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, 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In vitro screening of potato lines for drought tolerance[J]. Physiology and Molecular Biology of Plants,2012,18(4):315-321 MARSHALL A,COWAN S,EDWARDS S,et al. Crops that feed the world 9. Oats-a cereal crop for human and livestock feed with industrial applications[J]. Food Security,2013,5(1):13-33 ZHAO G Q,JU Z L,CHAI J K,et al. Effects of silage additives and varieties on fermentation quality,aerobic stability,and nutritive value of oat silage[J]. Journal of Animal Science,2018,96(8):3151-3160 GONG W L,JU Z L,CHAI J K,et al. Physiological and transcription analyses reveal the regulatory mechanism in oat (Avena sativa) seedlings with different drought resistance under PEG-induced drought stress[J]. Agronomy,2022,12(5):1005 GONG Z Z,XIONG L M,SHI H Z,et al. Plant abiotic stress response and nutrient use efficiency[J]. Science China Life Sciences,2020,63(5):635-674 SINGH P,TOMAR M,SINGH A K,et al. Oat (Avena sativa) [M]. England: CRC Press,2024:47-68 WEN G Q,MA B L,SHI Y C,et al. 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Plant Genetic Resources,2024,22(5):295-303 BROWN C E. Applied multivariate statistics in geohydrology and related sciences[M]. Berlin:Springer,1998:155-157 SIO-SE MARDEH A,AHMADI A,POUSTINI K,et al. Evaluation of drought resistance indices under various environmental conditions[J]. Field Crops Research,2006,98(2/3):222-229 YOUSAF H,ISHFAQ M,ZAFAR A,et al. Drought stress[M]. Cham:Springer Nature Switzerland,2025:199-219 ISIDRO-SÁNCHEZ J,PRATS E,HOWARTH C,et al. Genomic designing of climate-smart cereal crops[M]. Cham:Springer International Publishing,2020:133-169 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 KOU X Y,HAN W H,KANG J. Responses of root system architecture to water stress at multiple levels: A meta-analysis of trials under controlled conditions[J]. Frontiers in Plant Science,2022,13:1085409 WU F Z,BAO W K,LI F L,et al. Effects of drought stress and N supply on the growth,biomass partitioning and water-use efficiency of Sophora davidii seedlings[J]. Environmental and Experimental Botany,2008,63(1/2/3):248-255 HUANG Y,WENG X L,TRAYE I D,et al. Screening and evaluation of drought-tolerant wheat germplasms based on main morphological indices at germination and seedling stages[J]. Jiangsu Agricultural Sciences,2025,53(14):106-116 黄钰,翁雪莲,TRAYE I D,等. 基于萌发期和苗期主要形态指标的耐旱小麦种质筛选与评价[J]. 江苏农业科学,2025,53(14):106-116 BAI Y J,ZHAO R,CUI S L,et al. Classification and Identification of drought resistance of different genotypes of peanut[J]. Acta Agriculturae Boreali-Sinica,2025,40(4):107-118 白宇捷,赵然,崔顺立,等. 不同基因型花生抗旱性分级及鉴定[J]. 华北农学报,2025,40(4):107-118 YANG L L,NAN L L,WANG Y,et al. Screening and evaluation of drought resistance of alfalfa germplasm at seedling stage[J]. Grassland and Turf, 2024:1-18 杨丽丽,南丽丽,王永,等. 苜蓿种质苗期抗旱性评价及筛选[J].草原与草坪,2024:1-18 AHMAD ANJUM S,ASHRAF U,ZOHAIB A,et al. Growth and development responses of crop plants under drought stress: a review[J]. Zemdirbyste-Agriculture,2017,104(3):267-276 MUELLER L,BEHRENDT A,SCHALITZ G,et al. Above ground biomass and water use efficiency of crops at shallow water tables in a temperate climate[J]. Agricultural Water Management,2005,75(2):117-136 BELAY G A,ZHANG Z B,XU P. Physio-morphological and biochemical trait-based evaluation of Ethiopian and Chinese wheat germplasm for drought tolerance at the seedling stage[J]. Sustainability,2021,13(9):4605 HRYHORIV Y Y,BUTENKO A O,KOVALENKO V M,et al. Productivity of oat (Avena sativa L.) with different methods of cultivation on soddy–podzolic soils[J]. Ama-Agricultural Mechanization in Asia Africa and Latin America,2021(51):1793-1799 GHIMIRE K,MCINTYRE I,CAFFE M. Evaluation of morpho-physiological traits of oat (Avena sativa L.) under drought stress[J]. Agriculture,2024,14(1):109 WANG L,DENG J,ZHANG Z,et al. Identification and evaluation of drought tolerant germplasm resources at seedling stage of maize under PEG stress[J]. Crops,2024(4):43-53 王璐,邓杰,张泽,等. PEG胁迫下玉米苗期耐旱种质资源鉴定与评价[J]. 作物杂志,2024(4):43-53 JIN Y K,WEI Z M,CHENG Y,et al. Screening and transcriptome analysis of drought resistance in different Cyperus esculentus L. germplasm at the seedling stage[J/OL]. https://doi:org/10.13327/j.jjlau.2024.0027,2025-08-29/2025-09-04 金羽琨,魏尊苗,程艳,等. 不同油莎豆种质资源苗期抗旱性的筛选与转录组分析[J/OL]. https://doi:org/10.13327/j.jjlau.2024.0027,2025-08-29/2025-09-04 CAO F Y,YUAN C L,LIU Y L,et al. Drought resistance identification of peanut germplasm resources at seedling stage[J]. Journal of Peanut Science,2024,53(4):88-99 曹凤岩,苑翠玲,刘玉龙,等. 花生种质资源苗期抗旱性鉴定[J]. 花生学报,2024,53(4):88-99 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)
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
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.
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
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