Development of Realtime Prediction System of Developmental Stage of Rice

水稻发育阶段实时预测系统的研制

基本信息

批准号：
62860002
负责人：
HORIE Takeshi
金额：
$ 11.26万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research
财政年份：
1987
资助国家：
日本
起止时间：
1987 至 1989
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-62860002/
关键词：
Rice Development Phenology Model Prediction Simulation System Realtime 予測モデル発育動態幼穂分化出穂窒素

项目摘要

A model was developed for simulating rice crop developmental process, such as the onsets of ear initiation, spikelet formation, meiosis, heading and of maturation, in relation to daily temperature and day length conditions. In this model the crop developmental stage was quantified by a continuous value termed developmental index, DVI, of which value was defined to be zero at emergence, 1.0 at Panicle initiation, 2.0 at heading and 3.0 at maturation. Under this defining condition, DVI at any moment in time can be given by integrating developmental rate, DVR. We have proposed an equation to give DVR as a function of daily mean temperature and day length, and developed a computer program to estimate the parameters of DVR equation from data set on the crop phenology and the environments under field conditions.Twelve major rice cultivars were grown at 5 different Places which covered almost entire climatic regions in Japan for two years, and measurements were made of the crop phenology and environments. By use of the data thus obtained, the parameters of the DVR equation were determined for the 12 cultivars. The model together with these parameters explained the developmental stages of each cultivar from time course of the environments, within an error of 2 to 3 days.A realtime prediction system for developmental stage of rice was developed by connecting weather sensors to the computer system in which are built the model for predicting the phenological stage from the course of the environments and data base on past weather conditions for seven locations. A field trial with this system showed that the system predicts rice phenological stage very satisfactory to provide necessary information for the crop managements.

开发了一个模型，用于模拟水稻作物的发育过程，例如与日常温度和日长度条件有关的耳朵起始，尖峰形成，减数分裂，标题和成熟。在该模型中，作物发育阶段通过称为发育指数DVI的连续值DVI进行了量化，其值定义为出现时为零，圆锥花序开始时为1.0，标题为2.0，成熟时为3.0。在这种定义的条件下，可以通过整合发育速率DVR给出DVI。我们提出了一个方程式，以使DVR作为每日平均温度和日长的函数，并开发了计算机程序，以估算从作物物候学和现场条件下的数据集的数据集估算DVR方程的参数。在5个不同的地方生长，覆盖了日本几乎整个气候区域两年，并且测量了作物物候和环境。通过使用如此获得的数据，确定了12个品种DVR方程的参数。该模型与这些参数一起解释了环境时间过程中每个品种的发育阶段，在2至3天的误差之内。通过将天气传感器连接到计算机系统的实时预测系统，开发了用于大米的发展阶段构建了一个模型，用于从环境和数据基础上的七个位置的过去天气条件的过程中预测物候阶段。该系统的现场试验表明，该系统可以预测水稻物质阶段非常令人满意，以为作物管理提供必要的信息。