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无患子关联分析实生群体的表型性状     被引量:3

Phenotypic Traits of Sapindus mukorossi Seedling Population for Association Analysis

文献类型:期刊文献

中文题名:无患子关联分析实生群体的表型性状

英文题名:Phenotypic Traits of Sapindus mukorossi Seedling Population for Association Analysis

作者:刁松锋[1] 邵文豪[1] 姜景民[1] 董汝湘[1] 李彦杰[1]

机构:[1]中国林业科学研究院亚热带林业研究所

年份:2014

卷号:34

期号:4

起止页码:458-464

中文期刊名:植物研究

外文期刊名:Bulletin of Botanical Research

收录:CSTPCD;;北大核心:【北大核心2011】;CSCD:【CSCD2013_2014】;

基金:浙江省重大科技专项重点农业项目(2011C12015);国家公益性行业(林业)科研专项(200804032)

语种:中文

中文关键词:无患子;实生群体;表型性状;变异;关联分析

外文关键词:Sapindus mukorossi Gaertn. ; seedling population ; phenotypic traits ; variation ; association analysis

分类号:S216.2

摘要:为寻找适于进行关联分析的无患子(Sapindus mukorossi Gaertn.)群体,寻找开发与主要经济性状紧密关联的分子标记,在无患子主要分布区选出一个由110棵实生单株组成的满足关联分析的群体。对群体内每单株的25个表型性状利用单因素方差分析、主成分分析和相关性分析等方法进行分析。结果表明:该群体25个表型性状中23个性状变异为显著(P〈0.05),其中7个表征经济的性状变异达到极显著(P〈0.01),25个性状的变异程度差异较大,变异系数范围为5.53%~65.67%;主成分分析表明种实性状、树体性状和果枝性状是主要的性状变异;表型变异在群体内分布均匀、无明显层次结构,但性状间存在不同层次的相关性。结果表明,该群体是进行无患子关联分析研究的理想群体,可以以该群体为基础选择不同利用目标的优良单株,可以该种群为基础材料开展无患子分子辅助育种工作。
To select the population well Sapindus mukorossi Gaertn. , the seedling suited for the association analysis of character-molecular marker in population of S. raukorossi was selected, which is made up of 110 individuals and meets the conditions for association analysis. A total of 25 traits were investigated and analyzed, on which phenotypie variation analysis, principal component analysis (PCA) and correlation analysis were conducted. The results showed that the variation of 23 of 25 traits was significant (P 〈 0.05 ) and 7 of 23 traits was extremely significant (P 〈0.01 ), the coefficient of variation (CV) was 5.53% -65.67%. PCA showed that fruit traits and seed traits, tree traits and fruit branch traits were the best predictor of polymorphism patterns in flare tree peonies. The variation of phenotypes was in equal distribution within this population without conspicuous structure, but a hierarchical relationship was observed among different traits. The above results indicate that this selected population is well suited for the association analysis. The population may be used to select superior individuals for different purposes. Using the population of S. mukorossi as a basis for molecular assisted selection may be carried out.

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