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Impact of spatial soil and climate input data aggregation on regional yield simulations.

  • H. Hoffmann
  • , G. Zhao
  • , S. Asseng
  • , M. Bindi
  • , C. Biernath
  • , J. Constantin
  • , E. Coucheney
  • , R. Dechow
  • , L. Doro
  • , H. Eckersten
  • , T. Gaiser
  • , B. Grosz
  • , F. Heinlein
  • , B.T. Kassie
  • , K.C. Kersebaum
  • , C. Klein
  • , M. Kuhnert
  • , E. Lewan
  • , M. Moriondo
  • , C. Nendel
  • E. Priesack, H. Raynal, P.P. Roggero, R.P. Rotter, S. Siebert, X. Specka, F.L. Tao, E. Teixeira, G. Trombi, D. Wallach, L. Weihermuller, J. Yeluripati, F. Ewert
  • University of Bonn
  • University of Florida
  • University of Florence
  • Helmholtz Centre Munich
  • INRA - Institut National de la Recherche Agronomique
  • Swedish University of Agricultural Sciences
  • Thünen Institute
  • University of Sassari
  • Leibniz Centre for Agricultural Landscape Research
  • University of Aberdeen
  • CNR IbIMET
  • Natural Resources Institute Finland
  • New Zealand Institute for Plant and Food Research Ltd.
  • Jülich Research Centre

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article numberArt. e0151782
JournalPLoS ONE
Volume11
Issue number4
DOIs
Publication statusPublished - 7 Apr 2016

Keywords

  • Calibration
  • Crop models
  • Data resolution
  • Nitrogen dynamics
  • Systems simulation
  • Water
  • Winter wheat (Triticum aestivum L.)

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