High-producing ruminants need high-concentrate diets to satisfy their nutrient requirements and meet performance objectives. However, such diets induce sub-acute ruminal acidosis (SARA), which will adversely affect dry matter intake and lead to lower production performance. This work develops a novel modelling approach to quantify the capacity of dairy goats to adapt to a high-concentrate diet challenge at the individual level. The animal model used was dairy goats (from Saanen or Alpine breed), and rumen pH was used as the indicator of the response. A three-step modelling procedure was developed to quantify daily scores and produce a single global index for animals’ adaptive response to the new diet. The first step summarizes the post-prandial kinetics of rumen acid status using three synthetic variables. In the second step, the effect of time on the response of goats is described, in the short and long terms. In the last step, a metric based on phase trajectories ranks goats for their resilience capacity. This modelling procedure showed a high variability among the goats in response to the new diet, highlighting in particular their daily and general strategies to buffer the effect of the diet change. Two main categories of adaptive strategies were observed: (i) acid status increased, but the goats tried to minimize its variations, and (ii) acid status oscillated between increases and decreases. Such phenotyping, alongside other behavioral, digestive, and metabolic measures, can help to determine biomarkers of goats’ capacity to adapt to diets of higher nutritive value and to increase production performance without compromising their health status. Quantifying the capacity of goats to buffer the effect of highly fermentable diets helps to better adapt feed to animals in precision livestock farming. This procedure is generic and can be adapted to any indicator of animal health and performance. In particular, several indicators can be combined to assess multi-performance, which is of major interest in the context of selection for robust animals.

高产反刍动物需要高浓缩日粮来满足其营养需求并达到生产性能目标。然而，此类日粮会诱发亚急性瘤胃酸中毒（SARA），这将对干物质摄入量产生不利影响并导致生产性能下降。这项工作开发了一种新颖的建模方法来量化奶山羊在个体水平上适应高浓度饮食挑战的能力。使用的动物模型是奶山羊（来自萨能或阿尔卑斯品种），瘤胃 pH 值用作反应指标。开发了一个三步建模程序来量化每日得分并生成动物对新饮食的适应性反应的单一全局指数。第一步使用三个合成变量总结了瘤胃酸状态的餐后动力学。第二步，从短期和长期角度描述时间对山羊反应的影响。在最后一步中，基于阶段轨迹的指标对山羊的恢复能力进行排名。该建模程序显示山羊对新饮食的反应存在很大差异，特别强调了它们缓冲饮食变化影响的日常和一般策略。观察到两种主要的适应性策略：（i）酸性状态增加，但山羊试图尽量减少其变化，以及（ii）酸性状态在增加和减少之间振荡。这种表型分析与其他行为、消化和代谢测量一起，可以帮助确定山羊适应更高营养价值饮食的能力的生物标志物，并在不损害其健康状况的情况下提高生产性能。 量化山羊缓冲高发酵饲料影响的能力有助于更好地适应精准畜牧业中动物的饲料。该程序是通用的，可以适应动物健康和性能的任何指标。特别是，可以结合几个指标来评估多性能，这在选择健壮动物的背景下非常重要。