Article(id=1305139339625783637, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1305139324555649224, articleNumber=null, orderNo=null, doi=10.7606/j.issn.1009-1041.2026.03.03, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744732800000, receivedDateStr=2025-04-16, revisedDate=1749657600000, revisedDateStr=2025-06-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1789099066883, onlineDateStr=2026-09-11, pubDate=1773504000000, pubDateStr=2026-03-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789099066883, onlineIssueDateStr=2026-09-11, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789099066883, creator=13701087609, updateTime=1789099066883, 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=304, endPage=311, ext={EN=ArticleExt(id=1305139339931967830, articleId=1305139339625783637, tenantId=1146029695717560320, journalId=1303687221787852879, language=EN, title=Evolutionary Trends of Agronomic and Quality Traits of Wheat Varieties Approved by the National Huang-Huai Dryland, columnId=1305133119129023428, journalTitle=Journal of Triticeae Crops, columnName=Genetics & Breeding, runingTitle=null, highlight=null, articleAbstract=

To further explore the evolution patterns of wheat varieties in the dryland areas of the Huanghuai region, 67 wheat varieties approved by the state from 2006 to 2023 were used as experimental materials. The variation analysis, linear analysis, correlation analysis, path analysis and cluster analysis were conducted on the main agronomic traits (plant height, effective spike number, grain number per spike, thousand-grain weight and yield) and quality traits (protein content, wet gluten content, stability time, test weight and water absorption rate) of the wheat varieties in the dryland of the Huanghuai region. The results showed that the coefficient of variation of stability time of the wheat varieties in the dryland of the Huanghuai region was the largest, reaching 72.31%, while the coefficients of variation of other agronomic and quality traits were relatively small (2.23%-14.37%). Plant height and thousand-grain weight showed a gradually decreasing trend, with an average annual decrease of 0.21 cm and 0.03 g, respectively; grain number per spike, effective spike number and yield showed a steady upward trend, with an average annual increase of 0.11 grains, 4.71×10⁴ spikes·hm^-2 and 28.73 kg·hm^-2, respectively; protein content and wet gluten content showed a decreasing trend year by year, with an average annual decrease of 0.04% and 0.03%, respectively; stability time, test weight and water absorption rate showed a slow increasing trend, with an average annual increase of 0.2 min, 1.48 g·L^-1 and 0.04%, respectively. The results of correlation analysis showed that yield was significantly (P<0.05) or extremely significantly (P<0.01) positively correlated with thousand-grain weight, grain number per spike, and effective spike number, while plant height was significantly negatively correlated with yield; protein content was extremely significantly positively correlated with wet gluten content, and the test weight was significantly positively correlated with the water absorption rate. Path analysis indicated that the direct contribution to yield ranked as effective spike number (0.488)>thousand-grain weight (0.356)>grain number per spike (0.303)>plant height (-0.069). The cluster analysis classified the 67 varieties into four categories according to quality indicators. Class I varieties had the best performance in stability time and test weight; Class II varieties had the highest average values of water absorption rate, wet gluten content, and protein content; Class Ⅲ contained the most varieties, with the lowest average values of protein content and stability time among the four groups; Class IV varieties have the lowest test weight. In conclusion, for wheat breeding in the dryland of the Huanghuai region, it is necessary to appropriately reduce plant height while increase effective spike number, grain number per spike, and thousand-grain weight to enhance yield. At the same time, attention should be paid to improving the quality of the varieties to achieve high yield and quality.

, authors=Zhiyuan WU, Junling ZHANG, Jinlong YAN, Liyun FENG, Dongxu ZHANG, authorsList=Zhiyuan WU, Junling ZHANG, Jinlong YAN, Liyun FENG, Dongxu ZHANG, authorCompany=null, correspAuthors=Junling ZHANG, 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=1305139340317843799, articleId=1305139339625783637, tenantId=1146029695717560320, journalId=1303687221787852879, language=CN, title=国家黄淮旱地审定小麦品种农艺和品质性状演变规律, columnId=1305133119284212678, journalTitle=麦类作物学报, columnName=遗传育种, runingTitle=null, highlight=null, articleAbstract=

为进一步探讨国家黄淮旱地小麦品种演变规律，以2006-2023年国家审定的67个黄淮旱地小麦品种为试验材料，对其主要农艺性状（株高、有效穗数、穗粒数、千粒重、产量）和品质性状（蛋白质含量、湿面筋含量、稳定时间、容重、吸水率）进行变异分析、线性分析、相关性分析、通径分析和聚类分析。结果表明，2006-2023年国家审定的67个黄淮旱地小麦品种指标中，稳定时间变异系数最大，为72.31%，其他农艺和品质性状变异系数较小（2.23%~14.37%）。随时间推移，株高、千粒重呈逐渐降低趋势，年均分别下降0.21 cm和0.03 g；穗粒数、有效穗数和产量均呈稳步上升趋势，年均分别增长0.11粒、4.71×10⁴穗·hm^-2和28.73 kg·hm^-2；蛋白质含量和湿面筋含量呈逐年下降趋势，年均分别下降0.04%和0.03%；稳定时间、容重和吸水率呈缓慢递增趋势，年均分别增长0.2 min、1.48 g·L^-1和0.04%。经相关性分析，产量与千粒重、穗粒数和有效穗数呈显著（P<0.05）或极显著（P<0.01）正相关，株高与产量呈显著负相关，蛋白质含量与湿面筋含量呈极显著正相关，容重与吸水率呈显著正相关。通过通径分析，对产量的直接贡献大小表现为有效穗数（0.488）>千粒重（0.356）>穗粒数（0.303）>株高（-0.069）。按照品质指标将67个品种分为4类，第I类品种的稳定时间和容重表现最优；第II类品种的吸水率、湿面筋含量和蛋白质含量均值最高；第Ⅲ类品种数量最多，其蛋白质含量和稳定时间均值在4个类群中最低；第Ⅳ类品种容重最低。综上所述，黄淮旱地小麦育种需在适当降低株高的前提下，通过增加有效穗数、穗粒数和千粒重提高产量，并注重品种品质提升，实现高产优质。

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