Korean Journal of Agricultural and Forest Meteorology (한국농림기상학회지)

Korean Society of Agricultural and Forest Meteorology (한국농림기상학회)
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History and Future Direction for the Development of Rice Growth Models in Korea

벼 작물생육모형 국내 도입 활용과 앞으로의 연구 방향

  • Kim, Junhwan (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Sang, Wangyu (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Shin, Pyeong (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Baek, Jaekyeong (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Cho, Chongil (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Seo, Myungchul (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
  • 김준환 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 상완규 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 신평 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 백재경 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 조정일 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 서명철 (농촌진흥청 국립식량과학원 작물재배생리과)
  • Received : 2019.09.16
  • Accepted : 2019.09.27
  • Published : 2019.09.30
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Abstract

A process-oriented crop growth model can simulate the biophysical process of rice under diverse environmental and management conditions, which would make it more versatile than an empirical crop model. In the present study, we examined chronology and background of the development of the rice growth models in Korea, which would provide insights on the needs for improvement of the models. The rice crop growth models were introduced in Korea in the late 80s. Until 2000s, these crop models have been used to simulate the yield in a specific area in Korea. Since then, improvement of crop growth models has been made to take into account biological characteristics of rice growth and development in more detail. Still, the use of the crop growth models has been limited to the assessment of climate change impact on crop production. Efforts have been made to apply the crop growth model, e.g., the CERES-Rice model, to develop decision support system for crop management at a farm level. However, the decision support system based on a crop growth model was attractive to a small number of stakeholders most likely due to scarcity of on-site weather data and reliable parameter sets for cultivars grown in Korea. The wide use of the crop growth models would be facilitated by approaches to extend spatial availability of reliable weather data, which could be either measured on-site or estimates using spatial interpolation. New approaches for calibration of cultivar parameters for new cultivars would also help lower hurdles to crop growth models.

작물 생육모형은 기존의 경험적 작물모형과는 달리 벼의 생장과정을 모의 할 수 있는 장점이 있다. 이러한 작물생육 모형들은 80년대 후반부터 적극적으로 국내도입이 이루어 졌다. 유럽에서 개발된 MACROS로 부터 시작하여 이후 Oryza1 및 Oryza2000 모형과 북미에서 개발된 DSSAT 계열의 모형인 CERES-RICE 모형을 도입하게 되었다. 각각의 모형들은 최초에는 단순히 품종수 적합 후 특정지역에의 수량을 모의하는데 활용되었으나 2000년대에 이르러서는 국내에 적합한 작물모형으로 발전시킬 수 있는 단계에 이르게 되었다. 그러나, 작물생육모형을 기후변화 영향평가를 위한 용도로 주로 사용하였고 실용적인 수준에서의 활용은 미미하였다. 일부 농가 적용을 위한 시도가 있었으나 널리 활용되지는 못하였다. 이러한 활용상의 문제점은 기상자료의 공간해상도가 문제가 가장 크며, 그 다음으로는 각 지역별이 품종에 대한 품종모수 자료가 부족하기 때문이다. 이러한 활용상의 문제점을 극복하기 위해서는 기상관측의 공간해상력을 높이기 위한 관측소의 확대 또는 공간 내삽법이 필요할 것으로 생각된다. 또한 신품종이 일정 재배면적 이상 확대될 경우 이에 대해 품종모수를 적합할 제도적 기술적 방법이 필요하다. 작물모형의 활용 확대를 위해서는 기상 또는 토양 분야와도 연결이 필요하다. 이를 위해서는 군락의 증산 속도와 토양모형에 정보가 필요하며 이는 군락 광합성 관련 부분과 토양 특성에 대해서 새로운 접근이 필요함을 의미한다.

Keywords

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