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Genotype-by-environment interaction and stability analysis of soybean genotypes for yield and yield components across two locations in Nigeria

机译:尼日利亚两个地区大豆基因型的产量和产量构成要素的环境互作和稳定性分析

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A multilocational evaluation of 20 soybean genotypes was conducted in two distinct locations (Nsukka in Derived Savanna agro-ecology and Jalingo in Northern Guinea Savanna) of Nigeria in 2015 and 2016 cropping seasons. The experiments were laid out in an Alpha lattice design and replicated three times in each location. The main objective of the research was to determine the genotype-by-environment interaction (G x E) for specific traits and yield stability. The results revealed highly significant differences among the genotypes and locations for all the traits except for seed yield. Genotype x environmental interaction was not significant for most of the traits except days to 50% flowering indicating relative consistency in time of flowering among the genotypes across the locations and year. The genotype, Ashuku produced the highest yield in the two locations. However, the most stable genotypes across the locations were Dadinkowa and Vom while the ideal environments were Jalingo 2016 (ENV2) and Nsukka 2016 (ENV4) which produced 14.0g and14.5g, respectively. Similarly, Akwanga was discriminated as the overall best genotype across the two locations.
机译:在2015年和2016年的种植季节,分别在尼日利亚的两个不同地点(衍生大草原农业生态中的Nsukka和北几内亚热带稀树草原的Jalingo)对20种大豆基因型进行了多地点评估。实验以Alpha晶格设计进行布局,并在每个位置重复3次。该研究的主要目的是确定特定性状和产量稳定性的基因-环境相互作用(G x E)。结果表明,除种子产量外,所有性状的基因型和位置之间存在显着差异。对于大多数性状而言,基因型x环境相互作用并不显着,除了开花至50%的天数表明在各个地点和年份的基因型之间开花时间相对一致。基因型Ashuku在两个地方的产量最高。然而,各地的最稳定的基因型是Dadinkowa和Vom,而理想的环境是Jalingo 2016(ENV2)和Nsukka 2016(ENV4),分别产生14.0g和14.5g。同样,阿克旺加(Akwanga)被判为两个地点的总体最佳基因型。

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