The parameterisation process of a previously developed modelling structure of the grapevine-downy mildew pathosystem is described. The model incorporates primary and secondary infections, host crop growth and development, along with a linkage between disease on foliage and disease on clusters. This process-based model was developed with a main objective of understanding the behaviour of the pathosystem under different, variable, environmental conditions, or under climate change. Six scenarios of disease conduciveness were developed in order to capture the range of environmental conditions under which potential downy mildew of grapevine epidemics can develop. These climate scenarios were based on moisture and temperature factors. The scenarios were translated into vectors of parameters for primary and secondary infections in the model. Model testing was performed in three steps: (i) an analysis of potential epidemics was conducted from the literature on grapevine downy mildew in order to delineate the behaviour of the pathosystem under different scenarios; (ii) a simulation experiment was conducted to investigate the response of the model to different patterns of environmental conditions, corresponding to six scenarios of disease conduciveness; and (iii) expected and simulated epidemics under these scenarios were compared. In scenarios, the model mobilised existing quantitative information on downy mildew of grapevine and generated outputs that are congruent with expected patterns of potential epidemic. This study indicates that the model is a reliable tool for simulating accurate and robust potential epidemics of downy mildew of grapevine in a scenario analysis. This can have many applications, such as the understanding of the behaviour of the pathosystem under climate change or when partial host resistance is involved.

描述了先前开发的葡萄-霜霉病病理系统建模结构的参数化过程。该模型结合了原发性和继发性感染，寄主作物的生长和发育，以及叶子上的病害和簇上的病害之间的联系。开发基于过程的模型的主要目的是了解病理系统在不同，可变，环境条件或气候变化下的行为。开发了六种有益于疾病的方案，以捕获可在其下发展出葡萄流行病的潜在霜霉病的环境条件。这些气候情景基于湿度和温度因素。将方案转换为模型中原发和继发感染的参数向量。模型测试分三个步骤进行：（i）从文献中对葡萄霜霉病进行了潜在的流行病分析，以描绘不同情况下病原体的行为；（ii）进行了模拟实验，以研究该模型对不同环境条件模式的响应，这些模式对应于六种导致疾病的情况；（iii）比较了在这些情况下的预期和模拟流行病。在某些情况下，该模型动员了有关葡萄霜霉病的现有定量信息，并产生了与潜在流行病的预期模式一致的产出。这项研究表明，该模型是在情景分析中模拟准确，可靠的葡萄霜霉病潜在流行病的可靠工具。