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@ARTICLE{Leitner:140046,
      author       = {Leitner, D. and Felderer, B. and Vontobel, P. and Schnepf,
                      A.},
      title        = {{R}ecovering root system traits using image analysis -
                      {E}xemplified by 2-dimensional neutron radiography images of
                      lupine},
      journal      = {Plant physiology},
      volume       = {0},
      issn         = {1532-2548},
      reportid     = {FZJ-2013-06009},
      pages        = {1-49},
      year         = {2013},
      note         = {Online first, OpenAccess},
      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},
      cin          = {IBG-3},
      ddc          = {580},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {246 - Modelling and Monitoring Terrestrial Systems: Methods
                      and Technologies (POF2-246)},
      pid          = {G:(DE-HGF)POF2-246},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000329447400003},
      pubmed       = {pmid:24218493},
      doi          = {10.1104/pp.113.227892},
      url          = {https://juser.fz-juelich.de/record/140046},
}