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0473915 - ÚVGZ 2018 RIV NL eng J - Journal Article
Yin, X. - Kersebaum, K. C. - Kollas, C. - Baby, S. - Beaudoin, N. - Manevski, K. - Palosuo, T. - Nendel, C. - Wu, L. - Hoffmann, M. - Hoffmann, H. D. - Sharif, B. - Armas-Herrera, C. - Bindi, M. - Charfeddine, M. - Conradt, T. - Constantin, J. - Ewert, F. - Ferrise, R. - Gaiser, T. - de Cortazar-Atauri, I. G. - Giglio, L. - Hlavinka, Petr - Lana, M. - Launay, M. - Louarn, G. - Manderscheid, R. - Mary, B. - Mirschel, W. - Moriondo, M. - Oeztuerk, M. - Pacholski, A. - Ripoche-Wachter, D. - Roetter, R. P. - Ruget, F. - Trnka, Miroslav - Ventrella, D. - Weigel, H-J. - Olesen, J. E.
Multi-model uncertainty analysis in predicting grain N for crop rotations in Europe.
European Journal of Agronomy. Roč. 84, mar (2017), s. 152-165. ISSN 1161-0301. E-ISSN 1873-7331
R&D Projects: GA MŠMT(CZ) LO1415
Institutional support: RVO:67179843
Keywords : air co2 enrichment * climate-change * catch crops * nitrogen-fertilization * wheat production * winter-wheat * model stics * sugar-beet * wide-range * growth * Continuous simulation * Grain N * Model calibration * Model ensemble * Model inter-comparison * Single year simulation
OECD category: Agronomy, plant breeding and plant protection
Impact factor: 3.192, year: 2017
Permanent Link: http://hdl.handle.net/11104/0271020