Frontiers in Plant Science | |
Genetic analysis and elite tree selection of the main resin components of slash pine | |
Plant Science | |
Yanjie Li1  Yini Zhang1  Xianyin Ding2  Qifu Luan2  Jingmin Jiang2  Shu Diao2  | |
[1] Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China;Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China;Exotic Pine Cultivation Engineering Technology Research Center of National Forestry and Grassland Administration, Hangzhou, China; | |
关键词: slash pine; main resin components; genetic variation; correlation; genetic selection; | |
DOI : 10.3389/fpls.2023.1079952 | |
received in 2022-10-25, accepted in 2023-01-13, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
Pine resin, as a natural material, has been widely used in food, pharmaceutical, and chemical industries. Slash pine (Pinus elliottii Engelm var. elliottii) is the primary tree species for resin tapping due to its high resin yield, low resin crystallization rate, and high turpentine content. Current researches focuse on the targeted improvement of several significant components to meet industrial needs rather than just resin yield. The objective of this study was to examine the genetic variation and correlation of genetic and phenotype for four main resin components (α pinene, β pinene, abietic acid, and levoprimaric acid) of 219 half-sib progenies from 59 families. The results showed that the levopimaric acid had the largest content (mean value = 21.63%), while the β pinene content had the largest variation coefficient (CV = 0.42). The α pinene content has the highest heritability (h2 = 0.67), while levopimaric acid has the lowest heritability (h2 = 0.51). There was a significant negative correlation between α pinene and the other three components and a significant positive correlation between β pinene and the two diterpenes. The family ranking and genetic gain suggested that it is possible to improve the contents of main resin components of slash pine through genetic breeding selection.
【 授权许可】
Unknown
Copyright © 2023 Ding, Li, Zhang, Diao, Luan and Jiang
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202310108608412ZK.pdf | 782KB | download |