MARSHAL, a novel tool for virtual phenotyping of maize root system hydraulic architectures. Issue 1 (20th November 2019)

• Record Type: Journal Article
• Authors: Meunier, Félicien; Heymans, Adrien; Draye, Xavier; Couvreur, Valentin; Javaux, Mathieu; Lobet, Guillaume
• Is Part Of: In silico plants. Volume 2:Issue 1(2020)
• Publication Date: 2019-11-20
• Subjects: Dynamic root system hydraulic architecture -- maize root system -- root hydraulic conductivities -- root system macroscopic properties -- water flow in the soil-plant continuum; Plant physiology -- Periodicals; Botany -- Periodicals; Botany -- Mathematical models -- Periodicals; Crop science -- Periodicals; 580
• DOI: 10.1093/insilicoplants/diz012
• Languages: English
• ISSNs: 2517-5025

Abstract

Abstract: Functional-structural root system models combine functional and structural root traits to represent the growth and development of root systems. In general, they are characterized by a large number of growth, architectural and functional root parameters, generating contrasted root systems evolving in a highly non-linear environment (soil, atmosphere), which makes the link between local traits and functioning unclear. On the other end of the root system modelling continuum, macroscopic root system models associate to each root system a set of plant-scale, easily interpretable parameters. However, as of today, it is unclear how these macroscopic parameters relate to root-scale traits and whether the upscaling of local root traits is compatible with macroscopic parameter measurements. The aim of this study was to bridge the gap between these two modelling approaches. We describe here the MAize Root System Hydraulic Architecture soLver (MARSHAL), a new efficient and user-friendly computational tool that couples a root architecture model (CRootBox) with fast and accurate algorithms of water flow through hydraulic architectures and plant-scale parameter calculations. To illustrate the tool's potential, we generated contrasted maize hydraulic architectures that we compared with root system architectural and hydraulic observations. Observed variability of these traits was well captured by model ensemble runs. We also analysed the multivariate sensitivity of mature root system conductance, mean depth of uptake, root system volume and convex hull to the input parameters to highlight the key model parameters to vary for virtual breeding. It is available as an R package, an RMarkdown pipeline and a web application. Abstract : We developed a dynamic hydraulic-architectural model of the root system, parameterized for maize, to generate contrasted hydraulic architectures, compatible with field and lab observations and that can be further analysed in soil-root system models for virtual breeding.