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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
【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。
【Abstract】 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.
【Key words】 Red-seed watermelon; Inbred line; Quantitative character; Self-organizing competitive neural networks; Cluster analysis;
- 【文献出处】 农业网络信息 ,Agriculture Network Information , 编辑部邮箱 ,2008年05期
- 【分类号】S126;S651
- 【被引频次】4
- 【下载频次】119