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首页> 外文期刊>Legume research >Character association and path coefficient analysis for yield components and grain yield in soybean [Glycine max (L) Merill.]
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Character association and path coefficient analysis for yield components and grain yield in soybean [Glycine max (L) Merill.]

机译:大豆产量组分及谷物产量及谷物产量的特征关联及路径系数分析[Glycine Max(L)MERILL。

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Field experiment was conducted during kharif2014 at the Agricultural Research Station Farm, Minjibir, Bayero University, Kano. The study was conducted to know thenature and magnitude of the associations of some yield attributing characters on grain yield in Soybean. There are eighteen treatments consisting of two levels (inoculated and non-inoculated) of rhizobium inoculation, three levels (0, 10, and 20 kg N ha(-1)) of nitrogen and three levels (0, 30, and 60 kg P2O5 ha(-1)) of phosphorus. These were laid in split-split plot design with three replications. Results of the study showed significant (p < 0.01) positive associations between all the measured characters and grain yield. The path analysis also revealed that number ofpods per plant has the greatest direct effect on grain yield. The greatest combined contributions of yield characters to grain yield in soybean were observed from number ofpods per plant and number seeds per pod. Based on these findings,. attention can be given towards improvement of number of pods per,plant and number of seeds per pod as criteria for selection of soybean for increased grain yield.
机译:田地实验在Kharif2014期间进行了农业研究站农场,Minjibir,Kano,Kano。该研究进行了了解大豆籽粒产量的一些产量归因特征的发布和幅度。有18种治疗组成的三种水平(接种和非接种)的根状接种,三种水平(0,10和20kg N Ha(-1))的氮和三种水平(0,30和60kg p2O5 HA(-1))磷。这些是用三种复制的分裂块设计。研究结果显示所有测量的特征和谷物产量之间的显着(P <0.01)阳性关联。路径分析还显示出每株植物的数量对籽粒产量最大的直接影响。从每株植物数量的每植物数量和数量种子的数量观察到大豆籽粒产量的最大贡献。基于这些调查结果,可以对每个豆荚的每种荚,植物和种子数量的豆荚数量的报言作为大豆选择增加的标准,以增加籽粒产量。

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