食品科学 ›› 2025, Vol. 46 ›› Issue (10): 31-38.doi: 10.7506/spkx1002-6630-20240716-161

• 基础研究 • 上一篇    下一篇

16种菲油果品系果实品质评价及优选

杨诗琪,刘玉民,刘亚敏,李菊,李承想,高丙利   

  1. (1.西南大学资源环境学院,重庆 400715;2.重庆禾木千里生态农业科技有限公司,重庆 402760)
  • 出版日期:2025-05-25 发布日期:2025-05-07
  • 基金资助:
    重庆市林业科技攻关项目(ylky2018-05);中央林业改革发展资金科技推广项目(ylkt2019-04)

Fruit Quality Evaluation and Optimal Selection of 16 Lines of Feijoa (Acca sellowiana)

YANG Shiqi, LIU Yumin, LIU Yamin, LI Ju, LI Chengxiang, GAO Bingli   

  1. (1. College of Resources and Environment, Southwest University, Chongqing 400715, China; 2. Chongqing Hemu Qianli Ecological Agriculture Technology Co. Ltd., Chongqing 402760, China)
  • Online:2025-05-25 Published:2025-05-07

摘要: 以16 种菲油果品系果实为实验材料,分析其外观品质、内在品质、抗氧化能力等指标,采用变异分析、相关性分析和主成分分析筛选核心评价指标,采用层次分析法确定核心指标权重,采用灰色关联度分析法构建综合评价模型,对菲油果果实品质进行综合评价,并通过感官评价对综合评价模型的准确性进行验证。结果表明:不同菲油果品系果实品质存在显著差异;单果质量(X1)、出汁率(X2)、糖酸比(X3)、总酚含量(X4)可作为菲油果果实品质评价的核心指标;应用该指标建立菲油果果实品质综合评价模型:加权灰色关联度=0.381 0X1+0.298 2X2+0.210 8X3+0.110 0X4,综合评价模型结果与感官评价结果拟合相关系数达0.869,表明该模型准确度较高,可用于菲油果果实品质综合评价;Y4和Y1为果实综合品质优良的目标品系,可作推广。研究结果可为菲油果果实品质评价体系的建立提供依据,为菲油果良种选育提供科学指导。

关键词: 菲油果;果实品质;层次分析;灰色关联度分析;综合评价

Abstract: In order to comprehensively evaluate the difference in fruit quality among 16 different feijoa lines, this study determined the external and internal quality indicators and antioxidant activities of 16 feijoa lines. Variability analysis, correlation analysis and principal component analysis were used to identify core indicators. The weights of these indicators were determined by analytic hierarchy process, and a comprehensive evaluation model for fruit quality was established by grey relational analysis. The accuracy of the model was verified by sensory evaluation. The results indicated a significant variation in fruit quality across feijoa lines. Four core fruit quality indexes were selected, including single fruit mass (X1), juice yield (X2), sugar/acid ratio (X3), and total phenol content (X4). The comprehensive evaluation model was described as follows: weighted grey relational grade = 0.381 0X1 + 0.298 2X2 + 0.210 8X3 + 0.110 0X4. The model results were correlated well with those of sensory evaluation (R2 = 0.869), indicating high accuracy of the model. Two excellent lines, Y4 and Y1, were selected for promotion. The findings provide a reference for the establishment of a comprehensive evaluation system for feijoa quality and offer scientific guidance for feijoa breeding.

Key words: feijoa; fruit quality; analytic hierarchy process; grey relational analysis; comprehensive evaluation

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