Article(id=1322924334817358074, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924314793750542, articleNumber=null, orderNo=null, doi=10.14067/j.cnki.1673-923x.2026.10.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1755360000000, receivedDateStr=2025-08-17, revisedDate=1760889600000, revisedDateStr=2025-10-20, acceptedDate=null, acceptedDateStr=null, onlineDate=1793339340166, onlineDateStr=2026-10-30, pubDate=1792857600000, pubDateStr=2026-10-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793339340166, onlineIssueDateStr=2026-10-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793339340166, creator=13701087609, updateTime=1793339340166, updator=13701087609, issue=Issue{id=1322924314793750542, tenantId=1146029695717560320, journalId=1322258771877134531, year='2026', volume='46', issue='10', pageStart='1', pageEnd='256', issueExtLink='null', onlineDate='null', pubDate='1792857600000', pubDateStr='2026-10-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1793339335392, creator='13701087609', updateTime=1793344604640, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322946415693017274, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924314793750542, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322946415693017275, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924314793750542, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=72, endPage=81, ext={EN=ArticleExt(id=1322924334989324539, articleId=1322924334817358074, tenantId=1146029695717560320, journalId=1322258771877134531, language=EN, title=Comprehensive evaluation of anatomical structure and photosynthetic characteristics of leaves from five superior
Camellia oleifera lines, columnId=null, journalTitle=Journal of Central South University of Forestry & Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=
【Objective】 Correlation analysis and comprehensive evaluation were conducted on leaf anatomical structure and photosynthetic characteristics of five Camellia oleifera superior lines, and the relationship between leaf anatomical structure and photosynthetic capacity of five Camellia oleifera superior lines was explored, and the superior lines with the best photosynthetic characteristics were screened, so as to provide scientific basis for subsequent breeding, cultivation and popularization.
【Method】 By artificial cross pollination between ‘Sanhua’ and ‘Xianglin 210’, five superior lines of Camellia oleifera were selected, namely ‘Huashi’ (‘Huashuo’ × ‘Huajin’), ‘Huazeng’ (‘Huajin’ × ‘Xianglin210’), ‘Huatuo’(‘Huajin’ × ‘Xianglin210’), ‘Huafeng’ (‘Huashuo’ × ‘Huaxin’) and ‘Huaping’ (‘Huajin’ × ‘Huaxin’). The chlorophyll content, stomatal characteristics, leaf anatomical structure and photosynthetic characteristics of the five superior lines were determined. Finally, correlation analysis and principal component analysis were used to analyze the five superior lines of Camellia oleifera.
【Result】 It was found that ‘Huatuo’ had the highest leaf shape index, ‘Huashi’ had the largest leaf area, and the total chlorophyll content (10.06 mg·g-1) was significantly higher than that of the other four superior lines of Camellia oleifera. ‘Huafeng’ had the best stomatal density (10.80/mm2), and the upper epidermis thickness of ‘Huazeng’ was the largest. However, the leaf thickness (523.23 μm), spongy tissue thickness (288.22 μm), palisade tissue thickness (171.40 μm) and transpiration rate of ‘Huaping’ were higher than those of the other four superior lines of Camellia oleifera. Correlation analysis showed that the net photosynthetic rate of leaves is negatively correlated with the thickness of palisade tissue and the ratio of palisade to leaf, and positively correlated with the thickness of leaves, the thickness of the upper and lower epidermis and TRPS. Principal component analysis showed that the cumulative contribution rate of four principal components extracted from 10 leaf traits reached 85.530%, among which the first, second, third and fourth principal components reflected 29.422%, 27.329%, 18.203% and 10.576% of the original data information, respectively, which could fully reflect the leaf anatomical structure and photosynthetic characteristics of Camellia oleifera superior lines. Based on the principal component analysis method, the comprehensive score of each superior line is calculated, and the order is ‘Huaping’, ‘Huatuo’, ‘Huafeng’, ‘Huazeng’ and ‘Huashi’ according to the comprehensive score from high to low.
【Conclusion】 This study revealed the relationship between leaf anatomical structure and photosynthetic characteristics of superior lines of Camellia oleifera, and screened the superior line ‘Huaping’ with the best photosynthetic characteristics, which provided an important reference for the breeding of improved varieties of Camellia oleifera. Future research should further combine multi-trait comprehensive evaluation and consider the influence of environmental conditions to improve the comprehensiveness and reliability of the research.
