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ACTA HORTICULTURAE SINICA ›› 2019, Vol. 46 ›› Issue (2): 375-384.doi: 10.16420/j.issn.0513-353x.2018-0196

• Research Notes • Previous Articles     Next Articles

Petal Volatile Components Among Different Varieties of Rosa rugosa

YAO Chenyang1,2,GE Hong2,WU Hua3,JIA Ruidong2,ZHAO Xin2,Lü Yingmin1,*,and YANG Shuhua2,*   

  1. 1College of Landscape Architecture,Beijing Forestry University,Beijing 100083,China;2National Flowers Improvement Center of China,Institute of Vegetables and Flowers,Chinese Academy of Agricultural Sciences,Beijing 100081,China;3School of Sciences,Beijing Technology and Business University,Beijing 100048,China
  • Online:2019-02-25 Published:2019-02-25

Abstract: The petal volatile components and their contents among five varieties of Rosa rugosa Thunb. were assayed qualitatively and quantitatively by using Head Solid-phase Micro-extraction(HS–SPME)and Gas Chromatography-Mass Spectrometry(GC–MS). The compositions and relative contents were analyzed. Forty-nine volatile compounds were detected,including alcohols,esters,aldehydes,terpenes,phenols,ketones,alkanes,acids and ethers. The main volatile components including phenylethyl alcohol,citronellol,nerol,geraniol and their acetate esters were contributed to the first and second principal components in the principal component analysis. The releasing amounts(RA)of the major aromatic components were significantly different among the varieties. There were significantly higher RA of citronellol,citronellal,and citronellol acetate in R. rugosa‘Fenghua’than the other 4 varieties. Moreover,the higher RA of geraniol,geranial,nerol,neral,cis-β-ocimene and β-pinene were observed in the R. rugosa f. alba and R. rugosa f. plena than the other varieties. Five Rosa rugosa were clustered into two groups by clustering analysis. Among the first group,there were R. rugosa‘Zizhi’and R. rugosa from Japan,while R. rugosa f. alba,R. rugosa f. plena and R. rugosa‘Fenghua’were clustered in the second group.

Key words: Rosa rugosa, volatile components, gas chromatography-mass spectrometry, principal component analysis, cluster analysis

CLC Number: