文章摘要
粮食产量预测理论、方法与应用Ⅰ.科技进步增产理论、模型及其应用
The Theory, Method and Its Application of the Grain Yield Forecast 1. The Theory, Model and Its Application of Scientific and Technological Progress in Increasing Grain Yield
投稿时间:2014-03-20  
DOI:10.13254/j.jare.2014.0058
中文关键词: 粮食预测  科技进步  增产  理论  模型  应用
英文关键词: grain forecasting  scientific and technological progress  increasing production  theory  model  application
基金项目:中国农业科学院科技创新工程(2014-cxgc-hyl)
作者单位
侯彦林 农业部环境保护科研监测所, 天津 300191 
郑宏艳 农业部环境保护科研监测所, 天津 300191 
刘书田 农业部环境保护科研监测所, 天津 300191 
米长虹 农业部环境保护科研监测所, 天津 300191 
王农 农业部环境保护科研监测所, 天津 300191 
蔡彦明 农业部环境保护科研监测所, 天津 300191 
黄治平 农业部环境保护科研监测所, 天津 300191 
夏维 农业部环境保护科研监测所, 天津 300191 
王铄今 北京农业信息技术研究中心,北京 100089 
任军 吉林省农业科学院, 吉林 长春 130033 
王新民 河南牧业经济学院, 河南 郑州 450011 
侯显达 北京优雅施软件研发服务中心, 北京 100089 
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中文摘要:
      粮食增产趋势及增产原因是国家制定宏观农业政策和措施的依据。科技进步增产理论是指:气候是波动的,科技是持续进步的,它是粮食多年持续增产的主要驱动力;科技进步增产预测模型是多年平均单产移动的回归方程。全国和东北三省粮食增产潜力案例分析结果表明:科技进步单产加速时间最早的是辽宁省,最晚的是黑龙江省;与全国相比,吉林省和辽宁省科技进步贡献率高于全国平均水平,黑龙江省低于全国平均水平,吉林省最高。本文初步得出以下结论:科技进步增产理论科学、模型实用、预测结果准确。
英文摘要:
      The increasing trend and its causes of grain yield are the basis for a nation to formulate the macroscopic agriculture policies and measures. Increasing Production Theory of Scientific and Technological Progress(IPTSTP)is defined as follows: climate is undulating, while the technological progress is sustainable and it is the main driving force of sustainable increasing production for many years. Increasing Production Forecasting Model of Scientific and Technological Progress(IPFMSTP)is a regression equation for the moving average data of the per unit area yield. The IPTSTP and its methods were applied to analyze the grain yield potential in China and northeast China, respectively. The results showed that Liaoning Province was the earliest one which accelerated per unit area yield by scientific and technological progress, and the latest one was Heilongjiang Province. Compared with other provinces at present, the contribution rate of the scientific and technologi-cal progress in Heilongjiang province was lower than the average level in China, while the contribution rate in Liaoning Prorince and Jilin Province were higher than the national average level. The contribution rate of the scientific and technological progress in Jilin Province was the highest.
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