| 不同品种夏橙品质的评价分析 |
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| 引用本文： | 左婷 陈红 伊华林 董梦婷 黄宇新 魏张奎 余豹 潘海兵. 不同品种夏橙品质的评价分析[J]. 中国农学通报, 2014, 30(10): 158-162. DOI: 10.11924/j.issn.1000-6850.2013-2121 |
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| 作者姓名： | 左婷 陈红 伊华林 董梦婷 黄宇新 魏张奎 余豹 潘海兵 |
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| 作者单位： | 1. 2. 华中农业大学工学院 |
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| 基金项目： | 中央高校基本科研业务费专项资金资助项目;国家科技支撑计划资助项目;国家现代柑橘产业技术体系专项基金 |
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| 摘 要： | 为了提高夏橙品系品质性状的选择效率，为夏橙的品质优化提供理论依据，以湖北宜昌秭归地区9个夏橙品系为材料，分析其物理特性（单果重、果形指数、果实硬度、果皮厚、果皮颜色、果汁颜色、水分）和化学特性指标（果实纤维、可溶性固形物、可滴定酸、固酸比和维生素C）之间的关系。结果表明，物理特性中单果重、果实硬度、果皮厚的变异系数较大，果汁颜色、果性指数变异系数较小；化学特性中果实纤维、水分、可溶性固形物、可滴定酸的品系间变异系数较大。9种品种间单果重、硬度和果实纤维差异显著，其余指标变化均不显著。主成分分析表明这16项指标反映的夏橙品质可用4个主成分来表示(累计贡献率达93.37%)，并且各性状的贡献率集中。不同品种夏橙品质差异为夏橙品质选择改良提供了很好的借鉴作用，并为人们日常生活中合理消费夏橙提供理论依据。
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| 关 键 词： | 生物学特性 生物学特性 |
| 收稿时间： | 2013-08-06 |
| 修稿时间： | 2013-09-12 |
Quality Evaluation and Analysis of Different Varieties of Valencia Orange |
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| Zuo Ting,Chen Hong,Yi Hualin,Dong Mengting,Huang Yuxin,Wei Zhangkui,Yu Bao,Pan Haibing. Quality Evaluation and Analysis of Different Varieties of Valencia Orange[J]. Chinese Agricultural Science Bulletin, 2014, 30(10): 158-162. DOI: 10.11924/j.issn.1000-6850.2013-2121 |
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| Authors: | Zuo Ting Chen Hong Yi Hualin Dong Mengting Huang Yuxin Wei Zhangkui Yu Bao Pan Haibing |
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| Affiliation: | 1.College of Engineering ＆ Technology, Huazhong Agricultural University, Wuhan 430070; 2.College of Horticulture ＆ Forestry Sciences, Huazhong Agricultural University, Wuhan 430070) |
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| Abstract: | In order to improve the selection efficiency of Valencia oranges＇ quality traits, and provide a theoretical basis for Valencia oranges＇ quality optimization, the quality indices which included physical characteristic indices （fruit mass, shape index, firmness, thick, skin color, juice color, moisture content） and chemical property indices （fiber, TSS, TA, TSS/TA, vitamin C etc.） of 9 kinds of Valencia orange grown in Zigui Area, Hubei Province were analyzed. The results showed that the variation coefficient of the fruit mass, firmness, thick, fiber, moisture, soluble solids, TA was large, while the variation coefficient of the fruit color, fruit index coefficient was small, and the other indices had no significant difference. The principal component analysis showed that the quality of Valencia orange which was reflected by 16 indicators could be represented by 4 principal components with a cumulative contribution rata of 93.37%, and the contribution rate of each trait focus. Different quality between different Valencia orange provided a good selection of reference for quality improvement, and a theoretical basis for rational consumption in people＇ s daily life. |
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| Keywords: | Principal component analysis |
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