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@INPROCEEDINGS{Metzner:171786,
      author       = {Metzner, Ralf and Bühler, Jonas and Breuer, Esther and
                      Dautzenberg, Marco and Jahnke, Siegfried and Schurr, Ulrich
                      and Roeb, Gerhard and van Dusschoten, Dagmar},
      title        = {{F}ollowing development of belowground sugar beet traits
                      with {M}agnetic{R}esonance {I}maging ({MRI}) and {P}ositron
                      {E}mission {T}omography ({PET})},
      reportid     = {FZJ-2014-05350},
      year         = {2014},
      abstract     = {Both structural and functional properties of belowground
                      organs are critical for development and yield of plants, but
                      compared to the shoot, these are much more difficult to
                      observe due to soil opacity. With the yield relevant organ
                      situated belowground sugar beet is even more affected by
                      this difficulty than other crops. The beet shows a complex
                      tissue structure with several cambia active in parallel that
                      are tightly linked with its function in storing
                      photoassimilates in the form of sucrose. Additionally the
                      development of traits during the growth period such as
                      morphology, anatomy, sugar content and photoassimilate
                      allocation within the beet cannot be addressed with
                      destructive sampling techniques. Nevertheless, these are key
                      factors for sugar yield. Here, we show application of
                      Magnetic Resonance imaging (MRI) to investigate on a routine
                      basis the development of structural traits such as beet
                      diameter, biomass and width of cambia rings in plants potted
                      in an agricultural soil mixed with sand. Functional traits
                      such as sugar content and petiole xylem flow velocity were
                      investigated regularly during the same time periods of up to
                      four months. Individual tissues could be identified using
                      MRI T2-maps with the aid of light microscopy at final
                      harvest allowing the study of the development of tissues
                      such as cambia, phloem or storage parenchyma in the cambial
                      rings. Different Genotypes, commercial varieties as well as
                      such of contrasting sugar content from KWS material were
                      compared. For studying photoassimilate allocation we applied
                      Positron Emission Tomography (PET) using carbon isotope 11C
                      as a tracer. We show 3D PET maps of Radioactivity in the
                      beet tracing the routes of photoassimilate translocation
                      from the leaves into the beet. This revealed translocation
                      pattern and their dynamics during three month of growth.
                      These data are further used for fitting simple transport
                      models, to estimate assimilate transport velocity and
                      assimilate storage along the transport pathway in specific
                      sections of the beet. Together these approaches have the
                      potential to yield unique insights into sugar beet
                      belowground development. Thereby they will shed new light on
                      processes like sugar storage or stress responses in the
                      beet.},
      month         = {Sep},
      date          = {2014-09-29},
      organization  = {PLANT PHENOTYPING: CONCEPTS, SENSORS
                       AND APPLICATIONS, Bonn (Germany), 29
                       Sep 2014 - 1 Oct 2014},
      subtyp        = {Other},
      cin          = {IBG-2},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {242 - Sustainable Bioproduction (POF2-242) / BMBF-0315532A
                      - CROP.SENSe.net (BMBF-0315532A) / DPPN - Deutsches Pflanzen
                      Phänotypisierungsnetzwerk (BMBF-031A053A)},
      pid          = {G:(DE-HGF)POF2-242 / G:(DE-Juel1)BMBF-0315532A /
                      G:(DE-Juel1)BMBF-031A053A},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/171786},
}