Improving Rice Models for More Reliable Prediction of Responses of Rice Yield to CO2 and Temperature Elevation
| Author | Tao Li | |
| Author | Xinyou Yin | |
| Author | Toshihiro Hasegawa | |
| Author | Ken Boote | |
| Author | Yan Zhu | |
| Author | Myriam Adam | |
| Author | Jeff Baker | |
| Author | Bas Bouman | |
| Author | Simone Bregaglio | |
| Author | Samuel Buis | |
| Author | Roberto Confalonieri | |
| Author | Job Fugice | |
| Author | Tamon Fumoto | |
| Author | Donald Gaydon | |
| Author | Soora Naresh Kumar | |
| Author | Tanguy Lafarge | |
| Author | Manuel Marcaida | |
| Author | Yuji Masutomi | |
| Author | Hitochi Nakagawa | |
| Author | DNL Pequeno | |
| Author | Alex C. Ruane | |
| Author | Françoise Ruget | |
| Author | Upendra Singh | |
| Author | Liang Tang | |
| Author | Fulu Tao | |
| Author | Daniel Wallach | |
| Author | Lloyd T. Wilson | |
| Author | Yubin Yang | |
| Author | Hiroe Yoshida | |
| Author | Zhao Zhang | |
| Author | Jinyu Zhu | |
| Date of acession | 2023-11-03T11:52:25Z | |
| Date of availability | 2023-11-03T11:52:25Z | |
| Date of issue | 2016 | |
| Abstract | Increased CO2 concentration and air temperature are two very important variables associated with global warming and climate change. Assessing the putative impacts of these factors on rice production is crucial for global food security due to rice being the staple food for more than half of the world population. Rice crop models are useful for predicting rice productivity under climate change. However, model predictions have uncertainties arisen due to the inaccurate inputs and the varying capabilities of models to capture yield performance. A series of modeling activities were implemented by the AgMIP Rice Team (consisting of 16 rice models currently) to improve the model capability for reducing the uncertainties of model prediction. | |
| DOI | https://agritrop.cirad.fr/580149/ | |
| URL | https://hub.ifdc.org/handle/20.500.14297/2683 | |
| URL | https://agritrop.cirad.fr/580149/ | |
| Language | en | |
| Title | Improving Rice Models for More Reliable Prediction of Responses of Rice Yield to CO2 and Temperature Elevation |