LI Zhou
Institute of Subtropical Agriculture, Fujian Academy of Agricultural Sciences, Zhangzhou 363005, Fujian, ChinaTAN Fangxi
Department of Biological Science and Technology, Minnan Normal University, Zhangzhou 363000, Fujian, ChinaZHAO Yican
Department of Biological Science and Technology, Minnan Normal University, Zhangzhou 363000, Fujian, ChinaZHANG Dingshan
Institute of Subtropical Agriculture, Fujian Academy of Agricultural Sciences, Zhangzhou 363005, Fujian, ChinaHONG Jianji
Institute of Subtropical Agriculture, Fujian Academy of Agricultural Sciences, Zhangzhou 363005, Fujian, ChinaWU Songhai
Institute of Subtropical Agriculture, Fujian Academy of Agricultural Sciences, Zhangzhou 363005, Fujian, ChinaThe aim was to screen the superior germplasm resources of Hemerocallis citrina. The yield formation and quality of 20 H. citrina germplasms were evaluated by using correlation analysis, stepwise regression, path analysis and TOPSIS analysis. The results showed that variations in agronomic, yield and quality traits among different H. citrina germplasms were rich with coefficient of variation (CV) from 1.9% to 75.6%. The CV of bud chroma a* (redness) was the highest (75.6%), followed by total flavone content (67.9%) and bud weight (41.0%), and water content of bud was the lowest (1.9%). Bud weight, bud diameter and flower moss number were significantly correlated with yield with CV of 0.737, 0.583 and 0.517, respectively. The correlation among nutrient quality traits was weak, while the correlation between appearance color index and some nutritional quality was extremely significant. The results of stepwise regression and path analysis suggested that floral bud weight and scape number were the main determinant of yield formation across all investigated germplasms, with decision coefficients of 0.534 and 0.239, respectively. The combination weights of nutritional quality and color parameters, calculated by using the method of coefficient of variation-entropy weight, were 0.523 and 0.477, respectively, and the results could effectively distinguish the best quality rank of different germplasm resources with application of combined the TOPSIS analysis method. Two-dimensional scatter distribution diagrams, a visualized overall assessment result simultaneously considering yield and quality, could be derived for use in the high yield and bud quality quickly screening of H. citrina.
李洲,谭方曦,赵乙灿,张定山,洪建基,吴松海.基于黄花菜产量与品质特征的优异种质筛选及评价[J].热带亚热带植物学报,2024,32(1):82~92
Copy