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基于主成分分析的设施桃果实品质综合评价 被引量:36

Comprehensive evaluation on fruit quality of peach cultivars in greenhouse based on principal component analysis
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摘要 分析不同设施桃品种果实主要经济性状的差异,对不同设施桃品种果实综合品质做客观评价。以日光温室栽培的17个设施桃品种为试材,对成熟期各品种果实的12个主要经济性状进行测定,采用主成分分析法,以方差相对贡献率为权重,构建综合评价函数,对各品种果实的综合品质进行评价。结果表明,不同设施桃品种的果实品质存在明显差异,果实风味(固酸比)、果个大小(单果重)及内含物含量(可滴定酸、维生素C、可溶性蛋白)的变异系数较大,果肉率、果型指数和整齐度的变异系数较小;主成分分析提取6个主成分,累计方差贡献率为92.43%;评价结果表明春雪品种果实的综合品质最好,旭日最差,评价结果与实验测定结果有很好的一致性。主成分分析法可有效的对设施桃果实综合品质做出评价。 To analyze differences among fruit economic characters of peach varieties in greenhouse and objectively evaluate the overall quality of their fruit,seventeen cultivars of peach in greenhouse were used as test material to determine twelve main economic characters of fruit in the mature period. Comprehensive evaluation function was constructed by principal component analysis to evaluate fruit quality of different cultivars, using relative variance contribution as weight factors.The results indicated that there were significant differences on fruit quality of the cultivars.The coefficients of variation of fruit flavor( ratio of total soluble solids to acid), fruit mass (single fruit weight) and contents of fruit inclusion (titratable acidity, vitamin C and soluble protein)were larger than other indices, and coefficients of variation of rate of pulp, fruit shape index and fruit uniformity were less.Total cumulative contribution of six principal components which extracted by principal component analysis reached 92.43%.The evaluation results which were mainly consistent with the measuring results of test showed that Chunxue fruit had a best overall quality,and the Xuri was the worst one.It could be concluded that principal component analysis could be performed to analyze the overall quality of peach fruit in greenhouse effectively.
出处 《食品工业科技》 CAS CSCD 北大核心 2014年第23期84-88,94,共6页 Science and Technology of Food Industry
基金 国家"十二五"科技支撑计划项目(2011BAD12B02) 德州市科技发展计划项目(2012B15)
关键词 设施 果实品质 主成分分析 综合评价 greenhouse peach fruit quality principal component analysis comprehensive evaluation
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