首页> 外文期刊>Fresenius environmental bulletin >EVOLOTION BARLEY GENOTYPES IN MULTI-ENVIRONMENT TRIALS BY AMMI MODEL AND GGE BIPLOT ANALYSIS
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EVOLOTION BARLEY GENOTYPES IN MULTI-ENVIRONMENT TRIALS BY AMMI MODEL AND GGE BIPLOT ANALYSIS

机译:利用AMMI模型和GGE绘制分析在多环境试验中进化大麦基因型

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The uniformity of genotypes are significant for crop breeding program decisions to improve new varieties. The AMMI (Additive main effects and multiplicative interaction) analysis and Genotype x Environment Interaction (GEI) is make to estimation grain yield and understands GxE interaction patterns by researches as differential ranking of variety yields in multi-environment trials. Therefore, fifteen barley advanced line and six national cultivars and four foreign varieties (registered in abroad) were used in the study. The experiments were performed according to a complete randomized block design with four replications at five environments during two years. The stability and superiority of genotypes for yield and other traits were determined using AMMI and GGE biplot analysis. Factors (G, GE, and GEI) were found to be highly significant (P < 0.01) for grain yield. AMMI analysis indicated that the major contributions to treatment sum of squares were environments (98.52%), GE (0.45%) and genotypes (1.02%), respectively, suggesting that grain yield of genotypes were effected environmental conditions. The GGE biplot indicated that PCA 1 axes (Principal component) was significant as P<0.01 and supplied to 49.36% of complete GxE interaction. The AMMI indicated that G8 and G23 desirable and stabile genotypes for grain yield in multienvironment. Moreover, E2 and E5 (irrigated environments) were high yielding, while E3 (drought stress) low yielding as forecast. On the other hand, GGE biplot indicated that three group were occurred among traits, first group (GY: grain yield, CC: crude cellulose, CD: cold damage), second group (PC: , HW: hectoliter weight, TGW: thousand grain weight, SH: seed humidity), third group (LOD: lodging, PH: plant height, HT: heading time). Moreover: the study showed that G3, G6, G7, G8, G13 and G21 were the best genotypes both grain yield and other traits. The results of AMMI model and GGE biplot indicated that G8 is suitable to recommend for release and G23 desirable origin for yield stability and G7 valuable source for quality to use in barley breeding program.
机译:基因型的一致性对于作物育种计划的决策具有重要意义,以改进新品种。 AMMI(加性主效应和乘性相互作用)分析和基因型x环境相互作用(GEI)用于估计谷物产量,并通过在多环境试验中作为品种产量的差异排名研究来了解GxE相互作用模式。因此,本研究使用了15个大麦先进品系和6个国家品种和4个国外品种(在国外注册)。实验是根据完整的随机区组设计进行的,在两年中在五个环境中进行了四次复制。使用AMMI和GGE双图分析确定了基因型对产量和其他性状的稳定性和优越性。发现因素(G,GE和GEI)对谷物产量具有极高的意义(P <0.01)。 AMMI分析表明,处理平方和的主要贡献分别是环境(98.52%),GE(0.45%)和基因型(1.02%),表明基因型的谷物产量受环境条件的影响。 GGE双线图表明,PCA 1轴(主分量)显着,P <0.01,并提供了49.36%的GxE完全相互作用。 AMMI表明,G8和G23基因型在多环境中是理想的和稳定的基因型,可用于谷物产量。而且,E2和E5(灌溉环境)的单产较高,而E3(干旱胁迫)的单产较低。另一方面,GGE双图表明,性状发生了三组,第一组(GY:谷物产量,CC:粗纤维素,CD:冷害),第二组(PC:,HW:百升重量,TGW:千粒)重量,SH:种子湿度),第三组(LOD:倒伏,PH:株高,HT:抽穗时间)。此外:研究表明,G3,G6,G7,G8,G13和G21是无论是产量还是其他性状最好的基因型。 AMMI模型和GGE双图的结果表明,G8适合于推荐释放,G23适合于产量稳定的理想来源,而G7适合用于大麦育种程序的质量有价值的来源。

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