为了评价12个花生品种农艺性状间及与产量之间的关联程度，采用灰关联分析方法，研究了7个花生农艺性状及产量的灰关联度，通过与构建“参考品种”的加权灰关联度比较，综合评价12个参试品种的增产潜力。结果表明，对花生产量性状灰关联程度最大的相关农艺性状是生育期>结果枝数>单株果数，与百果重关联度较大的性状为结果枝数>生育期，与结果枝数关联度较大的指标是总分枝数>单株果数>主茎高，在实际育种中应协调各性状对产量的促进作用，提高育种效率；各品种的加权灰关联度评价函数结果为‘汾花3号’>‘鲁花13号’>‘晋花6号’>‘天府3号’，其结论可作为花生新品种引种栽培的参考依据，有效服务于农业生产实践。

In order to overall evaluate correlation degree in agronomic traits and yield of twelve peanut varieties, we studied seven peanut agronomic traits and yield with the grey relational analysis method. Finally, we used a varieties assessment function to evaluate yield- increasing potential of twelve peanut varieties, compared with reference variety in weighted correlation degree. The results showed that, the growth period, pod branches and pods per plant had most correlation degree with yield. The pod branches and growth period showed most correlation degree with 100-kernel weight. The number of pod branches, pods per plant and main stem height had most correlation degree with pod branches. In order to improve the efficiency of breeding, we could coordinate acceleration of yield correlated with other traits in plant breeding practice. The weighted correlation function evaluation showed that‘Fenhua3’,‘Luhua13’,‘Jinhua6’and‘Tianfu3’had most yieldincreasing potential. The conclusion could be used as reference point for new peanut varieties introduced cultivation, which also provided better service in local agricultural production.