Article(id=1305139352493912929, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305139324555649224, articleNumber=null, orderNo=null, doi=10.7606/j.issn.1009-1041.2026.03.14, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744560000000, receivedDateStr=2025-04-14, revisedDate=1749139200000, revisedDateStr=2025-06-06, acceptedDate=null, acceptedDateStr=null, onlineDate=1789099069951, onlineDateStr=2026-09-11, pubDate=1773504000000, pubDateStr=2026-03-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789099069951, onlineIssueDateStr=2026-09-11, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789099069951, creator=13701087609, updateTime=1789099069951, updator=13701087609, issue=Issue{id=1305139324555649224, tenantId=1146029695717560320, journalId=1303687221787852879, year='2026', volume='46', issue='3', pageStart='F2', pageEnd='424', issueExtLink='null', onlineDate='null', pubDate='1773504000000', pubDateStr='2026-03-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789099063289, creator='13701087609', updateTime=1789103147683, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1305156455804465602, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305139324555649224, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1305156455804465603, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305139324555649224, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=413, endPage=423, ext={EN=ArticleExt(id=1305139352691045218, articleId=1305139352493912929, tenantId=1146029695717560320, journalId=1303687221787852879, language=EN, title=Analysis of Drought Characteristics of Spring Wheat in Hexi Corridor Based on Crop Water Deficit Index, columnId=1305133133406433355, journalTitle=Journal of Triticeae Crops, columnName=Physiology, Ecology and Cultivation, runingTitle=null, highlight=null, articleAbstract=

Drought is the primary agrometeorological disaster affecting spring wheat growth in the Hexi Corridor. Accurately identifying its drought characteristics is crucial for field management and disaster prevention and mitigation in local spring wheat cultivation. Based on the daily meteorological data from Wuwei Meteorological Station and the growth stage, soil relative humidity (Rsm) and yield data of spring wheat from the Agrometeorological Experiment Station during 1995-2023, the effective precipitation (Pe), crop water requirement (ETc), and crop water deficit index (CWDI) during the growth periods of spring wheat were calculated, and regression analysis, Spearman correlation analysis, and Mann-Kendall (M-K) detection were employed to reveal the water supply-demand dynamics and drought characteristics of spring wheat. The results showed that the ETc during the growth period of spring wheat in the Hexi Corridor significantly exceeded Pe during 1995-2023. Under non-irrigation conditions, severe water imbalance occurred, with the peak water deficit reached 58.7 mm during jointing-heading stage. Drought frequency analysis showed frequent drought occurrences across all growth stages without irrigation, particularly during the jointing-heading stage, where the frequency of severe drought reached 86%. Under irrigation, only the sowing-three leaf stage exhibited a severe drought frequency of 55%, but the actual yield reduction rate was only 2.7%-9.4%. The interannual fluctuations of CWDI were significant between 1995 and 2023, under non-irrigation conditions, continuous drought persisted throughout the growth periods, with CWDI reaching 85% during the heading-grain filling stage. The CWDI showed an extremely significant upward trend at 9.5% a-1 (P<0.01), with an abrupt change occurring in 2014-2015. Under irrigation, the CWDI showed a monomodal pattern, with an overall increase rate slowing down to 1.4% a-1, however significantly downward trend at 52.0% a-1 (P<0.05) during three leaf-jointing stage. Although CWDI reached 81% during sowing-three leaf stage, winter irrigation ensured soil moisture, which basically met crop requirements. Climate change intensified water stress on spring wheat. Adopting precision irrigation technologies such as drip irrigation during the critical water requirement stages of spring wheat can effectively mitigate the adverse impacts of climate change induced spring droughts and late spring early summer droughts on crops. This approach ensures normal growth and development of spring wheat and stabilized yields.

, authors=Hua YANG1, 2, Jufang JIANG1, 2, Wenkui DING2, Yue QI1, Qian CHENG2, Xingyu LI2, Jindan ZHANG2, authorsList=Hua YANG, Jufang JIANG, Wenkui DING, Yue QI, Qian CHENG, Xingyu LI, Jindan ZHANG, authorCompany=null, correspAuthors=Jufang JIANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1305139352917537635, articleId=1305139352493912929, tenantId=1146029695717560320, journalId=1303687221787852879, language=CN, title=基于CWDI的河西春小麦干旱特征分析, columnId=1305133133590982733, journalTitle=麦类作物学报, columnName=生理、生态与栽培, runingTitle=null, highlight=null, articleAbstract=

