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京津冀主栽板栗品种(系)坚果表型性状分析及产仁量性状的综合评价

Analysis of Nut Phenotypic Traits and Comprehensive Evaluation of Kernel Yield Traits of Chestnut Varieties (Strains) in the Beijing-Tianjin-Hebei Region

  • 摘要:
    目的 明确京津冀主栽板栗品种(系)之间坚果外观和产仁量性状的差异,综合评价各品种(系)坚果产仁量性状特征,为企业加工靶向选择品种提供参考,并为定向培育产仁量性状表现突出的良种提供育种资源。
    方法 以京津冀地区35个主栽板栗品种(系)为对象,综合运用相关性分析、主成分分析、隶属函数分析和聚类分析法,对坚果15个外观性状和5个产仁量性状指标进行评价。
    结果 坚果外观数量性状在品种(系)之间差异较小,外观质量性状和产仁量性状在品种(系)之间差异较大;供试品种(系)坚果颜色以褐色和紫褐色为主,果形椭球形居多,筋线普遍不明显,果面光泽油亮或明亮,茸毛较少,底座较小,果形指数和相对底座大小均值分别为0.80和0.29,可满足消费者和加工企业对外观品质的要求;基于产仁量性状的综合评价值的聚类分析可将35个板栗品种(系)分为4类。
    结论 ‘燕山短枝’、‘燕山早丰’、‘杂35’、‘燕奎’、‘迁西暑红’、‘遵化短刺’、‘白露香’、‘承德尖栗’、‘邢丰收1号’、‘大板红’这10个品种(系)单粒质量较大、种壳薄、出仁率高,产仁量性状表现突出。本研究为加工企业原料品种选择提供了依据,并可为加工型新品种遗传改良中优异育种材料的选择提供参考。

     

    Abstract:
    Objective The study investigates the differences in nut appearance and kernel yield traits among main chestnut varieties (strains) cultivated in Beijing-Tianjin-Hebei and provides a comprehensive evaluation of their kernel yield traits of each variety for providing a reference for processing enterprises in selecting targeted selection varieties and valuable breeding resources for directional breeding of improved varieties with outstanding kernel yield traits.
    Method Date were collected for 15 appearance traits and 5 kernel yield traits of nuts from 35 main chestnut varieties (strains) in the Beijing-Tianjin-Hebei region. Correlation analysis, principal component analysis, membership function analysis and cluster analysis were used to comprehensively evaluate the traits.
    Result The results showed that quantitative traits related to nut appearance exhibited relatively minor differences among varieties (strains), while appearance quality traits and kernel yield traits varied significantly. The predominant nut colors were brown and purple brown, with most nuts displaying an ellipsoidal shape in side view. Nut strips were generally inconspicuous, and the surface exhibited an oily or glossy sheen. Both pubescence density and nut base size were small. The average nut shape index and relative base size were 0.80 and 0.29, respectively, meeting consumer and processing industry standards for desirable appearance quality. Cluster analysis based on comprehensive kernel yield trait evaluation classified the 35 chestnut varieties (lines) into four distinct groups.
    Conclusion Varieties (strains) such as ‘Yanshanduanzhi’ ‘Yanshanzaofeng’ ‘Za 35’‘Yankui’ ‘Qianxishuhong’ ‘Zunhuaduanci’ ‘Bailuxiang’ ‘Chengde jianli’ ‘Xingfengshou 1’ ‘Dabanhong’ demonstrated superior kernel yield characteristics, with large kernels, thin shells, and high kernel percentages. This study provides a basis for processing enterprises in selecting suitable raw material varieties, and provides valuable insights for breeding materials in the genetic improvement of new processing varieties.

     

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