Article(id=1307627732418977956, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1307627726379184283, articleNumber=null, orderNo=null, doi=10.7606/j.issn.1009-1041.2025.09.03, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1725552000000, receivedDateStr=2024-09-06, revisedDate=1729612800000, revisedDateStr=2024-10-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1789692345957, onlineDateStr=2026-09-18, pubDate=1757865600000, pubDateStr=2025-09-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789692345957, onlineIssueDateStr=2026-09-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789692345957, creator=13701087609, updateTime=1789692345957, updator=13701087609, issue=Issue{id=1307627726379184283, tenantId=1146029695717560320, journalId=1303687221787852879, year='2025', volume='45', issue='9', pageStart='F2', pageEnd='1292', issueExtLink='null', onlineDate='null', pubDate='1757865600000', pubDateStr='2025-09-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789692344517, creator='13701087609', updateTime=1789722185175, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1307752888286077869, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1307627726379184283, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1307752888286077870, tenantId=1146029695717560320, journalId=1303687221787852879, issueId=1307627726379184283, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1167, endPage=1179, ext={EN=ArticleExt(id=1307627732767105189, articleId=1307627732418977956, tenantId=1146029695717560320, journalId=1303687221787852879, language=EN, title=Identification and Genetic Analysis of FHB Resistant Cultivars (Lines) from Huang-Huai Wheat Area, columnId=1307627250845770215, journalTitle=Journal of Triticeae Crops, columnName=Genetics & Breedin, runingTitle=null, highlight=null, articleAbstract=

In order to clarify resistant genes distribution and genetic basis of scab resistant varieties (lines) from Huanghuai wheat region, single floret injection method, molecular markers and 55K SNP chips were used to evaluate scab resistance, detect gene components and analyze genetic diversity of 60 materials with relatively good resistance, which were evaluated from 515 white-grain wheat varieties (lines) in 2021-2022. Evaluation of Fusarium head blight (FHB) resistance showed that there were 1, 36, and 23 varieties (lines) exhibiting high resistance, moderate resistance and moderate susceptibility in 2022-2023, accounting for 1.7%, 60.0%, and 38.3% of total materials, respectively. In 2023-2024, 39 varieties (lines) were evaluated as moderate resistance and 21 varieties (lines) were moderate susceptibility, account for 65.0% and 35.0% of total, respectively. No varieties (lines) with high resistance were identified. From the perspective of two consecutive years, there were 33 and 17 varieties (lines) performed as moderate resistance and moderate susceptibility stably, accounting for 55.0% and 28.3% of total, respectively. The rest materials exhibited differences in different years, with the resistance level all in the middle of moderate resistance and moderate susceptibility. The results of gene molecular detection showed that there were 17, 4, 6, 3, 4, and 8 varieties (lines) carrying Fhb1, Fhb2, Fhb4, Fhb5, Fhb7, and Qfhs.crc-2DL, accounting for 28.3%, 6.7%, 10.0%, 5.0%, 6.7%, and 13.3% of total, respectively. In terms of multiple gene pyramiding, there were 7 varieties (lines) containing two genes, 4 varieties (lines) carrying three genes, and 1 pyramiding four genes, account for 11.7%, 6.7%, and 1.7% of total, respectively. Genetic diversity analysis showed that the genetic background of the tested materials was relatively narrow. The genetic distance between the representative varieties (lines) varied from 0.026 cM to 0.532 cM, and average distance was only 0.384 cM. These varieties (lines) can be grouped into five categories by clustering analysis, with 6, 4, 10, 3, and 37 varieties (lines) in each category, which generally conforms to the characteristics of regional origin and pedigree.

, authors=Yong ZHANG, Zibo YANG, Chang LIU, Yingying DU, Yangmei ZHOU, Anbang WANG, Zhengzhong GU, authorsList=Yong ZHANG, Zibo YANG, Chang LIU, Yingying DU, Yangmei ZHOU, Anbang WANG, Zhengzhong GU, authorCompany=null, correspAuthors=Yangmei ZHOU, 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=1307627733605965990, articleId=1307627732418977956, tenantId=1146029695717560320, journalId=1303687221787852879, language=CN, title=黄淮麦区小麦抗赤霉病品种(系)的鉴定和遗传分析, columnId=1305133119284212678, journalTitle=麦类作物学报, columnName=遗传育种, runingTitle=null, highlight=null, articleAbstract=

