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湖北省丝瓜地方资源的遗传多样性分析

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为对湖北省丝瓜地方资源进行初步鉴定,对湖北本地46份丝瓜种质资源的34个表型性状进行了遗传多样性分析。数量性状的平均变异系数为20。69%,其中瓜长的变异系数最大(35。41%),棱数变异系数最小(12。10%);质量性状的平均变异系数为31。66%,其中瓜斑纹色变异系数最大(65。78%),叶缘的变异系数最小(6。90%)。数量性状平均多样性信息指数为1。829,质量性状的平均多样性信息指数为0。686。相关性分析表明,部分性状间存在显著或极显著相关。叶片长与叶片宽、子叶宽相互之间呈极显著正相关;主蔓粗与叶片长和叶片宽、瓜肉厚与瓜横径呈极显著正相关。对46份丝瓜种质资源用DPS数据处理系统进行聚类分析和主成分分析,结果表明在欧式距离124。6处可以把46份丝瓜种质聚为3类。利用34个性状进行主成分分析,其中特征值大于1的前10个主成分累积贡献率达80。04%。研究结果可以为湖北省地方丝瓜资源的分类和有效利用提供参考。
Genetic diversity analysis of local luffa resources in Hubei province
In order to preliminarily identify the local resources of luffa in Hubei province,genetic diversity analysis was conducted on 34 phenotypic traits of 46 luffa germplasm resources collected from Hubei province.The average coeffi-cient of variation of quantitative traits was 20.69%,with the largest coefficient of variation for fruit length(35.41%)and the smallest coefficient of variation for the number of edges(12.10%).The average coefficient of variation of quality traits was 31.66%,with the largest coefficient of variation for fruit stripe color(65.78%)and the smallest coefficient of variation for leaf margin(6.90%).The average diversity information indices of quantitative and qualitative traits were 1.829 and 0.686,respectively.Correlation analysis showed that there was a significant or extremely significant correlation between some traits.There was extremely significant positive correlation between blade length,blade width and cotyle-don width.The thickness of the main vine was significantly positively correlated with the blade length and blade width,and the flesh thickness was significantly positively correlated with the fruit transverse diameter.Cluster analysis and prin-cipal component analysis were performed on 46 luffa germplasm resources using DPS data processing system.The results showed that the 46 luffa germplasms could be clustered into three categories at the European distance of 124.6.Through principal component analysis of 34 traits,the result showed that the cumulative contribution rate of the top 10 principal components with characteristic value greater than 1 was 80.04%.The findings of this study can provide a reference for the classification and effective utilization of local luffa resources in Hubei province.

LuffaCoefficient of variationDiversity information indexCluster analysisPrincipal component analysisCorrelation analysis

李庆珂、易丽聪、王运强、周伟、伍娜、徐劲松、戴照义

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长江大学农学院 湖北荆州 434000

蔬菜种质创新与遗传改良湖北省重点实验室 武汉 430064

湖北省农业科学院经济作物研究所 武汉 430064

丝瓜 变异系数 多样性信息指数 聚类分析 主成分分析 相关性分析

2024

中国瓜菜
中国农业科学院郑州果树研究所

中国瓜菜

北大核心
影响因子:0.452
ISSN:1673-2871
年,卷(期):2024.37(12)