基于特异性、一致性、稳定性测试的朱顶红品种资源遗传多样性分析OA
Genetic diversity analysis of Hippeastrum breed resources based on distinctness,uniformity,and stability testing
为给朱顶红属种质资源鉴定和育种策略制定提供科学依据,本研究综合采用主成分分析、相关分析和聚类分析,基于29 项表型性状对164 个朱顶红品种开展特异性、一致性、稳定性(DUS)测试.结果显示,个体测量性状的品种内变异系数为5.22%~15.57%,花:花梗长度的Shannon-Wiener 多样性指数最大,为1.90.在群体目测性状中,Shannon-Wiener多样性指数排前3 的依次为花:外花被片形状(1.865)、花:颜色分布(1.724)、花:内侧主色(1.705).从29 项表型性状中提取到8 个主成分,其累积贡献率为66.95%,在这8个主成分上载荷最大的因子分别为花:外花被片宽度、花柱:颜色、花:直径、花:花冠正面形状、花序:花数、花序梗:基部花青甙显色、花:外花被片形状、花:颜色分布.供试性状中,花:颜色分布、花:外花被片形状除了与少数性状具有极显著(p<0.01)相关性外,与其他大部分性状没有显著相关性.聚类分析将164 个品种分为3 个类群,分别包含78、65、21 个品种.
To provide a scientific basis for the identification of germplasm resources and the formulation of breeding strategies in the genus Hippeastrum,this study comprehensively employed principal component analysis(PCA),cor-relation analysis,and cluster analysis to conduct distinctness,uniformity,and stability(DUS)testing on 164 Hipp-eastrum cultivars based on 29 phenotypic traits.The results showed that the intraspecific coefficient of variation for the individual measurement traits ranged from 5.22%to 15.57%.Among all traits,the Shannon-Wiener diversity index of flower:pedicel length was the highest,reaching 1.90.For the group visual observation traits,the top three traits with the highest Shannon-Wiener diversity index were flower:shape of outer tepal(1.865),flower:color pat-tern(1.724),and flower:color of inner side(1.705).Eight principal components were extracted from the 29 traits,with a cumulative contribution rate of 66.95%.The factors with the highest loadings on these eight principal components were flower:width of outer tepal,pistil:color,flower:diameter,flower:shape in front view,inflores-cence:number of flowers,peduncle:anthocyanin coloration at base,flower:shape of outer tepal,flower:color pat-tern.Among the tested traits,flower:color pattern,flower:shape of outer tepal showed significant(p<0.01)cor-relations only with a few traits,while no significant correlations were observed with most other traits.The 164 culti-vars were classified into 3 groups,containing 78,65,and 21 cultivars respectively,by cluster analysis.
钟弘睿;曹建国;陈海荣;褚云霞;邓姗;张余;张永春;任丽;赵洪;章毅颖;刘昆
上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403||上海师范大学 生命科学学院,上海 200234上海师范大学 生命科学学院,上海 200234上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403||农业农村部植物新品种测试(上海)分中心,上海 201415上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403||农业农村部植物新品种测试(上海)分中心,上海 201415上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403||农业农村部植物新品种测试(上海)分中心,上海 201415上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403||农业农村部植物新品种测试(上海)分中心,上海 201415上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403||农业农村部植物新品种测试(上海)分中心,上海 201415上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403||农业农村部植物新品种测试(上海)分中心,上海 201415上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403||农业农村部植物新品种测试(上海)分中心,上海 201415上海市农业科学院 农产品质量标准与检测技术研究所,上海 201403||农业农村部植物新品种测试(上海)分中心,上海 201415
农业科技
朱顶红遗传多样性种质资源鉴定
Hippeastrumgenetic diversityidentification of germplasm resource
《浙江农业学报》 2026 (2)
258-268,11
上海市农业科学院质标所创新团队建设计划[zbcx(1-3)]
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