1.海南大学热带农林学院/海南省热带特色林木花卉遗传与种质创新教育部重点实验室,海口 570228;2.棕榈生态城镇发展股份有限公司,郑州 450000;3.中国林业科学研究院亚热带林业实验中心,江西新余336600
研究方向为园林植物种质资源与遗传育种,E-mail: 3516529226@qq.com
王亚玲,研究方向为木兰科植物育种及应用推广,E-mail: 996216@hainanu.edu.cn
海南省重点研发项目( ZDYF2025XDNY071);国家林业和草原局林业科技发展项目(KJZXZF2019003);陕西省科学技术厅创新人才推进计划-科技创新团队项目(2021TD-33)
1.College of Tropical Agriculture and Forestry, Hainan University/Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forests and Flowers of Ministry of Education, Hainan Province, Haikou 570228;2.Palm Eco-Town Development Co., Ltd., Zhengzhou 450000;3.Experimental Center of Subtropical Forestry, Chinese Academy of Forestry, Xinyu 336600, Jiangxi
Foundation projects: Hainan Provincial Key R&D Program (ZDYF2025XDNY071); National Forestry and Grassland Administration Forestry Science and Technology Development Project (KJZXZF2019003); Shaanxi Provincial Department of Science and Technology Innovation Talent Promotion Plan—Science and Technology Innovation Team Project (2021TD-33)
通过综合评价玉兰属品种资源的表型多样性特征,揭示其性状变异规律,建立兼具科学性和实用性的评价体系,筛选综合性状优良的品种,为玉兰属种质创新与定向选育提供理论依据。以66份玉兰属品种资源为研究对象,测定其37个表型性状,采用变异系数、多样性指数、主成分分析、隶属函数法及聚类分析等多元统计方法,对玉兰属品种资源进行表型多样性分析和综合评价。结果表明,66份玉兰属品种资源的质量性状及假质量性状的多样性指数为0.36~2.15,数量性状变异系数为8.20%~30.02%;10个数量性状间的45对性状组合中,42对的相关性达到显著或极显著,叶片长度与叶片宽度呈极显著正相关,而花被片数量与叶片长度呈极显著负相关。主成分分析显示,前4个主成分分别代表营养器官整体生长、花部相对大小、花部结构、花梗发育,其累计贡献率达88.446%,可解释大部分表型变异,表明花部与株型性状是品种鉴别的关键性状。隶属函数法分析表明66份玉兰属品种资源的F值范围为-1.97~2.40,筛选出弗兰克杰作、赫尔默和星球大战等10个综合性状优异的玉兰属品种。聚类分析将玉兰属数量性状和品种资源分别聚为3类,R型聚类结果直观展示了不同数量性状指标之间的关联性,与相关性分析结果一致;Q型聚类结果将品种分为3类,第Ⅰ类为大花乔木型,占比63.64%,第Ⅱ类为过渡类型,占比18.18%,第Ⅲ类为小花紧凑型,占比18.18%。本研究可为玉兰属品种科学评价、高效利用提供依据与方法。
This study aims to evaluate the phenotypic diversity of Yulania cultivar resources through a comprehensive evaluation of their phenotypic diversity characteristics, establish a practical evaluation system, identify elite cultivars with superior comprehensive traits, and provide a theoretical basis for germplasm enhancement and targeted breeding. Sixty-six Yulania cultivars were used to examine 37 phenotypic traits. Phenotypic diversity and comprehensive evaluation were conducted using multiple statistical methods, including the coefficient of variation, diversity index, principal component analysis, membership function method, and cluster analysis. The results indicated a range of diversity indices (0.36 to 2.15) among qualitative traits and pseudo-qualitative traits, and coefficients of variation (8.20% to 30.02%) among quantitative traits. Correlation analysis of 10 quantitative traits revealed 42 pairs with significant (P<0.05) or extremely significant (P<0.01) correlations out of 45 combinations. For example, leaf length was significantly positively correlated with leaf width but significantly negatively correlated with tepal number. Principal component analysis extracted four principal components, including overall growth of vegetative organs, relative flower size, floral structure, and pedicel development, collectively accounted for 88.446% of the cumulative variance. This suggests that floral and plant architecture traits are key diagnostic indicators. Using the membership function method, the F-values of the 66 Yulania cultivar resources ranged from -1.97 to 2.40. Ten cultivars with outstanding comprehensive traits, including Frank's Masterpiece, Helmer, and Star Wars. Cluster analysis categorized the quantitative traits and cultivar resources into three distinct groups each. The R-type clustering results visually demonstrated trait associations, aligning with the correlation analysis. Q-type clustering divided the cultivars into three categories: Group I, comprising large-flowered arboreal types (63.64%); Group II, comprising transitional types (18.18%); and Group III, comprising small-flowered compact types (18.18%). This study provides a basis and methodology for the systematic evaluation and efficient utilization of Yulania cultivar resources.
李玉萍,王晶,秦梦瑶,等.玉兰属品种资源表型多样性分析[J].植物遗传资源学报,2026,27(2):359-372.
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