为明确黄淮麦区小麦抗赤霉病品种(系)抗病基因分布及其遗传基础,以2021-2022年度从515份黄淮麦区白皮小麦品种(系)中鉴定获得的60份赤霉病抗性较好的材料为研究对象,采用单花滴注法、分子标记检测及小麦55K SNP芯片技术分别对其赤霉病抗性、基因组成及遗传多样性进行了分析。赤霉病抗性鉴定结果显示,2022-2023年度高抗、中抗和中感材料分别有1、36和23份,占比分别为1.67%、60.0%和38.33%;2023-2024年度没有鉴定到高抗材料,而中抗和中感的材料分别有39和21份,占比分别为65.0%和35.0%。综合两个年度鉴定结果,抗性稳定表现为中抗及以上的材料有33份,占比为55.0%;稳定表现为中感的材料有17份,占比为28.3%;其余材料抗性在年度间存在差异,介于中抗和中感之间。经基因分子检测,供试材料中携带Fhb1、Fhb2、Fhb4、Fhb5、Fhb7和Qfhs.crc-2DL的材料分别有17、4、6、3、4和8份,占比分别为28.3%、6.7%、10.0%、5.0%、6.7%和13.3%;聚合两个基因、三个基因和三个以上基因的材料分别有7、4和1份,占比分别为11.7%、6.7%和1.7%。从遗传多样性看,供试材料间遗传基础较为狭窄,品种(系)间遗传距离为0.026~0.532 cM,平均遗传距离仅为0.384 cM。通过聚类分析将供试材料划分为五类,分别包含6、4、10、3和37份品种(系),聚类结果基本符合地域来源和系谱特征。

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黄淮麦区小麦抗赤霉病品种(系)的鉴定和遗传分析
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张勇 , 杨子博 , 刘畅 , 杜莹莹 , 周羊梅 , 王安邦 , 顾正中
麦类作物学报 | 遗传育种 2025,45(9): 1167-1179
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麦类作物学报 |遗传育种 2025 , 45 (9) : 1167 -1179
黄淮麦区小麦抗赤霉病品种(系)的鉴定和遗传分析
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张勇 , 杨子博, 刘畅, 杜莹莹, 周羊梅 , 王安邦, 顾正中
作者信息
  • 江苏徐淮地区淮阴农业科学研究所/淮安市农业生物技术重点实验室,江苏 淮安 223001
通讯作者:
E-mail: (周羊梅)
作者简介:

E-mail: (张勇)

Identification and Genetic Analysis of FHB Resistant Cultivars (Lines) from Huang-Huai Wheat Area
Yong ZHANG , Zibo YANG, Chang LIU, Yingying DU, Yangmei ZHOU , Anbang WANG, Zhengzhong GU
Affiliations
  • Huaiyin Institute of Agricultural Sciences in Xuhuai Region of Jiangsu Province/Huai’an Key Laboratory for Agricultural Biotechnology, Huai’an, Jiangsu 223001, China
出版时间: 2025-09-15 doi: 10.7606/j.issn.1009-1041.2025.09.03
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为明确黄淮麦区小麦抗赤霉病品种(系)抗病基因分布及其遗传基础,以2021-2022年度从515份黄淮麦区白皮小麦品种(系)中鉴定获得的60份赤霉病抗性较好的材料为研究对象,采用单花滴注法、分子标记检测及小麦55K SNP芯片技术分别对其赤霉病抗性、基因组成及遗传多样性进行了分析。赤霉病抗性鉴定结果显示,2022-2023年度高抗、中抗和中感材料分别有1、36和23份,占比分别为1.67%、60.0%和38.33%;2023-2024年度没有鉴定到高抗材料,而中抗和中感的材料分别有39和21份,占比分别为65.0%和35.0%。综合两个年度鉴定结果,抗性稳定表现为中抗及以上的材料有33份,占比为55.0%;稳定表现为中感的材料有17份,占比为28.3%;其余材料抗性在年度间存在差异,介于中抗和中感之间。经基因分子检测,供试材料中携带Fhb1、Fhb2、Fhb4、Fhb5、Fhb7和Qfhs.crc-2DL的材料分别有17、4、6、3、4和8份,占比分别为28.3%、6.7%、10.0%、5.0%、6.7%和13.3%;聚合两个基因、三个基因和三个以上基因的材料分别有7、4和1份,占比分别为11.7%、6.7%和1.7%。从遗传多样性看,供试材料间遗传基础较为狭窄,品种(系)间遗传距离为0.026~0.532 cM,平均遗传距离仅为0.384 cM。通过聚类分析将供试材料划分为五类,分别包含6、4、10、3和37份品种(系),聚类结果基本符合地域来源和系谱特征。

