2018
DOI: 10.1101/312918
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Connecting the dots between computational tools to analyse soil-root water relations

Abstract: In the recent years, many computational tools, such as image analysis, data management, processbased simulation and upscaling tools, were developed to help quantify and understand water flow in the soilroot system, at multiple scales (tissue, organ, plant and population). Several of these tools work together or, at least, are compatible. However, for the uninformed researcher, they might seem disconnected, forming a unclear and disorganised succession of tools.In this article, we present how different pieces o… Show more

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Cited by 7 publications
(9 citation statements)
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“…A knowledge gap in understanding the whole-root hydraulic resistance and its integration within the soil-root system is clearly recognized (Lobet et al, 2014;Poyatos et al, 2018;Passot et al, 2019), yet techniques for measuring the hydraulic resistance of the root-soil pathway are limited. Here we introduce a new method for measuring the components of root hydraulic resistance using rehydration kinetics to partition resistances in the shoot and root of olive plants subjected to water stress.…”
Section: Introductionmentioning
confidence: 99%
“…A knowledge gap in understanding the whole-root hydraulic resistance and its integration within the soil-root system is clearly recognized (Lobet et al, 2014;Poyatos et al, 2018;Passot et al, 2019), yet techniques for measuring the hydraulic resistance of the root-soil pathway are limited. Here we introduce a new method for measuring the components of root hydraulic resistance using rehydration kinetics to partition resistances in the shoot and root of olive plants subjected to water stress.…”
Section: Introductionmentioning
confidence: 99%
“…With time, the paradigm of simulation models has been extended to include interactions between plants and their environment, resulting in models that can be accepted as research tools in biology (Mech and Prusinkiewicz 1996;Passot et al 2018). Inclusion of these interactions implies that the environmental conditions can be spatially resolved so that the simulated conditions represent the real conditions that control or influence the processes in the soil-plant-atmosphere continuum.…”
Section: Introductionmentioning
confidence: 99%
“…In the past, growth and architectural have been typically obtained using literature data (Kutschera 2010) or experimental observations in rhizotrons (Claude Doussan et al 2006), minirhizotrons (Cai et al 2016), 3D tomography (Flavel et al 2017) or shovelomics (Trachsel et al 2010; Zhu et al 2011). Model required hydraulic properties can be either characterized by direct measurements (Bramley et al 2009; Knipfer and Fricke 2011) or by combining experiments and FSRSM in an inverse modeling scheme (Doussan 1998; Meunier et al 2017; Meunier et al 2018; Zarebanadkouki et al 2016; Passot et al 2019).…”
Section: Introductionmentioning
confidence: 99%