| 孔凡轩,梁秀美,荀倩,陈官菊,郭秀珠,夏海涛.基于主成分分析和聚类分析的四季柚优株果实品质综合评价[J].中国南方果树,2026,55(4):52-57 |
| 基于主成分分析和聚类分析的四季柚优株果实品质综合评价 |
| Comprehensive evaluation of fruit quality of superior trees of Siji pomelo based on principal component analysis and cluster analysis |
| 投稿时间：2025-07-24 修订日期：2025-08-27 |
| DOI： |
| 中文关键词: 四季柚 优良单株 主成分分析 聚类分析 果实品质 |
| 英文关键词:Siji pomelo superior individual plant principal component analysis cluster analysis fruit quality |
| 基金项目: |
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| 摘要点击次数: 11 |
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| 中文摘要: |
| 旨在建立四季柚果实品质综合评价体系，进行四季柚优良单株的准确评价，为四季柚种质资源开发奠定理论基础。以21株四季柚单株果实为试验材料，对单果质量、果形指数、果皮厚度、可食率、出汁率、可溶性固形物、可溶性糖、可滴定酸、维生素C、固酸比和糖酸比等11项果实品质指标进行测定分析，并利用聚类分析和主成分分析对果实品质进行综合评价。不同四季柚单株果实品质性状差异明显，变异系数范围为2.81～13.54%，其中糖酸比、固酸比和果皮厚度这三项指标的变异程度较大（> 10%）。主成分分析提取了4个主成分，其累积方差贡献率为86.355%，分别为风味因子（40.212%）、外观因子（21.466%）、酸类因子（15.888%）和可食因子（8.789%），能够反映果实品质的基本特征。聚类分析将21株四季柚单株划分为6类，与主成分综合得分结果基本一致。聚类分析的第一类群中的6株四季柚单株（SJY-1、SJY5、SJY6、SJY7、SJY17和SJY18）综合得分均靠前，果实品质综合表现最好，可进一步筛选作为目标优株。主成分分析结合聚类分析的果实品质综合评价为四季柚优株的筛选和新品种的选育提供了参考依据。 |
| 英文摘要: |
| To establish a comprehensive evaluation system for the fruit quality of Siji pomelo [Citrus maxima (Burm.) Merr. cv. Szechipaw] and accurately assess superior individual trees, thereby providing a theoretical foundation for the development of Siji pomelo germplasm resources. Using fruits from 21 individual trees of Siji pomelo as experimental materials, 11 fruit quality indexes were measured and analyzed, including single fruit weight, fruit shape index, peel thickness, edible rate, juice percentage, soluble solid content, soluble sugar content, titratable acid content, vitamin C content, solid-acid ratio, and sugar-acid ratio. Cluster analysis and principal component analysis (PCA) were employed to comprehensively evaluate fruit quality. The fruit quality traits of different individual trees of Siji pomelo exhibited significant variation, with coefficients of variation ranging from 2.81% to 13.54%. Among these, sugar-acid ratio, solid-acid ratio, and peel thickness showed the highest variability (> 10%). PCA extracted four principal components, with a cumulative variance contribution rate of 86.355%. These components were flavor factor (40.212%), appearance factor (21.466%), acid factor (15.888%), and edible factor (8.789%), which could reflect the fundamental characteristics of fruit quality. Cluster analysis classified the 21 individual trees of Siji pomelo into six categories, which were largely consistent with the comprehensive scores of PCA. The six individual trees of Siji pomelo (SJY-1, SJY-5, SJY-6, SJY-7, SJY17 and SJY-18) in the first cluster category of the cluster analysis exhibited the highest comprehensive scores and the optimal comprehensive fruit quality performance, which could be further screened as target superior trees. The comprehensive evaluation of fruit quality using PCA combined with cluster analysis provides a reliable reference for the selection of superior trees of Siji pomelo and the breeding of new varieties. |
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