4.6 Article

OPENSIMROOT: widening the scope and application of root architectural models

Journal

NEW PHYTOLOGIST
Volume 215, Issue 3, Pages 1274-1286

Publisher

WILEY
DOI: 10.1111/nph.14641

Keywords

functional-structural plant model; model-driven phenotyping; OPENSIMROOT; plant nutrition; root architectural traits; root system architecture; simulation

Categories

Funding

  1. Forschungszentrum Julich in the Helmholtz Association
  2. German-Plant-Phenotyping Network - German Federal Ministry of Education and Research [031A053]
  3. European Research Council [FUTUREROOTS 294729]
  4. Biotechnology and Biological Sciences Research Council [BB/G023972/1, BB/L026848/1] Funding Source: researchfish
  5. BBSRC [BB/L026848/1, BB/G023972/1] Funding Source: UKRI

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OPENSIMROOT is an open-source, functional-structural plant model and mathematical description of root growth and function. We describe OPENSIMROOT and its functionality to broaden the benefits of root modeling to the plant science community. OPENSIMROOT is an extended version of SIMROOT, established to simulate root system architecture, nutrient acquisition and plant growth. OPENSIMROOT 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 OPENSIMROOT 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. OPENSIMROOT 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. OPENSIMROOT integrates plant phenotypic data with environmental metadata to support experimental designs and to gain a mechanistic understanding at system scales.

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