王楚天, 游璐, 钟琳珊, 连鲁楠, 胡冬南. 江西29个油茶品种始果早期表型变异分析[J]. 西南林业大学学报, 2017, 37(1): 73-81. DOI: 10.11929/j.issn.2095-1914.2017.01.013
引用本文: 王楚天, 游璐, 钟琳珊, 连鲁楠, 胡冬南. 江西29个油茶品种始果早期表型变异分析[J]. 西南林业大学学报, 2017, 37(1): 73-81. DOI: 10.11929/j.issn.2095-1914.2017.01.013
Chutian Wang, Lu You, Linshan Zhong, Lunan Lian, Dongnan Hu. Analysis of Phenotypic Variation on 29 Varieties of Young Camellia oleifera in Jiangxi Province[J]. Journal of Southwest Forestry University, 2017, 37(1): 73-81. DOI: 10.11929/j.issn.2095-1914.2017.01.013
Citation: Chutian Wang, Lu You, Linshan Zhong, Lunan Lian, Dongnan Hu. Analysis of Phenotypic Variation on 29 Varieties of Young Camellia oleifera in Jiangxi Province[J]. Journal of Southwest Forestry University, 2017, 37(1): 73-81. DOI: 10.11929/j.issn.2095-1914.2017.01.013

江西29个油茶品种始果早期表型变异分析

Analysis of Phenotypic Variation on 29 Varieties of Young Camellia oleifera in Jiangxi Province

  • 摘要: 选取在江西省广泛栽植、具有代表性的29个油茶品种,对其10个表型性状进行研究,运用方差分析、相关分析、聚类分析和主成分分析,通过重复力、Shannon-Wiener多样性指数和聚类结果,探讨不同品种表型多样性水平及亲缘关系。结果表明:树体、叶片和果实相关性状均变异较大,平均变异系数11.09%,平均相对极差达38.08%,平均表型多样性指数为2.356 5;果实(0.99)与叶片性状重复力(0.95)极显著高于树体性状(0.71),相同选择强度下,对果实性状的选育具有更高的遗传增益;表型性状与出籽率及种仁含油率间具有显著相关性;聚类分析与主成分分析均将29个油茶品种分为5个大类。不同品种表型多样性水平差异较大;果实性状和叶片性状表型多样性差异由其遗传差异造成,而环境条件对树体性状影响较大;利用性状间相关性,可选取重要指标预测单株(系)产量;聚类分析和主成分分析所得结果基本一致,均能较好区分不同品种间的亲缘关系;地理来源相同的品种具有相似表型,表明其遗传距离更近。

     

    Abstract: 29 varieties of Camellia oleifera were selected, which widely cultivated and representative in Jiangxi Province. 10 phenotype traits were analyzed statistically, meanwhile phenotypic diversity level and genetic relationship were investigated based on repeatability, Shannon-Wiener diversity index and clustering results, using variance analysis, correlation analysis, cluster analysis and principal component analysis. The results showed that a wide phenotypic variation in trees, leaves and fruits was presented, the average coefficient of variation was 11.09%, the average relative extreme value was 38.08%, and the average phenotypic diversity index was 2.356 5. Repeatability of fruit traits (0.99) and leaf traits (0.95) was significantly higher than the tree traits (0.71). Choosing fruit traits in breeding will provide a higher genetic gain under the same selection intensity. Phenotypic traits have a significant correlation between the output rate of seed and oil content. These 29 different varieties were divided into 5 categories by cluster analysis and principal component analysis. Phenotypic diversity level among varieties has higher differences.The fruit and leaf traits phenotypic diversity difference caused by the genetic differences, in addition, environmental conditions had a greater influence on tree traits. Selecting important index, which significantly related to yield, can forecasted production. Cluster analysis and principal component analysis results were basically identical, both could able to distinguish the genetic relationship between different varieties. Most accessions from the same origins of varieties has similar phenotype, which may indicates that the genetic distance closer.

     

/

返回文章
返回