食品科学 ›› 2018, Vol. 39 ›› Issue (11): 69-74.doi: 10.7506/spkx1002-6630-201811011

• 基础研究 • 上一篇    下一篇

库尔勒香梨及其芽变和杂交品种(系)果实品质评价因子的选择

位 杰,蒋 媛,林彩霞*   

  1. 新疆生产建设兵团第二师农业科学研究所,新疆 铁门关 841005
  • 出版日期:2018-06-15 发布日期:2018-06-06
  • 基金资助:
    河北省科技计划项目(16246327D);新疆生产建设兵团第二师科技计划项目(2015NYGG10)

Selection of Quality Evaluation Factors for Korla Fragrant Pear, Bud Mutants and Hybrid Varieties (Strains)

WEI Jie, JIANG Yuan, LIN Caixia*   

  1. Agricultural Scientific Institute of 2nd Division of Xinjiang Production and Construction Corps, Tiemenguan 841005, China
  • Online:2018-06-15 Published:2018-06-06

摘要: 采用主成分分析法和聚类分析法对库尔勒香梨及其芽变和杂交的13 个品种(系)果实的主要品质性状 (单果质量、果肉硬度、果形指数、心果比、可溶性固形物含量、可溶性糖含量、可滴定酸含量、石细胞含量、 VC含量、糖酸比、汁液含量)进行了分析,以简化库尔勒香梨及其芽变和杂交品种(系)果实品质的评价指 标。结果表明:不同品种(系)的果实品质存在明显差异,果实石细胞含量和单果质量的变异系数较大,果实汁 液含量变异系数较小,部分品质性状之间存在简单的相关性;主成分分析提取出5 个主成分,累计方差贡献率为 88.964 5%,可以在一定程度上概括这些性状的总体信息量;依据不同品种(系)的主成分得分,筛选出的5 个代 表性的品种(系)分别为84-1-1、84-1-15、新梨9号、新梨8号、84-4-72。经聚类分析,可将库尔勒香梨及其芽变和 杂交品种(系)果实品质评价指标简化为单果质量、果形指数、石细胞含量、可溶性固形物含量和汁液含量5 个主 要指标。综合运用主成分分析和聚类分析方法,可以简化库尔勒香梨及其芽变和杂交品种(系)果实品质的评价指 标,有助于库尔勒香梨优良果实性状品种的评价与筛选。

关键词: 库尔勒香梨, 果实品质, 主成分分析, 聚类分析, 评价因子

Abstract: In order to simplify the quality evaluation of Korla fragrant pear and its bud mutants as well as hybrid varieties (strains), the main quality traits of 13 fruit samples from Korla fragrant pear and its bud mutants as well as hybrid varieties (strains) including single fruit weight, flesh firmness, fruit shape index, core/fruit ratio, soluble solid content, soluble sugar content, titratable acidity, stone cell content, vitamin C content, and sugar/acid ratio and juice content were analyzed by principal component analysis (PCA) and cluster analysis. The results showed significant differences in fruit quality parameters among these varieties (strains). The variation (CV) coefficients of stone cell content and single fruit weight were larger, whereas the CV of juice content was smaller than that of other quality parameters. There was a simple correlation between some quality traits. In PCA, 5 principal components were extracted and explained cumulatively 88.964 5% of the total variance. These principal components were sufficient to represent the quality characteristics of Korla fragrant pear. Five varieties (strains) were selected based on their principal component scores, including 84-1-1, 84-1-15, Xinli No. 9, Xinli No. 8 and 84-4-72. The five most important fruit quality parameters were single fruit weight, fruit shape index, stone cell content, soluble solid content and juice content according to cluster analysis. In conclusion, principal component analysis and cluster analysis are useful for the evaluation and selection of fruit quality traits of Korla fragrant pear and its bud mutations as well as hybrid varieties (strains).

Key words: Korla fragrant pear, fruit quality, principal component analysis, cluster analysis, evaluation factor

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