高级检索+
徐嘉娟, 朱亚艳, 王港. 贵州小果油茶表型多样性分析及综合评价[J]. 浙江林业科技, 2021, 41(3): 15-23. DOI: 10.3969/j.issn.1001-3776.2021.03.002
引用本文: 徐嘉娟, 朱亚艳, 王港. 贵州小果油茶表型多样性分析及综合评价[J]. 浙江林业科技, 2021, 41(3): 15-23. DOI: 10.3969/j.issn.1001-3776.2021.03.002
XU Jia-juan, ZHU Ya-yan, WANG Gang. Comprehensive Evaluation and Phenotypic Diversity Analysis of Camellia meiocarpa In Guizhou[J]. Journal of Zhejiang Forestry Science and Technology, 2021, 41(3): 15-23. DOI: 10.3969/j.issn.1001-3776.2021.03.002
Citation: XU Jia-juan, ZHU Ya-yan, WANG Gang. Comprehensive Evaluation and Phenotypic Diversity Analysis of Camellia meiocarpa In Guizhou[J]. Journal of Zhejiang Forestry Science and Technology, 2021, 41(3): 15-23. DOI: 10.3969/j.issn.1001-3776.2021.03.002

贵州小果油茶表型多样性分析及综合评价

Comprehensive Evaluation and Phenotypic Diversity Analysis of Camellia meiocarpa In Guizhou

  • 摘要: 为探析贵州小果油茶Camellia meiocarpa主要分布区的小果油茶表型性状的差异及变异规律,利用Shannon-weaver多样性指数(H’)、多重比较、变异系数对表型性状的多样性进行分析,采用隶属函数法与主成分分析相结合的方法对5个居群的32株小果油茶进行综合评价。结果表明:小果油茶19个描述型性状的多样性水平不同,花瓣颜色和子房绒毛为稳定遗传性状,其多样性指数均为0,其余17个性状的多样性指数在0.139 1 ~ 1.615 9之间,平均为0.657 2,以种子形状的多样性指数最大,叶基形状的较小。11个数值型性状的平均变异系数(CV)为22.66%,变异幅度为8.90% ~ 42.25%,其中,果纵径、果横径、果形指数3个反映果实形态的性状变异系数较小,较为稳定;5个居群的平均变异系数从大到小分别为P2(26.16%)> P1(23.65%)> P5(23.24%)> P4(20.81%)> P3(19.43%),均具有较高的变异系数;居群间表型分化系数的平均值为58.79%,小果油茶表型变异在居群间的贡献率为58.79%,居群内的贡献率为41.21%,说明5个小果油茶居群在居群间和居群内都有一定程度的变异,多样性较高。主成分分析把11个表型性状归为6个主成分(累计贡献率为88.54%,反映出11个表型性状的大部分信息),依次为单果质量、果形指数、果皮厚度、花瓣数、柱头开裂数、花冠直径。表型性状的综合评价由综合得分值大小判定,排在前5位的分别是12号、1号、7号、10号、17号单株,来自黎平洪州的12号单株综合得分值最高(3.86),来自榕江忠诚的29号单株最低(-1.29)。5个居群的小果油茶表型多样性丰富,不同居群、不同单株的小果油茶性状存在差异,综合评价值可以为小果油茶种质资源评价提供参考。

     

    Abstract: In 2017, 5 populations of Camellia meiocarpa were selected from its main distribution area in Guizhou for determinations on flower, leaf and fruit. The results showed that among 19 descriptive phenotypic traits, only petal color and ovary pubescence genetic diversity index was 0, the other 17 traits had0.139 1-1.615 9, with the average of 0.657 2. The largest and the smallest index was seed shape and leaf base shape. Mean coefficient of variation of11 numerical traits was 22.66%, ranging from 8.90% to 42.25%. Fruit length, fruit diameter and fruit shape index had smaller coefficient of variance. The average coefficient of variance of five populations was varied 26.16%-19.43%. The mean coefficient of phenotypic differentiation among populations was 58.79%, the contribution rate among and within populations was 58.79% and 41.21%,showing variation among and within the five populations of C. meiocarpa with rich diversity. Principal component analysis on 11 phenotypic traits resulted into 6 principal components like fruit weight, fruit shape index, pericarp thickness, number of petals, number of style splitting and corolla diameter with cumulative contribution rate of 88.54%. The 6 principal components were. Comprehensive evaluation onphenotypic traits demonstrated that the highest was from Hongzhou with 3.86, and the lowest from Zhongcheng with -1.29.

     

/

返回文章
返回