Výsledky vyhledávání
- 1.0585466 - ÚVGZ 2025 RIV NL eng J - Článek v odborném periodiku
Kothari, K. - Battisti, R. - Boote, K.J. - V. Archontoulis, S. - Confalone, A. - Constantin, J. - Cuadra, S.V. - Debaeke, P. - Faye, B. - Grant, B. - Hoogenboom, G. - Jing, Q. - van der Laan, M. - Antonio, F. - da Silva, M. - Marin, F.R. - Nehbandani, A. - Nendel, Claas - Purcell, L.C. - Qian, B. - Ruane, A.C. - Schoving, C. - Silva, E.H.F.M. - Smith, W. - Soltani, A. - Srivastava, A. - Vieira Jr, N.A. - Salmeron, M.
Evaluating differences among crop models in simulating soybean in-season growth.
Field Crops Research. Roč. 309, APR (2024), č. článku 109306. ISSN 0378-4290. E-ISSN 1872-6852
Institucionální podpora: RVO:86652079
Klíčová slova: dry-matter accumulation * seed growth * climate-change * nitrogen limitations * yield * water * maturity * duration * moisture * 21st-century * Agricultural Model Intercomparison and * Improvement Project (AgMIP) * multimodel evaluation * pod growth * leaf area index * reproductive partitioning
Obor OECD: Agronomy, plant breeding and plant protection
Impakt faktor: 5.6, rok: 2023
Způsob publikování: Omezený přístup
https://www.sciencedirect.com/science/article/pii/S0378429024000595?via%3Dihub
Trvalý link: https://hdl.handle.net/11104/0353159 - 2.0558441 - ÚVGZ 2023 RIV NL eng J - Článek v odborném periodiku
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
Institucionální podpora: RVO:86652079
Klíčová slova: 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
Obor OECD: Meteorology and atmospheric sciences
Impakt faktor: 4.8, rok: 2022
Způsob publikování: Open access
https://link.springer.com/article/10.1007/s10584-022-03375-2
Trvalý link: http://hdl.handle.net/11104/0332107