中文摘要：

应用DPS统计软件对19个花生新品系的主要农艺性状和产量性状进行相关性、灰色关联度等分析.结果表明,单株结果数、单株果重、总分枝数、结果枝数变异系数较大;单株荚果产量与主茎高、侧枝长、总分枝数、百果重、百仁重呈负相关,与结果枝数、单枝结果数、出仁率呈正相关;聚类分析可将19个花生品种划分为3类,第1、第3类表现良好,值得推广种植.灰色关联度分析表明,百仁重、百果重、出仁率、单株果重、总分枝数等性状是影响花生产量的主导因素.在花生高产育种中,应以其为主攻目标,提高花生后代的有效选择,加速高产育种进程.

英文摘要：

About 19 peanut varieties were analysed using a statistical software DPS. The results showed that large aberrance coefficient existed among the pod number per plant, pod weight per plant, branches per plant and effective branches. The pod yield per plant had a negative correlation with five character- istics including plant height, branch length, branches per plant, 100-pod weight and 100-kernel weight, but a positive correlation with effective branches,pod number per plant, and shelling percent- age. The nineteen peanut varieties can be divided into three categories with cluster analysis. Group 1 and group 3 had excellent agronomic traits and were recommended for expansion. Gray correlation a- nalysis showed that 100-pod weight and 100-kernel weight, shelling percentage, pod yield per plant, branches per plant and other traits are the dominant factors affecting peanut production. In the future, they should be the main target to improve the effective choice of peanut plants and to accelerate the breeding process.