Developing a ruminal physiologically based model for the evaluation of dietary structural effectiveness in high-yielding dairys cows (Entwicklung eines ruminal-physiologischen Modells zur Bewertung der Strukturwirksamkeit von Rationen bei Hochleistungsmil

饲粮结构有效性的评估是奶牛营养的一个重要方面，因为它影响瘤胃消化过程、养分利用和动物健康，从而影响奶牛的生产力。这一方面在高产奶牛饲养中尤其重要，因为奶牛获得了高干物质摄入量，并增加了对代谢性疾病的易感性。虽然已经开发了几个评价系统，但到目前为止还没有一个唯一和无可辩驳的模型可以接受，因为所有的系统都是基于经验建立的，主要是基于咀嚼活动或乳脂维持对不同个体饲料的反应，而没有考虑瘤胃中重要的生理过程。在目前提出的模型中，将动态、机械地整合网状瘤胃内生理微生物参数、层积特性、消化过程和颗粒动力学的生理途径，以定义健康的瘤胃生态系统，并为建立一个独特的、基于生理的模型来预测高产奶牛的结构有效性和支持纤维配给奠定基础。为了该模型的参数化和校准目的，将包括最近从广泛研究中获得的原始数据，同时将使用来自同行评议的出版的国际文献的数据进行敏感性分析和验证。

Evaluation of dietary structural effectiveness is an important aspect in dairy cow nutrition, because this affects ruminal digestive processes, nutrient utilisation and animal health, and hence dairy productivity. This aspect gains importance especially in high-yielding dairy cow feeding, because of a high dry matter intake acquired and increased susceptibility to metabolic diseases. Although several evaluation systems have been developed, no unique and incontestable model could be accepted so far, because all systems are empirically established, based mainly on the response of chewing activity or milk fat maintenance to different individual feeds, while important physiological processes in the rumen are not accounted for. In the proposed current model, the physiological pathways of compartmental differences in reticulorumen concerning physiological-microbiological parameters along with mat stratification characteristics, digestive processes and particle kinetics will be dynamically, mechanistically integrated for defining a healthy rumen ecosystem, and to establish the basis for a unique, physiologically based model to predict the structural effectiveness and support fibre rationing in high-yielding dairy cows. For parameterization and calibration purposes of this model, original data recently obtained from extensive research studies will be included, while sensitivity analysis and validation will be performed using data from peer-reviewed, published international literature.