功能-结构-根系结构模型的协作基准:模拟根系吸水的定量比较

IF 2.6 Q1 AGRONOMY in silico Plants Pub Date : 2023-06-03 DOI:10.1093/insilicoplants/diad005
A. Schnepf, C. Black, V. Couvreur, B. Delory, C. Doussan, Adrien Heymans, M. Javaux, Deepanshu Khare, Axelle Koch, T. Koch, Christian W. Kuppe, M. Landl, D. Leitner, G. Lobet, F. Meunier, J. Postma, Ernst D Schäfer, Tobias Selzner, J. Vanderborght, H. Vereecken
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引用次数: 1

摘要

功能结构根系结构模型已经发展成为设计改进农业管理实践和选择最佳根系性状的工具。为了测试它们的准确性和可靠性,我们使用五种完善的功能结构根结构模型(DuMux、CPlantBox、R-SWMS、OpenSimRoot和SRI)首次对土壤中根系水分吸收进行基准测试。基准情景包括土壤和根系中水流的基本测试以及土壤-根系耦合系统的高级测试。参考解决方案和不同模拟器的解决方案可以通过GitHub存储库上的Jupyter notebook获得。所有模拟器都能够通过基本测试,并在土壤-植物耦合系统的基准测试中继续表现良好。在高级测试中,我们概述了土壤和根域耦合的不同方式,以及用于解释根际对水流阻力的不同方法。虽然用于耦合和模拟根际阻力的方法有很大的不同,但所有的模拟器都与参考溶液相当一致。在这个基准测试过程中,单个模拟器能够了解他们的优势和挑战,而有些模拟器甚至能够改进他们的代码。有些公司现在将基准测试作为其代码中的标准测试。其他模型结果可能会在将来的任何时候添加到GitHub存储库中,并将自动包含在比较中。
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Collaborative benchmarking of functional-structural root architecture models: Quantitative comparison of simulated root water uptake
Functional-structural root architecture models have evolved as tools for the design of improved agricultural management practices and for the selection of optimal root traits. In order to test their accuracy and reliability, we present the first benchmarking of root water uptake from soil using five well-established functional-structural root architecture models: DuMux, CPlantBox, R-SWMS, OpenSimRoot and SRI. The benchmark scenarios include basic tests for water flow in soil and roots as well as advanced tests for the coupled soil-root system. The reference solutions and the solutions of the different simulators are available through Jupyter Notebooks on a GitHub repository. All of the simulators were able to pass the basic tests and continued to perform well in the benchmarks for the coupled soil-plant system. For the advanced tests, we created an overview of the different ways of coupling the soil and the root domains as well as the different methods used to account for rhizosphere resistance to water flow. Although the methods used for coupling and modelling rhizosphere resistance were quite different, all simulators were in reasonably good agreement with the reference solution. During this benchmarking effort, individual simulators were able to learn about their strengths and challenges, while some were even able to improve their code. Some now include the benchmarks as standard tests within their codes. Additional model results may be added to the GitHub repository at any point in the future and will be automatically included in the comparison.
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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
期刊最新文献
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