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

评价饲粮结构的有效性是奶牛营养的一个重要方面，因为这影响到瘤胃消化过程、营养物质利用和动物健康，从而影响到奶牛的生产力。这方面在高产奶牛饲养中尤其重要，因为获得的干物质摄入量高，对代谢疾病的易感性增加。虽然已经开发了几种评估系统，但迄今为止还没有一个独特的、无可争议的模型可以接受，因为所有的系统都是经验建立的，主要基于咀嚼活动或乳脂维持对不同饲料的反应，而没有考虑到瘤胃中重要的生理过程。在目前提出的模型中，网状胃区室差异的生理途径，包括生理微生物参数、垫层特征、消化过程和颗粒动力学，将被动态、机械地整合在一起，以定义一个健康的瘤胃生态系统，并为一个独特的、基于生理学的模型奠定基础，以预测高产奶牛的结构有效性和支持纤维配给。为了该模型的参数化和校准目的，将包括最近从广泛的研究中获得的原始数据，而敏感性分析和验证将使用同行评审的、已发表的国际文献中的数据进行。

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.