Article(id=1309575076169740937, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309575072856240766, articleNumber=null, orderNo=null, doi=10.11733/j.issn.1007-0435.2026.06.015, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1757001600000, receivedDateStr=2025-09-05, revisedDate=1761926400000, revisedDateStr=2025-11-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1790156628886, onlineDateStr=2026-09-23, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790156628886, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790156628886, creator=13701087609, updateTime=1790156628886, updator=13701087609, issue=Issue{id=1309575072856240766, tenantId=1146029695717560320, journalId=1308397196074385509, year='2026', volume='34', issue='6', pageStart='1963', pageEnd='2340', issueExtLink='null', onlineDate='null', pubDate='1781452800000', pubDateStr='2026-06-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790156628097, creator='13701087609', updateTime=1790156954064, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309576440438419817, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309575072856240766, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309576440438419818, tenantId=1146029695717560320, journalId=1308397196074385509, issueId=1309575072856240766, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=2118, endPage=2127, ext={EN=ArticleExt(id=1309575076513673867, articleId=1309575076169740937, tenantId=1146029695717560320, journalId=1308397196074385509, language=EN, title=Evaluation and Screening of Drought Tolerance Germplasm during the Seedling Stage of Oats Based on the Membership Function Method, columnId=null, journalTitle=Acta Agrestia Sinica, columnName=null, runingTitle=null, highlight=null, articleAbstract=The North and Northwest regions of China are major oat-producing areas. However o persistent drought stress there leads to significant yield losses of oat production. The identification of drought-resistant germplasm resources is therefore a core strategy for achieving stable and even enhanced oat production in these regions. In this study, 99 oat germplasm accessions were evaluated under simulated drought conditions using a 10% PEG-6000 solution, with Hoagland’s solution serving as the control. A total of 16 growth traits—including both aboveground and root parameters—were systematically measured at the seedling stage. Drought resistance was comprehensively assessed through membership function analysis, principal component analysis, and linear regression modeling. The results revealed a general decline in all measured traits under drought stress, with aboveground dry weight, total root length, root tip number, and root fork number showing particularly high sensitivity. Based on the integrated evaluation, the 99 oat accessions were classified into three drought-resistance categories, and ten highly drought-tolerant lines—including ZYC-101, ZYC-38, and AM-124—were identified. This work not only provides a theoretical foundation for stress-resilient oat breeding but also establishes a practical framework for the large-scale screening and utilization of drought-tolerant germplasm resources., authors=LIU Zhang1, YANG Miao2, GUO Jing-yu2, LIU Xin-yue3, ZHANG Wei-wei3, MA Ming-chuan1, ZHANG Xiao2, LIU Long-long1, authorsList=LIU Zhang, YANG Miao, GUO Jing-yu, LIU Xin-yue, ZHANG Wei-wei, MA Ming-chuan, ZHANG Xiao, LIU Long-long, authorCompany=1 Agricultural Gene Resources Research Center, Shanxi Agricultural University, Taiyuan, Shanxi Province 030031, China;
