% 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{Jahnke:819219,
      author       = {Jahnke, Siegfried and Roussel, Johanna and Hombach, Thomas
                      and Kochs, Johannes and Fischbach, Andreas and Huber, Gregor
                      and Scharr, Hanno},
      title        = {pheno{S}eeder - {A} robot system for automated handling and
                      phenotyping of individual seeds},
      journal      = {Plant physiology},
      volume       = {172},
      number       = {3},
      issn         = {0032-0889},
      address      = {Rockville, Md.},
      publisher    = {Soc.},
      reportid     = {FZJ-2016-04927},
      pages        = {1358-1370},
      year         = {2016},
      abstract     = {The enormous diversity of seed traits is an intriguing
                      feature and critical for the overwhelming success of higher
                      plants. In particular, seed mass is generally regarded to be
                      key for seedling development but is mostly approximated by
                      using scanning methods delivering only two-dimensional data,
                      often termed seed size. However, three-dimensional traits,
                      such as the volume or mass of single seeds, are very rarely
                      determined in routine measurements. Here, we introduce a
                      device named phenoSeeder, which enables the handling and
                      phenotyping of individual seeds of very different sizes. The
                      system consists of a pick-and-place robot and a modular
                      setup of sensors that can be versatilely extended. Basic
                      biometric traits detected for individual seeds are
                      two-dimensional data from projections, three-dimensional
                      data from volumetric measures, and mass, from which seed
                      density is also calculated. Each seed is tracked by an
                      identifier and, after phenotyping, can be planted, sorted,
                      or individually stored for further evaluation or processing
                      (e.g. in routine seed-to-plant tracking pipelines). By
                      investigating seeds of Arabidopsis (Arabidopsis thaliana),
                      rapeseed (Brassica napus), and barley (Hordeum vulgare), we
                      observed that, even for apparently round-shaped seeds of
                      rapeseed, correlations between the projected area and the
                      mass of seeds were much weaker than between volume and mass.
                      This indicates that simple projections may not deliver good
                      proxies for seed mass. Although throughput is limited, we
                      expect that automated seed phenotyping on a single-seed
                      basis can contribute valuable information for applications
                      in a wide range of wild or crop species, including seed
                      classification, seed sorting, and assessment of seed
                      quality.},
      cin          = {IBG-2},
      ddc          = {580},
      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)16},
      UT           = {WOS:000391172300002},
      pubmed       = {pmid:27663410},
      doi          = {10.1104/pp.16.01122},
      url          = {https://juser.fz-juelich.de/record/819219},
}