1996 Fiscal Year Final Research Report Summary
Development of Wide-Scale Monitor and Prediction Systems for Rice Growth and Yield
Project/Area Number |
06556003
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Research Category |
Grant-in-Aid for Scientific Research (A)
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Allocation Type | Single-year Grants |
Section | 試験 |
Research Field |
作物学
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Research Institution | KYOTO UNIVERSITY |
Principal Investigator |
HORIE Takeshi Kyoto University, Faculty of Agriculture, Professor, 農学部, 教授 (90181528)
|
Co-Investigator(Kenkyū-buntansha) |
INOUE Yoshio National Institute of Agro-Environmental Sciences, Department of Environment Man, 環境資源部, 研究室長
SEINO Hiroshi National Institute of Agro-Environmental Sciences, Department of Environment Res, 環境管理部, 科長
NAKAGAWA Hiroshi Kyoto University, Faculty of Agriculture, Instructor, 農学部, 助手 (90207738)
OHNISHI Hiroshi Kyoto University, Faculty of Agriculture, Instructor, 農学部, 助手 (80185339)
INAMURA Tatsuya Kyoto University, Faculty of Agriculture, Lecturer, 農学部, 講師 (00263129)
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Project Period (FY) |
1994 – 1996
|
Keywords | Rice / Growth prediction / Model / Monitor / Remote sensing / Mesh weather information / Wide scale prediction / Temperature stress |
Research Abstract |
1.Synthesis of Dynamic Model for Predicting Rice Growth and Development A dynamic simulation model was developed for predicting rice development stage, dry matter production and leaf area based on daily air temperature and solar radiation, and plant nitrogent (N) content. The model satisfactorily explained growth and development of rice grown under widely different conditions in environments and N managements. Also, a model has been synthesized for specifically predicting spikelet fertility in relation to high and cool temperature stress during the reproductive stage. 2.Development of Wide-Scale Prediction System for Rice Development By combining rice growth simulation model with mesh weather information system, we developed a wide-scale prediction system for phenological development of rice. Application of this system for regional rice development in Hyogo and Fukui prefectures showed that this system reasonably explains important phenological stages of rice, such as dates of heading and meturity, in each mesh of 1km by 1km size in the region. 3.Development of Rice Growth Monitoring System by Combining Remote Sensing and Growth Model We found that solar radiation interception rate of rice canopy can be estimated with a high accuracy based on remote sensing of 550 and 850 nm refrected radiation from rice canopy. By incorporating the solar radiation interception rate into rice growth simulation model, we developed a system for dynamic monitor and prediction of rice growth. This system gave a reasonable estimate of biomass production of rice observed under widely different environment conditions.
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Research Products
(28 results)