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@ARTICLE{Poorter:5324,
      author       = {Poorter, H. and Niinemets, Ü. and Walter, A. and Fiorani,
                      F. and Schurr, U.},
      title        = {{A} method to construct dose - response curves for a wide
                      range of environmental factors and plant traits by means of
                      a meta-analysis of phenotypic data},
      journal      = {The journal of experimental botany},
      volume       = {61},
      issn         = {0022-0957},
      address      = {Oxford},
      publisher    = {Univ. Press},
      reportid     = {PreJuSER-5324},
      pages        = {2043 - 2055},
      year         = {2010},
      note         = {This is an electronic version of an article published in:
                      Journal of Experimental Botany, Vol. 61, No. 8, pp.
                      2043–2055, 2010.},
      comment      = {Journal of Experimental Botany (2010) 61 (8): 2043-2055},
      booktitle     = {Journal of Experimental Botany (2010)
                       61 (8): 2043-2055},
      abstract     = {In the past, biologists have characterized the responses of
                      a wide range of plant species to their environment. As a
                      result, phenotypic data from hundreds of experiments are
                      publicly available now. Unfortunately, this information is
                      not structured in a way that enables quantitative and
                      comparative analyses. We aim to fill this gap by building a
                      large database which currently contains data on 1000
                      experiments and 800 species. This paper presents methodology
                      to generalize across different experiments and species,
                      taking the response of specific leaf area (SLA; leaf
                      area:leaf mass ratio) to irradiance as an example. We show
                      how to construct and quantify a normalized mean
                      light-response curve, and subsequently test whether there
                      are systematic differences in the form of the curve between
                      contrasting subgroups of species. This meta-analysis is then
                      extended to a range of other environmental factors important
                      for plant growth as well as other phenotypic traits, using
                      >5300 mean values. The present approach, which we refer to
                      as 'meta-phenomics', represents a valuable tool in
                      understanding the integrated response of plants to their
                      environment and could serve as a benchmark for future
                      phenotyping efforts as well as for modelling global change
                      effects on both wild species and crops.},
      keywords     = {Botany: methods / Databases, Factual / Environment / Light
                      / Phenotype / Plant Leaves: chemistry / Plant Leaves:
                      physiology / Plant Leaves: radiation effects / Biomass
                      allocation / dry matter percentage / environment /
                      meta-phenomics / plasticity / response curve / specific leaf
                      area / J (WoSType)},
      cin          = {ICG-3 / JARA-ENERGY},
      ddc          = {580},
      cid          = {I:(DE-Juel1)ICG-3-20090406 / $I:(DE-82)080011_20140620$},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Plant Sciences},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:20048331},
      UT           = {WOS:000277987500002},
      doi          = {10.1093/jxb/erp358},
      url          = {https://juser.fz-juelich.de/record/5324},
}