CRootBox: A structural-functional modelling framework for root systems Article Swipe
YOU?
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· 2017
· Open Access
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· DOI: https://doi.org/10.1101/139980
Background and Aims Root architecture development determines the sites in soil where roots provide input of carbon and take up water and solutes. However, root architecture is difficult to determine experimentally when grown in opaque soil. Thus, root architectural models have been widely used and been further developed into functional-structural models that simulate the fate of water and solutes in the soil-root system. We present a root architectural model, CRootBox, as a flexible framework to model architecture and its interactions with static and dynamic soil environments. Methods CRootBox is a C++ -based root architecture model with Python binding, so that CRootBox can be included via a shared library into any Python code. Output formats include VTP, DGF, RSML and CSV. We further created a database of published root architectural parameters. The capabilities of CRootBox for the unconfined growth of single root systems, as well as the different parameter sets, are highlighted into a freely available web application. Key results We demonstrate the use of CRootBox for 5 different cases (1) free growth of individual root systems (2) growth of root systems in containers as a way to mimic experimental setups, (3), field scale simulation, (4) root growth as affected by heterogeneous, static soil conditions, and (5) coupling CRootBox with Soil Physics with Python code to dynamically compute water flow in soil, root water uptake, and water flow inside roots. Conclusions In conclusion, we present a fast and flexible functional-structural root model which is based on state-of-the-art computational science methods. Its aim is to facilitate modelling of root responses to environmental conditions as well as the impact of root on soil. In the future, we plan to extend this approach to the aboveground part of the plant.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/139980
- https://www.biorxiv.org/content/biorxiv/early/2017/05/19/139980.full.pdf
- OA Status
- green
- Cited By
- 34
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2615995873
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2615995873Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/139980Digital Object Identifier
- Title
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CRootBox: A structural-functional modelling framework for root systemsWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
-
2017-05-19Full publication date if available
- Authors
-
Andrea Schnepf, Daniel Leitner, Magdalena Landl, Guillaume Lobet, Trung Hieu, Shehan Morandage, Cheng Sheng, Mirjam Zörner, Jan Vanderborght, Harry VereeckenList of authors in order
- Landing page
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https://doi.org/10.1101/139980Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2017/05/19/139980.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2017/05/19/139980.full.pdfDirect OA link when available
- Concepts
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Python (programming language), Root (linguistics), Computer science, Root system, Architecture, Plant root, Water flow, Computational science, Soil science, Environmental science, Programming language, Biology, Botany, Philosophy, Art, Linguistics, Visual artsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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34Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 10, 2022: 11, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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