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植物研究 ›› 2019, Vol. 39 ›› Issue (6): 853-862.doi: 10.7525/j.issn.1673-5102.2019.06.007

• 研究报告 • 上一篇    下一篇

云南松苗木生长与生物量的相关性及通径分析

蔡年辉1,2, 王大玮2, 黄文学3, 吴俊文1, 王军民1, 陈诗1, 许玉兰1,2, 段安安2   

  1. 1. 西南林业大学西南山地森林资源保育与利用教育部重点实验室, 昆明 650224;
    2. 西南林业大学云南省高校林木遗传改良与繁育重点实验室, 昆明 650224;
    3. 习水县林业局, 习水 564600
  • 收稿日期:2019-01-17 出版日期:2019-11-05 发布日期:2019-11-16
  • 作者简介:蔡年辉(1975-),男,博士研究生,副教授,主要从事森林培育的研究。
  • 基金资助:
    国家自然科学基金(31760204,31860203)

Correlation and Path Analysis on Growth Traits and Biomass of Pinus yunnanensis Seedlings

CAI Nian-Hui1,2, WANG Da-Wei2, HUANG Wen-Xue3, WU Jun-Wen1, WANG Jun-Min1, CHEN Shi1, XU Yu-Lan1,2, DUAN An-An2   

  1. 1. Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Southwest Forestry University, Ministry of Education, Kunming 650224;
    2. Key Laboratory for Forest Genetic and Tree Improvement&Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming 650224;
    3. Forestry Bureau of Xishui Country, Xishui 564600
  • Received:2019-01-17 Online:2019-11-05 Published:2019-11-16
  • Supported by:
    National Natural Science Foundation of China(31760204,31860203)

摘要: 为了解云南松苗木生长对生物量的影响程度和相对重要性,以采自云南省昆明市宜良县禄丰村林场种子培育的2年生云南松苗木为材料,对苗高、地径、主根长、侧根长、针叶长和侧根数6个生长性状及各组分生物量进行测定,运用相关性分析和逐步回归分析剔除了对生物量影响不大的性状,在此基础上采用通径分析方法研究了云南松苗木生长性状指标与生物量指标间的关系。结果表明:云南松苗木生长性状和生物量之间均呈现极显著的正相关关系。各生长性状对生物量均有直接或间接的正向效应,直接影响云南松苗木生物量的优势因素为地径和苗高,针叶长、侧根长和主根长对生物量的影响也起正向效应。各生长性状对生物量的直接效应均较大,而通过其他性状的间接效应均较小,其中侧根长通过其他性状对生物量产生的间接影响最大。依据相关性分析和通径分析,建立了云南松各组分生物量与生长性状之间的数学模型,可用于云南松苗期生物量的估测。

关键词: 云南松, 生长性状, 生物量, 相关性分析, 通径分析

Abstract: To study the relationship between growth traits and biomass of Pinus yunnanensis Franch. seedlings, 2-year seedling in the greenhouse of Southwest Forestry University were cultivated whose seeds were collected from Lufeng, Yiliang and Kunming, Yunnan Province. The growth traits (seedling height, ground line diameter, major root length, lateral root length, needle length and number of lateral root) and biomass were measured and analyzed. Correlation and path analysis were used in the relationship between them. The growth traits and biomass of P.yunnanensis seedlings were significantly positively correlated with each other. By path analysis, there was the positive direct path coefficient to the biomass of each component for the each growth traits. The most effect on the biomass of each component were the ground line diameter and seedling height. Needle length, lateral root length and major root length had the positive direct path coefficient to the biomass of each component. The direct path coefficient to the biomass of each component were obviously bigger than indirect path coefficient. The lateral root length has the biggest indirect effect on the biomass of each component through other traits. According to the correlation and path analysis, the biomass model were set up by using growth traits, which can be used in estimating the biomass for P.yunnanensis seedlings.

Key words: Pinus yunnanensis Franch., growth traits, biomass, correlation analysis, path analysis

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