Climate change impact on crop production using different climate model projections varies considerably and it is challenging to choose a suitable climate scenario for risk assessment. This study aims to assess the climate change impact on the wheat crop in nine agro-climatic zones (ACZs) of Uttar Pradesh (UP) in Northern India using the CERES-Wheat crop model, driven by high resolution projected climate from different regional climate models (RCMs). The results show that the vegetative growth period would be shortened across the ACZs and scenarios where higher reductions will be witnessed under RCP 8.5 viz., up to 10 days in the 2050s (2040-2069), and 14 days in the 2080s (2070-2099). Also, in the 2080s shortening up to 17 days will be observed in the total growth period under RCP 8.5. When elevated CO2 concentration was not considered the wheat yields were found to reduce up to 20.5 and 30% under RCP 4.5 and RCP 8.5, respectively, in the 2050s. In the 2080s, the losses will be more pronounced reaching up to 41.5% under RCP 8.5. With the consideration of CO2, the yield reductions will be up to 14 and 18% under RCP 4.5 and RCP 8.5 respectively in the 2080s. Uncertainty associated with climate model revealed that ACCESS 1-0 and MPI-ESM-LR predicted higher mean yield reductions while CNRM-CM5 has shown a mild effect. Present study concluded that eastern UP is a vulnerable region for wheat production in the 21st century. The results suggest that there is an urgent need for developing suitable adaptation strategies to ameliorate the adverse effects on wheat production in UP through regional policy planning.
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Univ Fed Rio de Janeiro, Inst Postgrad Studies & Res Engn, Ctr Integrated Studies Climate Change & Environm, Energy Planning Programme,CentroClima PPE COPPE UF, Rio De Janeiro, BrazilCMCC Fdn, Euro Mediterranean Ctr Climate Change, Lecce, Italy
Grottera, Carolina
Guivarch, Celine
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Ctr Int Rech & Environm & Dev CIRED, Nogent Sur Marne, France
Ecole Ponts, Paris, FranceCMCC Fdn, Euro Mediterranean Ctr Climate Change, Lecce, Italy
Guivarch, Celine
Kornek, Ulrike
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Global Commons & Climate Change MCC, D-10829 Berlin, Germany
Potsdam Inst Climate Impact Res PIK, Potsdam, Germany
Leibniz Assoc, Potsdam, Germany
Christian Albrechts Univ Kiel, Dept Econ, Kiel, GermanyCMCC Fdn, Euro Mediterranean Ctr Climate Change, Lecce, Italy
Kornek, Ulrike
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Kriegler, Elmar
Malerba, Daniele
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German Inst Dev & Sustainabil IDOS, Bonn, GermanyCMCC Fdn, Euro Mediterranean Ctr Climate Change, Lecce, Italy
Malerba, Daniele
Marangoni, Giacomo
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RFF CMCC European Inst Econ & Environm, Milan, Italy
Delft Univ Technol, Fac Technol Policy & Management, Delft, NetherlandsCMCC Fdn, Euro Mediterranean Ctr Climate Change, Lecce, Italy
Marangoni, Giacomo
Mejean, Aurelie
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Ctr Int Rech & Environm & Dev CIRED, Nogent Sur Marne, France
Ctr Natl Rech Sci CNRS, F-94736 Nogent Sur Marne, FranceCMCC Fdn, Euro Mediterranean Ctr Climate Change, Lecce, Italy
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Shanghai Inst Technol, Shanghai 201418, Peoples R China
Shanghai Climate Ctr, Shanghai 200030, Peoples R ChinaShanghai Inst Technol, Shanghai 201418, Peoples R China
Xu, Hanqing
Tian, Zhan
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Shanghai Inst Technol, Shanghai 201418, Peoples R China
Shanghai Climate Ctr, Shanghai 200030, Peoples R ChinaShanghai Inst Technol, Shanghai 201418, Peoples R China
Tian, Zhan
Zhong, Honglin
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Univ Maryland, College Pk, MD 20742 USAShanghai Inst Technol, Shanghai 201418, Peoples R China
Zhong, Honglin
Fan, Dongli
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Shanghai Inst Technol, Shanghai 201418, Peoples R ChinaShanghai Inst Technol, Shanghai 201418, Peoples R China
Fan, Dongli
Shi, Runhe
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Univ Maryland, College Pk, MD 20742 USAShanghai Inst Technol, Shanghai 201418, Peoples R China
Shi, Runhe
Niu, Yilong
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Shanghai Climate Ctr, Shanghai 200030, Peoples R China
East China Normal Univ, Shanghai 200241, Peoples R ChinaShanghai Inst Technol, Shanghai 201418, Peoples R China
Niu, Yilong
He, Xiaogang
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Princeton Univ, Princeton, NJ 08544 USAShanghai Inst Technol, Shanghai 201418, Peoples R China
He, Xiaogang
Chen, Maosi
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Colorado State Univ, Ft Collins, CO 80523 USAShanghai Inst Technol, Shanghai 201418, Peoples R China
Chen, Maosi
REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY XIV,
2017,
10405