Article(id=1305136330825035808, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305136200847740945, articleNumber=null, orderNo=null, doi=10.7606/j.issn.1009-1041.2026.05.14, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760457600000, receivedDateStr=2025-10-15, revisedDate=1763049600000, revisedDateStr=2025-11-14, acceptedDate=null, acceptedDateStr=null, onlineDate=1789098349529, onlineDateStr=2026-09-11, pubDate=1778774400000, pubDateStr=2026-05-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789098349529, onlineIssueDateStr=2026-09-11, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789098349529, creator=13701087609, updateTime=1789098349529, updator=13701087609, issue=Issue{id=1305136200847740945, tenantId=1146029695717560320, journalId=1303687221787852879, year='2026', volume='46', issue='5', pageStart='F2', pageEnd='706', issueExtLink='null', onlineDate='null', pubDate='1778774400000', pubDateStr='2026-05-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789098318540, creator='13701087609', updateTime=1789103109806, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1305156296924222402, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305136200847740945, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1305156296924222403, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305136200847740945, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=696, endPage=706, ext={EN=ArticleExt(id=1305136331429015585, articleId=1305136330825035808, tenantId=1146029695717560320, journalId=1303687221787852879, language=EN, title=Characteristics of Winter Wheat Phenology and Agricultural Climate Change in Tongren, Guizhou Province from 1984 to 2020, columnId=1305133133406433355, journalTitle=Journal of Triticeae Crops, columnName=Physiology, Ecology and Cultivation, runingTitle=null, highlight=null, articleAbstract=

Based on the continuous 37 year (1984-2020) phenological observation data of winter wheat at the National Agricultural Meteorological Observation Station in Tongren City, Guizhou Province, and combined with the meteorological observation data of the corresponding period, the changes and response relationships of the phenological periods of winter wheat and agricultural climate factors were systematically analyzed using kernel density estimation, climate trend analysis, correlation analysis, and multiple linear regression model. The results showed that the phenological periods of winter wheat in Tongren City from 1984 to 2020 generally showed a phased delay trend, among which the tillering period had the largest delay [10.9 d· (10 a)-1]. The duration of key growth stages was characterized by an extension at early stage [vegetative growth period extended by 5.6 d· (10 a)-1], a shortening in the middle stage[vegetative and reproductive growth concurrent period shortened by -10.8 d· (10 a)-1], and relative stability at late stag [reproductive growth period changed by 0.2 d· (10 a)-1]. During the growth period of winter wheat, the agricultural climate elements generally showed an increase in temperature, a decrease in sunshine, and an increase in the fluctuation of water and heat conditions. Correlation analysis indicated that accumulated temperature and ground temperature were significantly positively correlated with the phenological period day numbers of sowing, emergence and three-leaf stage (P<0.001), while relative humidity and sunshine duration were significantly negatively correlated with the phenological periods of heading, flowering and milk-ripen stage (P<0.05 or P<0.01), yet the maturity period had no significant correlation with each climate factor. The results of multiple regression analysis showed that the phenological periods of winter wheat were most sensitive to accumulated temperature and ground temperature, followed by daily temperature range, precipitation and relative humidity, and less sensitive to sunshine duration. This study revealed the response characteristics of the phenological periods of winter wheat in the northeastern part of Guizhou Province to climate change, which can provide agricultural meteorological basis for the breeding and cultivation management of winter wheat varieties in the region.

, authors=Yaqiong KUANG1, Xiameng CHEN1, Kai CHENG2, Lijuan ZHANG1, Yingxia LIU3, Yanxi CHEN4, Chunyan LÜ1, authorsList=Yaqiong KUANG, Xiameng CHEN, Kai CHENG, Lijuan ZHANG, Yingxia LIU, Yanxi CHEN, Chunyan LÜ, authorCompany=null, correspAuthors=Chunyan LÜ, 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=1305136331764559906, articleId=1305136330825035808, tenantId=1146029695717560320, journalId=1303687221787852879, language=CN, title=1984-2020年贵州铜仁冬小麦物候期与农业气候变化特征, columnId=1305133133590982733, journalTitle=麦类作物学报, columnName=生理、生态与栽培, runingTitle=null, highlight=null, articleAbstract=

