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@ARTICLE{Watt:874225,
      author       = {Watt, Michelle and Fiorani, Fabio and Usadel, Björn and
                      Rascher, Uwe and Muller, Onno and Schurr, Ulrich},
      title        = {{P}henotyping: {N}ew {W}indows into the {P}lant for
                      {B}reeders},
      journal      = {Annual review of plant biology},
      volume       = {71},
      number       = {1},
      issn         = {1545-2123},
      address      = {Palo Alto, Calif.},
      publisher    = {Annual Reviews Inc.},
      reportid     = {FZJ-2020-01318},
      pages        = {},
      year         = {2020},
      abstract     = {Plant phenotyping enables noninvasive quantification of
                      plant structure andfunction and interactions with
                      environments. High-capacity phenotypingreaches hitherto
                      inaccessible phenotypic characteristics. Diverse,
                      challenging,and valuable applications of phenotyping have
                      originated among scientists,prebreeders, and breeders as
                      they study the phenotypic diversity of geneticresources and
                      apply increasingly complex traits to crop
                      improvement.Noninvasive technologies are used to analyze
                      experimental and breedingpopulations.We cover the most
                      recent research in controlled-environmentand field
                      phenotyping for seed, shoot, and root traits. Select field
                      phenotypingtechnologies have become state of the art and
                      show promise for speedingup the breeding process in early
                      generations.We highlight the technologiesbehind the rapid
                      advances in proximal and remote sensing of plants in
                      fields.We conclude by discussing the new disciplines working
                      with the phenotypingcommunity: data science, to address the
                      challenge of generating FAIR(findable, accessible,
                      interoperable, and reusable) data, and robotics, to
                      applyphenotyping directly on farms.},
      cin          = {IBG-2},
      ddc          = {050},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582) / DPPN - Deutsches Pflanzen
                      Phänotypisierungsnetzwerk (BMBF-031A053A) / EPPN - European
                      Plant Phenotyping Network (284443) / EMPHASIS-PREP -
                      Preparation for EMPHASIS: European Infrastructure for
                      multi-scale Plant Phenomics and Simulation for food security
                      in a changing climate (739514)},
      pid          = {G:(DE-HGF)POF3-582 / G:(DE-Juel1)BMBF-031A053A /
                      G:(EU-Grant)284443 / G:(EU-Grant)739514},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32097567},
      UT           = {WOS:000614648400025},
      doi          = {10.1146/annurev-arplant-042916-041124},
      url          = {https://juser.fz-juelich.de/record/874225},
}