2 College of Biological Science and Technology, Taiyuan Normal University, Jinzhong, Shanxi Province 030619, China;
3 College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi Province 030801, China, correspAuthors=null, 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=1309575076446565002, articleId=1309575076169740937, tenantId=1146029695717560320, journalId=1308397196074385509, language=CN, title=基于隶属函数法的燕麦苗期耐旱性评价与种质筛选, columnId=1309565024058835950, journalTitle=草地学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=华北和西北地区作为我国燕麦(Avena sativa L.)主产区,长期受干旱胁迫制约,导致燕麦产量受损。筛选抗旱种质资源是实现该区域燕麦稳产增效的核心策略。本研究以99个燕麦种质为材料,采用10% PEG-6000溶液模拟干旱条件(以Hoagland溶液为对照),系统测定苗期地上部分与根系共16项生长指标,并基于隶属函数法、主成分分析等分析方法和线性回归模型,综合评价供试材料的抗旱性。结果表明,干旱胁迫下所有性状均呈下降趋势,其中地上部干重、总根长、根尖数和根分叉数对干旱响应尤为敏感。最终,本研究将99份燕麦种质划分为3个抗旱等级,筛选出ZYC-101,ZYC-38,AM-124等10个强耐旱种质,为燕麦抗逆育种提供了理论依据,也为抗旱种质资源的大规模筛选与利用奠定了应用基础。, authors=刘璋1, 杨淼2, 郭晶瑜2, 刘欣悦3, 张卫卫3, 马名川1, 张笑2, 刘龙龙1, authorsList=刘璋, 杨淼, 郭晶瑜, 刘欣悦, 张卫卫, 马名川, 张笑, 刘龙龙, authorCompany=1 山西农业大学农业基因资源研究中心, 山西 太原 030031;
2 太原师范学院生物科学与技术学院, 山西 晋中 030619;
3 山西农业大学农学院, 山西 晋中 030801, correspAuthors=null, authorNote=刘璋(1986-),男,汉族,内蒙古丰镇人,副研究员,硕士,主要从事燕麦遗传育种及栽培的研究,E-mail:liuzhang162@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=WdgF6zJ7HoTBBtOKXRgRhw==, pdfFileSize=2162316, 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=山西农业大学科技创新提升工程 (CXGC2023097); 国家燕麦荞麦产业技术体系 (CARS-07-A-2); 山西省重点研发计划项目 (2022ZDYF110))}, authors=null, keywords=[Keyword(id=1309575076643697292, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309575076169740937, language=CN, orderNo=1, keyword=燕麦), Keyword(id=1309575076702417549, tenantId=1146029695717560320, journalId=1308397196074385509, articleId=1309575076169740937, language=CN, orderNo=2, keyword=苗期), 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GHOLIZADEH A,DEHGHANI H,AKBARPOUR O,et al. Assessment of Iranian wheat germplasm for salinity tolerance using analysis of the membership function value of salinity tolerance (MFVS)[J]. Journal of Crop Science and Biotechnology,2022,25(5):611-619
ZHANG M X,BAI R,NAN M,et al. Evaluation of salt tolerance of oat cultivars and the mechanism of adaptation to salinity[J]. Journal of Plant Physiology,2022,273:153708
NABI S,HUSSAN S U,NABI T,et al. Bi-environmental evaluation of oat (Avena sativa L.) genotypes for yield and nutritional traits under cold stress conditions using multivariate analysis[J]. Plant Genetic Resources,2024,22(5):295-303
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HOWARTH C J,MARTINEZ-MARTIN P M J,COWAN A A,et al. Genotype and environment affect the grain quality and yield of winter oats (Avena sativa L.)[J]. Foods,2021,10(10):2356
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LEI T S. Identification and screening of drought resistance in wheat germplasm resources[D]. Yangling:Northwest A&F University,2025:56-68 雷庭澍. 小麦种质资源抗旱性鉴定及筛选[D]. 杨凌:西北农林科技大学,2025:56-68)
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草地学报 | 研究论文 2026,34(6): 2118-2127
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草地学报 |研究论文 2026 , 34 (6) : 2118 -2127
基于隶属函数法的燕麦苗期耐旱性评价与种质筛选
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刘璋1, 杨淼2, 郭晶瑜2, 刘欣悦3, 张卫卫3, 马名川1, 张笑2, 刘龙龙1
作者信息
    1 山西农业大学农业基因资源研究中心, 山西 太原 030031;
    2 太原师范学院生物科学与技术学院, 山西 晋中 030619;
    3 山西农业大学农学院, 山西 晋中 030801
作者简介:
刘璋(1986-),男,汉族,内蒙古丰镇人,副研究员,硕士,主要从事燕麦遗传育种及栽培的研究,E-mail:liuzhang162@163.com
