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Chinese Agricultural Science Bulletin ›› 2025, Vol. 41 ›› Issue (4): 74-83.doi: 10.11924/j.issn.1000-6850.casb2024-0340

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Genetic Diversity Analysis of Syringa Germplasm Resources on Phenotypic Traits

LI Jing1(), LI Haixia1, LI Zhenghua1, GUO Chengbo1, WANG Yanmin1, SUN Peilin2, BAI Hui1()   

  1. 1 Key Laboratory of Fast-Growing Tree Cultivating of Heilongjiang Province/ Heilongjiang Forest Institute, Harbin 150081
    2 Heilongjiang Institute of Atomic Energy, Harbin 150086
  • Received:2024-05-24 Revised:2024-11-13 Online:2025-01-23 Published:2025-01-23

Abstract:

In order to further understand the genetic diversity of Syringa germplasm resources, using 118 germplasm resources of Syringa as experimental materials, and 9 quantitative traits and 28 qualitative traits were measured. The genetic diversity of phenotypic traits of Syringa germplasm resources were studied by diversity analysis, correlation analysis, cluster analysis and principal component analysis. The results showed that a total of 81 variant types were observed for the 28 qualitative traits. Among them, shape of lobe, color of new shoots and shape of inflorescence had a large variation range. The Shannon-Wiener information index H' and genetic diversity index D of 28 qualitative traits respectively varied from 0 to 1.63 and 0 to 0.79. And the higher diversity indexes were observed in shape of lobe (H'=163, D=0.79) and color of new shoots (H'=1.23, D=0.67). The lowest coefficient of variation of leaf shape index was 15.78% in 9 quantitative traits and the highest coefficient of variation of length of inflorescence was 37.95%. Bud diameter was significantly correlated with bud length, leaf length and leaf width, the correlation coefficients were 0.748 and 0.833 (Sig.<0.01). The 118 Syringa germplasm resources were divided into 3 groups at the Euclidean distance of about 15 according to cluster analysis; the first group could be used for selecting large flower diameter and tightly inflorescence cultivars; group II could be used for selecting loose inflorescence cultivars; and group III could be used for selecting large inflorescence cultivars. Principal component analysis results showed that the cumulative contribution rate of the first four principal components reached to 73.885%. The samples based on the first two principal components value were selected as the preferred traits form the higher contribution traits, and the floret size factor and leaf size index were selected for correlation evaluation, which could improve the efficiency for evaluation and breeding selection of Syringa germplasm.

Key words: Syringa, germplasm resources, phenotypic traits, genetic diversity, information index, qualitative trait, quantitative trait, cluster analysis, principal component analysis