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	Low within-population genetic diversity and high genetic differentiation among populations of the endangered plant Tetracentron sinense Oliver revealed by inter-simple sequence repeat analysis
	Shan Li; Xiaohong Gan; Hongyan Han; Xuemei Zhang
刊名	Annals of Forest Science
	2018
卷号	Vol.75 No.3页码:1-11
关键词	Tetracentron sinense Oliver Genetic variation Genetic structure Molecular marker ISSR Conservation strategy, China
ISSN号	1286-4560;1297-966X
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5464489
专题	湖南大学
作者单位	1.Shan Li , College of Life Science, Nanchong, China) China West Normal University, Institute of Plant Adaptation and Utilization in Southwest Mountain, Nanchong, China) 2.Xiaohong Gan , College of Life Science, Nanchong, China) China West Normal University, Institute of Plant Adaptation and Utilization in Southwest Mountain, Nanchong, China) 3.Hongyan Han , College of Life Science, Nanchong, China) China West Normal University, Institute of Plant Adaptation and Utilization in Southwest Mountain, Nanchong, China) 4.Xuemei Zhang , College of Life Science, Nanchong, China) China West Normal University, Institute of Plant Adaptation and Utilization in Southwest Mountain, Nanchong, China)
推荐引用方式 GB/T 7714	Shan Li,Xiaohong Gan,Hongyan Han,et al. Low within-population genetic diversity and high genetic differentiation among populations of the endangered plant Tetracentron sinense Oliver revealed by inter-simple sequence repeat analysis[J]. Annals of Forest Science,2018,Vol.75 No.3:1-11.
APA	Shan Li,Xiaohong Gan,Hongyan Han,&Xuemei Zhang.(2018).Low within-population genetic diversity and high genetic differentiation among populations of the endangered plant Tetracentron sinense Oliver revealed by inter-simple sequence repeat analysis.Annals of Forest Science,Vol.75 No.3,1-11.
MLA	Shan Li,et al."Low within-population genetic diversity and high genetic differentiation among populations of the endangered plant Tetracentron sinense Oliver revealed by inter-simple sequence repeat analysis".Annals of Forest Science Vol.75 No.3(2018):1-11.

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