摘要
根据选自福建、浙江等５个油桐主产省（区）７６个油桐优良单株无性系在金华试验点的生长表现，按照其中已测定含油率、产果量和其它性状的６５个油桐无性系样本，建立了生产力评级的Ｆｉｓｈｅｒ判别模型，该模型对分属Ⅰ、Ⅱ、Ⅲ、Ⅳ４个产油量水平的各无性系的回判正判率分别达到了１００％、１００％、８２％、１００％。进而应用该模型预测了未进行气干果含油率测定的其它１１个无性的生产力等级。据此，从７６个无性系中筛选出４４、４８、５４、５６号４个高产优良无性系。
According to the growth of 76 excellent individualtree clones of Aleurites fordii 〔selected from 5 mainly productive provinces (autonomous regions) of Fujian,Zhejiang,etc.〕 in Jinhua experimental point and to the samples of 65 A.fordii clones (of the 76 ones) whose several characters had been determined such as oily rate and fruit yield ,the Fisher discriminant model of productivity grading was set up. No.44,No.48,No.54 and No.56 highyield excellent clones were screened from the 76 ones by adopting the model.
出处
《福建林业科技》
北大核心
1998年第2期11-14,共4页
Journal of Fujian Forestry Science and Technology
基金
"浙江省油桐育种程序系列研究"项目
关键词
油桐
判别分析
生产力评级
优良无性系
Aleurites fordii
Discriminant analysis
Productivity grading
Excellent clone