Evaluation and Screening of Drought Tolerance Germplasm during the Seedling Stage of Oats Based on the Membership Function Method
  • LIU Zhang1, YANG Miao2, GUO Jing-yu2, LIU Xin-yue3, ZHANG Wei-wei3, MA Ming-chuan1, ZHANG Xiao2, LIU Long-long1
  • Affiliations
      1 Agricultural Gene Resources Research Center, Shanxi Agricultural University, Taiyuan, Shanxi Province 030031, China;
      2 College of Biological Science and Technology, Taiyuan Normal University, Jinzhong, Shanxi Province 030619, China;
      3 College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi Province 030801, China
    doi: 10.11733/j.issn.1007-0435.2026.06.015
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    华北和西北地区作为我国燕麦(Avena sativa L.)主产区,长期受干旱胁迫制约,导致燕麦产量受损。筛选抗旱种质资源是实现该区域燕麦稳产增效的核心策略。本研究以99个燕麦种质为材料,采用10% PEG-6000溶液模拟干旱条件(以Hoagland溶液为对照),系统测定苗期地上部分与根系共16项生长指标,并基于隶属函数法、主成分分析等分析方法和线性回归模型,综合评价供试材料的抗旱性。结果表明,干旱胁迫下所有性状均呈下降趋势,其中地上部干重、总根长、根尖数和根分叉数对干旱响应尤为敏感。最终,本研究将99份燕麦种质划分为3个抗旱等级,筛选出ZYC-101,ZYC-38,AM-124等10个强耐旱种质,为燕麦抗逆育种提供了理论依据,也为抗旱种质资源的大规模筛选与利用奠定了应用基础。
    燕麦  /  苗期  /  耐旱性  /  种质评价
    The North and Northwest regions of China are major oat-producing areas. However o persistent drought stress there leads to significant yield losses of oat production. The identification of drought-resistant germplasm resources is therefore a core strategy for achieving stable and even enhanced oat production in these regions. In this study, 99 oat germplasm accessions were evaluated under simulated drought conditions using a 10% PEG-6000 solution, with Hoagland’s solution serving as the control. A total of 16 growth traits—including both aboveground and root parameters—were systematically measured at the seedling stage. Drought resistance was comprehensively assessed through membership function analysis, principal component analysis, and linear regression modeling. The results revealed a general decline in all measured traits under drought stress, with aboveground dry weight, total root length, root tip number, and root fork number showing particularly high sensitivity. Based on the integrated evaluation, the 99 oat accessions were classified into three drought-resistance categories, and ten highly drought-tolerant lines—including ZYC-101, ZYC-38, and AM-124—were identified. This work not only provides a theoretical foundation for stress-resilient oat breeding but also establishes a practical framework for the large-scale screening and utilization of drought-tolerant germplasm resources.
    Oat  /  Seedling stage  /  Drought tolerance  /  Germplasm evaluation
    刘璋, 杨淼, 郭晶瑜, 刘欣悦, 张卫卫, 马名川, 张笑, 刘龙龙. 基于隶属函数法的燕麦苗期耐旱性评价与种质筛选. 草地学报, 2026 , 34 (6) : 2118 -2127 . DOI: 10.11733/j.issn.1007-0435.2026.06.015
    LIU Zhang, YANG Miao, GUO Jing-yu, LIU Xin-yue, ZHANG Wei-wei, MA Ming-chuan, ZHANG Xiao, LIU Long-long. Evaluation and Screening of Drought Tolerance Germplasm during the Seedling Stage of Oats Based on the Membership Function Method[J]. Acta Agrestia Sinica, 2026 , 34 (6) : 2118 -2127 . DOI: 10.11733/j.issn.1007-0435.2026.06.015

      山西农业大学科技创新提升工程 (CXGC2023097); 国家燕麦荞麦产业技术体系 (CARS-07-A-2); 山西省重点研发计划项目 (2022ZDYF110)

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    doi: 10.11733/j.issn.1007-0435.2026.06.015
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    2种不同金属材料的力学参数
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    占总种数比例
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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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