Welcome to Journal of Agriculture,

Journal of Agriculture ›› 2024, Vol. 14 ›› Issue (5): 54-59.doi: 10.11923/j.issn.2095-4050.cjas2023-0136

Previous Articles     Next Articles

Selection of Excellent Single Plant and Comprehensive Evaluation of Economic Traits of Yulania denudate ‘Hailuo’

CHENG Mingwei(), HAN Wenyan, LUO Xumei()   

  1. Anhui Academy of Forestry, Hefei 230031, Anhui, China
  • Received:2023-05-31 Revised:2023-10-16 Online:2024-05-20 Published:2024-05-16

Abstract:

In order to select and promote high-quality germplasm resources of Yulania denudate ‘Hailuo’ in Huaining county, five superior plants were selected from the ancient tree group in Hailuo mountain, and their economic traits including yield per plant, dry weight of 100 buds, volatile oil content, inclusions content were measured for three consecutive years. Principal component analysis was used to comprehensively evaluate the economic traits of the selected superior plants. The results showed that: (1) there were significant differences in the indicators of flower bud yield and inclusions among the five selected superior plants, with the coefficient of variation ranging from 8.20% to 50.82%. Among them, the coefficient of variation of 1,8-cineole content and volatile oil content of 100 buds were the largest. (2) Using principal component analysis to construct a comprehensive evaluation model of economic traits, it was found that volatile oil content of 100 buds and annual yield of whole buds were main indicators affecting comprehensive economic traits. The No.1 superior plant with the highest comprehensive evaluation score was selected, which could be promoted as a high-quality germplasm resource for Y. denudate ‘Hailuo’. (3) The evaluation results were basically consistent with the performance of the superior plants in actual production, indicating that principal component analysis could be used as one of the methods for comprehensive evaluation of economic traits of Y. denudate ‘Hailuo’.

Key words: Yulania denudate ‘Hailuo’, cultivar selection, economic traits, principal component analysis, comprehensive evaluation