河南省小粒花生品种主要农艺性状与产量的相关及通径分析  

Correlation and Path Analysis between Main Agronomic Characteristics and Yield of Smallseed Peanut in Henan

作　　者：朱亚娟 甄志高 赵金环 王晓林 崔建民 

机构地区：[1]驻马店市农业科学院,油料作物研究所,河南驻马店463000

出　　处：《湖南农业科学》2016年第4期34-36,39,共4页Hunan Agricultural Sciences

基　　金：河南省重大科技专项(141100110600);国家花生产业技术体系(CARS-14)

摘　　要：采用相关和通径分析的方法,对2014年河南省小粒花生品种区试的15个参试品种(系)的9个主要农艺性状及单株生产力进行统计分析。变异分析结果表明,参试品系的主茎高、侧枝长、总分枝数、结果枝数、单株饱果数、百果重、百仁重、出米率和单株生产力都有较大的变异幅度,生育期变异系数最小。相关分析结果表明,9个农艺性状中只有单株饱果数与单株生产力呈极显著的正相关,其他性状与单株生产力的相关性均不显著。通径分析表明,结果枝数对产量的直接通径系数最大,其次是单株饱果数,两者是影响小粒花生产量的主要因素。通过逐步回归分析建立的估测单株生产力的最优回归方程为Y=6.274+0.9X6,回归系数达极显著水平,对单株生产力的预测具有一定的应用价值。The correlation and path analysis on 9 main agronomic characteristics and productivity per plant of 15 small-seed varieties（lines） in regional test of Henan Province had been carried out in 2014. The Variation analysis showed that the variation coefficient of growing period was the smallest, while the variation range of stem height, branch length, total branching number, number of branches with pods, pods number per plant, 100-pod weight, 100-seed weight, shelling percentage and productivity per plant were big. The correlation analysis showed that the positive correlation coefficient between pods number per plant and productivity per plant was very significant, and the other traits had no significant correlation with it. The path analysis showed that number of branches with pods had the greatest direct path coefficient, which followed by pods number per plant, and the two characters were the leading factor affecting yield. The optimal regression equation established by stepwise regression analysis for estimating productivity per plant was Y=6.274＋0.9X6, the regression coefficient was very significant, which could be used to predict the productivity per plant for small-seed peanut

关 键 词：小粒花生 农艺性状 单株生产力 相关分析 通径分析 

分 类 号：S565.2[农业科学—作物学]