浙江农业科学 ›› 2026, Vol. 67 ›› Issue (5): 1146-1150.DOI: 10.16178/j.issn.0528-9017.20260029

• 瓜果类 • 上一篇    下一篇

基于苗期性状的甜瓜种质资源多样性分析

顾新荣1(), 冯路路2(), 徐耀辉3, 王曼曼2, 张惠敏2, 闫洪朗2, 王康2   

  1. 1.如东县曹埠镇人民政府,江苏 南通 226400
    2.江苏沿江地区农业科学研究所,江苏 南通 226001
    3.南通市海门区农业干部学校,江苏 南通 226100
  • 收稿日期:2026-01-14 出版日期:2026-05-11 发布日期:2026-05-12
  • 通讯作者: 冯路路
  • 作者简介:冯路路,E-mail:756877819@qq.com
    顾新荣,从事农作物新品种引选推广工作。E-mail:553887508@qq.com

Diversity analysis of melon germplasm resources based on seedling traits

GU Xinrong1(), FENG Lulu2(), XU Yaohui3, WANG Manman2, ZHANG Huimin2, YAN Honglang2, WANG Kang2   

  1. 1.People's Government of Caobu Town,Rudong County,Nantong 226400,Jiangsu
    2.Jiangsu Yanjiang Area Institute of Agricultural Sciences,Nantong 226001,Jiangsu
    3.Agricultural Cadres School of Haimen District,Nantong City,Nantong 226100,Jiangsu
  • Received:2026-01-14 Online:2026-05-11 Published:2026-05-12
  • Contact: FENG Lulu

摘要:

为探究98份甜瓜种质之间的多样性差异并进行综合评价,基于10个苗期性状进行变异分析、相关分析、主成分分析和聚类分析。结果表明,10个苗期性状的变异系数为3.83%~55.78%,多样性指数为1.75~2.04。子叶纵径、子叶横径、下胚轴长度之间呈极显著(p<0.01)正相关。主成分分析将10个苗期性状归纳为3个主成分。聚类分析将98份种质分为4个具有差异的类群。以上结果可为甜瓜种质筛选、种质创新提供理论依据。

关键词: 甜瓜, 苗期性状, 主成分分析, 聚类分析

Abstract:

This study explored the diversity differences and conducted a comprehensive evaluation among 98 melon germplasm resources.Variation analysis,correlation analysis,principal component analysis,and cluster analysis were performed based on 10 seedling traits. The results showed that the coefficients of variation for the 10 seedling traits ranged from 3.83% to 55.78%,with diversity indices ranging from 1.75 to 2.04. There were extremely significant(p<0.01)positive correlations among cotyledon longitudinal diameter,cotyledon transverse diameter,and hypocotyl length. Principal component analysis summarized the 10 seedling traits into 3 principal components. Cluster analysis divided the 98 germplasm accessions into four distinct groups. The above findings can provide a theoretical basis for future screening and innovation of melon germplasm resources.

Key words: melon, seedling traits, principal component analysis, cluster analysis

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