Challenges in imaging and predictive modeling of rhizosphere processes
This paper reviews developments in structural and chemical imaging within the context of multiscale mathematical image based modeling
Abstract
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.
This paper reviews the current developments in structural and chemical imaging of rhizosphere processes within the context of multiscale mathematical image based modeling. It outline areas that need more research and areas which would benefit from more detailed understanding.
This is a publication arising from the Sustainable Crop production for International Development (SCPRID) programme.
Citation
Roose T, Keyes S, Daly K, Carminati A, Otten W, Vetterlein D, Peth S (2016). Challenges in imaging and predictive modeling of rhizosphere processes. Plant Soil 407:9–38.
Link
Challenges in imaging and predictive modeling of rhizosphere processes