Comprehensive evaluation on yield and quality of Pinellia ternata from Sichuan based on principal component and cluster analysis / 中草药

ABSTRACT

Objective: To comprehensively compare and evaluate the yield and quality of Pinellia ternate from Sichuan province and provide a basis for breeding and high-yield cultivation of it. Methods: Principal component analysis (PCA) on 14 main agronomic characters and three quality characters of 22 species of P. ternata came from Sichuan were analyzed, and the comprehensive evaluation and cluster analysis were carried out. Results: The yield increase rate, leaf weight per plant, and proliferation rate had greater coefficients of variation among species, while the contents of uridine, guanosine, uridine, and guanosine had smaller coefficients of variation. PCA showed that the 17 main traits might be represented by six principal components, and the cumulative contribution rate was 89.829%, and induced that tuber morphology factor, plant type, quality factor, proliferation rate factor, large grain rate factor, high yield increase rate, low reproduction factor, and yield increase rate factor, respectively. The comprehensive score of 6 was the highest, which was the higher yield and inferior quality material, and the comprehensive score of 13 was the lowest, which was the lower yield and higher quality material. The test materials could be divided into four types by cluster analysis. Conclusion: The comprehensive evaluation method is reliable by PCA and cluster analysis. The wild resources of P. ternate in Sichuan basin is rich. We can choose some high quality resources among them to provide the basis for the selection of new varieties of Sichuan.