001     873312
005     20220930130229.0
024 7 _ |a 10.1093/insilicoplants/diaa001
|2 doi
024 7 _ |a 2128/24847
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024 7 _ |a WOS:000713308400001
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037 _ _ |a FZJ-2020-00630
041 _ _ |a English
082 _ _ |a 004
100 1 _ |a Zhou, Xiao-Ran
|0 P:(DE-Juel1)173813
|b 0
245 _ _ |a CPlantBox, a whole plant modelling framework for the simulation of water and carbon related processes
260 _ _ |a [Oxford]
|c 2020
|b Oxford University Press
336 7 _ |a article
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336 7 _ |a Output Types/Journal article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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336 7 _ |a JOURNAL_ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a The interaction between carbon and flows within the vasculature is at the center of most growth and developmental processes. Understanding how these fluxes influence each other, and how they respond to heterogeneous environmental conditions, is important to answer diverse questions in agricultural and natural ecosystem sciences. However, due to the high complexity of the plant-environment system, specific tools are needed to perform such quantitative analyses.Here we present CPlantBox, a whole plant modelling framework based on the root system model CRootBox. CPlantbox is capable of simulating the growth and development of a variety of plant architectures (root and shoot). In addition, the flexibility of CPlantBox enables its coupling with external modeling tools. Here, we connected the model to an existing mechanistic model of water and carbon flows in the plant, PiafMunch.The usefulness of the CPlantBox modelling framework is exemplified in five case studies. Firstly, we illustrate the range of plant structures that can be simulated using CPlantBox. In the second example, we simulated diurnal carbon and water flows, which corroborates published experimental data. In the third case study, we simulated impacts of heterogeneous environment on carbon and water flows. Finally, we showed that our modelling framework can be used to fit phloem pressure and flow speed to (published) experimental data.The CPlantBox modelling framework is open-source, highly accessible and flexible. Its aim is to provide a quantitative framework for the understanding of plant-environment interaction.
536 _ _ |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255)
|0 G:(DE-HGF)POF3-255
|c POF3-255
|f POF III
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588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Schnepf, Andrea
|0 P:(DE-Juel1)157922
|b 1
|u fzj
700 1 _ |a Vanderborght, Jan
|0 P:(DE-Juel1)129548
|b 2
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700 1 _ |a Leitner, Daniel
|0 P:(DE-HGF)0
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700 1 _ |a Lacointe, André
|0 P:(DE-HGF)0
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700 1 _ |a Vereecken, Harry
|0 P:(DE-Juel1)129549
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700 1 _ |a Lobet, Guillaume
|0 P:(DE-Juel1)171180
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|e Corresponding author
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773 _ _ |a 10.1093/insilicoplants/diaa001
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|0 PERI:(DE-600)3019806-9
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|p diaa001
|t In silico plants
|v 2
|y 2020
|x 2517-5025
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/873312/files/diaa001-1.pdf
856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
|x pdfa
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909 C O |o oai:juser.fz-juelich.de:873312
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
|l Terrestrische Umwelt
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|v Terrestrial Systems: From Observation to Prediction
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914 1 _ |y 2020
915 _ _ |a OpenAccess
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915 _ _ |a Creative Commons Attribution CC BY 4.0
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920 _ _ |l yes
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980 _ _ |a APC
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980 1 _ |a FullTexts


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