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@INPROCEEDINGS{Fiorani:828097,
      author       = {Fiorani, Fabio and Rascher, Uwe and Nagel, Kerstin and
                      Pieruschka, Roland and Jahnke, Siegfried and Watt, Michelle
                      and Schurr, Ulrich},
      title        = {{A}pplication of plant phenotyping technologies for seed,
                      leaf and root productivity traits},
      reportid     = {FZJ-2017-02096},
      year         = {2017},
      abstract     = {n recent years non- and minimally-invasive technologies for
                      quantitative measurements of plant traits linked to
                      productivity received increasing attention both by the
                      public and private research domains to alleviate the
                      so-called ‚phenotyping bottleneck‘ [1]. Concerted
                      actions at the national and international level resulted in
                      a growing research community promoting shared research
                      access to national and international phenotyping platforms
                      and continuing the development of novel methodologies and
                      infrastructure [2, 3]. At our Institute we contributed
                      significantly to shape the research landscape of plant
                      phenomics. In this presentation we will first provide an
                      overview as well as strengths and weaknesses of
                      state-of-the-art phenotyping technologies for selected seed,
                      shoot, and root traits. We will then focus on recent
                      examples of our research highlighting progress and
                      achievements, in particular for: i) single-seed analyses of
                      shape, color, volume, and density and the link of these
                      traits with early plant vigor [4, 5]; imaging of shoot and
                      root architecture in a pre-breeding context [6, 7, 8]; 3D
                      and tomographic reconstructions of plant organs for in-depth
                      analyses of growth and architecture [9, 10]; functional
                      analyses of photosynthetic activity in the lab and in the
                      field [11, 12, 13]. These examples include research
                      contributing to understanding and improving plant water and
                      nutrient productivity for major crops with consideration to
                      species of major interest for Thai agriculture, such as
                      cassava, based on ongoing cooperation with NSTDA. Based on
                      our experience in this research field, we will share in the
                      final remarks the main points learned so far in applying
                      non-invasive technologies both for high-throughput and deep
                      phenotyping as well as emerging research questions that can
                      be tackled by plant phenotyping methodologies. We underlie
                      that one of the key aspects for successful developments in
                      this research field is building multi-disciplinary research
                      teams and collaborative projects encompassing plant
                      biologist and agronomists, bio-physicists and software and
                      hardware engineers.References [1] Fiorani F, Schurr U. 2013.
                      Future scenarios for plant phenotyping. Annual Review Plant
                      Biology, 64: 267-291. [2] The International Plant
                      Phenotyping Network (IPPN):
                      http://www.plant-phenotyping.org/ [3] Rascher U. et al.
                      2011.(2011) Non-invasive approaches for phenotyping of
                      enhanced performance traits in bean. Functional Plant
                      Biology, 38, 968-983. [4] Roussel J et al. 2016. 3D Surface
                      reconstruction of plant seeds by volume carving: performance
                      and accuracies. Frontiers in Functional Plant Ecology 7,
                      745. [5] Jahnke S. et al. 2016.Plant Physiology, accepted
                      (with minor revisions). [6] Gioia T et al. 2015. Impact of
                      domestication on the phenotypic architecture of durum wheat
                      under contrasting nitrogen fertilization. Journal of
                      Experimental Botany 66(18), 5519-5530. [7] Nakhforoosh A. et
                      al. 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. [8] Wasson, A. et al. 2016. A portable fluorescence
                      spectroscopy imaging system for automated root phenotyping
                      in soil cores in the field. Journal of Experimental Botany
                      67(4), 1033 – 1043.},
      month         = {Feb},
      date          = {2017-02-27},
      organization  = {International Conference on
                       sustainable agriculture and bioeconomy
                       2017, Bangkok (Thailand), 27 Feb 2017 -
                       2 Mar 2017},
      subtyp        = {Plenary/Keynote},
      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)6},
      url          = {https://juser.fz-juelich.de/record/828097},
}