% 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”.

@INPROCEEDINGS{Wuyts:850755,
      author       = {Wuyts, Nathalie and Lenz, Henning and Putz, Alexander and
                      Heinz, Kathrin and Galinski, Anna and Müller, Carmen and
                      Kleinert, Ann-Katrin and Kleinen, Silke and Mück, Olaf and
                      Bodewein, Thomas and Koerber, Niklas and Bruns, Benjamin and
                      Wilhelm, Jens and Nagel, Kerstin and Fiorani, Fabio and
                      Schurr, Ulrich},
      title        = {{DPPN}-{R}oot and {DPPN}-shoot: {P}lant phenotyping
                      infrastructure as an instrumental tool in the assessment of
                      plant performance in the frame of crop breeding for resource
                      use efficiency},
      reportid     = {FZJ-2018-04533},
      year         = {2018},
      abstract     = {The controlled conditions phenotyping infrastructure of the
                      DPPN-Jülich node provides established facilities for
                      experimental research, while being under continuous
                      development and expansion. Besides excellent phenotyping
                      platform hardware and software, and in-house developed data
                      analysis pipelines, experience in good phenotyping
                      practices, including the collection and management of
                      metadata on plants and their environment, and making the
                      best use of platforms in regard to the biological question
                      being addressed, is a major driver for both public and
                      private sector research to access the phenotyping
                      infrastructure also in the form of bilateral cooperative
                      projects. The plant species grown in the platforms include a
                      wide range of model and crop species, for which phenotypic
                      traits on growth, development and physiological behaviour
                      are quantitatively measured. Automated and high-throughput
                      trait assessment at both the shoot and root system, and the
                      organ level is complemented with the measurement of shoot
                      and root biomass, transpiration and photosynthesis, and
                      individual organ growth and morphology, to provide a
                      comprehensive evaluation of the plant phenotype with respect
                      to the imposed environmental conditions.The DPPN-Jülich
                      node has put its infrastructure into practice by providing
                      much-needed capacity for solving pertinent research
                      questions related to plant performance in breeding
                      strategies for resource-limited environments. In the case of
                      wheat, the effect of domestication on the phenotypic
                      diversity of the germplasm was investigated under
                      contrasting nitrogen conditions (Gioia et al. 2015), whereas
                      its water use strategies under control and drought
                      conditions were determined and compared between landraces
                      and modern cultivars (Nakhforoosh et al. 2016). Shoot and
                      root system responses to drought were characterized at the
                      seedling stage of development in maize hybrids with known
                      drought tolerance states under field conditions in an
                      attempt to determine seedling stage traits relevant for
                      early screening for drought tolerance (Avramova et al.
                      2016). These examples of access in the form of bilateral
                      cooperative projects that have led to peer-reviewed
                      scientific publications therefore demonstrate the importance
                      of plant phenotyping infrastructure and
                      know-how.LiteratureGioia T., Nagel K.A., Beleggia R. et al.
                      (2015). The impact of domestication on the phenotypic
                      architecture of durum wheat under contrasting nitrogen
                      fertilisation. Journal of Experimental Botany 66, 5519-5530.
                      Avramova V., Nagel K.A., AbdElgawad H., Bustos D., DuPlessis
                      M., Fiorani F., Beemster G.T.S. (2016) Screening for drought
                      tolerance of maize hybrids by multi-scale analysis of root
                      and shoot traits at the seedling stage. Journal of
                      Experimental Botany 67, 2453-2466. Nakhforoosh A., Bodewein
                      T., Fiorani F., Gernot Bodner (2016). Identification of
                      water use strategies at early growth stages in durum wheat
                      from shoot phenotyping and physiological measurements.
                      Frontiers in Plant Science 7, 1155.},
      month         = {Feb},
      date          = {2018-02-05},
      organization  = {PLANT 2030 Status Seminar, Potsdam
                       (Germany), 5 Feb 2018 - 7 Feb 2018},
      subtyp        = {After Call},
      cin          = {IBG-2},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582) / DPPN - Deutsches Pflanzen
                      Phänotypisierungsnetzwerk (BMBF-031A053A)},
      pid          = {G:(DE-HGF)POF3-582 / G:(DE-Juel1)BMBF-031A053A},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/850755},
}