, authors=Yujie Zhu
1, Ting Chen
1, Jianjun Lu
2, Dan Mao
3, Deyi Yuan
1, Xiaoming Fan
1, authorsList=Yujie Zhu, Ting Chen, Jianjun Lu, Dan Mao, Deyi Yuan, Xiaoming Fan, authorCompany=null, correspAuthors=Xiaoming Fan, authorNote=null, correspAuthorsNote=null, copyrightStatement=© 2026 Journal of Central South University of Forestry & Technology, copyrightOwner=Journal of Central South University of Forestry & Technology, 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=1322924335429726460, articleId=1322924334817358074, tenantId=1146029695717560320, journalId=1322258771877134531, language=CN, title=5个油茶优系叶片解剖结构及光合特性综合评价, columnId=1322924153761837409, journalTitle=中南林业科技大学学报, columnName=林学, runingTitle=null, highlight=null, articleAbstract=
【目的】 对5个油茶优系叶片解剖结构和光合特性进行相关性分析及综合评价，探究5个油茶优系叶片解剖结构与光合能力的关系，筛选出光合特性表现最佳的优系，为后续选育良种、栽培推广提供科学依据。
【方法】 将“三华”与‘湘林210’进行人工杂交授粉，选出5个表现较好的油茶优系‘华实’（‘华硕’ב华金’）、‘华增’（‘华金’ב湘林210’）、‘华坨’（‘华金’ב湘林210’）、‘华丰’（‘华硕’ב华鑫’）、‘华苹’（‘华金’ב华鑫’），测定5个油茶优系的叶绿素含量、气孔特性、叶片解剖结构及光合特性等指标，最后运用相关性分析和主成分分析法对5个油茶优系进行评价。
【结果】 研究发现，‘华坨’的叶形指数最高，‘华实’的叶面积最大、叶绿素总量（10.06 mg·g-1）显著高于其他4个油茶优系，‘华丰’的气孔密度表现最优（10.80个/mm2），‘华增’上表皮厚度最大，而‘华苹’的叶片厚度（523.23 μm）、海绵组织厚度（288.22 μm）、栅栏组织厚度（171.40 μm）以及蒸腾速率均高于其他4个油茶优系。相关性分析显示，叶片的净光合速率与栅栏组织厚度和栅叶比均存在负相关关系，净光合速率与叶厚、上下表皮厚度和TRPS存在正相关关系。主成分分析表明，从10个叶性状指标中提取的4个主成分累计贡献率达85.530%，其中第一、二、三、四主成分分别反映原始数据信息量的29.422%、27.329%、18.203%、10.576%，能够全面反映油茶优系的叶片解剖结构和光合特性。基于主成分分析法算出各优系综合得分，根据综合得分由高到低排序依次为‘华苹’、‘华坨’、‘华丰’、‘华增’、‘华实’。
【结论】 本研究揭示了油茶优系叶片解剖结构与光合特性的关联，并筛选出光合特性表现最佳的优系‘华苹’，为油茶良种选育提供了重要参考。未来研究应进一步结合多性状综合评价，并考虑环境条件的影响，以提升研究的全面性和可靠性。
, authors=朱宇杰
1, 陈婷
1, 鲁建军
2, 毛丹
3, 袁德义
1, 范晓明
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朱宇杰（zzhuyujie@qq.com），硕士研究生。
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1.a. Key Laboratory of Cultivation and Protection for Non-wood Forest Trees, Ministry of Education; b. Hunan Key Laboratory of Colleges and Universities of Oil-tea Breeding, Central South University of Forestry & Technology, Changsha 410004, Hunan, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322924336260198671, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, authorId=1322924336113398028, language=CN, stringName=陈婷, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.中南林业科技大学 a. 经济林培育与保护教育部重点实验室；b. 油茶育种湖南省高等学校重点实验室，湖南 长沙 410004, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1322924335643635965, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, xref=1., ext=[AuthorCompanyExt(id=1322924335652024574, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, companyId=1322924335643635965, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.a. Key Laboratory of Cultivation and Protection for Non-wood Forest Trees, Ministry of Education; b. Hunan Key Laboratory of Colleges and Universities of Oil-tea Breeding, Central South University of Forestry & Technology, Changsha 410004, Hunan, China), AuthorCompanyExt(id=1322924335660413183, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, companyId=1322924335643635965, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.中南林业科技大学 a. 经济林培育与保护教育部重点实验室；b. 油茶育种湖南省高等学校重点实验室，湖南 长沙 410004)])]), Author(id=1322924336335696146, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, orderNo=2, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322924336440553748, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, authorId=1322924336335696146, language=EN, stringName=Jianjun Lu, firstName=Jianjun, middleName=null, lastName=Lu, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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2.Changsha Forest Seedling Management Station, Changsha 410339, Hunan, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322924336524439829, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, authorId=1322924336335696146, language=CN, stringName=鲁建军, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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2.长沙市林木种苗管理站，湖南 长沙 410339, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1322924335723327744, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, xref=2., ext=[AuthorCompanyExt(id=1322924335731716353, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, companyId=1322924335723327744, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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3.State-owned Forest and Seedling Workstation of Hunan Province, Changsha 410007, Hunan, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322924336763515162, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, authorId=1322924336604131607, language=CN, stringName=毛丹, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1, address=
1.a. Key Laboratory of Cultivation and Protection for Non-wood Forest Trees, Ministry of Education; b. Hunan Key Laboratory of Colleges and Universities of Oil-tea Breeding, Central South University of Forestry & Technology, Changsha 410004, Hunan, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322924337019367711, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322924334817358074, authorId=1322924336851595548, language=CN, stringName=袁德义, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, address=
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