[1882] - Parameter sensitivity analysis of a root system architecture model based on virtual field sampling

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Citation
Morandage, S., Schnepf, A., Vanderborght, J., Vereecken, H., Javaux, M., 2019. Parameter sensitivity analysis of a root system architecture model based on virtual field sampling. Plant and Soil, 438 (1-2), 101 - 126.
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Identification
Title(s):Main Title: Parameter sensitivity analysis of a root system architecture model based on virtual field sampling
Description(s):Abstract: Aims: Traits of the plant root system architecture (RSA) play a key role in crop performance. Therefore, architectural root traits are becoming increasingly important in plant phenotyping. In this study, we use a mathematical model to investigate the sensitivity of characteristic root system measures, obtained from different classical field root sampling schemes, to RSA parameters. Methods: Root systems of wheat and maize were simulated and sampled virtually to mimic real field experiments using the root system architecture (RSA) model CRootBox. By means of a sensitivity analysis, we found RSA parameters that significantly influenced the virtual field sampling results. To identify correlations between sensitivities, we carried out a principal component analysis. Results: We found that the parameters of zero order roots are the most sensitive, and parameters of higher order roots are less sensitive. Moreover, different characteristic root system measures showed different sensitivity to RSA parameters. RSA parameters that could be derived independently from different types of field observations were identified. Conclusions: Selection of characteristic root system measures and parameters is essential to reduce the problem of parameter equifinality in inverse modeling with multi-parameter models and is an important step in the characterization of root traits from field observations.
Citation Advice:Morandage S, Schnepf A, Leitner D, Javaux M, Vereecken H, Vanderborght J (2019) Parameter sensitivity analysis of a root system architecture model based on virtual field sampling. Plant and Soil 438: 101-126. doi: 10.1007/s11104-019-03993-3.
Responsible Party
Creator(s):Author: Shehan Morandage
Principal Investigator: Andrea Schnepf
Principal Investigator: Jan Vanderborght
Author: Harry Vereecken
Author: Mathieu Javaux
Publisher:SpringerLink
Topic
TR32 Topic:Vegetation
Related Sub-project(s):B4
Subject(s):CRC/TR32 Keywords: Root System, Root Length Density
Topic Category:Farming
File Details
File Name:Morandage2019_Article_ParameterSensitivityAnalysisOf.pdf
Data Type:Text
File Size:4857 kB (4.743 MB)
Date(s):Available: 2019-06-12
Mime Type:application/pdf
Language:English
Status:Completed
Constraints
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Geographic
North:-no map data
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Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2019
Type:Article
Article Type:Journal
Source:Plant and Soil
Issue:1-2
Volume:438
Number Of Pages:25
Page Range:101 - 126
Metadata Details
Metadata Creator:Shehan Morandage
Metadata Created:2019-06-12
Metadata Last Updated:2019-06-12
Subproject:B4
Funding Phase:3
Metadata Language:English
Metadata Version:V43
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