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中国农学通报 ›› 2010, Vol. 26 ›› Issue (23): 370-374.

• 农业科技信息 • 上一篇    下一篇

四川省粮食单产时空变化及其动因分析

赵永敢 李玉义 逄焕成 王龙昌 任天志   

  • 收稿日期:2010-06-22 修回日期:2010-07-30 出版日期:2010-12-05 发布日期:2010-12-05
  • 基金资助:

    国家自然科学基金项目;2008年公益性行业(农业)科研专项;国家“十一五”科技支撑项目

Temporal Spatial Variation of per Unit Area Grain Yield and Its Causes in Sichuan Province

  • Received:2010-06-22 Revised:2010-07-30 Online:2010-12-05 Published:2010-12-05

摘要:

为了揭示四川省粮食单产时空变化特征和影响粮食单产变化的主要原因。基于1988—2008年四川省21个市州区统计数据,运用统计分析和灰色关联分析方法,分析该省粮食单产时空变化特征及其动因。研究结果表明:(1)四川省多年平均粮食单产高于全国平均水平,各市州区粮食单产总体呈增长趋势。(2)各市州区粮食单产水平差异显著,最高的是德阳市,最低的是甘孜州,前者为后者的2.5倍,市州区间单产水平差距逐渐减小。(3)粮食单产水平显著上升的市州区个数占总数的一半以上,除资阳市粮食单产略有减少外,其他市州区稳中略有增加。(4)化肥用量、农业生产资料价格指数和粮食收购价格指数是影响粮食单产时空变化的主要动因。笔者提出增加农业生产物质投入,完善农业基础设施和改良中低产田是挖掘粮食单产,提高粮食产量和增强粮食安全保障的重要途径。

关键词: 大麦, 大麦, 航天诱变, 耐盐性

Abstract:

In order to reveal the temporal spatial variation of per unit area grain yield and its causes in Sichuan province. Based on the statistical date of 21 cities (states, districts) in Sichuan province, temporal spatial variation of per unit area grain yield and its causes from 1988 to 2008 were discussed by using statistical analysis and gray correlation analysis. The results indicated that: (1) The average of per unit area grain yield in Sichuan province was higher than the national average, and the per unit area grain yield in cities showed increasing trend by and large. (2) The regional differences were very obvious in variation of per unit area grain yield among the cities. The highest was Deyang, and the lowest was Ganzi, the former was 2.5 times as the latter. However, the gap among the cities was gradually reduced. (3) The per unit area grain yield of more than half of cities increased significantly and except Ziyang, the per unit area grain yield in other cities rose slightly. (4) Gray correlation analysis showed that: the most important factors affecting variation of per unit area grain yield were total consumption of fertilizer, the agricultural production prices. It was an important method to improve per unit area grain yield, exploit potentials by increasing the material input of agricultural production, perfecting the agricultural infrastructure and improving low-yield fields for the regional food security.