Multimodel ensembles of wheat growth: many models are better than one

Crop models of crop growth are increasingly used to quantify the impact of global changes due to climate or crop management. Therefore, accuracy of simulation results is a major concern. Studies with ensembles of crop models can give valuable information about model accuracy and uncertainty, but suc...

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Autores principales:	Martre, Pierre, Wallach, Daniel, Asseng, Senthold, Ewert, Frank, Jones, James W., Rötter, Reimund P., Boote, Kenneth J., Ruane, Alex C., Thorburn, Peter J., Cammarano, Davide, Hatfield, Jerry L., Rosenzweig, Cynthia, Aggarwal, Pramod K., Angulo, Carlos, Basso, Bruno, Bertuzzi, Patrick, Biernath, Christian, Brisson, Nadine, Challinor, Andrew J., Doltra, Jordi, Gayler, Sebastian, Goldberg, Richie, Grant, Robert F., Heng, Lee, Hooker, Josh, Hunt, Leslie A., Ingwersen, Joachim, Izaurralde, Roberto César, Kersebaum, Kurt-Christian, Müller, Christoph, Kumar, Soora Naresh, Nendel, Claas, O’Leary, Garry J., Olesen, Jørgen E., Osborne, Tom M., Palosuo, Taru, Priesack, Eckart, Ripoche, Dominique, Semenov, Mikhail A., Shcherbak, Iurii, Steduto, Pasquale, Stöckle, Claudio O., Stratonovitch, Pierre, Streck, Thilo, Supit, Iwan, Tao, Fulu, Travasso, Maria, Waha, Katharina, White, Jeffrey W., Wolf, Joost
Formato:	Journal Article
Lenguaje:	Inglés
Publicado:	Wiley 2015
Materias:	mathematical models simulation models wheats yields triticum aestivum modelos matemáticos modelos de simulación trigo rendimiento ecology
Acceso en línea:	https://hdl.handle.net/10568/57489