In breeding programs, estimation of increase in yield based on changes in effective plant traits is of great importance, which can be identified using regression modeling. The regression model refers to the prediction of the value of a dependent variable from the values of one or more independent variables. This study evaluated morphological traits of maize (FAO410) on six treatments of fertilizer in 2 years in Debrecen University by the regression model. This experiment was RCBD with four replications in the Latokep zone. Treatments were included in different levels of fertilizer: nitrogen, phosphor, and potassium. The regression model was significant at one percent that showed morphological traits have a straight effect on the yield of maize in FAO410 and FAO340. Grain yield had a positive correlation with plant height, outer ear diameter, the weight of ear, weight of cob, number of leaves, weight of all seeds in each ear, the weight of one thousand seeds on FAO410, and grain yield had a positive correlation with plant height, stem diameter, outer ear diameter, the weight of ear, weight of cob, number of seeds in each column, weight of all seeds in each ear, weight of the fresh plant in a hectare, the weight of one thousand seeds on FAO340 too. Cluster analysis showed the traits classification on two groups on hybrids. Reach maximum grain yield require the evaluation of yield components and their effect.

中文翻译：

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使用回归模型评估与FAO410和FAO340杂种谷物产量相关的植物特征

在育种计划中，根据有效植物性状的变化估计产量增加非常重要，这可以使用回归模型进行识别。回归模型是指从一个或多个自变量的值预测因变量的值。本研究通过回归模型对德布勒森大学2年6次施肥处理的玉米（FAO410）形态性状进行评价。该实验是在 Latokep 区域进行四次重复的 RCBD。处理包括在不同水平的肥料中：氮、磷和钾。回归模型在 1% 处显着，表明形态性状对 FAO410 和 FAO340 中的玉米产量有直接影响。籽粒产量与株高、外穗直径、穗重、穗重、叶数、每穗粒重、FAO410千粒重、籽粒产量与株高、茎粗、外穗径、粒重呈正相关。穗数，穗轴重量，每列种子数，每穗所有种子重量，每公顷新鲜植物的重量，FAO340上千粒种子的重量。聚类分析显示了杂种上两组的性状分类。达到最大谷物产量需要评估产量成分及其影响。每列中的种子数，每穗中所有种子的重量，每公顷新鲜植物的重量，FAO340 上千粒种子的重量。聚类分析显示了杂种上两组的性状分类。达到最大谷物产量需要评估产量成分及其影响。每列中的种子数，每穗中所有种子的重量，每公顷新鲜植物的重量，FAO340 上千粒种子的重量。聚类分析显示了杂种上两组的性状分类。达到最大谷物产量需要评估产量成分及其影响。