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Towards quantitative root hydraulic phenotyping: novel mathematical functions to calculate plant-scale hydraulic parameters from root system functional and structural traits

机译:走向定量根系水力表型:新颖的数学功能可根据根系功能和结构性状计算植物规模的水力参数

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摘要

Predicting root water uptake and plant transpiration is crucial for managing plant irrigation and developing drought-tolerant root system ideotypes (i.e. ideal root systems). Today, three-dimensional structural functional models exist, which allows solving the water flow equation in the soil and in the root systems under transient conditions and in heterogeneous soils. Yet, these models rely on the full representation of the three-dimensional distribution of the root hydraulic properties, which is not always easy to access. Recently, new models able to represent this complex system without the full knowledge of the plant 3D hydraulic architecture and with a limited number of parameters have been developed. However, the estimation of the macroscopic parameters a priori still requires a numerical model and the knowledge of the full three-dimensional hydraulic architecture. The objective of this study is to provide analytical mathematical models to estimate the values of these parameters as a function of local plant general features, like the distance between laterals, the number of primaries or the ratio of radial to axial root conductances. Such functions would allow one to characterize the behaviour of a root system (as characterized by its macroscopic parameters) directly from averaged plant root traits, thereby opening new possibilities for developing quantitative ideotypes, by linking plant scale parameters to mean functional or structural properties. With its simple form, the proposed model offers the chance to perform sensitivity and optimization analyses as presented in this study.
机译:预测根系吸水和植物蒸腾对于管理植物灌溉和发展耐旱根系表型(即理想的根系)至关重要。如今,存在三维结构功能模型,该模型可以求解瞬态条件和非均质土壤中土壤和根系中的水流方程。但是,这些模型依赖于根部水力特性的三维分布的完整表示,这并不总是易于访问的。最近,已经开发出了能够在不完全了解工厂3D液压体系结构且参数数量有限的情况下表示这种复杂系统的新模型。然而,先验的宏观参数的估计仍然需要数值模型和完整的三维水力体系结构的知识。这项研究的目的是提供分析数学模型,以根据当地植物的一般特征估算这些参数的值,例如侧枝之间的距离,基生数或根与轴根电导之比。这样的功能将允许人们直接从平均植物根性状来表征根系的行为(以其宏观参数为特征),从而通过将植物规模参数与平均功能或结构特性联系起来,为开发定量表型开辟了新的可能性。凭借其简单的形式,所提出的模型为执行本研究中介绍的敏感性和优化分析提供了机会。

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