Journal Article

FZJ-2013-06009

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Recovering root system traits using image analysis - Exemplified by 2-dimensional neutron radiography images of lupine

Leitner, D. (Corresponding author) ; Felderer, B. ; Vontobel, P. ; Schnepf, A.FZJ*

2013

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Please use a persistent id in citations: doi:10.1104/pp.113.227892

Abstract: Root system traits are important in view of current challenges such as sustainable crop production with reduced fertilizer input or in resource limited environments. We present a novel approach for recovering root architectural parameters based on image analysis techniques. It is based on a graph representation of the segmented and skeletonised image of the root system, where individual roots are tracked in a fully-automated way. Using a dynamic root architecture model for deciding whether a specific path in the graph is likely to represent a root helps to distinguish root overlaps from branches and favours the analysis of root development over a sequence of images. After the root tracking step, global traits such as topological characteristics as well as root architectural parameters are computed. Analysis of neutron radiographic root system images of Lupinus albus grown in mesocosms filled with sandy soil results in a set of root architectural parameters. They are used to simulate the dynamic development of the root system and to compute the corresponding root length densities in the mesocosm. The graph representation of the root system provides global information about connectivity inside the graph. The underlying root growth model helps to decide which path inside the graph is most likely for a given root. This facilitates the systematic investigation of root architectural traits in particular with respect to parametrisation of dynamic root architecture models

Note: Online first, OpenAccess

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246) (POF2-246)

Appears in the scientific report 2013

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Database coverage:
; BIOSIS Previews ; Current Contents - Agriculture, Biology and Environmental Sciences ; Current Contents - Life Sciences ; JCR ; NCBI Molecular Biology Database ; National-Konsortium ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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