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    房凡, 贾黎明, 蒋晓辉, 白倩, 苏淑钗. 基于24个表型性状的中国黄连木优良单株选择[J]. 北京林业大学学报, 2024, 46(2): 40-50. DOI: 10.12171/j.1000-1522.20220447
    引用本文: 房凡, 贾黎明, 蒋晓辉, 白倩, 苏淑钗. 基于24个表型性状的中国黄连木优良单株选择[J]. 北京林业大学学报, 2024, 46(2): 40-50. DOI: 10.12171/j.1000-1522.20220447
    Fang Fan, Jia Liming, Jiang Xiaohui, Bai Qian, Su Shuchai. Selection of superior individual Pistacia chinensis based on 24 phenotypic traits[J]. Journal of Beijing Forestry University, 2024, 46(2): 40-50. DOI: 10.12171/j.1000-1522.20220447
    Citation: Fang Fan, Jia Liming, Jiang Xiaohui, Bai Qian, Su Shuchai. Selection of superior individual Pistacia chinensis based on 24 phenotypic traits[J]. Journal of Beijing Forestry University, 2024, 46(2): 40-50. DOI: 10.12171/j.1000-1522.20220447

    基于24个表型性状的中国黄连木优良单株选择

    Selection of superior individual Pistacia chinensis based on 24 phenotypic traits

    • 摘要:
      目的 解决中国黄连木缺乏良种并改善产量普遍较低的现状,为黄连木优良品种选育提供应用材料。
      方法 对我国7个省份(市、自治区)88份中国黄连木种质测定了包括产量性状、品质性状在内的24项指标,利用相关性分析、聚类分析、主成分分析等统计方法,分析了指标间的变异,量化评价各经济性状。
      结果 (1)黄连木果实性状表现丰富的多样性,产量、产油能力性状变异幅度极大,果实体积、表面积、百粒质量变异幅度相对较大,外观性状变异幅度相对较小。健康果实各项指标变异幅度均小于非健康果实。(2)单株产量与果枝率、结果枝数、单枝果穗数、果穗果量、单株果量分别呈极显著正相关,含油率与健康果实率、单枝果穗数、单株产量、冠幅单位面积产量、果实百粒质量也分别呈极显著正相关。(3)聚类分析将种质分为4种类群,分别为低产古树类群、大果型类群、中果型类群、小果型类群。(4)利用主成分分析,筛选出10份最优种质,5份来自大果型类群,5份来自中果型类群,综合评分前3名均来自大果型类群,平均增益达56.49%。
      结论 黄连木果实性状指标变异幅度大,为黄连木良种选育提供较大空间。大果型类群容易出现综合得分极为靠前的优良单株,中果型类群则易稳定产出综合得分较高的优良单株。陕西、山东地区具有适合中国黄连木产业发展的环境条件,更具备发展中国黄连木油用树种的潜力。

       

      Abstract:
      Objective This study was conducted to address the current situation of lack of improved varieties and low yield in China, and to provide application materials for the selection and breeding of improved varieties of Pistacia chinensis.
      Method Twenty-four indicators, including yield traits and quality traits, were measured on 88 germplasm resources from seven provinces (cities and autonomous regions) in China and statistical methods such as correlation analysis, cluster analysis and principal component analysis were used to analyze the variation among the indicators and to quantitatively evaluate each economic trait.
      Result (1) The fruit traits of P. chinensis showed rich diversity, with great variation in yield and oil-producing capacity, relatively large variation in fruit volume, surface area and 100-fruit mass, and relatively small variation in appearance traits. The variation in all indicators was less in healthy fruit than that in unhealthy fruit. (2) Yield per tree was highly significantly positively correlated with bearing branch rate, number of the bearing branch, number of the fruit cluster per branch, number of the fruit per fruit cluster and number of the fruit per tree, respectively. Oil content was highly significantly positively correlated with healthy fruit rate, number of the fruit cluster per branch, yield per tree, yield of the unit crown area and 100-fruit mass, respectively. (3) Cluster analysis classified the germplasm into four groups: low-yielding ancient tree group, large-fruited group, medium-fruited group and small-fruited group. (4) Using principal component analysis, 10 superior germplasms were selected, five from the large-fruited group and five from the medium-fruited group. The top three overall scores were all from large-fruited taxa, with an average gain of 56.49%.
      Conclusion The wide variation of the fruit traits of P. chinensis provides a large scope for the selection and breeding of improved varieties of P. chinensis. The large-fruited group is prone to produce superior individuals with very high overall scores, while the medium-fruited group is prone to stably produce superior individuals with high overall scores. The Shaanxi and Shandong regions have the environmental conditions suitable for the development of P. chinensis industry, and have more potential for the development of P. chinensis oil species.

       

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