工业等级烟叶质量的主成分分析和聚类分析评价
运用主成分分析法和Q型聚类分析对14个不同工业等级标准的烟叶质量进行了评价.结果表明：①按累积贡献率≥85％的标准,筛选出化学成分因子、感官质量因子、烟气成分因子共3个主成分,其对变异的累积贡献率达94.37％.②不同等级的烤烟烟叶的综合评价得分差异明显,其中MO1,CF1,MF2等3个等级烟叶质量得分高于其他等级烟叶,而XO2,XF2,XO3等3个等级烟叶质量得分则低于其他等级烟叶.③聚类分析结果表明,14个不同等级样品分为3类,其中第1类有CF2,MO2,CO1,MO3,MF2,MF3,CO2,ML2;第2类有MO1,MF1,CF1,第3类有XF2,XO3,XF3....
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| Published in | 西南农业学报 Vol. 27; no. 4; pp. 1733 - 1736 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
广东中烟工业有限责任公司,广东广州,510145%西南大学农学与生物科技学院,重庆,400716
2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-4829 |
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| Abstract | 运用主成分分析法和Q型聚类分析对14个不同工业等级标准的烟叶质量进行了评价.结果表明：①按累积贡献率≥85％的标准,筛选出化学成分因子、感官质量因子、烟气成分因子共3个主成分,其对变异的累积贡献率达94.37％.②不同等级的烤烟烟叶的综合评价得分差异明显,其中MO1,CF1,MF2等3个等级烟叶质量得分高于其他等级烟叶,而XO2,XF2,XO3等3个等级烟叶质量得分则低于其他等级烟叶.③聚类分析结果表明,14个不同等级样品分为3类,其中第1类有CF2,MO2,CO1,MO3,MF2,MF3,CO2,ML2;第2类有MO1,MF1,CF1,第3类有XF2,XO3,XF3. |
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| AbstractList | 运用主成分分析法和Q型聚类分析对14个不同工业等级标准的烟叶质量进行了评价.结果表明：①按累积贡献率≥85％的标准,筛选出化学成分因子、感官质量因子、烟气成分因子共3个主成分,其对变异的累积贡献率达94.37％.②不同等级的烤烟烟叶的综合评价得分差异明显,其中MO1,CF1,MF2等3个等级烟叶质量得分高于其他等级烟叶,而XO2,XF2,XO3等3个等级烟叶质量得分则低于其他等级烟叶.③聚类分析结果表明,14个不同等级样品分为3类,其中第1类有CF2,MO2,CO1,MO3,MF2,MF3,CO2,ML2;第2类有MO1,MF1,CF1,第3类有XF2,XO3,XF3. S571.1; 运用主成分分析法和Q型聚类分析对14个不同工业等级标准的烟叶质量进行了评价.结果表明:①按累积贡献率≥85％的标准,筛选出化学成分因子、感官质量因子、烟气成分因子共3个主成分,其对变异的累积贡献率达94.37％.②不同等级的烤烟烟叶的综合评价得分差异明显,其中MO1,CF1,MF2等3个等级烟叶质量得分高于其他等级烟叶,而XO2,XF2,XO3等3个等级烟叶质量得分则低于其他等级烟叶.③聚类分析结果表明,14个不同等级样品分为3类,其中第1类有CF2,MO2,CO1,MO3,MF2,MF3,CO2,ML2;第2类有MO1,MF1,CF1,第3类有XF2,XO3,XF3. |
| Author | 王玉胜 左安建 梁荣 扈强 李旭华 金保锋 叶为民 张建奎 |
| AuthorAffiliation | 广东中烟工业有限责任公司,广东广州510145 西南大学农学与生物科技学院,重庆400716 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DocumentTitleAlternate | Evaluation of Principal Components and Cluster Analysis on Flue-cured Tobacco of Industrial Grade |
| DocumentTitle_FL | Evaluation of Principal Components and Cluster Analysis on Flue-cured Tobacco of Industrial Grade |
| EndPage | 1736 |
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| Keywords | 工业等级 Cluster analysis 主成分分析 烤烟 Industrial grade 聚类分析 Flue-cured tobacco Principal component analysis |
| Language | Chinese |
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| Notes | WANG Yu-sheng, ZUO An-jian , LIANG Rong , HU Qiang , LI Xu-hua , JIN Bao-feng, YE Wei-min ,ZHANG Jian-kui （1. China Tobacco Gnangdong Industrial Co. , Ltd. , Guangdong Guangzhou 510145, China; 2. College of Agronomy and Biotechnology, Southwest University, Chongqing 400716, China） 51-1213/S Hue-cured tobacco; Principal component analysis; Cluster analysis; Industrial grade PCA and Q cluster analysis based on SPSS were used to evaluate the quality of 14 samples of industrlal-grade flue-cured tobaccos. The results showed that, （i） Three principal components, namely chemical component, sensory component and smoke component, obtained by the accumulative contribution rate over 85 %, demonstrated an accumulative contribution rate of up to 94.34 % to variation. （ii） The comprehensive sooting of the flue-cured tobacco leafs had obvious differences. The quality seerings of MO1, CF1, MF2 preceded those of others, while the quality scorings of XO2, XF2, XO3 came after those of others. （iii） The results of Q cluster analysi |
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| PublicationDateYYYYMMDD | 2014-01-01 |
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| PublicationTitle | 西南农业学报 |
| PublicationTitleAlternate | Southwest China Journal of Agricultural Sciences |
| PublicationTitle_FL | Southwest China Journal of Agricultural Sciences |
| PublicationYear | 2014 |
| Publisher | 广东中烟工业有限责任公司,广东广州,510145%西南大学农学与生物科技学院,重庆,400716 |
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| SubjectTerms | 主成分分析 工业等级 烤烟 聚类分析 |
| Title | 工业等级烟叶质量的主成分分析和聚类分析评价 |
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