干旱是影响河西走廊春小麦生长的主要农业气象灾害,准确识别其干旱特征对当地春小麦科学田间管理和防灾减灾非常重要。基于1995-2023年武威气象站逐日气象数据及农业气象试验站春小麦发育时期、土壤相对湿度(Rsm)和产量数据,计算春小麦生育期内有效降水量(Pe)、作物需水量(ETc)及作物水分亏缺指数(CWDI),并采用回归分析、Spearman相关分析、Mann-kendall(M-K)检测等方法,分析了春小麦水分供需状况及干旱特征。结果表明,1995-2023年河西春小麦生育期ETc远高于Pe,无灌溉条件下水分供需失衡,拔节—抽穗期水分亏缺峰值达58.7 mm。经干旱频率分析,无灌溉条件下春小麦全生育期旱灾频发,拔节—抽穗期重旱频率高达86%;有灌溉时仅播种—三叶期重旱频率为55%,但实际减产率仅2.7%~9.4%。1995—2023年河西CWDI年际波动显著,无灌溉时春小麦全生育期持续干旱,抽穗—乳熟期CWDI高达85%,并以9.5%·a-1速率极显著上升(P<0.01),2014-2015年发生突变;灌溉条件下CWDI呈单谷型变化,整体上升速率减缓至1.4%·a-1,但三叶—拔节期为52.0%·a-1的显著下降趋势(P<0.05),播种—三叶期CWDI为81%,但冬灌保障了土壤墒情,水分基本满足春小麦生长需求。气候变化加剧了春小麦水分胁迫,在春小麦需水关键期采用滴灌等精准灌溉技术,能够有效缓解气候变化导致的春旱及春末夏初干旱对作物的负面影响,保障春小麦正常生长发育,稳定产量。

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基于CWDI的河西春小麦干旱特征分析
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杨华 1, 2 , 蒋菊芳 1, 2 , 丁文魁 2 , 齐月 1 , 程倩 2 , 李兴宇 2 , 张金丹 2
麦类作物学报 | 生理、生态与栽培 2026,46(3): 413-423
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麦类作物学报 |生理、生态与栽培 2026 , 46 (3) : 413 -423
基于CWDI的河西春小麦干旱特征分析
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杨华1, 2 , 蒋菊芳1, 2 , 丁文魁2, 齐月1, 程倩2, 李兴宇2, 张金丹2
作者信息
  • 1.中国气象局武威国家气候观象台,甘肃 武威 733000
  • 2.中国气象局兰州干旱气象研究所干旱气候变化与影响研究室,甘肃 兰州 730020
通讯作者:
E-mail: (蒋菊芳)
作者简介:

E-mail: (杨华)

Analysis of Drought Characteristics of Spring Wheat in Hexi Corridor Based on Crop Water Deficit Index
Hua YANG1, 2 , Jufang JIANG1, 2 , Wenkui DING2, Yue QI1, Qian CHENG2, Xingyu LI2, Jindan ZHANG2
Affiliations
  • 1.Wuwei National Climate Observatory of China Meteorological Administration, Wuwei, Gansu 733000, China
  • 2.The Arid Climate Change and Impacts Laboratory, Lanzhou Institute of Arid Meteorology, China Meteorological Administration, Lanzhou, Gansu 730020, China
出版时间: 2026-03-15 doi: 10.7606/j.issn.1009-1041.2026.03.14
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干旱是影响河西走廊春小麦生长的主要农业气象灾害,准确识别其干旱特征对当地春小麦科学田间管理和防灾减灾非常重要。基于1995-2023年武威气象站逐日气象数据及农业气象试验站春小麦发育时期、土壤相对湿度(Rsm)和产量数据,计算春小麦生育期内有效降水量(Pe)、作物需水量(ETc)及作物水分亏缺指数(CWDI),并采用回归分析、Spearman相关分析、Mann-kendall(M-K)检测等方法,分析了春小麦水分供需状况及干旱特征。结果表明,1995-2023年河西春小麦生育期ETc远高于Pe,无灌溉条件下水分供需失衡,拔节—抽穗期水分亏缺峰值达58.7 mm。经干旱频率分析,无灌溉条件下春小麦全生育期旱灾频发,拔节—抽穗期重旱频率高达86%;有灌溉时仅播种—三叶期重旱频率为55%,但实际减产率仅2.7%~9.4%。1995—2023年河西CWDI年际波动显著,无灌溉时春小麦全生育期持续干旱,抽穗—乳熟期CWDI高达85%,并以9.5%·a-1速率极显著上升(P<0.01),2014-2015年发生突变;灌溉条件下CWDI呈单谷型变化,整体上升速率减缓至1.4%·a-1,但三叶—拔节期为52.0%·a-1的显著下降趋势(P<0.05),播种—三叶期CWDI为81%,但冬灌保障了土壤墒情,水分基本满足春小麦生长需求。气候变化加剧了春小麦水分胁迫,在春小麦需水关键期采用滴灌等精准灌溉技术,能够有效缓解气候变化导致的春旱及春末夏初干旱对作物的负面影响,保障春小麦正常生长发育,稳定产量。

