% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Landl:845904,
      author       = {Landl, Magdalena and Schnepf, Andrea and Vanderborght, Jan
                      and Bengough, A. Glyn and Bauke, Sara L. and Lobet,
                      Guillaume and Bol, Roland and Vereecken, Harry},
      title        = {{M}easuring root system traits of wheat in 2{D} images to
                      parameterize 3{D} root architecture models},
      journal      = {Plant and soil},
      volume       = {425},
      number       = {1-2},
      issn         = {1573-5036},
      address      = {Dordrecht [u.a.]},
      publisher    = {Springer Science + Business Media B.V},
      reportid     = {FZJ-2018-03102},
      pages        = {457 - 477},
      year         = {2018},
      abstract     = {Background and aimsThe main difficulty in the use of 3D
                      root architecture models is correct parameterization. We
                      evaluated distributions of the root traits inter-branch
                      distance, branching angle and axial root trajectories from
                      contrasting experimental systems to improve model
                      parameterization.MethodsWe analyzed 2D root images of
                      different wheat varieties (Triticum aestivum) from three
                      different sources using automatic root tracking. Model input
                      parameters and common parameter patterns were identified
                      from extracted root system coordinates. Simulation studies
                      were used to (1) link observed axial root trajectories with
                      model input parameters (2) evaluate errors due to the 2D
                      (versus 3D) nature of image sources and (3) investigate the
                      effect of model parameter distributions on root foraging
                      performance.ResultsDistributions of inter-branch distances
                      were approximated with lognormal functions. Branching angles
                      showed mean values <90°. Gravitropism and tortuosity
                      parameters were quantified in relation to downwards
                      reorientation and segment angles of root axes. Root system
                      projection in 2D increased the variance of branching angles.
                      Root foraging performance was very sensitive to parameter
                      distribution and variance.Conclusions2D image analysis can
                      systematically and efficiently analyze root system
                      architectures and parameterize 3D root architecture models.
                      Effects of root system projection (2D from 3D) and
                      deflection (at rhizotron face) on size and distribution of
                      particular parameters are potentially significant.},
      cin          = {IBG-3},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000430992300033},
      doi          = {10.1007/s11104-018-3595-8},
      url          = {https://juser.fz-juelich.de/record/845904},
}