Measure and characterization of lameness in gestating sows using force plate, kinematic, and accelerometer methods
Measure and characterization of lameness in gestating sows using force plate, kinematic, and accelerometer methods
复制标题
DOI：
10.2527/jas.2014-7865
复制
发表时间：
2014-12-01
影响因子：
3.3
通讯作者：
Devillers, N.
中科院分区：
文献类型：
--
作者：
Conte, S.;Bergeron, R.;Devillers, N.
目的是通过使用由4个独立平台组成的测力板测量四肢上的重量分布来评估母猪的跛行。每个测力板由4个单端梁测力元件组成。在15分钟的时间内，以每秒14个读数的平均速率记录重量。10头母猪（5头瘸腿母猪和5头健全母猪）在2个不同的日子称重2次，以评估该措施的重复性。然后在2个不同的地点选择61头母猪，使用3分评分系统（0 =步态正常；1 =步态异常，和/或僵硬；2 =步幅缩短，和/或母猪体重减少或避免将体重放在一条腿上）对跛行进行视觉评分。利用测力板（体重百分比、对侧腿施加的重量之比、体重移动、负重和卸重幅度）、运动学（速度、步幅、摆动时间、站立时间、足部高度、腕跗骨关节角度平均值和幅度）和加速度计（24小时内站立时间、进食过程中踩步行为的频率、分娩后躺下的潜伏期）记录每头母猪的各项指标。测力板各测量值的母猪内CV值均小于15%，重复性好。在力板测量中，只有重量转移频率和对侧腿施加的重量之间的比例在跛行评分之间存在差异。得分为2分的母猪前腿（P = 0.0003）和后腿（P = 0.0007）的体重转移频率高于得分为0分和1分的母猪。随着后肢跛行评分的增加，对侧腿施加的重量之比降低（P = 0.014）。然而，这些指标在不同地点之间也存在差异（P < 0.01）。这些差异可能是由于各种原因造成的，包括但不限于遗传和住房系统。然而，结果表明，力板测量，如在一对腿之间施加的重量不对称和重量移动是跛行的良好指标。前肢和后肢的多变量分析显示，与动物运动相关的变量（来自运动学的测量）和与动物静止相关的变量（来自测力板和加速度计的测量）之间存在独立性。因此，需要采用静态和动态两种方法来检测各种跛足母猪。
The objective was to assess sows' lameness by measuring weight distribution on limbs using a force plate made up of 4 individual platforms each resting on 4 single-ended beam load cells. The weight was recorded at an average rate of 14 readings per s over a 15 min period. Ten sows (5 lame sows and 5 sound sows) were weighed twice on 2 different days to assess the repeatability of the measure. Sixty-one sows were then selected in 2 different sites and visually scored for lameness, using a 3-point scoring system (0 = normal gait; 1 = abnormal gait, and/or stiffness; and 2 = shortened stride, and/or the sow puts less weight or avoids putting weight on 1 leg). Various measures were recorded from each sow using the force plate (percentage of weight, the ratio between the weights applied by contralateral legs, weight shifting, and amplitude of weight bearing and weight removing), kinematics (speed, stride length, swing time, stance time, foot height, and carpal and tarsal joints angle average and amplitude), and accelerometers (time spent standing during 24 h, frequency of stepping behavior during feeding, and latency to lie down after feed delivery). The within-sow CV for each measure taken from the force plate were lower than 15%, which reflects a good repeatability. Among force plate measures, only the weight shifting frequency and the ratio between the weights applied by contralateral legs differed between lameness scores. Sows that scored 2 had a higher frequency of weight shifting for fore legs (P = 0.0003) and hind legs (P = 0.0007) than sows scored 0 and 1. The ratio between the weights applied by contralateral legs decreased with the increase of lameness score for the hind limbs (P = 0.014). However, these measures also differed between sites (P < 0.01). These differences may be due to various reasons, including but not limited to genetics and housing systems. Nevertheless, the results suggest that force plate measures such as the asymmetry in the weight applied between a pair of legs and weight shifting are good indicators of lameness. Multivariate analysis on fore and hind legs showed independency between variables related to animals in movement (measures from kinematics) and variables related to static animals (measures from the force plate and accelerometers). Therefore, both static and dynamic methods need to be used to detect various lame sows.