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首页 > 过刊浏览>年第0卷第8期 > 优先出版
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贵州348份紫苏种质资源表型遗传多样性分析及综合评价
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贵州省油料研究所

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贵州省农业科学院青年基金项目(黔农科青年基金[2023]13号);国家自然科学基金项目(32160097);贵州省科技计划项目(黔科合服企[2023]006);中央引导地方科技发展基金(黔科中引地[2020]4012号)


Analysis and Comprehensive Evaluation of Phenotypic Genetic Diversity of 348 Accessions of Perilla frutescens Germplasm Resources in Guizhou Province
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The Youth Fund Project of Guizhou Academy of Agricultural Sciences (Qian Nong Ke Qing Nian Ji Jin [2023] 13); The National Natural Science Foundation of China (32160097); The Science and Technology Plan Project of Guizhou Province (Qian Ke He Fu Qi [2023] No. 006); The Central Guidance Fund for Local Science and Technology Development (Qian Ke Zhong Yin Di [2020] 4012)

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    摘要:

    本研究旨在探究贵州不同地方紫苏种质资源数量性状之间关联性,为挖掘优异紫苏种质资源提供理论依据。通过遗传多样性、相关性、主成分、聚类分析和综合评分等5种方法对348份紫苏种质资源15个主要数量性状进行分析及评价。结果表明,15个性状变异系数范围为4.44%~56.70%,其中,单株籽粒重和单株总穗数的变异系数较高,分别是56.70%和53.30%,遗传多样性指数范围为0.99~2.01,其中,单株籽粒重、株高和主茎节数的遗传多样性指数较高,分别是2.01、1.85和1.77。相关性分析表明,15个性状之间存在着52对显著或极显著相关关系,其中,单株籽粒重与株高、茎粗、主茎节数、单株总穗数和硬脂酸呈显著正相关关系,与含油量、生育期呈极显著正相关关系。主成分分析提取出6个主成分,贡献率依次为19.14%、14.03%、11.10%、9.24%、8.53%和7.46%,累计贡献率达69.50%。聚类分析将348份紫苏种质分为四个类群,各类群特征鲜明,其中类群Ⅱ综合表现优异,可被视为紫苏育种中优质亲本候选材料。基于综合F值评估,筛选到F值≥1综合性状优异的15份紫苏种质资源。本研究揭示了贵州348份紫苏种质资源具有丰富的表型遗传变异及多样性,明确各类群资源育种利用方向,筛选出13份特异种质资源,可为紫苏精准高效育种及优异基因深度挖掘提供材料基础。

    Abstract:

    This study aims to explore the correlations among quantitative traits of Perilla germplasm resources in different regions of Guizhou, providing a theoretical basis for identifying superior Perilla germplasm resources. Analysis and evaluation of 348 Perilla germplasm resources with respect to 15 major quantitative traits were conducted using five methods: genetic diversity, correlation, principal component, cluster analysis, and comprehensive scoring. The results show that the coefficients of variation for 15 traits ranged from 4.44% to 56.70%, among which the coefficients of variation for single-plant grain weight and total spike number per plant were relatively high, at 56.70% and 53.30%, respectively. The range of the genetic diversity index is 0.99 to 2.01, among which the genetic diversity index of single grain weight, plant height, and main stem node number is relatively high, being 2.01, 1.85, and 1.77, respectively. Correlation analysis indicates that there are 52 significant or highly significant correlations among the 15 traits. The single grain weight per plant is significantly positively correlated with plant height, stem thickness, number of main stem nodes, total number of ears per plant, and stearic acid and is extremely significantly positively correlated with oil content and growth period. Principal component analysis extracted six principal components, with contribution rates of 19.14%, 14.03%, 11.10%, 9.24%, 8.53%, and 7.46%, respectively, and a cumulative contribution rate of 69.50%. Cluster analysis classified 348 perilla germplasm samples into four groups, each with distinct characteristics. Among them, Group II showed excellent overall performance and can be considered a candidate material for high-quality parent selection in perilla breeding. Based on the comprehensive F-value evaluation, 15 perilla germplasm resources with F values ≥1 and excellent comprehensive traits were selected. This study revealed that 348 Perilla germplasm resources from Guizhou have rich phenotypic genetic variation and diversity, and 13 specific germplasm resources were selected, which can provide a basis for precise and efficient breeding of Perilla and in-depth exploration of excellent genes.

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  • 收稿日期:2026-02-04
  • 最后修改日期:2026-04-17
  • 录用日期:2026-04-22
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