Global Sensitivity Analysis of the Process-Based Wheat Simulation Model SiriusQuality1 Identifies Key Genotypic Parameters and Unravels Parameters Interactions

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• 作者：Jianqiang He ; Pierre Stratonovitch ; Vincent Allard ; Mikhail A. Semenov ; Pierre Martre
• 关键词：Crop simulation model ; genetic algorithm ; genotypic parameter ; parameter optimisation
• 刊名：Procedia - Social and Behavioral Sciences
• 出版年：2010
• 出版时间：2010
• 年：2010
• 卷：2
• 期：6
• 页码：7676-7677
• 全文大小：128 K

文摘

Improving crop performance to satisfy an increasing demand for agricultural products is a constant challenge to plant scientists. The recent improvements of process-based simulation models offer new avenues to explore variations of genetic traits on crop performance. In this study, global sensitivity analyses were performed using the Morris and Sobol’ methods sequentially to identify influential parameters of the SiriusQuality1 wheat simulation model. Twenty three influential parameters were identified. The response of the model outputs to these parameters was analyzed. A genetic algorithm with self-adaptation was then developed to optimize these parameters for 16 genotypes of wheat and to define the minimum set of parameters needed to simulate genetic differences in grain yield under diverse environments.