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Evaluation of Some Morphological and Yield Component Traits Relationship to Soybean Seed Yield.

机译:评价一些形态和产量构成特征与大豆种子产量的关系。

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Studies on soybean seed yield in relation to morphological and yield component traits under different population and phosphorus levels was carried out at the University of Ilorin Teaching and Research farm, Ilorin Lat 8029, N long 40 35 E Nigeria; over two years 2005 and 2006.Three soybean varieties at three population densities and four phosphorus levels were factorially combined in a randomized complete block and replicated four times. The result showed that the highest contribution to seed yield plant-1 was recorded in pod weight with coefficient of determination R2= 0.998 while the lowest was observed in harvest index with R2 value of 0.078. Number of seeds and pods plant-1 with R2 value of 0.937 and 0.884 respectively, ranked second and third in their contributions to soybean seed yield plant-1 in the study area. The regression equations for the combined morphological and yield component traits further showed that yield component traits with R2 value of 0.999 contributed more to seed yield than morphological traits with R2 value of 0.713. Invariably, the regression equation truly represented the relationships. Of the yield components traits, pods weight, number of pods and seeds plants-1 contributed more to the determination of soybean seed yield plant-1 than the other measured traits. These traits are therefore, considered as good indices for soybean breeders in varietal development, improvement and selection programme. It could also be a good indicator for soybean producers in variety selection for planting to increase yield in the study area. Key words: Coefficient of determination, yield components, pod, soybean, seed yield.
机译:在伊洛林大学教学与研究农场Ilorin Lat 8029,N long 40 35 E Nigeria,对不同种群和磷水平下大豆种子产量与形态和产量构成特征的关系进行了研究。在2005年和2006年的两年时间里,将三个人口密度和四个磷水平的三个大豆品种分解随机组合成完整因子,并重复了四次。结果表明,对豆荚产量的最高贡献记录在豆荚重量中,测定系数R2 = 0.998,而收获指数最低,R2值为0.078。 R2值分别为0.937和0.884的种子和豆荚植物1的数量,在研究区域对大豆种子产量plant-1的贡献中分别排名第二和第三。形态和产量成分性状组合的回归方程进一步表明,R2值为0.999的产量成分性状对种子产量的贡献大于R2值为0.713的形态性状。回归方程始终代表关系。在产量构成特征中,豆荚重量,豆荚和种子植物-1的数量对大豆种子产量植物-1的确定比其他测量性状的贡献更大。因此,这些性状被认为是大豆育种者在品种开发,改良和选择计划中的良好指标。这也可能是大豆生产者选择品种以增加研究区域单产的良好指标。关键词:测定系数,产量构成,豆荚,大豆,种子产量。

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