Call for Participation: Collaborative Benchmarking of Functional-Structural Root Architecture Models. The Case of Root Water Uptake.
benchmark
call for participation
functional-structural root architecture models
model comparison
root water uptake
Journal
Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200
Informations de publication
Date de publication:
2020
2020
Historique:
received:
23
10
2019
accepted:
03
03
2020
entrez:
17
4
2020
pubmed:
17
4
2020
medline:
17
4
2020
Statut:
epublish
Résumé
Three-dimensional models of root growth, architecture and function are becoming important tools that aid the design of agricultural management schemes and the selection of beneficial root traits. However, while benchmarking is common in many disciplines that use numerical models, such as natural and engineering sciences, functional-structural root architecture models have never been systematically compared. The following reasons might induce disagreement between the simulation results of different models: different representation of root growth, sink term of root water and solute uptake and representation of the rhizosphere. Presently, the extent of discrepancies is unknown, and a framework for quantitatively comparing functional-structural root architecture models is required. We propose, in a first step, to define benchmarking scenarios that test individual components of complex models: root architecture, water flow in soil and water flow in roots. While the latter two will focus mainly on comparing numerical aspects, the root architectural models have to be compared at a conceptual level as they generally differ in process representation. Therefore, defining common inputs that allow recreating reference root systems in all models will be a key challenge. In a second step, benchmarking scenarios for the coupled problems are defined. We expect that the results of step 1 will enable us to better interpret differences found in step 2. This benchmarking will result in a better understanding of the different models and contribute toward improving them. Improved models will allow us to simulate various scenarios with greater confidence and avoid bugs, numerical errors or conceptual misunderstandings. This work will set a standard for future model development.
Identifiants
pubmed: 32296451
doi: 10.3389/fpls.2020.00316
pmc: PMC7136536
doi:
Types de publication
Journal Article
Langues
eng
Pagination
316Informations de copyright
Copyright © 2020 Schnepf, Black, Couvreur, Delory, Doussan, Koch, Koch, Javaux, Landl, Leitner, Lobet, Mai, Meunier, Petrich, Postma, Priesack, Schmidt, Vanderborght, Vereecken and Weber.
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