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首页> 外文期刊>Research Journal of Fisheries and Hydrobiology >Stability for BRRI developed Promising Hybrid Rice for Yield and it’s Related traits
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Stability for BRRI developed Promising Hybrid Rice for Yield and it’s Related traits

机译:BRRI的稳定性开发了前景广阔的杂交水稻,以提高产量及其相关性状

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The study was performed to analyze the genotype-by-environment (G x E) interaction for thirteen (13) promising rice hybrids over 5 locations in Bangladesh. The purpose of this study was to evaluate the magnitude of stability and adaptability of the genotypes in different regions of the country in different environmental status. Multivariate analysis (MANOVA) technique was used for grain yield, days to 50% flowering and number of panicles per m2 where two genotypes used as local check. The AMMI (Additive Main effects and Multiplicative Interaction) model was used to assess the interaction and to select better performing ones having higher yield and other potential attributes. Considering the mean, regression coefficient (bi) and deviation from regression (S2di), it was evident that all the genotypes showed different responses of adaptability under different environmental conditions. Analysis of variance (ANOVA) showed high significant effects of environments, genotypes and G x E for grain yield, days to 50% flowering and number of panicle per m2. Among the hybrids BRRI 10A/BRRI 12R, BRRI 9A/BRRI 15R, BRRI hybrid dhan2, BRRI dhan28 and BRRI dhan29 found highly stable across the environments. BRRI 10A/BRRI 12R, BRRI 9A/BRRI 15R, II32A/BRRI 15R, II32A/BRRI 10R and BRRI hybrid dhan3 are highly stable as well as high yielder. BRRI hybrid dhan2 also highest yielder and stable across environment. Comilla and Shatkhira showed high mean with high negative interaction. Gazipur had moderate yielder with high positive interaction and Barisal given negligible interaction and found highly suitable region in Bangladesh for hybrid rice cultivation.
机译:进行这项研究是为了分析孟加拉国5个地区的十三(13)个有前途的水稻杂交种的环境-基因型(G x E)相互作用。这项研究的目的是评估该国不同地区处于不同环境状况的基因型的稳定性和适应性的大小。多变量分析(MANOVA)技术用于谷物产量,开花至50%的天数和每平方米的穗数,其中两种基因型用作局部检查。 AMMI(可加主效应和乘性相互作用)模型用于评估相互作用并选择性能更高,产量更高和其他潜在属性的模型。考虑到均值,回归系数(bi)和偏离偏差(S2di),很明显,所有基因型在不同环境条件下均显示出不同的适应性响应。方差分析(ANOVA)显示,环境,基因型和G x E对谷物产量,开花至50%的开花天数和每平方米穗数的影响很大。在混合动力BRRI 10A / BRRI 12R,BRRI 9A / BRRI 15R,BRRI混合动力dhan2,BRRI dhan28和BRRI dhan29中,它们在整个环境中都非常稳定。 BRRI 10A / BRRI 12R,BRRI 9A / BRRI 15R,II32A / BRRI 15R,II32A / BRRI 10R和BRRI杂种dhan3既稳定又高产。 BRRI杂交dhan2的产量也最高,并且在整个环境中都很稳定。 Comilla和Shatkhira显示出较高的均值和较高的负面互动。 Gazipur的产量中等,正向相互作用高,而Barisal的相互作用可忽略不计,并且在孟加拉国发现了高度适合杂交水稻种植的地区。

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