基于贵州省铜仁市国家农业气象观测站连续37年(1984-2020年)冬小麦物候期观测资料,结合同期气象观测数据,采用核密度估计、气候趋势分析、相关性分析和多元线性回归模型,系统分析铜仁市冬小麦物候期及农业气候因子的变化特征及其响应关系。结果表明,1984-2020年铜仁市冬小麦物候期总体呈阶段性推迟趋势,其中分蘖期推迟幅度最大[10.9 d·(10 a)-1]。关键生育阶段持续时间表现为前期延长[营养生长期延长5.6 d·(10 a)-1]、中期缩短[营养与生殖生长并进期缩短-10.8 d·(10 a)-1],后期基本稳定(生殖生长期为0.2 d·(10 a)-1)。冬小麦生育期间农业气候要素总体表现为气温升高、日照减少及水热条件波动增强。相关分析显示,≥10 ℃积温和地面温度与播种、出苗及三叶期物候期日序数呈显著正相关(P<0.001),而相对湿度和日照时数与孕穗、开花及乳熟期日序数呈显著负相关(P<0.05或P<0.01),成熟期与各气候因子相关不显著。多元回归分析表明,冬小麦物候期对≥10 ℃积温和地面温度的敏感性最强,其次为气温日较差、降水量和相对湿度,对日照时数的敏感性相对较弱。本研究揭示了黔东北地区冬小麦物候期对气候变化的响应特征,可为区域冬小麦品种选育和栽培管理提供农业气象依据。

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E-mail: (旷雅琼)

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1984-2020年贵州铜仁冬小麦物候期与农业气候变化特征
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旷雅琼 1 , 陈夏盟 1 , 程凯 2 , 张李娟 1 , 刘迎霞 3 , 陈彦希 4 , 吕春艳 1
麦类作物学报 | 生理、生态与栽培 2026,46(5): 696-706
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麦类作物学报 |生理、生态与栽培 2026 , 46 (5) : 696 -706
1984-2020年贵州铜仁冬小麦物候期与农业气候变化特征
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旷雅琼1 , 陈夏盟1, 程凯2, 张李娟1, 刘迎霞3, 陈彦希4, 吕春艳1
作者信息
  • 1.贵州省铜仁市气象局,贵州 铜仁 554300
  • 2.中国气象局乌鲁木齐沙漠气象研究所,新疆 乌鲁木齐 830002
  • 3.广东省肇庆市气象局,广东 肇庆 526000
  • 4.海南省气象探测中心,海南 海口 570203
通讯作者:
E-mail: (吕春艳)
作者简介:

E-mail: (旷雅琼)

Characteristics of Winter Wheat Phenology and Agricultural Climate Change in Tongren, Guizhou Province from 1984 to 2020
Yaqiong KUANG1 , Xiameng CHEN1, Kai CHENG2, Lijuan ZHANG1, Yingxia LIU3, Yanxi CHEN4, Chunyan LÜ1
Affiliations
  • 1.Tongren Meteorological Bureau, Tongren, Guizhou 554300, China
  • 2.Institute of Desert Meteorology, China Meteorological Administration, Urumqi, Xinjiang 830002, China
  • 3.Zhaoqing Meteorological Bureau, Zhaoqing, Guangdong 526000, China
  • 4.Hainan Meteorological Detection Center, Haikou, Hainan 570203, China
出版时间: 2026-05-15 doi: 10.7606/j.issn.1009-1041.2026.05.14
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基于贵州省铜仁市国家农业气象观测站连续37年(1984-2020年)冬小麦物候期观测资料,结合同期气象观测数据,采用核密度估计、气候趋势分析、相关性分析和多元线性回归模型,系统分析铜仁市冬小麦物候期及农业气候因子的变化特征及其响应关系。结果表明,1984-2020年铜仁市冬小麦物候期总体呈阶段性推迟趋势,其中分蘖期推迟幅度最大[10.9 d·(10 a)-1]。关键生育阶段持续时间表现为前期延长[营养生长期延长5.6 d·(10 a)-1]、中期缩短[营养与生殖生长并进期缩短-10.8 d·(10 a)-1],后期基本稳定(生殖生长期为0.2 d·(10 a)-1)。冬小麦生育期间农业气候要素总体表现为气温升高、日照减少及水热条件波动增强。相关分析显示,≥10 ℃积温和地面温度与播种、出苗及三叶期物候期日序数呈显著正相关(P<0.001),而相对湿度和日照时数与孕穗、开花及乳熟期日序数呈显著负相关(P<0.05或P<0.01),成熟期与各气候因子相关不显著。多元回归分析表明,冬小麦物候期对≥10 ℃积温和地面温度的敏感性最强,其次为气温日较差、降水量和相对湿度,对日照时数的敏感性相对较弱。本研究揭示了黔东北地区冬小麦物候期对气候变化的响应特征,可为区域冬小麦品种选育和栽培管理提供农业气象依据。

