中国农业气象

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重庆市中稻气候适应性分析

唐云辉;陈艳英;梅勇;高阳华;   

  1. 重庆市气象科学研究所;
  • 出版日期:2009-06-10 发布日期:2009-06-10
  • 基金资助:
    重庆市自然科学基金项目(CSTC,2008BB1379);; 科技部“西部开发科技行动”项目(2005BA901A01);; 国家“十一五”科技支撑计划课题(2007BAC03A06);; 科技部农业科技成果转化项目(2007GB24160446);; 中国气象局新技术推广项目(CMATG2009MS21)

Analysis of Middle Rice Climate Suitability in Chongqing

TANG Yun-hui,CHEN Yan-ying,MEI Yong,GAO Yang-hua(Chongqing Institute of Meteorological Sciences,Chongqing 401147,China)   

  • Online:2009-06-10 Published:2009-06-10

摘要: 运用多要素回归积分方法的差分形式,综合分析了重庆市中稻对生育期间温度、降水、日照的适应情况,并进一步提出了产量影响指数,用于衡量中稻生育期各气候因子对最终产量影响的权重。结果显示,对重庆中稻产量影响最大的是3月中旬的倒春寒天气(容易造成中稻出苗困难、基本苗不足)和6月下旬的阴雨天气(影响中稻开花授粉),平均可以造成190kg/hm2的产量波动;其次为伏旱期间7月下旬-8月上旬的降水,此期中稻正处于灌浆中后期,旬产量影响指数达到160~170kg/hm2;6月中旬、7月上旬的降水,7月上、中旬的温度,旬产量影响指数也能达到130~150kg/hm2。

关键词: 多要素, 回归积分, 中稻, 气候适应性, 重庆

Abstract: By using the difference forms of the multifactor integral regression model,the temperature,precipitation and sunshine hours in the middle rice growing period were comprehensively analyzed. The yield integrated impact index and the weight of multi-meteorological factors were proposed. The results indicated that the cold weather in the late spring in the second ten days of March and cloudy and rainy weather in the third ten days of July were the most important factors affecting the yields. In the late spring,the cold weather led to poor seeding emergence of seedlings and the reduction of basic seedlings per hill,while the rainy weather in June had an adverse impact on flowering and pollination of middle rice. The yield fluctuation during late spring and June was about 190kg/ha. Ten-days yield integrated impact index of precipitation of during the period of summer drought from late July to early August reached at 160-170kg/ha,when middle rice was in the mid-later period of grain filling. Ten-days yield integrated impact index of precipitation in the second ten days of June and first ten days of July,temperature in the first and second ten days of July was about 130-150kg/ha.

Key words: Multifactor, Multifactor, Regression integral model, Middle rice, Climate Suitability, Chongqing