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Simulating potential yields of Chinese super hybrid rice in Bangladesh, India and Myanmar with EPIC model

         

摘要

In this study, information is collected on the weather, soils, field management and agricultural statistics in the Bangladesh, India and Myanmar (BIM) region. Crop growth parameters within the EPIC (Environmental Policy Integrated Climate) model are calibrated using cultivar data and regional experimental records of indica hybrid rice Fyou498 and Fengliangyou4 in China. Potential yields of rice are then simulated in the BIM region from 1996 to 2005. The effects of local irrigation and fertilization levels on super hybrid rice yield are examined. The potential yields of Chinese hybrid rice at local irrigation and fertilization levels in 2000 and at full irrigation and rational fertilization levels are found to be 10.22 t/ha and 11.33 t/ha, respectively. The potential for increasing monsoon rice production in the study region is 227.71 million tons. The eastern Indo-Gangetic Plain in India, the southeast coast of India Peninsula and the Ayeyarwady Delta in Myanmar have the largest potentials for monsoon rice production. The northeastern and southwestern areas of the Deccan Plateau and the northwestern region of the Indo-Gangetic Plain need to improve irrigation equipment to meet the water-use requirements of high-yield rice. The central and southern plains in Myanmar and northeastern India need greater access to nitrogen fertilization for high-yield rice.

著录项

  • 来源
    《地理学报(英文版)》 |2018年第7期|1020-1036|共17页
  • 作者单位

    Key Lab of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Lab of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Lab of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Lab of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;

    Centre for Sustainable Technologies, India Institute of Science, Bangalore 560012, India;

    Bangladesh Centre for Advanced Studies, Dhaka 1212, Bangladesh;

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  • 正文语种 eng
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