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Parameter sensitivity analysis of a root system architecture model based on virtual field sampling

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Morandage, Shehan [Forschungszentrum of Juelich, Germany] Schnepf, Andrea [Forschungszentrum of Juelich, Germany] Leitner, Daniel [University of Natural Resources and Applied Life Sciences, Vienna, Austria] Javaux, Mathieu [UCL] Vereecken, Harry [Forschungszentrum of Juelich, Germany] Vanderborght, Jan [Forschungszentrum of Juelich, Germany]

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.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès libre
Publication date 2019
Language Anglais
Journal information "Plant and Soil" - Vol. 438, p. 101-126 (2019)
Peer reviewed yes
Publisher Springer Nature
issn 0032-079X
e-issn 1573-5036
Publication status Publié
Affiliation UCL - SST/ELI/ELIE - Environmental Sciences
Keywords Plant Science ; Soil Science
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Bibliographic reference Morandage, Shehan ; Schnepf, Andrea ; Leitner, Daniel ; Javaux, Mathieu ; Vereecken, Harry ; et. al. Parameter sensitivity analysis of a root system architecture model based on virtual field sampling. In: Plant and Soil, Vol. 438, p. 101-126 (2019)
Permanent URL http://hdl.handle.net/2078.1/214590