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Research on Phenotypic Traits Diversity of Cymbidium sinense Germplasms

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2025年4
Page:
1-7
Research Field:
Publishing date:

Info

Title:
Research on Phenotypic Traits Diversity of Cymbidium sinense Germplasms
Author(s):
ZHAO Minjun; WU Pengcheng; ZHU Weiyin; XU Jianqiu; YANG Zhi; LIN Jiajia
(Fujian Forestry Science and Technology Test Center，Zhangzhou，Fujian 363600)
Keywords:
Cymbidium sinense; quantitative traits; qualitative traits; principal component analysis; cluster analysis
PACS:
S 682.31
DOI:
10.11937/bfyy.20242933
Abstract:
Taking 34 germplasm resources of Cymbidium sinense as the test materials,the genetic diversity of 25 phenotypic traits was studied by using the method of genetic diversity analysis of phenotypic traits,in order to provide reference for the scientific management and protection of Cymbidium sinense germplasm resources and Cymbidium sinense breeding.The results showed that the coefficient of variation (CV) for quantitative traits ranged was 15.03%-37.05%，indicated a high level of variability.Moreover，the Shannon-Wiener index (I) for quantitative traits in all germplasms exceeded 1，confirmed a high level of diversity in these traits.For qualitative traits，the CV fluctuated between 25.23% and 89.06%，also showed substantial variability.Additionally，the I index for qualitative traits was within the range of 3.386-3.726，demonstrated significant diversity in these traits as well.The Simpson index (D) for qualitative traits was between 0.960 and 0.982，approaching 1，suggested a balanced distribution and the high degree of diversity in the qualitative traits.The principal component analysis identified 8 principal components with a cumulative contribution rate of 80.141%.Among them，the quantitative traits of floral parts carried a large weight，became the primary indicators of Cymbidium sinense phenotypic traits.The cluster analysis based on Euclidean distance divided the germplasm resources into four groups，with phenotypic trait characteristics mainly focused on quantitative traits，particularly those related to floral parts，which aligned with the results of the principal component analysis.

References:

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Last Update: 2025-02-28