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963份世界甘蓝型油菜种质资源的表型变异分析

郭文慧 周虹宇 张梓 王瑞森 姚祥坦 蒋立希

浙江大学学报(农业与生命科学版)2025,Vol.51Issue(2):240-251,12.
浙江大学学报(农业与生命科学版)2025,Vol.51Issue(2):240-251,12.DOI:10.3785/j.issn.1008-9209.2024.03.281

963份世界甘蓝型油菜种质资源的表型变异分析

Phenotypic variation analysis of 963 global Brassica napus germplasm resources

郭文慧 1周虹宇 1张梓 1王瑞森 2姚祥坦 2蒋立希1

作者信息

  • 1. 浙江大学农业与生物技术学院,浙江 杭州 310058
  • 2. 嘉兴市农业科学研究院,浙江 嘉兴 314016
  • 折叠

摘要

Abstract

Rapeseed(Brassica napus)plays a crucial role as a globally important oilseed crop.To advance molecular breeding and genetic manipulation strategies for rapeseed,it is crucial to identify gene resources by comprehensively analyzing phenotypic variations in key agronomic traits across a diverse global collection of rapeseed germplasm resources.This study focused on 963 genetic accessions that represent global rapeseed germplasm resources and evaluated 19 pivotal agronomic traits to perform genetic diversity analysis,correlation analysis,principal component analysis,and cluster analysis within the population.The findings revealed substantial genetic variation in the phenotypic expression of the majority of traits(over 70%)and robust correlations among specific traits,particularly plant morphology,yield,and seed quality characters.Through principal component analysis,seven principal component factors were extracted.Cluster analysis grouped the accessions into four distinct clusters,with group Ⅳ displaying advantages in terms of yield and quality,group Ⅱperforming better in terms of compact plant architecture,and group Ⅲ having a greater capacity for lodging resistance.These results lay a solid foundation for leveraging the existing genomic data platforms to identify and harness key genes that regulate critical agronomic traits.

关键词

甘蓝型油菜/表型变异/遗传多样性/相关性分析/主成分分析/聚类分析

Key words

Brassica napus/phenotypic variation/genetic diversity/correlation analysis/principal component analysis/cluster analysis

分类

农业科技

引用本文复制引用

郭文慧,周虹宇,张梓,王瑞森,姚祥坦,蒋立希..963份世界甘蓝型油菜种质资源的表型变异分析[J].浙江大学学报(农业与生命科学版),2025,51(2):240-251,12.

基金项目

国家重点研发计划项目(2024YFD1200400) (2024YFD1200400)

浙江省重点研发计划项目(2021C02057). (2021C02057)

浙江大学学报(农业与生命科学版)

OA北大核心

1008-9209

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