苹果枝木质部和韧皮部通量的动态模型

J. Merklein, Magalie Poirier-Pocovi, G. Buck-Sorlin, W. Kurth, Qinqin Long
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引用次数: 6

摘要

本文提出了苹果(Malus domestica, L.)水分和糖转运的功能-结构植物模型(FSPM)框架。Bartsch)分支。该模型在器官(叶片、叶柄;节间;水果(和果柄),明确地描述了水和糖在所有可能的器官组合之间流动。为了做到这一点,使用专用的建模平台GroIMP,引入了每个器官的面向对象表示,包含各自器官内和每个器官对之间的木质部和韧皮部元素的功能描述。分支的几何形状和拓扑结构及其元素是基于“富士”cv的测量。在法国昂热的一个实验果园中,苹果树,而运输模型系统的系数是从文献中得出的。分支架构是模型的输入,因此在模拟期间(6月至9月)不应该更改。第一个结果是有希望的:1)基于生物物理原理(叶片蒸腾与光合速率和气孔导度耦合)的全功能、定量的水通量模拟,根据达西流原理驱动水分从树枝基部向周围器官(叶片)的运输。与此同时,糖通过韧皮部的 nch流从来源(叶子)转运到汇(水果)。这样的模拟可以实时实现(时间分辨率为1秒);2)即使在极端情况下,木质部和韧皮部的网络也表现出合理和稳定的行为。
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A dynamic model of xylem and phloem flux in an apple branch
We present here the framework for a Functional-structural plant model (FSPM) of the water and sugar transport in an apple (Malus domestica (L.) Bartsch.) branch. The model is parameterized at the spatial level of the organ (leaf blade, leaf petiole; internode; fruit, and fruit peduncle), explicitly describing water and sugar flows between all possible organ combinations. In order to do so, an object-oriented representation of each organ was introduced, containing the functional description of xylem and phloem elements within the respective organs, and between each organ pair, using the dedicated modelling platform GroIMP. The geometry and topology of the branch and its elements were based on measurements of ‘Fuji’ cv. apple trees, located in an experimental orchard in Angers, France, whereas the coefficients of the transport model system were derived from the literature. Branch architecture is an input to the model therefore not supposed to change during the simulated period (June to September). First results are promising: 1) a fully functional, quantitative simulation of water flux based on biophysical principles (leaf transpiration coupled to photosynthesis rate and stomatal conductance) is driving the water transport from the base of the branch to the peripheral organs (leaves) according to the Darcy flow principle. At the same time sugars are transported from sources (leaves) to sinks (fruits) based on Münch flow in the phloem. Such a simulation is possible in real time (temporal resolution one second); 2) even for extreme situations the network of xylem and phloem with its numerous interconnections shows reasonable and stable behaviour.
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