%0 Journal Article
%A Leitner, D.
%A Felderer, B.
%A Vontobel, P.
%A Schnepf, A.
%T Recovering root system traits using image analysis - Exemplified by 2-dimensional neutron radiography images of lupine
%J Plant physiology
%V 0
%@ 1532-2548
%M FZJ-2013-06009
%P 1-49
%D 2013
%Z Online first, OpenAccess
%X Root system traits are important in view of current challenges such as
%X sustainable crop production with reduced fertilizer input or in resource
%X limited environments. We present a novel approach for recovering root
%X architectural parameters based on image analysis techniques.
%X It is based on a graph representation of the segmented and
%X skeletonised image of the root system, where individual roots are
%X tracked in a fully-automated way. Using a dynamic root architecture
%X model for deciding whether a specific path in the graph is likely to
%X represent a root helps to distinguish root overlaps from branches and
%X favours the analysis of root development over a sequence of images.
%X After the root tracking step, global traits such as topological
%X characteristics as well as root architectural parameters are computed.
%X Analysis of neutron radiographic root system images of Lupinus
%X albus grown in mesocosms filled with sandy soil results in a set of root
%X architectural parameters. They are used to simulate the dynamic
%X development of the root system and to compute the corresponding root
%X length densities in the mesocosm.
%X The graph representation of the root system provides global
%X information about connectivity inside the graph. The underlying root
%X growth model helps to decide which path inside the graph is most
%X likely for a given root. This facilitates the systematic investigation of
%X root architectural traits in particular with respect to parametrisation of
%X dynamic root architecture models
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000329447400003
%$ pmid:24218493
%R 10.1104/pp.113.227892
%U https://juser.fz-juelich.de/record/140046