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An Explicit Structural Model of Root Hair and Soil Interactions Parameterised by Synchrotron X-ray Computed Tomography

机译:同步X射线计算机断层扫描技术设定的根与土壤相互作用的显式结构模型

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摘要

The rhizosphere is a zone of fundamental importance for understanding the dynamics of nutrient acquisition by plant roots. The canonical difficulty of experimentally investigating the rhizosphere led long ago to the adoption of mathematical models, the most sophisticated of which now incorporate explicit representations of root hairs and rhizosphere soil. Mathematical upscaling regimes, such as homogenisation, offer the possibility of incorporating into larger-scale models the important mechanistic processes occurring at the rhizosphere scale. However, we lack concrete descriptions of all the features required to fully parameterise models at the rhizosphere scale. By combining synchrotron X-ray computed tomography (SRXCT) and a novel root growth assay, we derive a three-dimensional description of rhizosphere soil structure suitable for use in multi-scale modelling frameworks. We describe an approach to mitigate sub-optimal root hair detection via structural root hair growth modelling. The growth model is explicitly parameterised with SRXCT data and simulates three-dimensional root hair ideotypes in silico, which are suitable for both ideotypic analysis and parameterisation of 3D geometry in mathematical models. The study considers different hypothetical conditions governing root hair interactions with soil matrices, with their respective effects on hair morphology being compared between idealised and image-derived soil/root geometries. The studies in idealised geometries suggest that packing arrangement of soil affects hair tortuosity more than the particle diameter. Results in field-derived soil suggest that hair access to poorly mobile nutrients is particularly sensitive to the physical interaction between the growing hairs and the phase of the soil in which soil water is present (i.e. the hydrated textural phase). The general trends in fluid-coincident hair length with distance from the root, and their dependence on hair/soil interaction mechanisms, are conserved across Cartesian and cylindrical geometries.Electronic supplementary materialThe online version of this article (doi:10.1007/s11538-017-0350-x) contains supplementary material, which is available to authorized users.
机译:根际是了解植物根系养分吸收动态的最重要区域。在很久以前,对根际进行实验研究的典型困难是采用数学模型,其中最复杂的数学模型现在包含了根毛和根际土壤的显式表示。数学上的扩展机制(例如均质化)提供了将更大的模型纳入根际范围内发生的重要机械过程的可能性。但是,我们缺乏在根际尺度上完全参数化模型所需的所有功能的具体描述。通过结合同步加速器X射线计算机断层扫描(SRXCT)和新颖的根系生长测定,我们得出了适用于多尺度建模框架的根际土壤结构的三维描述。我们描述了一种通过结构性根毛生长模型减轻次优根毛检测的方法。使用SRXCT数据对生长模型进行显式参数化,并模拟计算机中的三维根毛表型,这既适用于表型分析又适用于数学模型中3D几何的参数化。这项研究考虑了控制根毛与土壤基质相互作用的不同假设条件,并比较了理想化和图像衍生的土壤/根系几何形状对头发形态的影响。关于理想几何形状的研究表明,土壤的堆积排列对头发的曲折性的影响比对粒径的影响更大。田间土壤的结果表明,获取流动性差的养分的头发对生长的头发与存在土壤水的土壤相(即水合质地相)之间的物理相互作用特别敏感。在笛卡尔和圆柱几何中,流体重合的头发长度与根部距离的一般趋势及其对头发/土壤相互作用机制的依赖性得以保留。电子补充材料本文的在线版本(doi:10.1007 / s11538-017- 0350-x)包含补充材料,授权用户可以使用。

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