黄淮麦区  /  小麦  /  赤霉病  /  分子标记  /  遗传多样性

In order to clarify resistant genes distribution and genetic basis of scab resistant varieties (lines) from Huanghuai wheat region, single floret injection method, molecular markers and 55K SNP chips were used to evaluate scab resistance, detect gene components and analyze genetic diversity of 60 materials with relatively good resistance, which were evaluated from 515 white-grain wheat varieties (lines) in 2021-2022. Evaluation of Fusarium head blight (FHB) resistance showed that there were 1, 36, and 23 varieties (lines) exhibiting high resistance, moderate resistance and moderate susceptibility in 2022-2023, accounting for 1.7%, 60.0%, and 38.3% of total materials, respectively. In 2023-2024, 39 varieties (lines) were evaluated as moderate resistance and 21 varieties (lines) were moderate susceptibility, account for 65.0% and 35.0% of total, respectively. No varieties (lines) with high resistance were identified. From the perspective of two consecutive years, there were 33 and 17 varieties (lines) performed as moderate resistance and moderate susceptibility stably, accounting for 55.0% and 28.3% of total, respectively. The rest materials exhibited differences in different years, with the resistance level all in the middle of moderate resistance and moderate susceptibility. The results of gene molecular detection showed that there were 17, 4, 6, 3, 4, and 8 varieties (lines) carrying Fhb1, Fhb2, Fhb4, Fhb5, Fhb7, and Qfhs.crc-2DL, accounting for 28.3%, 6.7%, 10.0%, 5.0%, 6.7%, and 13.3% of total, respectively. In terms of multiple gene pyramiding, there were 7 varieties (lines) containing two genes, 4 varieties (lines) carrying three genes, and 1 pyramiding four genes, account for 11.7%, 6.7%, and 1.7% of total, respectively. Genetic diversity analysis showed that the genetic background of the tested materials was relatively narrow. The genetic distance between the representative varieties (lines) varied from 0.026 cM to 0.532 cM, and average distance was only 0.384 cM. These varieties (lines) can be grouped into five categories by clustering analysis, with 6, 4, 10, 3, and 37 varieties (lines) in each category, which generally conforms to the characteristics of regional origin and pedigree.

Huanghuai wheat area  /  Wheat  /  Scab resistance  /  Molecular marker  /  Genetic diversity
张勇, 杨子博, 刘畅, 杜莹莹, 周羊梅, 王安邦, 顾正中. 黄淮麦区小麦抗赤霉病品种(系)的鉴定和遗传分析. 麦类作物学报, 2025 , 45 (9) : 1167 -1179 . DOI: 10.7606/j.issn.1009-1041.2025.09.03
Yong ZHANG, Zibo YANG, Chang LIU, Yingying DU, Yangmei ZHOU, Anbang WANG, Zhengzhong GU. Identification and Genetic Analysis of FHB Resistant Cultivars (Lines) from Huang-Huai Wheat Area[J]. Journal of Triticeae Crops, 2025 , 45 (9) : 1167 -1179 . DOI: 10.7606/j.issn.1009-1041.2025.09.03
  • 淮安市自然科学研究计划项目(HABL202121)
  • 省重点研发计划(现代农业)子项目(BE2023363)
  • 江苏省种业振兴揭榜挂帅项目(JBGS(2021)013)
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doi: 10.7606/j.issn.1009-1041.2025.09.03
  • 接收时间:2024-09-06
  • 首发时间:2026-09-18
  • 出版时间:2025-09-15
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  • 收稿日期:2024-09-06
  • 修回日期:2024-10-23
基金
淮安市自然科学研究计划项目(HABL202121)
省重点研发计划(现代农业)子项目(BE2023363)
江苏省种业振兴揭榜挂帅项目(JBGS(2021)013)
作者信息
    江苏徐淮地区淮阴农业科学研究所/淮安市农业生物技术重点实验室,江苏 淮安 223001

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E-mail: (周羊梅)
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
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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