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 ...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(P<0.01).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.展开更多
基金the Forestry Science Technology and Development Project(KJZXSA2019046)Fundamental Research Funds for the Central Universities(2572017DA02).
文摘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(P<0.01).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.
