Key traits influencing the resistance of Eucalyptus camaldulensis to wind damage in coastal areas of South China

桉树 赤桉 抗性(生态学) 台风 主成分分析 环境科学 路径分析(统计学) 林木育种 生物 农学 地理 植物 木本植物 数学 统计 气象学
作者
Xiuhua Shang,Peijian Zhang,Siwei Li,Youshuang Wang,Zhihua Wu
出处
期刊:Frontiers in Plant Science [Frontiers Media]
卷期号:15: 1433670-1433670 被引量:2
标识
DOI:10.3389/fpls.2024.1433670
摘要

Aims China is one of the countries in the world most seriously affected by typhoons, which pose a great threat to the eucalyptus plantation industry. However, few studies have comprehensively accounted for the impact of key traits on the wind damage/resistance of eucalyptus. Methods To identify the key factors affecting the wind resistance of eucalyptus, 20 eucalyptus genotypes were selected; a total of 18 traits, including the wind damage index, growth traits, and wood traits, were measured, and the wind resistance was determined via the tree-pulling test. Results Correlation, principal component, canonical correlation, and path analyses were performed to evaluate these traits. Correlation analysis revealed that the wind resistance of eucalyptus plants was related to the tree height, volume, and duration of stress wave propagation. Principal components and tree-pulling variables were further used for correlation and path analyses. Canonical correlation analysis and the PA-OV model showed that holocellulose and lignin contents and fiber width, as well as growth traits, were important factors affecting the stability of standing trees under typhoon conditions. The key traits influencing the wind resistance of Eucalyptu s camaldulensis , which may provide a reference for evaluating the wind resistance of Eucalyptus varieties for forest management, were identified. Conclusion This study provides a knowledge base for forest management and planning in typhoon-prone coastal areas, and provides a theoretical basis for the breeding and genetically improving eucalyptus stocks based on wind resistance characteristics.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xy完成签到,获得积分10
刚刚
苗苗完成签到 ,获得积分10
刚刚
刚刚
琉璃慕倾君完成签到,获得积分10
1秒前
1秒前
1秒前
杨宝仪发布了新的文献求助10
1秒前
小毛逗发布了新的文献求助10
1秒前
完美世界应助小小冯采纳,获得10
1秒前
愤怒的小白菜完成签到,获得积分10
1秒前
molihuakai应助陈晓钱采纳,获得10
1秒前
悦耳寒松完成签到,获得积分10
2秒前
2秒前
酷酷的小钟完成签到,获得积分10
2秒前
3秒前
平常的剑完成签到 ,获得积分10
3秒前
JUZI完成签到,获得积分10
3秒前
小马甲应助YoungLee采纳,获得10
3秒前
复杂的宛白完成签到 ,获得积分10
3秒前
雪流星发布了新的文献求助50
3秒前
李健应助小小采纳,获得50
3秒前
Usky发布了新的文献求助10
4秒前
研友_LOojmL完成签到,获得积分10
5秒前
li完成签到,获得积分10
5秒前
w1245完成签到 ,获得积分10
5秒前
wuhao完成签到,获得积分10
5秒前
5秒前
戴鹿角王冠的拉斯特完成签到,获得积分10
5秒前
5秒前
yuan完成签到 ,获得积分10
6秒前
6秒前
唐子扬完成签到,获得积分10
6秒前
melody发布了新的文献求助10
6秒前
烟花应助ldy采纳,获得10
7秒前
baozeNG完成签到,获得积分10
7秒前
chenu完成签到 ,获得积分0
8秒前
8秒前
小麦完成签到 ,获得积分10
8秒前
8秒前
miaxj完成签到,获得积分10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7755086
求助须知:如何正确求助?哪些是违规求助? 9301406
关于积分的说明 20263385
捐赠科研通 7337342
什么是DOI,文献DOI怎么找? 3311034
关于科研通互助平台的介绍 2462133
邀请新用户注册赠送积分活动 2324313