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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:建模随机植物生长模型中的功能和器官发生之间的相互作用:参数估计和说明的方法

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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:器官发生,同化物产生和分配之间复杂的相互作用循环是大多数功能结构植物生长模型的关键核心组成部分。但是这三个过程很少完全耦合,因此应该如何达成共识。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一种选择,近年来引起了越来越多的关注。但是,这种方法的普遍性受到以下事实的困扰:它是不可测量的数量,只能通过模型​​参数估计来评估,其方法论并不简单,尤其是在模型随机的情况下。在本文中,我们的目标是(i)提出一种具有植物功能的反馈效应的植物生长的随机GreenLab模型(称为“ GL4”),以生物量的供需比来表示对器官发生的影响,(ii)说明具有Roux体系结构模型的虚拟工厂的一些模型属性,以及(iii)提出其参数估计的方法,以及(iv)将其应用于两个虚拟测试用例。这种虚拟拟合练习可以使您更好地了解过程并进行全面评估:因此,这是将来将其应用于实际植物的前提。

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