作物水分亏缺指数  /  河西春小麦  /  水分供需  /  干旱频率  /  干旱特征

Drought is the primary agrometeorological disaster affecting spring wheat growth in the Hexi Corridor. Accurately identifying its drought characteristics is crucial for field management and disaster prevention and mitigation in local spring wheat cultivation. Based on the daily meteorological data from Wuwei Meteorological Station and the growth stage, soil relative humidity (Rsm) and yield data of spring wheat from the Agrometeorological Experiment Station during 1995-2023, the effective precipitation (Pe), crop water requirement (ETc), and crop water deficit index (CWDI) during the growth periods of spring wheat were calculated, and regression analysis, Spearman correlation analysis, and Mann-Kendall (M-K) detection were employed to reveal the water supply-demand dynamics and drought characteristics of spring wheat. The results showed that the ETc during the growth period of spring wheat in the Hexi Corridor significantly exceeded Pe during 1995-2023. Under non-irrigation conditions, severe water imbalance occurred, with the peak water deficit reached 58.7 mm during jointing-heading stage. Drought frequency analysis showed frequent drought occurrences across all growth stages without irrigation, particularly during the jointing-heading stage, where the frequency of severe drought reached 86%. Under irrigation, only the sowing-three leaf stage exhibited a severe drought frequency of 55%, but the actual yield reduction rate was only 2.7%-9.4%. The interannual fluctuations of CWDI were significant between 1995 and 2023, under non-irrigation conditions, continuous drought persisted throughout the growth periods, with CWDI reaching 85% during the heading-grain filling stage. The CWDI showed an extremely significant upward trend at 9.5% a-1 (P<0.01), with an abrupt change occurring in 2014-2015. Under irrigation, the CWDI showed a monomodal pattern, with an overall increase rate slowing down to 1.4% a-1, however significantly downward trend at 52.0% a-1 (P<0.05) during three leaf-jointing stage. Although CWDI reached 81% during sowing-three leaf stage, winter irrigation ensured soil moisture, which basically met crop requirements. Climate change intensified water stress on spring wheat. Adopting precision irrigation technologies such as drip irrigation during the critical water requirement stages of spring wheat can effectively mitigate the adverse impacts of climate change induced spring droughts and late spring early summer droughts on crops. This approach ensures normal growth and development of spring wheat and stabilized yields.

Crop water deficit index  /  Spring wheat in the Hexi Corridor  /  Water requirements and supplies  /  Drought frequency  /  Drought characteristics
杨华, 蒋菊芳, 丁文魁, 齐月, 程倩, 李兴宇, 张金丹. 基于CWDI的河西春小麦干旱特征分析. 麦类作物学报, 2026 , 46 (3) : 413 -423 . DOI: 10.7606/j.issn.1009-1041.2026.03.14
Hua YANG, Jufang JIANG, Wenkui DING, Yue QI, Qian CHENG, Xingyu LI, Jindan ZHANG. Analysis of Drought Characteristics of Spring Wheat in Hexi Corridor Based on Crop Water Deficit Index[J]. Journal of Triticeae Crops, 2026 , 46 (3) : 413 -423 . DOI: 10.7606/j.issn.1009-1041.2026.03.14
  • 武威市科技计划项目(WW23B02NY204)
  • 甘肃省气象局创新团队项目(GSQXCXTD-2026-01)
  • 甘肃省科技重大专项(25ZDFA011)
  • 中国气象局创新发展专项项目(CXFZ2024J056)
  • 甘肃省科技计划项目(25JRRH001)
  • 甘肃省气象局重点项目(Zd2024-D-3)
  • 甘肃省气象局面上项目(Ms2025-D-11)
  • 武威市科技特派员专题项目(WW24A01RPK002)
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doi: 10.7606/j.issn.1009-1041.2026.03.14
  • 接收时间:2025-04-14
  • 首发时间:2026-09-11
  • 出版时间:2026-03-15
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  • 收稿日期:2025-04-14
  • 修回日期:2025-06-06
基金
武威市科技计划项目(WW23B02NY204)
甘肃省气象局创新团队项目(GSQXCXTD-2026-01)
甘肃省科技重大专项(25ZDFA011)
中国气象局创新发展专项项目(CXFZ2024J056)
甘肃省科技计划项目(25JRRH001)
甘肃省气象局重点项目(Zd2024-D-3)
甘肃省气象局面上项目(Ms2025-D-11)
武威市科技特派员专题项目(WW24A01RPK002)
作者信息
    1.中国气象局武威国家气候观象台,甘肃 武威 733000
    2.中国气象局兰州干旱气象研究所干旱气候变化与影响研究室,甘肃 兰州 730020

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E-mail: (蒋菊芳)
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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