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[目的]对8个鲜食大豆品种的10个性状进行调查,利用主成分分析主要载荷因子,并构建与鲜荚产量的多元回归分析方程。[方法]通过对8个鲜食大豆品种10个有关性状因素进行主成分分析,找出了与鲜食大豆鲜荚产量相关的性状。[结果]经主成分分析挑选出单株荚重、百粒重、单株荚数3个主要因子与鲜食大豆产量关系密切,并证明与鲜食大豆产量呈线性关系,可进行多元回归分析。建立了鲜食大豆产量关系的数学表达公式。[结论]单株荚重、百粒重、单株荚数3个性状主要影响鲜食大豆的鲜荚产量,其数学表达方程为y=816.732+4.145X6-0.718X8-0.985X9(X6:单株荚重,X8:百粒重,X9:单株荚数)。
[Objective] The research aimed to investigate 10 traits of 8 edible soybean cultivars, and analyzed the main load factors by principal component analysis and constructed multiple regression analysis equations with fresh pods yield. [Method] Through principal component analysis of 10 related traits factors of 8 fresh soybean varieties, traits related with fresh pods yield of fresh soybean were found out. [Result] The principal component analysis selected three main factors of pod weight, 100-grain weight and pods per plant, which were closely related with the yield of fresh soybean, and proved to be linear with fresh soybean yield. Multiple regression analysis . A mathematic expression formula was established for the relationship between yield and fresh soybean yield. [Conclusion] Three characters of pod weight, 100-grain weight and pods per plant mainly affected the fresh pod yield of fresh soybean. The mathematical expression equation was y = 816.732 + 4.145X6-0.718X8-0.985X9 Pods weight, X8: hundred weight, X9: pods per plant).