基于自组织竞争神经网络的红籽瓜自交系聚类分析  

The cluster analysis of red-seed watermelon inbred line based on self-organizing competitive neural networks

作　　者：程磊[1] 李绍稳[2] 樊建峰[1] 汪伟伟[1] 

机构地区：[1]安徽农业大学园艺学院,安徽合肥230036 [2]安徽农业大学信息学院,安徽合肥230036

出　　处：《农业网络信息》2008年第5期27-30,共4页Agriculture Network Information

基　　金：安徽省自然科学基金项目(01041108)资助

摘　　要：自组织竞争神经网络是一种具有强大的自学习功能、良好的自组织性和自适应性的聚类方法,能够迅速得到聚类结果。本文基于自组织竞争神经网络的聚类功能,依据6个红色籽用西瓜数量性状特征指标,将47份自交系分为4类。聚类结果表明,不同自交系类群间的遗传变异较大,在配置杂交组合时,应尽量在不同类群间选配亲本,为红籽瓜育种提供理论依据。Self-organizing competitive neural networks is a kind of stong self-lerning, self-organizing and self-suitable cluster method, which can quickly gain the cluster result. Based on the cluster function of self-organizing competitive neural networks and six characters of red-seed watermelon, 47 inbrde lines are divided into 4 species. The cluster results indicate that the different clusters have more inheritance variation. We ought to choose parents from different clusters when configuring hybrid combination, which provides theory basis for red-seed watermelon breeding.

关 键 词：红色籽用西瓜 自交系 数量性状 自组织竞争神经网络 聚类分析 

分 类 号：S126[农业科学—农业基础科学]