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基于生理发育时间的水稻发育期预测方法
引用本文:张明达,胡雪琼,朱 涯,张加云,何雨芩,徐梦莹,朱 勇.基于生理发育时间的水稻发育期预测方法[J].中国农学通报,2017,33(29):25-30.
作者姓名:张明达  胡雪琼  朱 涯  张加云  何雨芩  徐梦莹  朱 勇
基金项目:西南区域项目“川滇高原山地水稻盛夏低温冷害及其对策研究”(2013-2);云南省气象局预报员技术开发专项项目“云南省大宗粮食作物动态产量预报技术研究”(YB201205)。
摘    要:水稻发育期模型研究是开展现代农业气象服务工作的基础。基于作物生理发育时间守恒原理,综合考虑温度和日长因子对水稻发育期的影响,利用云南省12个农气观测站2011—2014年水稻发育期观测和地面气象观测资料,分别构建并验证了适用于籼稻种植区和粳稻种植区的发育期预报模型。结果表明,2套模型在全发育期和各发育阶段的预报值与观测值模拟效果总体较好,平均全发育期RMSE值为7.47,RE值为7.99%,粳稻模型和籼稻模型的RE值分别为6.49%和9.5%,粳稻区模拟效果优于籼稻区。模型生物学意义明确、参数通用性强,适用于农业气象业务服务中水稻发育期预测,具有推广应用价值。

关 键 词:水稻  发育期模型  生理发育时间  农业气象服务
收稿时间:2016/8/31 0:00:00
修稿时间:2017/9/25 0:00:00

Forecasting Method of Rice Phenology Stage Based on Physiological Development Period
Abstract:Rice phenological models are the bases of modern agro-meteorological service. Based on the conservation principle of crop physiological development stage, with the consideration of influences of climatic variables (i.e. temperature, sunshine hours and so on) on rice phenological stage, we built and verified the phenological forecasting model which were suitable for hsien rice and japonica rice planting region, using the observational data during rice phenology stage and ground meteorological data (2011-2014) from 12 agro-meteorological stations of Yunnan. The results showed that: both of prediction and observation value hsien and japonica phonological prediction models had good performances with 7.47 in averaged root-mean-square error (RMSE) and 7.99% in relative error (RE); the relative error (RE) was higher in hsien phonological prediction model (9.5%) than in japonica phonological prediction model (6.49%), implying the better performance of model prediction for japonica. Therefore, the biologically based and universally applied crop phonological process model is applicable for agrometeorological service.
Keywords:rice  development stage model  plant physiological development period  agriculture meteorological service
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