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CHINESE JOURNAL OF OIL CROP SCIENCES ›› 2020, Vol. 42 ›› Issue (1): 78-.doi: 10.19802/j.issn.1007-9084.2019195

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 Evaluation of main quality traits of local perilla resources in Guizhou

  

  1. Guizhou Institute of Oil Crops, Guizhou Academy of Agricultural Science, Guiyang 550006, China
  • Online:2020-02-28 Published:2020-03-05

Abstract:  For better evaluate and utilize perilla resources in Guizhou, 274 accessions were collected and clas⁃ sified to find out their features and differences. Among them, main seed quality traits of 188 resources were investi⁃ gated. Results showed that perilla resources were widely distributed throughout the province, and most of them were collected in the south, southwest and Bijie City of Guizhou, which together accounted for 55.11% of the total re⁃ sources. The average oil content and protein content of the tested perilla resources were 36.69% and 25.96% respec⁃ tively. The main component of the fatty acids was linolenic acid, with an average of 59.27%. Correlation analysis of the 7 main quality traits showed a significant positive correlation between oil and protein (r= 0.43, p< 0.01) and a significant negative correlation between linolenic acid and the other 4 fatty acid components (r= -0.70 to -0.52, p< 0.01). By cluster analysis, the tested resources were classified into V types, regarded as OH PH LH (high oil, high pro⁃ tein, high linolenic acid) -type, OH PH LL (high oil, high protein, low linolenic acid)-type, OL PL (low oil and low pro⁃ tein)-type, medium quality-type and OUHLUH (ultra high oil-ultra high linolenic acid)-type respectively. The study clarified the regional distribution and quality characteristics of Guizhou’s perilla resources, and could benefit the researchers in high efficiency utilization and quality breeding of perilla. 

Key words: color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:normal, line-height:1.5, text-decoration:none, ">color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:normal, line-height:1.5, text-decoration:none, ">Guizhou;perilla;resource distribution;quality;cluster analysis ,

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