Article(id=1305136492259602764, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305136340186718236, articleNumber=null, orderNo=null, doi=10.7606/j.issn.1009-1041.2026.04.11, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748448000000, receivedDateStr=2025-05-29, revisedDate=1751817600000, revisedDateStr=2025-07-07, acceptedDate=null, acceptedDateStr=null, onlineDate=1789098388018, onlineDateStr=2026-09-11, pubDate=1776182400000, pubDateStr=2026-04-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789098388018, onlineIssueDateStr=2026-09-11, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789098388018, creator=13701087609, updateTime=1789098388018, updator=13701087609, issue=Issue{id=1305136340186718236, tenantId=1146029695717560320, journalId=1303687221787852879, year='2026', volume='46', issue='4', pageStart='F2', pageEnd='566', issueExtLink='null', onlineDate='null', pubDate='1776182400000', pubDateStr='2026-04-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789098351761, creator='13701087609', updateTime=1789103128365, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1305156374778900923, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305136340186718236, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1305156374778900924, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305136340186718236, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=520, endPage=530, ext={EN=ArticleExt(id=1305136494017016141, articleId=1305136492259602764, tenantId=1146029695717560320, journalId=1303687221787852879, language=EN, title=Spatiotemporal Variation Characteristics of Wheat Quality and Influence of Meteorological Factors in Shandong, columnId=1305133133406433355, journalTitle=Journal of Triticeae Crops, columnName=Physiology, Ecology and Cultivation, runingTitle=null, highlight=null, articleAbstract=

In order to explore the spatiotemporal variation characteristics of wheat quality in Shandong Province and identify key meteorological factors, the quality traits of 673 Jimai 22 samples collected from 105 counties and districts in Shandong Province from 2018 to 2024 were analyzed. The spatiotemporal variation characteristics of wheat quality were examined by analysis of variance (ANOVA), and the relationship between wheat quality traits and meteorological factors was analyzed by the stepwise regression method. The high-quality possibility distributions were visualized by geographic information system (GIS). The results showed that Jimai 22 in Shandong Province generally exhibited medium-strong gluten and medium gluten characteristics, with relatively high protein content and wet gluten content, but moderate processing properties such as stability time and maximum tensile resistance. In terms of temporal variation, wheat quality showed significant annual fluctuations, and the proportion of medium-strong gluten and medium gluten wheat increased from 53.5% in 2018 to 87.6% in 2024. In terms of spatial pattern, there were obvious differences in wheat quality among ecological areas, and the quality of wheat in Jiaodong was the best, followed by the southwestern of Shandong Province. Meteorological factors analysis indicated that the anthesis-maturating period was the key period determining wheat quality. During this period, the daily temperature range was significantly correlated with test weight, stability time, and maximum tensile resistance; the maximum temperature was significantly negatively correlated with protein content and sedimentation index; the rainfall was significantly positively correlated with wet gluten content; and the average temperature was significantly negatively correlated with sedimentation index and development time. Jimai 22 showed good adaptability in Shandong Province. Jiaodong had the potential for developing medium-strong gluten wheat, while the southwestern in Shandong Province was suitable for developing medium gluten wheat.

, authors=Xueyan WANG, Ying ZHAO, Xianxi TIAN, Lingyun REN, Ruijie WANG, Zhenhua LI, Xiaoyue LI, authorsList=Xueyan WANG, Ying ZHAO, Xianxi TIAN, Lingyun REN, Ruijie WANG, Zhenhua LI, Xiaoyue LI, authorCompany=null, correspAuthors=Ying ZHAO, 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=1305136494344171854, articleId=1305136492259602764, tenantId=1146029695717560320, journalId=1303687221787852879, language=CN, title=山东小麦品质时空变异特征及气象因子影响分析, columnId=1305133133590982733, journalTitle=麦类作物学报, columnName=生理、生态与栽培, runingTitle=null, highlight=null, articleAbstract=

为探究山东省小麦品质的时空变化特征并明确关键气象因子，基于2018—2024年山东省105个县区673份小麦品种济麦22籽粒样品的9个品质指标数据，运用方差分析和逐步回归方法，分析小麦品质时空变异特征及其与气象因子的关系，并借助地理信息系统（GIS）可视化小麦优质的可能性区域。结果表明，山东省小麦整体呈现中强筋和中筋品质特征，蛋白质和湿面筋含量较高，但稳定时间、最大拉伸阻力等加工品质指标表现中等。时间维度上，小麦品质年际波动明显，中筋以上小麦比例从2018年53.5%显著提升至2024年87.6%。空间格局上，生态区间品质差异明显，胶东地区品质最优，鲁西南地区次之。从气象效应看，开花—成熟期是决定小麦品质的关键阶段，该阶段的日温差与容重、稳定时间和最大拉伸阻力极显著或显著相关，最高气温与蛋白质含量和沉淀指数呈显著或极显著负相关，降水量与湿面筋含量呈极显著正相关，平均温度与沉淀指数和形成时间呈极显著或显著负相关。济麦22在山东省表现出较好的适应性，胶东地区具备发展优质中强筋小麦潜力，鲁西南地区适宜发展优质中筋小麦。

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