Pigs are faced with various perturbations throughout their lives, some of which are induced by management practices, others by natural causes. Resilience is described as the ability to recover from or cope with a perturbation. Using these data, activity patterns of an individual, as well as deviations from these patterns, can potentially be used to quantify resilience. Dynamic indicators of resilience (DIORs) may measure resilience on a different dimension by calculating variation, autocorrelation and skewness of activity from the absolute activity data. The aim of this study was to investigate the potential of using DIORs of activity, such as average, root mean square error (RMSE), autocorrelation or skewness as indicators of resilience to infection with the Porcine Reproductive and Respiratory Syndrome Virus (PRRSV). For this study, individual activity was obtained from 232 pigs equipped with ear tag accelerometers and inoculated with PRRSV between seven and 9 weeks of age. Clinical scores were assigned to each individual at 13 days post-challenge and used to distinguish between a resilient and non-resilient group. Mortality post-challenge was also recorded. Average, RMSE, autocorrelation and skewness of activity were calculated for the pre- and post-challenge phases, as well as the change in activity level pre- vs. post-challenge (i.e., delta). DIORs pre-challenge were expected to predict resilience to PRRSV in the absence of PRRSV infection, whereas DIORs post-challenge and delta were expected to reflect the effect of the PRRSV challenge. None of the pre-challenge DIORs predicted morbidity or mortality post-challenge. However, a higher RMSE in the 3 days post-challenge and larger change in level and RMSE of activity from pre- to post-challenge tended to increase the probability of clinical signs at day 13 post-infection (poor resilience). A higher skewness post-challenge (tendency) and a larger change in skewness from pre- to post-challenge increased the probability of mortality. A decrease in skewness post-challenge lowered the risk of mortality. The post-challenge DIOR autocorrelation was neither linked to morbidity nor to mortality. In conclusion, results from this study showed that post-challenge DIORs of activity can be used to quantify resilience to PRRSV challenge.

猪在一生中都面临着各种干扰，其中一些是由管理实践引起的，另一些是由自然原因引起的。复原力是指从干扰中恢复或应对干扰的能力。使用这些数据，个人的活动模式以及与这些模式的偏差可以潜在地用于量化弹性。动态弹性指标（DIOR）可以通过从绝对活动数据计算活动的变化，自相关和偏度来测量不同维度的弹性。这项研究的目的是研究使用DIOR活性（例如平均值，均方根误差（RMSE），自相关或偏度）作为抵抗猪繁殖与呼吸综合征病毒（PRRSV）感染能力的指标的潜力。对于这项研究，从232头装有耳标加速度计并接种7至9周龄的PRRSV的猪中获得了个体活性。攻击后第13天将临床评分分配给每个人，并用于区分弹性和非弹性组。还记录了挑战后的死亡率。计算攻击前和攻击后阶段的平均值，RMSE，活动的自相关和偏度，以及攻击前和攻击后活动水平的变化（即增量）。在没有PRRSV感染的情况下，攻击前的DIOR有望预测对PRRSV的适应力，而在攻击后的DIOR和δ则有望反映PRRSV攻击的效果。挑战前的DIOR均无法预测挑战后的发病率或死亡率。然而，攻击后3天的RMSE较高，攻击前至攻击后水平的水平和​​RMSE活性变化较大，往往会增加感染后第13天出现临床体征的可能性（复原力差）。攻击后偏度（倾向性）较高，并且从攻击前到攻击后偏度的较大变化增加了死亡的可能性。挑战后偏度的降低降低了死亡的风险。挑战后的DIOR自相关与发病率或死亡率均无关。总而言之，这项研究的结果表明，攻击后的活动DIOR可用于量化PRRSV攻击的抵抗力。攻击后偏度（倾向性）较高，并且从攻击前到攻击后偏度的较大变化增加了死亡的可能性。挑战后偏度的降低降低了死亡的风险。挑战后的DIOR自相关与发病率或死亡率均无关。总而言之，这项研究的结果表明，攻击后的活动DIOR可用于量化PRRSV攻击的抵抗力。攻击后偏度（倾向性）较高，并且从攻击前到攻击后偏度的较大变化增加了死亡的可能性。挑战后偏度的降低降低了死亡的风险。挑战后的DIOR自相关与发病率或死亡率均无关。总之，这项研究的结果表明，攻击后的活动DIOR可用于量化PRRSV攻击的适应力。