抗微红梢斑螟高产脂思茅松优良无性系选择
Superior Clone Selection of Pinus kesiya var.langbianensis with High Resin Yield and Resistance to Dioryctria rubella
李宏斌 1李思广 2杨斌2
作者信息
- 1. 普洱市职业教育中心,云南 普洱 665000
- 2. 云南省林业和草原科学院,云南 昆明 650201;国家林业草原思茅松工程技术研究中心,云南 思茅 665000
- 折叠
摘要
通过测定40个思茅松无性系及1个对照的产脂量、受害梢率及松脂化学组分,研究思茅松无性系间的遗传变异.结果表明,所有无性系产脂量均大于对照产量,抗虫性遗传力为 0.62,思茅松无性系间抗虫性存在极显著差异.初步选择出5 个抗微红梢斑螟高产脂思茅松优良无性系,其平均产脂量是对照的3 倍多,其平均受害梢率仅为1.12%,约为对照的19%.受害梢率与3-蒈烯、γ-松油烯呈极显著正相关,与石竹烯、长叶烯和β-长叶蒎烯呈极显著负相关,表明3-蒈烯、γ-松油烯含量高的无性系易受红梢斑螟危害,而石竹烯、长叶烯和β-长叶蒎烯含量高的无性系抗虫性较高,这3 种化学组分可作为思茅松抗虫指标.
Abstract
This study measured the resin yield,damaged treetop rate,resin chemical composition of 40 high-resin-yield clones and a control of Pinus kesiya var.langbianensis,and analyzed the genetic varia-tion between clones.The results indicated that the resin yield of all the clones were higher than that of the control,the heritability of insect resistance was 0.62.The insect resistance of Pinus kesiya var.langbi-anensis clones was significantly different.5 high-resin-yield clones with resistance to Dioryctria rubella were preliminary selected.The average resin yield of the selected closes was more than 3 times of the control,the average damaged treetop rate was only 1.12%,was about 19%of the control.The damaged treetop rate was significantly positively correlated with 3-carene and γ-terpinene,and significantly nega-tively correlated with caryophyllene,longifolene and β-longipinene.The results indicated that clones with high content of 3-carene and γ-terpinene were more susceptible to Dioryctria rubella,while clones with high content of caryophyllene,longifolene and β-longipinene had higher insect resistance.These three chemical components can be used as insect resistance indicators for Pinus kesiya var.langbianensis.
关键词
思茅松/优良无性系/微红梢斑螟/抗虫性/受害梢率/产脂量/化学组分Key words
Pinus kesiya var.langbianensis/superior clone/Dioryctria rubella/insect resistance/dam-aged treetop rates/resin yield/chemical components引用本文复制引用
基金项目
云南省创新团队项目(202105AE160008)
云南省林业和草原科学院创新基金(MS2020-01)
云南省林业和草原科学院创新团队()
出版年
2024
NETL
NSTL
万方数据