食品科学 ›› 2020, Vol. 41 ›› Issue (17): 68-74.doi: 10.7506/spkx1002-6630-20190801-006

• 基础研究 • 上一篇    下一篇

杨桃种质果实品质性状遗传多样性分析

马小卫,苏穆清,李栋梁,郑斌,邹明宏   

  1. (1.中国热带农业科学院南亚热带作物研究所,海南省热带作物营养重点实验室,广东 湛江 524091;2.岭南师范学院生命科学与技术学院,广东 湛江 524048)
  • 出版日期:2020-09-15 发布日期:2020-09-16
  • 基金资助:
    热带果树种质资源收集、鉴定、编目、繁殖更新与保存分发利用专项

Genetic Diversity of Carambola Germplasm Based on Fruit Quality

MA Xiaowei, SU Muqing, LI Dongliang, ZHENG Bin, ZOU Minghong   

  1. (1. Key Laboratory of Tropical Crops Nutrition of Hainan Province, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524091, China; 2. School of Life Science and Technology, Lingnan Normal University, Zhanjiang 524048, China)
  • Online:2020-09-15 Published:2020-09-16

摘要: 以保存于中国热带果树种质资源圃的21 份杨桃种质为材料,利用方差分析、相关性分析和主成分分析法对果实形态和糖、酸、矿质营养含量等25 项品质性状进行了遗传多样性评价。结果表明:21 份杨桃种质果实品质性状存在明显差异,具有丰富多样性;酒石酸含量变异系数最大(109.95%)、其次为铁含量(104.78%)、柠檬酸含量(79.07%)和总酸含量(73.54%),而果实纵径和可溶性固形物含量的变异系数最小,分别为9.97%和7.44%;一些果实品质性状间存在着显著的相关性;主成分分析结果显示前6 个主成分累积方差贡献率为81.63%,各性状的贡献率分散,性状变异具有多向性。

关键词: 杨桃;种质资源;果实品质;聚类分析;主成分分析

Abstract: Twenty-one carambola germplasm accessions grown in the orchards of China’s South Subtropical Crops Research Institute were used in this study. Genetic diversity of fruit physical characteristics and 25 quality attributes including acid, sugar, and mineral nutrient contents was evaluated using analysis of variance (ANOVA), correlation analysis and principal component analysis (PCA). The results showed that there were significant differences among the carambola germplasm accessions in all measured factors, indicating abundant genetic diversity. The highest variation coefficient (CV) was found in tartaric acid (109.95%), followed by iron (104.78%), citric acid (79.07%) and total acid (73.54%) contents, while the lowest CV was observed in fruit length (9.97%) and soluble solids content (7.44%). A high correlation was found among some quality attributes. In addition, the results of PCA showed that more than 81.63% of the observed variability was explained by the first 6 principal components, and indicated that the variation in the fruit quality was multi-directional.

Key words: carambola; germplasm; fruit quality; cluster analysis; principal component analysis

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