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Climate zones determine where substantial increases of maize yields can be attained in Northeast China

Author

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  • Zhijuan Liu

    (China Agricultural University)

  • Xiaoguang Yang

    (China Agricultural University)

  • Xiaomao Lin

    (Kansas State University)

  • Prasanna Gowda

    (USDA-ARS Grazinglands Research Laboratory)

  • Shuo Lv

    (China Agricultural University)

  • Jing Wang

    (China Agricultural University
    Ningxia Institute of Meteorological Sciences)

Abstract

As the growth in global population has led to greater demands for food and energy, societies have been pressured to increase food production. Closing the gap between current and potential yields is one means of producing more food. In this study, we first identify the gaps between the potential yield and actual on-farm yield of maize for ten climate zones (CZs) in Northeast China (NEC) from 1961 to 2010. We then use trend analysis to assess yield gaps caused by suboptimal water availability (YGw). Finally, we identify the CZs where maize yields could be increased through improved irrigation management. Nonparametric trend analysis showed an estimated regional area-averaged yield gap of 64% between potential yield and actual on-farm yield; this gap decreased by 11.0% per decade over the study period (p

Suggested Citation

  • Zhijuan Liu & Xiaoguang Yang & Xiaomao Lin & Prasanna Gowda & Shuo Lv & Jing Wang, 2018. "Climate zones determine where substantial increases of maize yields can be attained in Northeast China," Climatic Change, Springer, vol. 149(3), pages 473-487, August.
    • Handle: RePEc:spr:climat:v:149:y:2018:i:3:d:10.1007_s10584-018-2243-x
    DOI: 10.1007/s10584-018-2243-x
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    References listed on IDEAS

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    1. Pingali, Prabhu & Pandey, Shivaji, 2001. "Meeting World Maize Needs: Technological Opportunities and Priorities for the Public Sector," Facts and Trends/Overview and Outlook 298009, CIMMYT: International Maize and Wheat Improvement Center.
    2. Aggarwal, P. K. & Hebbar, K. B. & Venugopalan, M. V. & Rani, S. & Bala, A. & Biswal, A. & Wani, S. P., 2008. "Quantification of yield gaps in rain-fed rice, wheat, cotton and mustard in India," IWMI Research Reports H041564, International Water Management Institute.
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    Cited by:

    1. Saggi, Mandeep Kaur & Jain, Sushma, 2020. "Application of fuzzy-genetic and regularization random forest (FG-RRF): Estimation of crop evapotranspiration (ETc) for maize and wheat crops," Agricultural Water Management, Elsevier, vol. 229(C).
    2. Shengli Liu & Wenbin Wu & Xiaoguang Yang & Peng Yang & Jing Sun, 2020. "Exploring drought dynamics and its impacts on maize yield in the Huang-Huai-Hai farming region of China," Climatic Change, Springer, vol. 163(1), pages 415-430, November.

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