Challenges in imaging and predictive modeling of rhizosphere process

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dc.contributor.authorRoose, T.
dc.contributor.authorKeyes, S. D.
dc.contributor.authorDaly, K. R.
dc.contributor.authorCarminati, A.
dc.contributor.authorOtten, Wilfred
dc.contributor.authorVetterlein, D.
dc.contributor.authorPeth, S.
dc.date.accessioned2018-04-24T15:43:01Z
dc.date.available2018-04-24T15:43:01Z
dc.date.issued2016-04-08
dc.description.abstractBackground Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management practices will affect these interactions. Scope In this paper we review the current developments in structural and chemical imaging of rhizosphere processes within the context of multiscale mathematical image based modeling. We outline areas that need more research and areas which would benefit from more detailed understanding. Conclusions We conclude that the combination of structural and chemical imaging with modeling is an incredibly powerful tool which is fundamental for understanding how plant roots interact with soil. We emphasize the need for more researchers to be attracted to this area that is so fertile for future discoveries. Finally, model building must go hand in hand with experiments. In particular, there is a real need to integrate rhizosphere structural and chemical imaging with modeling for better understanding of the rhizosphere processes leading to models which explicitly account for pore scale processes.en_UK
dc.identifier.citationRoose T, Keyes S, Daly K, Carminati A, Otten W, Vetterlein D, Peth S, Challenges in imaging and predictive modeling of rhizosphere processes, Plant and Soil, Vol. 407, Issue 1-2, October 2016, pp. 9-38en_UK
dc.identifier.issn0032-079X
dc.identifier.urihttp://dx.doi.org/10.1007/s11104-016-2872-7
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13165
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectRhizosphereen_UK
dc.subjectMathematical modelingen_UK
dc.subjectX-ray CTen_UK
dc.subjectChemical mappingen_UK
dc.subjectCorrelative imagingen_UK
dc.titleChallenges in imaging and predictive modeling of rhizosphere processen_UK
dc.typeArticleen_UK

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