[关键词]
[摘要]
通过试验分析西北干旱半干旱区豌豆新品种选育引入不同遗传背景的优异基因,进一步提升豌豆育种水平,从而为西北干旱半干旱区豌豆生产提供品种支撑。为了解50份来自不同地区的豌豆种质资源农艺性状的遗传多样性,采用Shannon-Wiener's多样性指数和SPSS 21.0软件等,对50份供试豌豆种质资源的19个农艺性状进行了遗传多样性指数、变异系数、相关性分析、主成分分析和聚类分析。结果表明,株粒重和百粒重遗传多样性指数最高,为3.912;粒色的变异系数最高,为46.70%。相关性分析表明,13个农艺数量性状之间有相关性,且部分之间具有极显著的相关性;主成分分析将50份供试豌豆种质资源的13个农艺数量性状降维为累计贡献率达77.873% 的4个主成分;在欧式距离4处将参试豌豆种质资源分为5个类群,每个类群具有一定的性状优势。
[Key word]
[Abstract]
This study aimed to introduce excellent genes from different genetic backgrounds for pea breeding in the arid and semi-arid regions of Northwest China, thereby improving breeding levels and providing varietal support for pea production. To assess the genetic diversity of agronomic traits in 50 pea germplasm resources from different regions, Shannon-Wiener's diversity index and SPSS 21.0 software were used to analyze the genetic diversity index, coefficient of variation, correlation analysis, principal component analysis, and cluster analysis of 19 agronomic traits. Results showed that plant grain weight and hundred-grain weight had the highest genetic diversity index(3.912), while seed color had the highest coefficient of variation(46.70%). Correlation analysis showed that there was a correlation among the 13 quantitative traits with some showing highly significant correlations. Principal component analysis reduced the 13 agronomic quantitative traits of the 50 pea germplasm resources into 4 principal components, with a cumulative contribution rate of 77.873%. At an Euclidean distance of 4, the tested pea germplasm resources were classified into 5 groups, each possessing specific trait advantages.
[中图分类号]
S643.3
[基金项目]
国家食用豆产业技术体系(CARS-08);甘肃省科技计划项目(技术创新引导计划)(23CXNJ0005); 定西市科技计划专项(DX2024AZ06、DX2024BY021)。