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@ARTICLE{Millet:826912,
      author       = {Millet, Emilie and Welcker, Claude and Kruijer, Willem and
                      Negro, Sandra and Nicolas, Stephane and Praud, Sebastien and
                      Ranc, Nicolas and Presterl, Thomas and Tuberosa, Roberto and
                      Bedo, Zoltan and Draye, Xavier and Usadel, Björn and
                      Charcosset, Alain and van Eeuwijk, Fred and Tardieu,
                      Francois and Coupel-Ledru, Aude and Bauland, Cyril},
      title        = {{G}enome-wide analysis of yield in {E}urope: allelic
                      effects as functions of drought and heat scenarios},
      journal      = {Plant physiology},
      volume       = {172},
      number       = {2},
      issn         = {1532-2548},
      address      = {Rockville, Md.},
      publisher    = {Soc.},
      reportid     = {FZJ-2017-01128},
      pages        = {749-764},
      year         = {2016},
      abstract     = {Assessing the genetic variability of plant performance
                      under heat and drought scenarios can contribute to reduce
                      the negative effects of climate change. We propose here an
                      approach that consisted of (1) clustering time courses of
                      environmental variables simulated by a crop model in current
                      (35 years × 55 sites) and future conditions into six
                      scenarios of temperature and water deficit as experienced by
                      maize (Zea mays L.) plants; (2) performing 29 field
                      experiments in contrasting conditions across Europe with 244
                      maize hybrids; (3) assigning individual experiments to
                      scenarios based on environmental conditions as measured in
                      each field experiment; frequencies of temperature scenarios
                      in our experiments corresponded to future heat scenarios
                      (+5°C); (4) analyzing the genetic variation of plant
                      performance for each environmental scenario. Forty-eight
                      quantitative trait loci (QTLs) of yield were identified by
                      association genetics using a multi-environment multi-locus
                      model. Eight and twelve QTLs were associated to tolerances
                      to heat and drought stresses because they were specific to
                      hot and dry scenarios, respectively, with low or even
                      negative allelic effects in favorable scenarios. Twenty-four
                      QTLs improved yield in favorable conditions but showed
                      nonsignificant effects under stress; they were therefore
                      associated with higher sensitivity. Our approach showed a
                      pattern of QTL effects expressed as functions of
                      environmental variables and scenarios, allowing us to
                      suggest hypotheses for mechanisms and candidate genes
                      underlying each QTL. It can be used for assessing the
                      performance of genotypes and the contribution of genomic
                      regions under current and future stress situations and to
                      accelerate breeding for drought-prone environments.},
      cin          = {IBG-2},
      ddc          = {580},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000391147700011},
      pubmed       = {pmid:27436830},
      doi          = {10.1104/pp.16.00621},
      url          = {https://juser.fz-juelich.de/record/826912},
}