Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production
Increasing global CO2 emissions have profound consequences for plant biology, not least because of direct influences on carbon gain. However, much remains uncertain regarding how our major crops will respond to a future high CO2 world. Crop model inter-comparison studies have identified large uncert...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Oxford University Press
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/89633 |
| _version_ | 1855513258633461760 |
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| author | Fodor, Nándor Challinor, Andrew J. Droutsas, Ioannis Ramírez Villegas, Julián Armando Zabel, Florian Köhler, Ann-Kristin Foyer, Christine H. |
| author_browse | Challinor, Andrew J. Droutsas, Ioannis Fodor, Nándor Foyer, Christine H. Köhler, Ann-Kristin Ramírez Villegas, Julián Armando Zabel, Florian |
| author_facet | Fodor, Nándor Challinor, Andrew J. Droutsas, Ioannis Ramírez Villegas, Julián Armando Zabel, Florian Köhler, Ann-Kristin Foyer, Christine H. |
| author_sort | Fodor, Nándor |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Increasing global CO2 emissions have profound consequences for plant biology, not least because of direct influences on carbon gain. However, much remains uncertain regarding how our major crops will respond to a future high CO2 world. Crop model inter-comparison studies have identified large uncertainties and biases associated with climate change. The need to quantify uncertainty has drawn the fields of plant molecular physiology, crop breeding and biology, and climate change modeling closer together. Comparing data from different models that have been used to assess the potential climate change impacts on soybean and maize production, future yield losses have been predicted for both major crops. When CO2 fertilization effects are taken into account significant yield gains are predicted for soybean, together with a shift in global production from the Southern to the Northern hemisphere. Maize production is also forecast to shift northwards. However, unless plant breeders are able to produce new hybrids with improved traits, the forecasted yield losses for maize will only be mitigated by agro-management adaptations. In addition, the increasing demands of a growing world population will require larger areas of marginal land to be used for maize and soybean production. We summarize the outputs of crop models, together with mitigation options for decreasing the negative impacts of climate on the global maize and soybean production, providing an overview of projected land-use change as a major determining factor for future global crop production. |
| format | Journal Article |
| id | CGSpace89633 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Oxford University Press |
| publisherStr | Oxford University Press |
| record_format | dspace |
| spelling | CGSpace896332025-03-13T09:43:57Z Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production Fodor, Nándor Challinor, Andrew J. Droutsas, Ioannis Ramírez Villegas, Julián Armando Zabel, Florian Köhler, Ann-Kristin Foyer, Christine H. photosynthesis fotosíntesis carbon dioxide dióxido de carbono crop production producción vegetal land use utilización de la tierra climate change cambio climático cell biology physiology Increasing global CO2 emissions have profound consequences for plant biology, not least because of direct influences on carbon gain. However, much remains uncertain regarding how our major crops will respond to a future high CO2 world. Crop model inter-comparison studies have identified large uncertainties and biases associated with climate change. The need to quantify uncertainty has drawn the fields of plant molecular physiology, crop breeding and biology, and climate change modeling closer together. Comparing data from different models that have been used to assess the potential climate change impacts on soybean and maize production, future yield losses have been predicted for both major crops. When CO2 fertilization effects are taken into account significant yield gains are predicted for soybean, together with a shift in global production from the Southern to the Northern hemisphere. Maize production is also forecast to shift northwards. However, unless plant breeders are able to produce new hybrids with improved traits, the forecasted yield losses for maize will only be mitigated by agro-management adaptations. In addition, the increasing demands of a growing world population will require larger areas of marginal land to be used for maize and soybean production. We summarize the outputs of crop models, together with mitigation options for decreasing the negative impacts of climate on the global maize and soybean production, providing an overview of projected land-use change as a major determining factor for future global crop production. 2017-11-01 2017-12-05T14:15:47Z 2017-12-05T14:15:47Z Journal Article https://hdl.handle.net/10568/89633 en Open Access Oxford University Press Fodor, Nándor; Challinor, Andrew; Droutsas, Ioannis; Ramirez-Villegas, Julian; Zabel, Florian; Koehler, Ann-Kristin; Foyer, Christine H.. 2017. Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production . Plant and Cell Physiology 58(11): 1833-1847. |
| spellingShingle | photosynthesis fotosíntesis carbon dioxide dióxido de carbono crop production producción vegetal land use utilización de la tierra climate change cambio climático cell biology physiology Fodor, Nándor Challinor, Andrew J. Droutsas, Ioannis Ramírez Villegas, Julián Armando Zabel, Florian Köhler, Ann-Kristin Foyer, Christine H. Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production |
| title | Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production |
| title_full | Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production |
| title_fullStr | Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production |
| title_full_unstemmed | Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production |
| title_short | Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production |
| title_sort | integrating plant science and crop modeling assessment of the impact of climate change on soybean and maize production |
| topic | photosynthesis fotosíntesis carbon dioxide dióxido de carbono crop production producción vegetal land use utilización de la tierra climate change cambio climático cell biology physiology |
| url | https://hdl.handle.net/10568/89633 |
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