基于种苗表型初步构建中国樟树核心种质
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  • 英文篇名:Preliminary Construction of Core Collection of Cinnamomum camphora Based on Seedling Phenotypic Data
  • 作者:钟永达 ; 赵善文 ; 程泽龙 ; 李彦 ; 刘立盘 ; 杨爱红 ; 孙小艳 ; 刘腾云 ; 刘淑娟 ; 肖亮 ; 周华 ; 吴照祥 ; 蒋祥英 ; 余发新
  • 英文作者:ZHONG Yong-da;ZHAO Shan-wen;CHENG Ze-long;LI Yan-qiang;LIU Li-pan;YANG Ai-hong;SUN Xiao-yan;LIU Teng-yun;LIU Shu-juan;XIAO Liang;ZHOU Hua;WU Zhao-xiang;JIANG Xiang-ying;YU Fa-xin;The Key Laboratory of Horticultural Plant Genetics and Improvement of Jiangxi Province,Institute of Biological Resources, Jiangxi Academy of Sciences;Fengshushan Forest Farm;
  • 关键词:樟树 ; 核心种质 ; 种源 ; 表型
  • 英文关键词:Cinnamomum camphora;;core collection;;provenance;;phenotype
  • 中文刊名:JXND
  • 英文刊名:Acta Agriculturae Universitatis Jiangxiensis
  • 机构:江西省科学院生物资源研究所/江西省观赏植物遗传改良重点实验室;江西省景德镇枫树山林场;
  • 出版日期:2019-02-20
  • 出版单位:江西农业大学学报
  • 年:2019
  • 期:v.41;No.213
  • 基金:国家自然科学基金项目(31860079);; 江西省科技支撑计划项目(20151BBF60018);; 江西省林业科技创新专项(201701)~~
  • 语种:中文;
  • 页:JXND201901011
  • 页数:9
  • CN:01
  • ISSN:36-1028/S
  • 分类号:87-95
摘要
樟树是我国重要的经济、用材和绿化树种。构建中国樟树核心种质,不仅能准确快速挖掘优异基因源,而且能减少工作量、提高育种效率。以樟树种质资源库中的872份樟树种质资源为材料,根据种源分成45个组,基于种子大小、千粒质量、苗高和地径4个表型性状数据,构建了217份中国樟树核心种质。利用不同性状的多样性指数t检验、均值t检验、方差F检验、均值、极差、变异系数、表型方差、表型频率方差、表型保留比例、变异系数变化率、极差符合率等11个参数和主成分分析进行核心种质代表性检验和评价。结果表明,所构建的中国樟树核心种质能够较好的代表全部种质的遗传多样性。
        Camphor tree(Cinnamomum camphora)is an important tree with economic,commercial and or?namental value. The construction of camphor tree core collection in China will not only excavate excellent gene resources accurately and rapidly,but also improve breeding efficiency. A total of 872 germ plasm collections of camphor were sampled and divided into 45 groups based on the provenance. The resultant core collection in?cluding 217 accessions was constructed with 4 traits including seed size and weight,seedling height and ground diameter. Furthermore the representativeness between total collections and core collection was accessed by the t test of diversity index,t test of average,F test of variance,average,range,coefficient of variation,phenotypic variance,phenotypic frequency variance,ratio of phenotype retained,changeable rate of coefficient of variation,coincidence rate of range and principal component analysis. The results showed that the selected core collection could represent the genetic diversity of total collections.
引文
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