冬小麦  /  物候期  /  农业气候因子  /  核密度估计  /  气候趋势分析

Based on the continuous 37 year (1984-2020) phenological observation data of winter wheat at the National Agricultural Meteorological Observation Station in Tongren City, Guizhou Province, and combined with the meteorological observation data of the corresponding period, the changes and response relationships of the phenological periods of winter wheat and agricultural climate factors were systematically analyzed using kernel density estimation, climate trend analysis, correlation analysis, and multiple linear regression model. The results showed that the phenological periods of winter wheat in Tongren City from 1984 to 2020 generally showed a phased delay trend, among which the tillering period had the largest delay [10.9 d· (10 a)-1]. The duration of key growth stages was characterized by an extension at early stage [vegetative growth period extended by 5.6 d· (10 a)-1], a shortening in the middle stage[vegetative and reproductive growth concurrent period shortened by -10.8 d· (10 a)-1], and relative stability at late stag [reproductive growth period changed by 0.2 d· (10 a)-1]. During the growth period of winter wheat, the agricultural climate elements generally showed an increase in temperature, a decrease in sunshine, and an increase in the fluctuation of water and heat conditions. Correlation analysis indicated that accumulated temperature and ground temperature were significantly positively correlated with the phenological period day numbers of sowing, emergence and three-leaf stage (P<0.001), while relative humidity and sunshine duration were significantly negatively correlated with the phenological periods of heading, flowering and milk-ripen stage (P<0.05 or P<0.01), yet the maturity period had no significant correlation with each climate factor. The results of multiple regression analysis showed that the phenological periods of winter wheat were most sensitive to accumulated temperature and ground temperature, followed by daily temperature range, precipitation and relative humidity, and less sensitive to sunshine duration. This study revealed the response characteristics of the phenological periods of winter wheat in the northeastern part of Guizhou Province to climate change, which can provide agricultural meteorological basis for the breeding and cultivation management of winter wheat varieties in the region.

Winter wheat  /  Phenological phase  /  Agricultural meteorological factors  /  Kernel density estimation  /  Climate trend analysis
旷雅琼, 陈夏盟, 程凯, 张李娟, 刘迎霞, 陈彦希, 吕春艳. 1984-2020年贵州铜仁冬小麦物候期与农业气候变化特征. 麦类作物学报, 2026 , 46 (5) : 696 -706 . DOI: 10.7606/j.issn.1009-1041.2026.05.14
Yaqiong KUANG, Xiameng CHEN, Kai CHENG, Lijuan ZHANG, Yingxia LIU, Yanxi CHEN, Chunyan LÜ. Characteristics of Winter Wheat Phenology and Agricultural Climate Change in Tongren, Guizhou Province from 1984 to 2020[J]. Journal of Triticeae Crops, 2026 , 46 (5) : 696 -706 . DOI: 10.7606/j.issn.1009-1041.2026.05.14
  • 贵州省气象局科研业务项目(黔气科登[2025]09-06号)
  • 贵州省气象局省市联合科研基金项目(黔气科合SS-SZ[2024]13号)
  • 贵州省气象局省市联合科研基金项目(黔气科合 QY-MS[2025]08号)
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doi: 10.7606/j.issn.1009-1041.2026.05.14
  • 接收时间:2025-10-15
  • 首发时间:2026-09-11
  • 出版时间:2026-05-15
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出版历史
  • 收稿日期:2025-10-15
  • 修回日期:2025-11-14
基金
贵州省气象局科研业务项目(黔气科登[2025]09-06号)
贵州省气象局省市联合科研基金项目(黔气科合SS-SZ[2024]13号)
贵州省气象局省市联合科研基金项目(黔气科合 QY-MS[2025]08号)
作者信息
    1.贵州省铜仁市气象局,贵州 铜仁 554300
    2.中国气象局乌鲁木齐沙漠气象研究所,新疆 乌鲁木齐 830002
    3.广东省肇庆市气象局,广东 肇庆 526000
    4.海南省气象探测中心,海南 海口 570203

通讯作者:

E-mail: (吕春艳)
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Percentage of total
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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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