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      OpenSimRoot: widening the scope and application of root architectural models

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Summary

          • O penS imR oot is an open‐source, functional–structural plant model and mathematical description of root growth and function. We describe O penS imR oot and its functionality to broaden the benefits of root modeling to the plant science community.

          • O penS imR oot is an extended version of simroot, established to simulate root system architecture, nutrient acquisition and plant growth. O penS imR oot has a plugin, modular infrastructure, coupling single plant and crop stands to soil nutrient and water transport models. It estimates the value of root traits for water and nutrient acquisition in environments and plant species.

          • The flexible O penS imR oot design allows upscaling from root anatomy to plant community to estimate the following: resource costs of developmental and anatomical traits; trait synergisms; and (interspecies) root competition. O penS imR oot can model three‐dimensional images from magnetic resonance imaging ( MRI) and X‐ray computed tomography ( CT) of roots in soil. New modules include: soil water‐dependent water uptake and xylem flow; tiller formation; evapotranspiration; simultaneous simulation of mobile solutes; mesh refinement; and root growth plasticity.

          • O penS imR oot integrates plant phenotypic data with environmental metadata to support experimental designs and to gain a mechanistic understanding at system scales.

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          Most cited references60

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          Natural Evaporation from Open Water, Bare Soil and Grass

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            Root Architecture and Plant Productivity.

            J. Lynch (1995)
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              Functional-structural plant modelling: a new versatile tool in crop science.

              Plants react to their environment and to management interventions by adjusting physiological functions and structure. Functional-structural plant models (FSPM), combine the representation of three-dimensional (3D) plant structure with selected physiological functions. An FSPM consists of an architectural part (plant structure) and a process part (plant functioning). The first deals with (i) the types of organs that are initiated and the way these are connected (topology), (ii) co-ordination in organ expansion dynamics, and (iii) geometrical variables (e.g. leaf angles, leaf curvature). The process part may include any physiological or physical process that affects plant growth and development (e.g. photosynthesis, carbon allocation). This paper addresses the following questions: (i) how are FSPM constructed, and (ii) for what purposes are they useful? Static, architectural models are distinguished from dynamic models. Static models are useful in order to study the significance of plant structure, such as light distribution in the canopy, gas exchange, remote sensing, pesticide spraying studies, and interactions between plants and biotic agents. Dynamic models serve quantitatively to integrate knowledge on plant functions and morphology as modulated by environment. Applications are in the domain of plant sciences, for example the study of plant plasticity as related to changes in the red:far red ratio of light in the canopy. With increasing availability of genetic information, FSPM will play a role in the assessment of the significance towards plant performance of variation in genetic traits across environments. In many crops, growers actively manipulate plant structure. FSPM is a promising tool to explore divergent management strategies.
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                Author and article information

                Contributors
                j.postma@fz-juelich.de
                Journal
                New Phytol
                New Phytol
                10.1111/(ISSN)1469-8137
                NPH
                The New Phytologist
                John Wiley and Sons Inc. (Hoboken )
                0028-646X
                1469-8137
                27 June 2017
                August 2017
                : 215
                : 3 ( doiID: 10.1111/nph.2017.215.issue-3 )
                : 1274-1286
                Affiliations
                [ 1 ] Plant Sciences Institute of Bio and Geosciences 2 Forschungszentrum Jülich Wilhelm‐Johnen Straße 52425 Jülich Germany
                [ 2 ] Centre for Mathematical Medicine and Biology School of Mathematical Sciences University of Nottingham Nottingham NG7 2RD UK
                [ 3 ] Centre for Plant Integrative Biology University of Nottingham Nottingham LE12 5RD UK
                [ 4 ] Plant & Crop Sciences Division School of Biosciences University of Nottingham Nottingham LE12 5RD UK
                [ 5 ] Department of Plant Science Pennsylvania State University 102 Tyson Building University Park PA 16802 USA
                Author notes
                [*] [* ] Author for correspondence:

                Johannes A. Postma

                Tel: +49 (0) 2461614333

                Email: j.postma@ 123456fz-juelich.de

                Author information
                http://orcid.org/0000-0002-5222-6648
                Article
                NPH14641 2017-24197
                10.1111/nph.14641
                5575537
                28653341
                29511fc5-49ca-4c6e-84a3-2f83ad67db14
                © 2017 The Authors. New Phytologist © 2017 New Phytologist Trust

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 April 2017
                : 26 April 2017
                Page count
                Figures: 6, Tables: 2, Pages: 13, Words: 10009
                Funding
                Funded by: Forschungszentrum Jülich in the Helmholtz Association
                Funded by: German‐Plant‐Phenotyping Network
                Funded by: German Federal Ministry of Education and Research
                Award ID: 031A053
                Funded by: European Research Council
                Award ID: FUTUREROOTS 294729
                Categories
                Methods
                Research
                Methods
                Custom metadata
                2.0
                nph14641
                August 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.8 mode:remove_FC converted:30.08.2017

                Plant science & Botany
                functional–structural plant model,model‐driven phenotyping,opensimroot,plant nutrition,root architectural traits,root system architecture,simulation

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