赤皮青冈苗期生长表型性状变异及家系选择

    Variation in growth-phenotype traits and family selection of Cyclobalanopsis gilva at the seedling stage

    • 摘要:
      目的 探索赤皮青冈Cyclobalanopsis gilva家系苗期生长表型性状的遗传变异规律,选择苗期生长表现优异的优良家系。
      方法 从福建省建瓯市和柘荣县选出59株赤皮青冈天然优良单株并进行采种育苗,对苗高、叶片数、叶长、叶宽、叶片长宽比和叶面积等性状进行测量和计算,进行方差分析、遗传力估算、相关性分析和主成分分析,构建主成分综合得分模型,对参试家系进行评分。
      结果 苗高、叶片数、叶长和叶面积等性状在家系间和家系与重复互作效应的差异均达极显著水平,叶宽和叶片长宽比等性状在家系间的差异达极显著水平。生长表型性状的家系遗传力为0.793~0.905,在家系水平上生长表型性状均受到中、高强度的遗传控制,在苗期开展速生家系初选具有较大的遗传改良潜力。相关性分析表明,性状间的相关性均达极显著水平,叶宽与叶面积的相关系数最大;苗高与其余性状的相关性中,与叶片数的相关系数最大。通过主成分分析得出,前2个主成分的累计方差贡献率为82.838%,由这2个主成分的方差贡献率构建综合得分模型。从59个家系中初选苗期生长表现优异的家系20个,入选率为33.9%。入选的20个家系的苗高、叶片数、叶长、叶宽、叶片长宽比和叶面积的遗传增益均值分别为20.22%、18.89%、13.01%、8.34%、3.44%和21.27%。
      结论 赤皮青冈家系苗期生长表型性状存在丰富的遗传变异,家系间的差异达显著或极显著水平,生长表型性状受中、高强度的遗传控制,初选出苗期表现优异的家系20个。可从入选家系中选择超级苗开展扦插繁殖技术研究,通过无性繁殖进行初选良种材料的推广应用。

       

      Abstract:
      Objective To explore genetic variation patterns in growth-phenotype traits of Cyclobalanopsis gilva families at the seedling stage, and select elite families with superior early growth performance.
      Method Fifty-nine natural excellent C. gilva plants were selected from Jianou City and Zherong County, Fujian Province, seeds were collected, and seedlings were cultivated. Seedling height, leaf number, leaf length, leaf width, leaf aspect ratio and leaf area were measured and calculated. Analysis of variance, heritability estimation, correlation analysis, and principal component analysis were conducted, and the principal component comprehensive scoring model was constructed to rate the tested families.
      Result At the seedling stage, seedling height, leaf number, leaf length, and leaf area showed significant differences among families and in the family × replication interaction, while leaf width and leaf aspect ratio showed significant differences among families. The family heritability of growth-phenotype traits ranged from 0.793 to 0.905, indicating moderate to high genetic control of growth traits at the family level and substantial potential for genetic improvement through early selection. Correlation analysis results showed highly significant correlations among traits, with the strongest correlation between leaf width and leaf area. Among the correlation coefficients between seedling height and other traits, that with leaf number was the strongest. Principal component analysis showed that the first two components accounted for 82.838% of the cumulative variance. A comprehensive scoring model was developed based on these two components. Totally 20 families with excellent growth performance were selected from 59 families with a selection rate of 33.9%. The average genetic gains of seedling height, leaf number, leaf length, leaf width, leaf aspect ratio and leaf area for these 20 families were 20.22%, 18.89%, 13.01%, 8.34%, 3.44% and 21.27% respectively.
      Conclusion There are abundant genetic variation in growth-phenotype traits of C. gilva families at the seedling stage, and the growth-phenotype traits show significant or highly significant differences among families. The performance of growth-phenotype traits is subjected to moderate to high genetic control. Twenty families with excellent growth performance have been preliminarily selected. Superior seedlings from these families can be used for cutting propagation studies to promote their application through asexual propagation.

       

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