西南林业大学学报2017，Vol.37Issue(2)：41-46,6.DOI:10.11929/j.issn.2095-1914.2017.02.007
基于数量化回归模型的秃杉优树选择
Selection of Superior Trees of Taiwania flousiana Based on the Multiple Entry Quantity Model
摘要
Abstract
The site factors and growth traits of 236 candidate Taiwania flousiana trees of pure forest,mingled forest,scattered wood and isolated wood in 13 counties were measured.The correlation analysis of candidate trees showed that volume could be used as the main indexes for selection of superior trees of T.flousiana.The regression equation with individual volume was established by using 6 quantitative factors including longitude,latitude,altitude,slope,the depth of black soil layer,ages of trees and 7 qualitative factors including slope aspect,slope position,slope shape,bedrock,soil type,origin,tree type.Its multiple correlation coefficient was 0.799.There was a difference between theoretical and realistic volume,the frequency of difference was in normal distribution.The superior tree selection was based on the comparison of Ⅰi and the mean value of difference I ±-standard deviation δ.The superior tree selection standards with 70％ selective ratio were as follows:Class Ⅰ superior tree,Ii ≥ I + 0.3δ,that is Ii ≥ 1.644 6.Class Ⅱ superior tree,I + 0.3δ ＞ Ii ＞ I-0.3δ,that is 1.644 6 ＞ Ii ＞-1.644 6.Class Ⅲ superior tree (normal tree),Ii ≤ I-0.3δ,that is Ii ≤-1.644 6.54 strains of class Ⅰ superior trees and 114 strains of class Ⅱ superior trees were selected by the standards.They accounted for 22.88％ and 48.31％ in all candidate superior trees respectively.The genetic gain of the class Ⅰ and class Ⅱ superior trees reached 20.82％.关键词
秃杉/优树/选择指标/多元数量化模型/材积Key words
Taiwania flousiana/superior tree/selective index/Multiple Entry Quantity Model/standing volume分类
农业科技引用本文复制引用
王庆华,段成波,杨锐铣,赵永红,孙志刚,孙宏,陈强,刘永刚,苏俊武,沈立新,刘云彩,毕波,许彦红,周筑..基于数量化回归模型的秃杉优树选择[J].西南林业大学学报,2017,37(2):41-46,6.基金项目
林业公益性行业科研专项(201104053)资助 （201104053）
云南省科技创新强省项目(2015AB007)资助. （2015AB007）
