中国农业气象 ›› 2012, Vol. 33 ›› Issue (01): 109-113.doi: 10.3969/j.issn.1000-6362.2012.01.017

• 论文 • 上一篇    下一篇

基于农户数据的河南中东部地区气象因子对冬小麦产量的影响分析

范磊,胡海燕,王来刚,孟俊杰,卓文飞   

  1. 1河南省农业科学院经济作物研究所,郑州 450002;
    2河南省农业科学院农业经济与信息研究中心,郑州 450002
  • 收稿日期:2011-06-09 出版日期:2012-02-20 发布日期:2012-02-09
  • 作者简介:范磊(1981-),安徽亳州人,硕士,助理研究员,主要从事农业遥感应用研究。Email:fanlei@hnagri.org.cn
  • 基金资助:

    农业部智能化农业预警技术重点开放实验室2010年开放课题(2010-DAEW-04)

Impact of Meteorological Factors on Winter Wheat Yield in Middle and East Henan Province Based on Household Data

 FAN  Lei, HU  Hai-Yan, WANG  Lai-Gang, MENG  Jun-Jie, ZHUO  Wen-Fei   

  1. 1Economy Crop Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou 450002,China;2Agricultural Economy & Information Research Center, Henan Academy of Agricultural Sciences, Zhengzhou 450002
  • Received:2011-06-09 Online:2012-02-20 Published:2012-02-09

摘要: 以河南中东部3个村庄为研究区,通过入户调查的方法,得到2003-2009年农户冬小麦实际产量数据,利用直线滑动平均法去除农户冬小麦趋势产量,从中提取出气象产量,并与相邻气象站点的数据进行相关分析,找出与产量相关度较高的气象因子。结果表明,研究区内影响冬小麦产量的关键气象因子为播种-越冬前降水量、灌浆-乳熟期日照时数、灌浆期平均气温,这些因子在冬小麦生长中分别以苗期旱灾,灌浆-乳熟期阴雨寡照和灌浆期高温的形式影响产量。研究结果可为冬小麦生产提供技术支持。

关键词: 农户调查, 河南, 冬小麦产量, 气象灾害因子

Abstract: The actual winter wheat yield data during 2003-2009 were investigated inhome based on household in three villages, and the method of linear sliding average was used to remove trend yield of winter wheat, then the climatic yield was calculated. The correlation between climatic yield and meteorological data adjacent to three villages was analyzed. The results showed that precipitation of seedingbefore winter, sunshine hours of fillingmilk stage, and average temperature of filling stage were key meteorological factors to influence winter wheat yield, which appeared as drought disaster during seedling stage, cloudy drizzly conditions during fillingmilk stage and high temperature during filling stage. The results could provide technical support for winter wheat production. 

Key words: Household investigation, Henan province, Winter wheat yield, Meteorological disaster factor