Clonal variations in cone,seed and nut traits in a Pinus koraiensis seed orchard in Northeast China

作     者：David Kombi Kaviriri Yuxi Li Dawei Zhang Hongtao Li Zuoyi Fan Jingyuan Wang Lianfu Wang Qi Wang Deqiu Wang Vincent L.Chiang Xiyang Zhao David Kombi Kaviriri;Yuxi Li;Dawei Zhang;Hongtao Li;Zuoyi Fan;Jingyuan Wang;Lianfu Wang;Qi Wang;Deqiu Wang;Vincent L.Chiang;Xiyang Zhao

作者机构：State Key Laboratory of Tree Genetics and BreedingNortheast Forestry UniversityHarbin 150040People’s Republic of China Forest Cultivation CenterLinjiang Forestry Bureau of JilinLinjiang 134600People’s Republic of China Department of Natural Resources ManagementFaculty of Agricultural SciencesUniversity of KinshasaKinshasaDemocratic Republic of Congo Department of ForestryFaculty of Agricultural SciencesSemuliki Offi cial UniversityBeniDemocratic Republic of Congo 

出 版 物：《Journal of Forestry Research》 (林业研究（英文版）)

年 卷 期：2021年第32卷第1期

页      面：171-179页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0907[农学-林学] 08[工学] 0829[工学-林业工程] 0901[农学-作物学] 

基　　金：the Forestry Science Technology and Development Project(KJZXSA2019046) Fundamental Research Funds for the Central Universities(2572017DA02). 

主　　题：Pinus koraiensis Clones Cone Seed Nut traits Principal component analysis 

摘      要：Korean pine(Pinus koraiensis Siebold&Zucc.)in Northeastern China has been genetically improved to increase seed yields in addition to timber.To assess seed yield variability and select highly productive clones,14 cone,seed and nut traits were measured and analyzed.Variance analysis showed that all clones were signifi cantly different in various traits(P0.01).Phenotypic coeffi cients of variation and repeatability of traits ranged from 9.1 to 34.4%and from 27.5 to 97.7%,respectively.Except for the cone layer and cone seed numbers,the other traits were positively or negatively correlated.Three principal components were identifi ed.Seed and nut traits were the most important traits in the fi rst principal component,and cone traits more important in the second.Using correlation and principal component analyses,cone number and other traits were selected to evaluate materials.Twenty-two clones were selected using a selection rate of 10%based on cone number independently or other combined traits.The genetic gain for diff erent traits ranged from 6.2 to 24.3%.The selected elite clones can supply seedlings for reforestation and the selection method can provide a theoretical basis for selection in other conifer species.