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Gaps and strategies for accurate simulation of waterlogging impacts on crop productivity

Margarita García‐Vila, Murilo dos Santos Vianna, Matthew Tom Harrison, Ke Liu, Rogério de S. Nóia-Júnior, Tobias K. D. Weber, Jin Zhao, Marco Acutis, Sotirios V. Archontoulis, Senthold Asseng, Pierre Aubry, Juraj Balkovič, Bruno Basso, Xianguan Chen, Yi Chen, Quirijn de Jong van Lier, Mathieu Delandmeter, Allard de Wit, Benjamin Dumont, Roberto Ferrise, Christian Folberth, Mara Gabbrielli, Thomas Gaiser, Aram Gorooei, Gerrit Hoogenboom, Kurt Christian Kersebaum, Yean‐Uk Kim, David Kraus, Bing Liu, Lioba Martin, Klaas Metselaar, Claas Nendel, Gloria Padovan, Alessia Perego, Diana-Maria Seserman, Clemens Scheer, Vakhtang Shelia, Valentina Stocca, Fulu Tao, Enli Wang, Heidi Webber, Zhigan Zhao, Yan Zhu, Taru Palosuo

2025Nature Food14 citationsDOIOpen Access PDF

Topics & Concepts

Waterlogging (archaeology)ProductivityCrop productivityEnvironmental scienceAgricultural engineeringCropSimulation modelingCrop simulation modelAgronomyEconomicsEngineeringEcologyBiologyMacroeconomicsMicroeconomicsWetlandPlant responses to water stressRice Cultivation and Yield ImprovementPlant Water Relations and Carbon Dynamics
Gaps and strategies for accurate simulation of waterlogging impacts on crop productivity | Litcius