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

Global Change Biology

Volumn 21, Issue 3, 2015, Pages 1328-1341

  Li, Tao ^a   Hasegawa, Toshihiro ^b   Yin, Xinyou ^c   Zhu, Yan ^d   Boote, Kenneth ^e   Adam, Myriam ^f   Bregaglio, Simone ^g   Buis, Samuel ^h   Confalonieri, Roberto ^g   Fumoto, Tamon ^b   Gaydon, Donald ⁱ   Marcaida, Manuel ^a   Nakagawa, Hiroshi ^j   Oriol, Philippe ^f   Ruane, Alex C ^k   Ruget, Françoise ^h   Singh, Balwinder ^l   Singh, Upendra ^m   Tang, Liang ^d   Tao, Fulu ⁿ   Wilkens, Paul ^m   Yoshida, Hiroe ^j   Zhang, Zhao ^o   Bouman, Bas ^a   more..

^a INTERNATIONAL RICE RESEARCH INSTITUTE   (Philippines)

^b NATIONAL INSTITUTE FOR AGRO ENVIRONMENTAL SCIENCES   (Japan)

^c WAGENINGEN UNIVERSITY   (Netherlands)

^d NANJING AGRICULTURAL UNIVERSITY   (China)

^e UNIVERSITY OF FLORIDA   (United States)

^f UMR AGAP   (France)

^g UNIVERSITY OF MILAN   (Italy)

^h UAPV   (France)

ⁱ CSIRO   (Australia)

^j FOOD RESEARCH INSTITUTE   (Japan)

^k NASA GODDARD INSTITUTE FOR SPACE STUDIES   (United States)

^l CIMMYT   (India)

^m International Center for Soil Fertility and Agricultural Development   (United States)

ⁿ INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^o BEIJING NORMAL UNIVERSITY   (China)

more..

Author keywords

Oryza sativa; AgMIP; Climate change; Crop model ensembles; Yield prediction uncertainty

Indexed keywords

CLIMATE CHANGE; CLIMATE CONDITIONS; CLIMATE EFFECT; CROP PRODUCTION; CROP YIELD; MODELING; PREDICTION; RICE; UNCERTAINTY ANALYSIS;

ORYZA SATIVA;

AGRICULTURE; ASIA; CATERING SERVICE; CLIMATE; GROWTH, DEVELOPMENT AND AGING; RICE; SENSITIVITY AND SPECIFICITY; THEORETICAL MODEL; UNCERTAINTY;

AGRICULTURE; ASIA; CLIMATE; FOOD SUPPLY; MODELS, THEORETICAL; ORYZA SATIVA; SENSITIVITY AND SPECIFICITY; UNCERTAINTY;

EID: 84923015972     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/gcb.12758     Document Type: Article

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