中国农业气象

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北疆棉花典型丰歉年的气象条件对比分析

程相儒;张光华;李彦斌;毛炜峄;   

  1. 新疆兵团农六师五家渠市气象局;新疆兵团农六师;新疆气候中心;
  • 出版日期:2010-02-10 发布日期:2010-02-10
  • 基金资助:
    “十一五”国家科技支撑计划课题“现代农村信息化关键技术研究与示范”第15专题(2006BAD10A15);; 新疆生产建设兵团农六师科学研究与技术开发计划项目(0803)

Contrastive Analysis on Meteorological Conditions between Abundant Year and Lean Year for Cotton Production in Northern Xinjiang

CHENG Xiang-ru1,ZHANG Guang-hua2,LI Yan-bin1,MAO Wei-yi3(1.Meteorological Bureau of Wujiaqu City,Wujiaqu 831300,China;2.The Sixth Agricultural Division of Xinjiang Production and Construction Corps,Wujiaqu 831300;3.Xinjiang Climate Center,Urumqi 830002)   

  • Online:2010-02-10 Published:2010-02-10

摘要: 以北疆典型植棉区农六师为例,通过对农六师1981-2007年气温、积温、无霜期以及各生育时期温度、降水、日照等气象资料进行整理汇总,并结合农六师阶段棉花单产,选取两个连续的丰歉年份为代表,进行气象条件的比较分析。初步得出北疆棉区丰歉年的主要气象条件评价指标,其中,丰产年为全年≥10℃积温大于3600℃.d,7月份平均气温高于25℃,无霜期大于170d,歉产年全年≥10℃积温小于3300℃.d,7月份平均气温低于24℃,无霜期小于160d;造成丰歉年产量差异的主要原因是中后期热量不足,及受夏秋季低温等不利气候条件的影响。研究结果可为棉花的栽培管理、气候评价和种植结构调整提供理论依据。

关键词: 棉花, 丰歉年, 关键气象指标, 平均温度和降水量, 活动积温

Abstract: Taking the sixth agricultural division as an example,meteorological conditions between abundant year and lean year for cotton production were analyzed by using the meteorological data from 1981 to 2007,including temperature,accumulated temperature,frost-free period,precipitation and sunshine.The evaluating indexes of meteorological conditions between abundant year and lean year for cotton production were given out.The indexes in abundant year were≥10℃ accumulated temperature of the total year was more than 3600℃,the average temperature in July was higher than 25℃,frost-free period was more than 170 days.The index in lean year were≥10℃ accumulated temperature of the total year was less than 3300℃,the average temperature in July was lower than 24℃,frost-free period was less than 160 days.The main reasons to cotton yields differences between abundant year and lean year were lack of heat resources in the mid-later stage and low-temperature in summer and autumn.The results could provide a reference to cotton cultivation,management and climate assessment.

Key words: Cotton, Cotton, Abundant year and lean year, Key meteorological index, Average temperature and precipitation, Active accumulated temperature