International Journal of Atmospheric and Oceanic Sciences

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Maize (Zea Mays L.) Productivity in Moist Mid-Highlands of Ethiopia Under Projected Climate Change: A Case Study of Ambo District

Received: 22 December 2016    Accepted: 18 January 2017    Published: 27 February 2017
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Abstract

Decision Support System for Agrotechnology Transfer (DSSAT) was calibrated and evaluated to simulate maize (zea mays L.) var. BH660 under current and future climate in Ethiopia under moist mid-highlands of Ethiopia around Ambo Zuria district. Simulations for both current and future periods were run assuming present technology, current varieties and current agronomy packages to investigate rain-fed Maize yield responses. Simulations was made using downscaled weather data from five General Circulation Models (GCMs) under the Coupled Model Inter-comparison Project phase 5 (CMIP5) and two Representative Concentration Pathway (RCP 4.5 and 8.5) by mid-century show a mixture of increase and decrease in median Maize yields. Five GCMs project yields to increase by 5% - 23.0% and one GCM show a decrease by 2% - 9%. Model simulations under the remaining three GCMs give contrasting results of increase and decrease.

DOI 10.11648/j.ijaos.20170101.13
Published in International Journal of Atmospheric and Oceanic Sciences (Volume 1, Issue 1, December 2017)
Page(s) 14-20
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

BH660, Climate Change, DSSAT, Ethiopia, Maize and RCPs

References
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  • APA Style

    Fikadu Getachew, Mezgebu Getnet, Robel Takele, Eshetu Zewdu. (2017). Maize (Zea Mays L.) Productivity in Moist Mid-Highlands of Ethiopia Under Projected Climate Change: A Case Study of Ambo District. International Journal of Atmospheric and Oceanic Sciences, 1(1), 14-20. https://doi.org/10.11648/j.ijaos.20170101.13

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    ACS Style

    Fikadu Getachew; Mezgebu Getnet; Robel Takele; Eshetu Zewdu. Maize (Zea Mays L.) Productivity in Moist Mid-Highlands of Ethiopia Under Projected Climate Change: A Case Study of Ambo District. Int. J. Atmos. Oceanic Sci. 2017, 1(1), 14-20. doi: 10.11648/j.ijaos.20170101.13

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    AMA Style

    Fikadu Getachew, Mezgebu Getnet, Robel Takele, Eshetu Zewdu. Maize (Zea Mays L.) Productivity in Moist Mid-Highlands of Ethiopia Under Projected Climate Change: A Case Study of Ambo District. Int J Atmos Oceanic Sci. 2017;1(1):14-20. doi: 10.11648/j.ijaos.20170101.13

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  • @article{10.11648/j.ijaos.20170101.13,
      author = {Fikadu Getachew and Mezgebu Getnet and Robel Takele and Eshetu Zewdu},
      title = {Maize (Zea Mays L.) Productivity in Moist Mid-Highlands of Ethiopia Under Projected Climate Change: A Case Study of Ambo District},
      journal = {International Journal of Atmospheric and Oceanic Sciences},
      volume = {1},
      number = {1},
      pages = {14-20},
      doi = {10.11648/j.ijaos.20170101.13},
      url = {https://doi.org/10.11648/j.ijaos.20170101.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaos.20170101.13},
      abstract = {Decision Support System for Agrotechnology Transfer (DSSAT) was calibrated and evaluated to simulate maize (zea mays L.) var. BH660 under current and future climate in Ethiopia under moist mid-highlands of Ethiopia around Ambo Zuria district. Simulations for both current and future periods were run assuming present technology, current varieties and current agronomy packages to investigate rain-fed Maize yield responses. Simulations was made using downscaled weather data from five General Circulation Models (GCMs) under the Coupled Model Inter-comparison Project phase 5 (CMIP5) and two Representative Concentration Pathway (RCP 4.5 and 8.5) by mid-century show a mixture of increase and decrease in median Maize yields. Five GCMs project yields to increase by 5% - 23.0% and one GCM show a decrease by 2% - 9%. Model simulations under the remaining three GCMs give contrasting results of increase and decrease.},
     year = {2017}
    }
    

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    T1  - Maize (Zea Mays L.) Productivity in Moist Mid-Highlands of Ethiopia Under Projected Climate Change: A Case Study of Ambo District
    AU  - Fikadu Getachew
    AU  - Mezgebu Getnet
    AU  - Robel Takele
    AU  - Eshetu Zewdu
    Y1  - 2017/02/27
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ijaos.20170101.13
    DO  - 10.11648/j.ijaos.20170101.13
    T2  - International Journal of Atmospheric and Oceanic Sciences
    JF  - International Journal of Atmospheric and Oceanic Sciences
    JO  - International Journal of Atmospheric and Oceanic Sciences
    SP  - 14
    EP  - 20
    PB  - Science Publishing Group
    SN  - 2640-1150
    UR  - https://doi.org/10.11648/j.ijaos.20170101.13
    AB  - Decision Support System for Agrotechnology Transfer (DSSAT) was calibrated and evaluated to simulate maize (zea mays L.) var. BH660 under current and future climate in Ethiopia under moist mid-highlands of Ethiopia around Ambo Zuria district. Simulations for both current and future periods were run assuming present technology, current varieties and current agronomy packages to investigate rain-fed Maize yield responses. Simulations was made using downscaled weather data from five General Circulation Models (GCMs) under the Coupled Model Inter-comparison Project phase 5 (CMIP5) and two Representative Concentration Pathway (RCP 4.5 and 8.5) by mid-century show a mixture of increase and decrease in median Maize yields. Five GCMs project yields to increase by 5% - 23.0% and one GCM show a decrease by 2% - 9%. Model simulations under the remaining three GCMs give contrasting results of increase and decrease.
    VL  - 1
    IS  - 1
    ER  - 

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Author Information
  • Climate and Geospatial Research Directorate, Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia

  • Climate and Geospatial Research Directorate, Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia

  • Climate and Geospatial Research Directorate, Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia

  • Climate and Geospatial Research Directorate, Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia

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