Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions.

Li, Tao; Hasegawa, Toshihiro; Yin, Xinyou; Zhu, Yan; Boote, Kenneth; Adam, Myriam; Bregaglio, Simone; Buis, Samuel; Confalonieri, Roberto; Fumoto, Tamon; Gaydon, Donald; Marcaida, Manuel; Nakagawa, Hiroshi; Oriol, Philippe; Ruane, Alex C; Ruget, Françoise; Singh, Balwinder-; Singh, Upendra; Tang, Liang; Tao, Fulu; Wilkens, Paul; Yoshida, Hiroe; Zhang, Zhao; Bouman, Bas

Li, Tao; Hasegawa, Toshihiro; Yin, Xinyou; Zhu, Yan; Boote, Kenneth; Adam, Myriam; Bregaglio, Simone; Buis, Samuel; Confalonieri, Roberto; Fumoto, Tamon; Gaydon, Donald; Marcaida, Manuel; Nakagawa, Hiroshi; Oriol, Philippe; Ruane, Alex C; Ruget, Françoise; Singh, Balwinder-; Singh, Upendra; Tang, Liang; Tao, Fulu; Wilkens, Paul; Yoshida, Hiroe; Zhang, Zhao; Bouman, Bas.

Li T; International Rice Research Institute, Los Baños, Philippines.

Glob Chang Biol ; 21(3): 1328-41, 2015 Mar.

Article en En | MEDLINE | ID: mdl-25294087

Asunto(s)

Agricultura; Clima; Modelos Teóricos; Oryza/crecimiento & desarrollo; Asia; Abastecimiento de Alimentos; Sensibilidad y Especificidad; Incertidumbre

Palabras clave

AgMIP; Oryza sativa; climate change; crop-model ensembles; yield prediction uncertainty

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Oryza / Clima / Agricultura / Modelos Teóricos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies País como asunto: Asia Idioma: En Año: 2015 Tipo del documento: Article

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