中国农业气象 ›› 2026, Vol. 47 ›› Issue (9): 1473-1484.doi: 10.3969/j.issn.1000-6362.2026.09.009

• 农业生物气象栏目 • 上一篇    下一篇

新疆棉花苗期和花铃期低温灾害特征及对棉花产量的影响

王雨菡,李存东,李鹏程,张正贵,潘占磊,李鑫,李军宏,孙桂兰, 翟梦华,赵文琪,张要朋,王坤锋,王立志,王剑,王占彪   

  1. 1. 中国农业科学院棉花研究所/棉花生物育种与综合利用全国重点实验室,安阳 455000,中国;2. 中国农业科学院西部农业研究中心新疆作物基因编辑与种质创新重点实验室,昌吉 831100,中国;3. 棉花生物育种与综合利用全国重点实验室河北基地/河北农业大学农学院,保定 071001,中国;4. 塔什干国立农业大学,塔什干市 100140,乌兹别克斯坦;5. 棉花生物育种与综合利用全国重点实验室郑州基地/郑州大学农学院,郑州 450001,中国
  • 收稿日期:2025-06-14 出版日期:2026-09-20 发布日期:2026-09-18
  • 作者简介:王雨菡,E-mail:wangyuhan20000316@163.com
  • 基金资助:
    “天山人才”培养计划项目(2023TSYCCX0020);庭州科技创新团队项目(2023CT09);乌昌石国家自主创新示范区科技发展计划项目(2023LQJ03)

Cotton Yield in Response to Low Temperature Cold Damage during Seedling and Boll Stages in Xinjiang

WANG Yu-han, LI Cun-dong, LI Peng-cheng, ZHANG Zheng-gui, PAN Zhan-lei, LI Xin, LI Jun-hong, SUN Gui-lan, ZHAI Meng-hua, ZHAO Wen-qi, ZHANG Yao-peng, WANG Kun-feng, WANG Li-zhi, WANG Jian, WANG Zhan-biao   

  1. 1. State Key Laboratory of Cotton Bio-breeding and Integrated Utilization/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; 2. Xinjiang Key Laboratory for Crop Gene Editing and Germplasm Innovation, Institute of Western Agricultural of CAAS, Changji 831100, China; 3. Hebei Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization/College of Agronomy, Hebei Agricultural University, Baoding 071001, China; 4. Tashkent State Agrarian University, Tashkent 100140, Uzbekistan; 5. Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization/School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China
  • Received:2025-06-14 Online:2026-09-20 Published:2026-09-18

摘要:

基于新疆棉区1990−2019年逐日气温数据和各县(市、区)棉花产量数据,采用Mann−Kendall趋势检验和Sen’s slope方法,分析棉花产量与苗期低温灾害、花铃期低温灾害的时空变化特征,利用Copula函数评估低温冷害对棉花产量的影响,以期揭示其历史演变规律,以及低温灾害对棉花产量损失的影响,助力棉农规避棉花生产风险。结果表明:1990−2019年新疆86.3%的地区棉花产量呈极显著增加趋势(P<0.01),平均每年增产30.22kg·hm−2。新疆棉花产量高值区域主要集中在天山附近,稳定性自西向东逐渐增加。1990−2019年新疆棉花种植区低温灾害情况发生显著变化,27.4%的棉花种植县(市、区)苗期低温灾害(LST)累计日数极显著减少;37.0%的棉花种植县(市、区)花铃期低温灾害(LTB)累计日数呈极显著下降趋势(P<0.01)。随着LST累计日数增加,南疆和北疆棉花气象产量发生减产的概率分别提高19.1个和19.0个百分点。随着LTB累计日数增加,南疆和北疆棉花气象产量发生减产的概率分别提高18.6个和20.5个百分点。综上所述,1990−2019年新疆棉花产量显著上升,低温灾害频率总体下降,低温灾害持续时间增加,棉花减产风险增加,且北疆受影响程度高于南疆。

关键词: 气候变化, 苗期低温, 花铃期低温, 气象产量, 风险分析, 新疆

Abstract:

Based on daily temperature data from 1990 to 2019 in the Xinjiang cotton region and cotton yield data for each county (city, district), the Mann−Kendall trend test and Sen’s slope method were used to analyze the spatiotemporal variation characteristics of cotton yield and low−temperature cold damage during the cotton growing season (including seedling stage and flowering−boll stage cold damage). The copula function was employed to assess the impact of low−temperature cold damage on cotton yield. This study aimed to reveal the historical evolution of both cotton yield and low−temperature cold damage, and to quantify the impact of low−temperature cold damage on the probability of yield reduction, helping cotton farmers mitigate production risks. The results showed that, from 1990 to 2019, cotton yield exhibited a highly significant increasing trend (P<0.01) in 86.3% of the Xinjiang region, with an average annual increase of 30.22 kg·ha−1. The high−value cotton production areas were mainly concentrated near the Tianshan mountains, while the yield stability showed a gradual increase from west to east. During the period from 1990 to 2019, significant changes in low−temperature cold damage occurred in the cotton−growing regions of Xinjiang. In 27.4% of the cotton-producing counties (districts and cities), the number of cumulative days of low−temperature stress during the seedling stage (LST) showed a highly significant decrease. Moreover, 37.0% of the counties experienced a highly significant decreasing trend (P<0.01) in cumulative low−temperature stress days during the flowering−boll stage (LTB). As the cumulative number of LST days increased, the probability of cotton meteorological yield loss increased by 19.1 percentage points in southern Xinjiang and by 19.0 percentage points in northern Xinjiang. Similarly, as cumulative LTB days increased, the probability of yield reduction increased by 18.6 percentage points in southern Xinjiang and by 20.5 percentage points in northern Xinjiang. In conclusion, over the past 30 years, cotton yield in Xinjiang has significantly increased, the frequency of low−temperature cold damage has generally decreased, and as the duration of low−temperature cold damage increased, the probability of cotton yield reduction rose, with the impact being more significant in northern Xinjiang than in southern Xinjiang.

Key words: Climate change, Cold damage in seedling stage, Cold damage in flowering?boll stage, Meteorological yield, Risk analysis, Xinjiang