ProNet-CN model: A dynamic and multi-scale process network combining photosynthesis, primary carbon metabolism and effects of leaf nitrogen status

J. Muller, A. Eschenroder, O. Christen, B. Junker, F. Schreiber
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引用次数: 6

Abstract

Integrating the hierarchical organization of metabolic and physiological plant processes into crop models is a task that is not solved satisfactorily up to now. To this aim here we present a new multi-scale crop systems biology model. This integrative whole plant modeling framework is based on a complex, hierarchically structured modular process model network considering carbon metabolism and leaf nitrogen status: the ProNet-CN model. ProNet-CN combines the nitrogen sensitive photosynthesis and transpiration model LEAFC3-N with modules describing the dynamics of mass balances of main functional carbon compounds and its allocation between interacting source and sink organs. On this basis, biomass formation of the individual plant organs and of the whole plant is calculated. The Matlab® Simulink modeling environment was proved to provide an appropriate platform for the development of a system of hierarchically nested dynamic models covering processes at the cellular, organ-based and whole plant level. ProNet-CN was verified and parameterized based on comprehensive data from all process levels considered. Further extension of the nitrogen part of the model and detailed calibration and validation of the model against organ based data on the dynamics of main carbon and nitrogen compounds and on dry mass formation in barley is in progress.
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ProNet-CN模型:一个结合光合作用、初级碳代谢和叶片氮状态影响的动态多尺度过程网络
将植物代谢和生理过程的层次组织整合到作物模型中是一个目前尚未得到很好解决的问题。为此,我们提出了一个新的多尺度作物系统生物学模型。该综合植物建模框架基于一个复杂的、分层结构的模块化过程模型网络,考虑了碳代谢和叶片氮状态:ProNet-CN模型。ProNet-CN将氮敏感光合和蒸腾模型LEAFC3-N与描述主要功能碳化合物的质量平衡动态及其在相互作用的源汇器官之间分配的模块相结合。在此基础上,计算出植物各器官和整个植物的生物量形成。Matlab®Simulink建模环境被证明为开发覆盖细胞、器官和整个植物层面的分层嵌套动态模型系统提供了合适的平台。基于所考虑的所有工艺级别的综合数据,对ProNet-CN进行了验证和参数化。目前正在进一步扩展模型的氮部分,并根据大麦中主要碳和氮化合物的动态以及干物质形成的器官数据对模型进行详细的校准和验证。
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