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@PHDTHESIS{Morandage:887974,
      author       = {Morandage, Shehan},
      title        = {{C}haracterization of {R}oot {S}ystem {A}rchitectures from
                      {F}ield {R}oot {S}ampling {M}ethods},
      volume       = {520},
      school       = {Universität Bonn},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2020-04560},
      isbn         = {978-3-95806-511-6},
      series       = {Schriften des Forschungszentrums Jülich. Reihe Energie
                      $\&$ Umwelt / Energy $\&$ Environment},
      pages        = {xxii, 157 S.},
      year         = {2020},
      note         = {Universität Bonn, Diss., 2020},
      abstract     = {$\textbf{Background and objectives:}$ The root system
                      architecture (RSA) of a plant determines the plant’s
                      ability to capture resources efficiently from the soil and
                      directly linked to plant performance. The development and
                      distribution of plant’s root systems are determined by the
                      soil and surrounding environmental conditions. With the
                      emerging methods of phenotyping techniques and the necessity
                      of improving crop yield with limited resources, root
                      phenotyping for developing new genotypes is given increasing
                      attention to fulfill the increasing food demand of the
                      world. Therefore, characterizing the behavior of root system
                      with its surrounding environment and identifying beneficial
                      traits are of attention in the agricultural industry.
                      However, obtaining the information about root systems and
                      their interaction with soil of all stages of root systems of
                      field-grown crops is a challenging task because of the
                      hidden nature of roots. Traditionally, the root information
                      is extracted from field root sampling methods, which provide
                      limited information about root growth and distribution.
                      Therefore, obtaining a wide range of information such as the
                      entire root systemarchitecture can be identified as one of
                      the main challenges in this regard. Moreover, the influence
                      of soil and climatic factors on root growth has not been
                      studied extensively. Thus, estimating distribution and
                      functions of root systems that grow in different soil and
                      climatic conditions are poorly understood. Root architecture
                      models are becoming increasingly popular to study root
                      growth and its functions successfully to understand and
                      explain the mechanisms of root growth functions and to be
                      used as a tool for exposing “hidden” root systems.
                      Therefore, in this study, we demonstrate the use a RSA model
                      to characterize root system traits from classical field root
                      sampling schemes based on synthetic experiments and evaluate
                      the differences in simulated root growth patterns and
                      measured dynamic root development data in terms of different
                      crops, soil, and environmental conditions.
                      $\textbf{Materials and Methods:}$ The quantification of
                      parameter sensitivities was conducted based on a synthetic
                      experiment that mimics the root growth and rootd sampling
                      procedure in the real field. [...]},
      cin          = {IBG-3},
      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)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2020120310},
      url          = {https://juser.fz-juelich.de/record/887974},
}