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Modelling the interaction between functioning and organogenesis in a stochastic plant growth model : Methodology for parameter estimation and illustration

机译:在随机植物生长模型中建模功能与器菌之间的相互作用:参数估计方法论

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The complex interaction loops between organogenesis, assimilate production and partitioning are a crucial core component of most functional-structural plant growth model; yet these three processes are seldom fully coupled and there is no consensus on how it should be done. In this context, the use of the internal trophic pressure as a regulating variable of the development processes is an option that has attracted increasing interest in recent years. Generalizing this approach is however hampered by the fact that it is a non-measurable quantity that can be only assessed through model parametric estimation, for which the methodology is not straightforward, especially when the model is stochastic. In this paper, our objectives are (i) to present a stochastic GreenLab model of plant growth (named `GL4') with feedback effect of plant functioning, represented by the ratio of biomass supply to demand, on organogenesis, (ii) to illustrate some of the model properties on a virtual plant featuring the Roux architectural model, and (iii) to present the methodology for its parameter estimation and (iv) its application to two virtual test-cases. Such virtual fitting exercise allows a better understanding of the procedure as well as it thorough evaluation: it is therefore a prerequisite to any future application to real plants.
机译:有机组织,同化生产和分配之间的复杂相互作用环是大多数功能性结构植物生长模型的关键核心组分;然而,这三个过程很少耦合,并且没有达成达成的共识。在这种情况下,使用内部营养压力作为开发过程的调节变量是近年来引起了越来越兴趣的选择。然而,这种方法是阻碍了这一事实,即它是一种可以仅通过模型参数估计评估的不可测量量,方法中的方法不直接,特别是当模型是随机的。在本文中,我们的目标是(i)呈现出一种随机Greenlab模型的植物生长(命名为GL4'),其具有植物功能的反馈效果,由生物质供应的比率,有机组织,(ii)说明虚拟工厂的一些模型属性,具有Roux架构模型,(iii)以提供其参数估计的方法和(iv)其应用于两个虚拟测试情况。这种虚拟拟合练习可以更好地了解该过程以及彻底的评估:因此,对现实植物的任何未来应用是一个先决条件。

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