首页> 外文期刊>Canadian Journal of Forest Research >Variation in growth, leaf, and wood property traits of Chinese white poplar (Populus tomentosa), a major industrial tree species in Northern China.
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Variation in growth, leaf, and wood property traits of Chinese white poplar (Populus tomentosa), a major industrial tree species in Northern China.

机译:中国北方主要的工业树种白杨(Populus tomentosa)的生长,叶片和木材特性的变化。

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摘要

The natural phenotypic variation in Chinese white poplar (Populus tomentosa Carr.), which is distributed across a wide geographical area of northern China (30 degrees N-40 degrees N, 105 degrees E-125 degrees E), is a potential source of beneficial variation for poplar breeding. Thirteen traits related to growth, leaf, and wood properties were quantified in 460 P. tomentosa individuals grown in a common garden plot. There was considerable range-wide phenotypic variation in all traits across individuals according to the patterns of ANOVA among hierarchical groups (populations and regions, respectively). A clear sexual dimorphism for seven traits was examined. In total, 32 trait-trait phenotypic correlations (P<=0.05), 10 trait-geographical factor correlations (P<=0.05), and a highly interrelated structure network were identified, which was further supported by principal component analysis (PCA). These associations can be used in multiple-trait selective breeding programs for advantageous phenotypic traits. A hierarchical cluster analysis was used to classify four groups (southeastern, central, northeastern, and southwestern populations) among the natural populations using these 13 phenotypic traits. This study provides important perspectives into the use of direct breeding to potentially improve economic traits and provides a starting point for genome-wide association studies in P. tomentosa in the near future.
机译:中国白杨(Populus tomentosa Carr。)的自然表型变异分布在中国北方广泛的地理区域(北纬30度至北纬40度,东经105度至东经125度),是有益的潜在来源。杨树育种的变异。与460个在普通花园中种植的毛绒球菌个体定量了13个与生长,叶片和木材特性有关的性状。根据分层组(分别为人口和区域)中的方差分析(ANOVA)模式,个体间所有性状在整个范围内都有相当大的表型变异。检查了七个特征的明显的性别二态性。总共确定了32个性状-性状表型相关性(P <= 0.05),10个性状-地理因素相关性(P <= 0.05)和高度相关的结构网络,这得到主成分分析(PCA)的进一步支持。这些关联可用于有利的表型性状的多性状选择性育种程序中。使用这13个表型特征,使用层次聚类分析对自然种群中的四个组(东南,中部,东北和西南种群)进行分类。这项研究为使用直接育种潜在地改善经济性状提供了重要的观点,并为不久以后在毛绒球菌中进行全基因组关联研究提供了起点。

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