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Adaptation of maize to climate change impacts in Iran

  • Rooholla MoradiEmail author
  • Alireza Koocheki
  • Mehdi Nassiri Mahallati
Original Article

Abstract

Adaptation is a key factor for reducing the future vulnerability of climate change impacts on crop production. The objectives of this study were to simulate the climate change effects on growth and grain yield of maize (Zea mays L.) and to evaluate the possibilities of employing various cultivar of maize in three classes (long, medium and short maturity) as an adaptation option for mitigating the climate change impacts on maize production in Khorasan Razavi province of Iran. For this purpose, we employed two types of General Circulation Models (GCMs) and three scenarios (A1B, A2 and B1). Daily climatic parameters as one stochastic growing season for each projection period were generated by Long Ashton Research Station-Weather Generator (LARS−WG). Also, crop growth under projected climate conditions was simulated based on the Cropping System Model (CSM)-CERES-Maize. LARS-WG had appropriate prediction for climatic parameters. The predicted results showed that the day to anthesis (DTA) and anthesis period (AP) of various cultivars of maize were shortened in response to climate change impacts in all scenarios and GCMs models; ranging between 0.5 % to 17.5 % for DTA and 5 % to 33 % for AP. The simulated grain yields of different cultivars was gradually decreased across all the scenarios by 6.4 % to 42.15 % during the future 100 years compared to the present climate conditions. The short and medium season cultivars were faced with the lowest and highest reduction of the traits, respectively. It means that for the short maturing cultivars, the impacts of high temperature stress could be much less compared with medium and long maturity cultivars. Based on our findings, it can be concluded that cultivation of early maturing cultivars of maize can be considered as the effective approach to mitigate the adverse effects of climate.

Keywords

Mitigation DSSAT GCM HadCM3 IPCM4 

Notes

Acknowledgements

The authors acknowledge the financial support of the project by Ferdowsi University of Mashhad, Iran.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Rooholla Moradi
    • 1
    Email author
  • Alireza Koocheki
    • 1
  • Mehdi Nassiri Mahallati
    • 1
  1. 1.Department of Agronomy, Faculty of AgricultureFerdowsi University of MashhadMashhadIran

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