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首页> 外文期刊>Journal of Mathematical Biology >Towards quantitative root hydraulic phenotyping: novel mathematical functions to calculate plant-scale hydraulic parameters from root system functional and structural traits
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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:朝向定量根液压表型:从根系功能和结构性状计算植物级液压参数的新数学函数

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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:预测根水吸收和植物蒸腾对于管理植物灌溉和开发耐旱根系IET型分析(即理想根系)至关重要。如今,存在三维结构功能模型,允许在瞬态条件和异质土壤中求解土壤中的水流方程和根系系统。然而,这些模型依赖于根液压特性的三维分布的全面表示,这并不总是容易进入。最近,新型模型能够表示该复杂系统的情况而无需全面了解植物3D液压架构和有限数量的参数。然而,宏观参数估计先验仍然需要数值模型和全三维液压架构的知识。本研究的目的是提供分析数学模型,以估计这些参数的值作为本地工厂一般特征的函数,如横向之间的距离,原初级的距离或径向与轴向根部电导的比率。这些功能将允许一个人直接从平均植物根部特征直接表征根系的行为(如其宏观参数的特征),从而通过将植物比例的参数连接到平均功能或结构性能,打开用于开发定量表型的新可能性。凭借其简单的形式,该拟议的模型提供了在本研究中提供的敏感性和优化分析的机会。

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