长豇豆营养成分及其遗传和相关性分析
作者:
作者单位:

江汉大学生命科学学院 / 湖北省豆类(蔬菜)植物工程技术研究中心 / 湖北省食用豆类自然科技资源中心,武汉430056

作者简介:

研究方向为遗传学,E-mail: 1282668869@qq.com

通讯作者:

陈禅友,研究方向为植物资源与遗传育种,E-mail: ccy@jhun.edu.cn

中图分类号:

基金项目:

湖北省技术创新专项(重大项目)(2017ABA147)


Genetic and Correlation Analysis of Asparagus Bean Nutrient Composition
Author:
Affiliation:

School of Life Sciences,Jianghan University/Hubei Province Engineering Research Center for Legume Plants/ Hubei Province Natural Science Resource Center of Edible Legume, Wuhan 430056

Fund Project:

Foundation project: Hubei Province Technology Innovation Project (Major Program) (2017ABA147)

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    摘要:

    为了筛选长豇豆优良种质和促进品质遗传改良,本研究以243份长豇豆品种为试验材料,采取裂区(品种+年份)试验设计方法,系统测定了豆荚的28个品质性状,估算了性状遗传力并作品质综合评价。结果表明:28个营养品质性状的变异系数变幅为10.34%~66.41%,方差分析表明品种间多数性状差异极显著,基于特征数据绘制了长豇豆主要营养成分表。维生素C和干物质含量等16个性状的广义遗传力达80%以上,亮氨酸和甲硫氨酸含量的广义遗传力低于40%。两两性状间有98对达极显著相关水平,氨基酸组分之间的关联性强。聚类分析可将243个品种分为5个类群,42%的品种聚集在Ⅱ类群,代表着长豇豆的基准水平,Ⅰ、Ⅲ和Ⅴ类群分别表现出糖类、氨基酸和类黄酮含量较高的特征,个别性状极端的品种离散分布在Ⅳ类群。主成分分析表明28个性状可转化为9个主成分,其累计贡献率为65.07%,根据综合得分筛选出24份优异种质。本研究有利于长豇豆品质的数据挖掘、种质挖掘、基因挖掘和深度品质遗传改良。

    Abstract:

    In order to identify elite germplasm resource of asparagus bean applicable for genetic improvement, 243 representative asparagus bean varieties were cultivated following the split area (variety + year) test design method, followed by quantifying 28 quality characters of the pods. The heritability of the characters, correlation analysis, cluster analysis and principal component analysis were further performed. The results showed that the variation coefficients of 28 quality traits ranged from 10.34% to 66.41%. The analysis of variance illustrated that there were significant differences among varieties at most traits. Based on their characteristic data, the composition of main nutrient components in asparagus bean was listed. The broad heritability of 16 traits such as vitamin C and dry matter content was more than 80%, while that of leucine, methionine content was less than 40%. There were 98 significant correlation coefficients in a manner of pairwise comparisons, and there was a strong correlation between all amino acid components. 243 varieties were classified into five groups by cluster analysis. 42% of the varieties were clustered in group II, representing the benchmark level of asparagus bean. Group I, III and Ⅴ showed high content of sugar, amino acid and flavonoid, respectively. The varieties with extreme individual traits were scattered in group IV. Principal component analysis demonstrated that 28 traits could be transformed into nine principal components, with a cumulative contribution rate of 65%. Twenty-four elite germplasms were identified according to the comprehensive score. Collectively, this study enriched our understanding of the nutrient quality characteristics of asparagus valuable for its genetic improvement in future.

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屈雪华,邵景杰,严牧,等.长豇豆营养成分及其遗传和相关性分析[J].植物遗传资源学报,2023,24(4):1034-1045.

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  • 收稿日期:2023-01-04
  • 最后修改日期:2023-02-01
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  • 在线发布日期: 2023-06-13
  • 出版日期: 2023-06-14
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