重齿当归形态数量性状的分级研究
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国家现代农业产业技术体系建设专项(CARS-21)资助


Classification Study on Morphological Quantitative Characteristics of Angelica biserrata
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    摘要:

    为明确重齿当归(Angelica biserrata)数量性状的分布规律,对6份种质资源的14个数量性状指标进行测定与分析。结果表明,6份种质资源的8个数量性状存在显著差异,在6个数量性状的差异不显著。14个数量性状的变异系数为6.47%~33.34%,最大的是叶面积,最小的是复叶回数。复叶回数不符合正态分布,叶序数近似于正态分布,其余数量性状均符合正态分布。叶宽、叶长、叶面积、叶周长间呈极显著正相关,相关系数为0.568~0.925,其余数量性状间的相关系数均低于0.560;主成分分析表明,10个数量性状在2个以上主成分中起主要决定作用。概率分级结果表明,去除复叶回数、叶周长、叶面积、叶长、叶序数等5个数量性状,8个数量性状被分为5个连续分布的分级,1个数量性状被分为3个连续分布的分级。

    Abstract:

    In order to clarify the distribution of quantitative traits of Angelica biserrata, fourteen quantitative traits of 6 A. biserrata germplasms were measured and analyzed. The results showed that there were significant differences of 8 quantitative traits among 6 resources, and 6 quantitative traits had not significant differences. The variation coefficient of 14 quantitative traits ranged from 6.47% to 33.34%, in which the largest was leaf area, and the smallest was the number of replicates of compound leaves. The distribution of 13 quantitative traits conform to the normal distribution except the number of replicates of compound leaves. There was significant positive correlation among leaf width, leaf length, leaf area and leaf circumference with correlation coefficients of 0.568-0.925, and those among other quantitative traits were all lower than 0.560. The principal component analysis showed that 10 quantitative traits played a major decisive role in more two principal components. Five quantitative traits, including multiple leaf circle number, leaf circumference, leaf area, leaf length and leaf order number were removed, the probability grading showed that eight quantitative traits were divided into 5 continuous distributions classification, 1 quantitative trait into 3 continuous distribution classifications.

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郭晓亮,王红娟,段媛媛,阮芝艳.重齿当归形态数量性状的分级研究[J].热带亚热带植物学报,2021,29(6):688~693

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  • 收稿日期:2020-12-25
  • 最后修改日期:2021-03-01
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  • 在线发布日期: 2021-12-02
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