%0 Journal Article
%T 四川晾晒烟地方品种资源主要农艺性状的表型多样性分析<br>Phenotypic Diversity of Important Agronomic Traits in Sichuan Sun-Cured Tobacco Local Variety
%A 魏淑红
%A 姜光友
%J Hans Journal of Agricultural Sciences
%P 23-30
%@ 2164-5523
%D 2016
%I Hans Publishing
%R 10.12677/HJAS.2016.62004
%X <div style=\"text-align:justify;\">
	<span style=\"line-height:1.5;\">为揭示四川晾晒烟农艺性状的变异特征，探索晾晒烟产量形成的主要农艺性状，为合理评价和挖掘现有晾晒烟种质资源提供参考，本文对49份四川晾晒烟地方品种资源的15个农艺性状进行了分析。结果表明晾晒烟主要农艺性状遗传变异丰富，变异系数达10.87%~63.02%，其中单株烟叶重的变异系数最大。主成分分析筛选出总体方差累计贡献率达76.979%的前3个主成分，主要是株型因子和叶形因子。聚类分析将49份供试材料分为5类，类群V单株烟叶最重，同时叶数较多，植株较高，茎围和节间距较大，叶宽适中，叶片较短。品种2、15、17、22、43、24、38、49、35 综合性状优良，可作为育种材料利用。&lt;br/&gt;In this study, 15 agronomic traits of 49 Sichuan sun-cured tobacco germplasm resources were an-alyzed. The purpose was to analyze the variation of agronomic traits and explore the traits con-trolling the yielding of sun-cured tobacco, wishing to provide important information for germplasm evaluation and innovation to select the high yielding sun-cured tobacco varieties. The results showed that variations in main agronomic traits of Sichuan sun-cured tobacco varieties were abundant and its coefficient of variation was ranging from 10.87% to 63.02%. Among the main agronomic traits, the per plant tobacco leaf weight had the most variation in related traits. Principal component analysis revealed that the top 3 principal components, mainly including plant type factors and leaf type factor had the variance cumulative contribution rate of 76.979%. All of the sun-cured germplasm can be classified into 3 clusters depending on the results of the cluster analysis. Materials in cluster V had the heavier per plant tobacco leaf weight with the smaller stem girth, the higher plant height, the larger distance between leaves and more leaf number. 9 varieties such as variety 2, 15, 17, 22, 43, 24, 38, 49 and 35 from cluster V with good characteristics were selected as breeding material.</span>
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%K 晾晒烟，农艺性状，表型多样性，地方品种，主成分分析<br>Sun-Cured Tobacco
%K Agronomic Traits
%K Genetic Diversity
%K Local Variety
%K Principal Component Analysis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=17337