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  1. 1.
    0558441 - ÚVGZ 2023 RIV NL eng J - Journal Article
    Wang, E. - He, D. - Wang, J. - Lilley, J. - Christy, B. - Hoffmann, M. - O'Leary, G. - Hatfield, J. - Ledda, L. - Deligios, P. - Grant, B. - Jing, Q. - Nendel, Claas - Kage, H. - Qian, B. - Rezaei, E. - Smith, W. - Weymann, W. - Ewert, F.
    How reliable are current crop models for simulating growth and seed yield of canola across global sites and under future climate change?
    Climatic Change. Roč. 172, č. 1-2 (2022), č. článku 20. ISSN 0165-0009. E-ISSN 1573-1480
    Institutional support: RVO:86652079
    Keywords : air co2 enrichment * brassica-napus * uncertainty * temperature * phenology * rapeseed * productivity * performance * ensembles * impacts * AgMIP * Brassica napus L. * Model calibration * Model improvement * Multimodel ensemble * Sensitivity analysis
    OECD category: Meteorology and atmospheric sciences
    Impact factor: 4.8, year: 2022
    Method of publishing: Open access
    https://link.springer.com/article/10.1007/s10584-022-03375-2
    Permanent Link: http://hdl.handle.net/11104/0332107
     
     

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