基于模糊数学和聚类分析的鲜食葡萄品种综合品质评价

doi:10.7506/spkx1002-6630-201513012

食品科学

基于模糊数学和聚类分析的鲜食葡萄品种综合品质评价

刘美迎1，李小龙1，梁茁1，张振文1,2,*

1.西北农林科技大学葡萄酒学院，陕西杨凌 712100；2.陕西省葡萄与葡萄酒工程中心，陕西杨凌 712100

出版日期:2015-07-15 发布日期:2015-07-08

Comprehensive Quality Assessment of Table Grapes Varieties Using Fuzzy Mathematics and Cluster Analysis

LIU Meiying1, LI Xiaolong1, LIANG Zhuo1, ZHANG Zhenwen1,2,*

1. College of Enology, Northwest A&F University, Yangling 712100, China;
2. Shaanxi Engineering Research Center for Viti-Viniculture, Yangling 712100, China

Online:2015-07-15 Published:2015-07-08

摘要/Abstract

摘要：

对2013年陕西渭北地区的14 个鲜食葡萄品种的17 项生物经济学指标进行观察测定，并运用模糊数学和聚类分析评价了不同葡萄品种果实的综合品质。结果表明：品种间果实的果粒形状、产量、花色苷含量、果粉厚度、果皮厚度和果皮颜色性状变异系数较大，而果实感官品质和内在品质相关指标的变异系数较小。模糊数学评价筛选出综合品质较好的品种为红地球、夏黑、红宝石、8611、金田0601和魏可，而秦龙大穗、弗雷无核的综合品质较差。聚类分析结果表明，品质优等的8611、红地球、红宝石和魏可聚为一类，为优良的鲜食葡萄栽培种，品质中等的玫瑰香、巨玫瑰和红乳聚为一类，而品质最差的弗雷无核单独聚为一类。模糊数学评价方法结合聚类分析可给予葡萄综合品质较全面、客观的评价。

关键词: 葡萄品种, 综合品质, 模糊数学, 聚类分析

Abstract:

Fuzzy mathematics and cluster analysis were used for comprehensive quality assessment of fourteen table grape
varieties sampled from a commercial vineyard in Weinan, Shannxi province in 2013. The results showed that there were
larger coefficients of variation in berry shape, yield, total anthocyanin content, berry skin thickness, berry bloom thickness,
and berry color characteristics, whereas sensory properties and related indicators of intrinsic quality were relatively
lower. The comprehensive assessment by fuzzy mathematics analysis showed that “Red Globe”, “Summer Black”, “Ruby
Seedless”, “Wuhengzaohong” ,“Jintian 0601” and “Wink” had superior quality. “Qinlongdasui” and “Flame Seedless”
showed the lowest quality. By using Q-type cluster analysis, “Wuhengzaohong”, “Red Globe”, “Ruby Seedless” and “Wink”
with superior quality were clustered into one group, “Muscat Hamburg”, “Jumeigui” and “Hong Ru” with average quality
were assigned into another group, and “Flame Seedless” with the worst quality was clustered into a separate category. The
combination of fuzzy mathematics and cluster analysis could provide a comprehensive and objective evaluation system for
determining the quality of grape varieties.

Key words: grape varieties, comprehensive quality, fuzzy mathematics, cluster analysis

中图分类号:

S663.1

刘美迎1，李小龙1，梁茁1，张振文1,2,*. 基于模糊数学和聚类分析的鲜食葡萄品种综合品质评价[J]. 食品科学, doi: 10.7506/spkx1002-6630-201513012.

LIU Meiying1, LI Xiaolong1, LIANG Zhuo1, ZHANG Zhenwen1,2,*. Comprehensive Quality Assessment of Table Grapes Varieties Using Fuzzy Mathematics and Cluster Analysis[J]. FOOD SCIENCE, doi: 10.7506/spkx1002-6630-201513012.

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基于模糊数学和聚类分析的鲜食葡萄品种综合品质评价

Comprehensive Quality Assessment of Table Grapes Varieties Using Fuzzy Mathematics and Cluster Analysis

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