摘要
【目的】探讨整合空间与竞争效应的模型对不同林龄阶段杉木生长性状遗传参数评估的影响,为提高育种值预测和优良单株选择的准确性提供理论依据。【方法】以40年生杉木自由授粉子代测定林为研究对象,以幼林龄阶段、中林龄阶段和过成熟林阶段的胸径和树高为目标性状,基于最佳线性无偏估计的混合线性模型方法,分别拟合试验设计效应、空间效应、竞争效应、空间-竞争效应,利用赤池信息准则评价模型,对比不同模型估计的遗传参数和育种值。【结果】1)拟合空间-竞争效应平均提高生长性状狭义遗传力估计值的39.72%。针对不同林龄阶段胸径性状的遗传参数,拟合空间-竞争混合模型的加性遗传方差相比标准混合线性模型、空间模型和竞争模型分别提高4.46%、26.95%和35.87%,残差分别降低21.95%、26.81%和20.19%;树高性状空间-竞争模型的加性遗传方差1991和2020年相比基本模型提高10.73%和1.22%,残差降低12.75%和33.83%。2)竞争强度与林分个体间的距离有关,杉木生长性状受到相同行列个体的竞争效应要显著高于对角线方向个体。3)生长性状存在竞争效应,且径生长大于高生长。同一性状的加性-竞争效应相关表明,杉木生长性状在不同林龄均表现出竞争效应,幼林龄阶段径生长受到的竞争效应大于高生长;中林龄阶段生长性状表现出强烈的竞争相关,结合残差相关结果发现,杉木在中林龄表现出强烈的竞争效应。个体间胸径的竞争影响大于树高间的竞争影响,胸径比树高更能感受到竞争的敏感程度。4)在5%入选率下,育种值平均预测准确性为0.559。4种模型分别选出23个个体,其中78.3%的入选单株重复。基本模型、空间模型、竞争模型和空间-竞争模型的入选单株胸径均值分别为37.3、37.2、37.3和37.3 cm,遗传增益分别为12.73%、13.86%和13.32%、14.37%。【结论】采用竞争-空间�
【Objective】Genetic testing is an important approach for genetic improvement of forest trees and can be used to estimate genetic parameters and select elite trees.This study is to explore the effects of different models by combining spatial and competition effects on the estimation of genetic parameters of growth traits in Chinese fir(Cunninghamia lanceolate)at different forest age stages,in order to provide a theoretical basis for improving the accuracy of breeding value prediction and selection of elite trees.【Method】This study was conducted in a 40-year-old open-pollinated progeny trial forest in the Yangkou State Forest Farm in Fujian Province,and a mixed linear model was used to fit the effects of experimental design,spatial,competition,spatial-competition effects for diameter at breast height(DBH)and tree heights measured at different tree ages from the 40-year-old Chinese fir trial.The Akaike information criterion(AIC)was used to evaluate different models,and compare genetic parameters and breeding values of the different models.【Result】1)The spatial-competition effect of fit increased by an average of 39.72%of the narrow heritability estimates of growth traits.The additive genetic variance component of DBH in the mixed spatial-competition model increased 4.46%,26.95%and 35.87%compared to that of the standard mixed linear model(MLM),spatial model,and competition model,respectively.While the residual variances of DBH in the mixed spatial-competition model decreased by 21.95%,26.81%and 20.19%compared to those of the standard mixed linear model,spatial model,and competition model,respectively.The additive genetic variance of the tree height in the spatial-competition model was 10.73%and 1.22%higher than that in MLM in 1991 and 2020,respectively,and the residual variance decreased by 12.75%and 33.83%,respectively.2)The intensity of competition was related to the distance between stand individuals.The residual correlation among individuals showed that the competition effect of growth traits in the sa
作者
史月冬
郑宏
叶代全
施季森
边黎明
Shi Yuedong;Zheng Hong;Ye Daiquan;Shi Jisen;Bian Liming(Key Laboratory of Forest Genetics&Biotechnology of the Ministry of Education,Nanjing Forestry University,Nanjing 210037;Co-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037;Yangkou State Forest Farm,Fujian Province,Nanping 353000)
出处
《林业科学》
EI
CAS
CSCD
北大核心
2022年第5期75-84,共10页
Scientia Silvae Sinicae
基金
国家自然科学基金面上项目(32171818)
福建省林木种苗科技攻关七期项目(闽林科便函[2016]35号)。
关键词
竞争效应
空间效应
混合线性模型
遗传参数
杉木
competition effects
spatial effects
mixed linear model
genetic parameters
Chinese fir
