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不同海拔砂生槐天然群体的叶表型变异研究

Leaf phenotypic variation of natural populations of Sophora moorcroftiana (Benth.) Baker at different altitudes

  • 摘要: 为揭示砂生槐(Sophora moorcroftiana (Benth.) Baker)天然群体叶表型多样性随海拔梯度的变化规律,阐明叶表型与地理气候因子的关系,以西藏自治区两个市区内的砂生槐天然群体为研究对象,运用巢式方差分析、相关性分析、Mantel检验、主成分分析等方法,分析4个不同海拔砂生槐天然群体的8个叶表型性状。结果显示,除小叶数外,其余性状在群体间存在极显著差异(P<0.01),变异较为丰富;随海拔的升高,群体间的叶表型多样性呈降低趋势,变异系数(CV)平均为18.214%;相关性分析结果表明,叶长、叶宽、叶形指数、叶干质量以及比叶重与经度、年均温、1月均温及7月均温均呈极显著负相关(P<0.01),与年均降水量呈极显著正相关(P<0.01)。结果表明,砂生槐群体叶表型多样性沿海拔上升梯度呈下降趋势;变异程度与地理气候因子之间显著相关;砂生槐叶片表型性状变异以群体间变异为主。

     

    Abstract: This study characterized variation in leaf phenotypic diversity across an elevational gradient in natural populations of Sophora moorcroftiana (Benth.) Baker, examined associations between leaf phenotype and geographic and climatic variables, and provided a scientific basis for the collection, preservation, and utilization of high-quality germplasm resources. Natural populations from two urban areas of the Xizang Autonomous Region were investigated. Eight leaf phenotypic traits were measured in four natural populations of S. moorcroftiana distributed across different elevations and analyzed using nested analysis of variance, correlation analysis, Mantel test, and principal component analysis. Results showed substantial phenotypic variation among populations. Except for leaflet number, all leaf traits differed significantly among populations (P<0.01). Along the elevation gradient, leaf phenotypic diversity showed a decreasing trend, with an average coefficient of variation (CV) of 18.214%. Based on correlation analysis, leaf length, leaf width, leaf shape index, leaf dry weight, and specific leaf weight were significantly negatively correlated with longitude, average annual temperature, and average temperature in January and July (P<0.01), but significantly positively correlated with average annual precipitation (P<0.01). Overall, leaf phenotypic diversity in S. moorcroftiana declined with increasing elevation, and the degree of variation was strongly associated with geographic and climatic factors. Most variation in leaf phenotypic traits was attributable to differences among populations.

     

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