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Development of Wide-Scale Monitor and Prediction Systems for Rice Growth and Yield

水稻生长和产量的大规模监测和预测系统的开发

基本信息

批准号：
06556003
负责人：
HORIE Takeshi
金额：
$ 9.92万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1996
项目状态：
已结题

项目摘要

1.Synthesis of Dynamic Model for Predicting Rice Growth and DevelopmentA 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 DevelopmentBy 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 ModelWe 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.

1.水稻生长发育动态预测模型的建立建立了基于日气温、太阳辐射和植株氮素含量预测水稻生育期、干物质生产和叶面积的动态模拟模型。该模型较好地解释了水稻在不同环境和氮肥管理条件下的生长发育规律。2.水稻生长发育大尺度预报系统的开发将水稻生长模拟模型与网格气象信息系统相结合，开发了水稻物候发育大尺度预报系统。该系统在兵库县和福井县的区域水稻发展中的应用表明，该系统合理地解释了水稻抽穗期和结实期等重要物候期，在区域内每一公里×1公里的网格中。3.结合遥感和生长模型开发水稻生长监测系统我们发现，基于550 nm和850 nm的水稻冠层反射辐射遥感可以高精度地估计水稻冠层的太阳辐射截获速率。将太阳辐射截获速率纳入水稻生长模拟模型，开发了水稻生长动态监测预报系统。该系统给出了在不同环境条件下观测到的水稻生物量的合理估计。