微机的测力板系统可以通过测量牲畜的体重分布来检测la行。这项研究的目的是确定记录来自力板系统中每个称重传感器数据的最短时间,以获取每条腿上精确的母猪重量分布。对声音和诱发的la行状态进行了评估,以确保两种情况下的时间要求都相似。使用化学滑膜炎模型在第0天在12只混合胎的母猪中诱发行。基于嵌入式微型计算机的测力板系统在相对于la行感应的第-1,+ 1,+ 6和+10天,每秒两次测量每只脚两次在15分钟内的负重。使用混合模型方程式分析数据,其中相对于me行诱导的天数,时间段,足部和注射的足部包括固定效应,重复内母猪包括随机效应。结果表明,与记录10分钟的累积结果相比,累积的1和5分钟的母猪体重分布没有差异(p≥0.05)。比较整个时间中每分钟的权重可确定12分钟后可能存在的数据收集问题;因此,10分钟被认为是体重记录所需的最长时间。本研究的结果表明,记录1分钟的数据可用作准确评估每只动物la行所需的最短时间。评估母猪la行度时,这项研究的结果可用于提高基于嵌入式微机的测力板的使用效率。

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