埃塞俄比亚Wollo水分亏缺环境下面包小麦(Triticum aestivum L.)基因型产量的AMMI和GGE双图分析

Arega Gashaw, F. Mekbib, Agegnehu Mekonnen
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引用次数: 3

摘要

在阿姆哈拉东部地区的6个地点测试了22种面包小麦品种。本试验采用随机完全区组(RCB)设计,重复试验3次,目的是研究环境相互作用对面包小麦基因型产量和稳定性的影响程度。采用Genstat软件第18版进行个体环境和联合方差分析,采用最小显著差异(Least Significant Difference, LSD)进行均值分离。综合方差分析显示,籽粒产量在基因型、环境和基因交互作用之间存在显著差异。基因型G1、G9和G16在籽粒产量上表现优异,平均籽粒产量分别为3.60、3.56和3.55。稳定性用AMMI和GGE双标图测定。AMMI-1选择最适合的基因型,如E3的G9和G16, E1的G17。G12、G6、G3、G19、G7和G11基因型适用于所有环境。AMMI-2双图显示E1、E5和E6交互作用作用大,E2、E3和E4交互作用作用小。GGE双图识别E1、E3、E6和E5的G9、G16和G19, E1和E4的G17、G21、G14和G15。G6、G12和G1基因型在所有环境下均表现良好。因此,在选择目标环境的面包小麦基因型时应给予足够的重视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AMMI and GGE biplot analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes at moisture deficit environment of Wollo, Ethiopia
Twenty-two bread wheat varieties were tested at six locations of eastern Amhara region. The experiment was laid-out using Randomized Complete Block (RCB) design and replicated three times with the objective of estimating the magnitude of Genotype by Environment (GE) interactions for grain yield and stability of bread wheat genotypes. Individual environment and combined analysis of variance were carried out using Genstat software 18th edition and Least Significant Difference (LSD) was employed to separate means. Combined ANOVA for grain yield showed significant difference among genotypes, environments, and GE interactions. Genotypes G1, G9 and G16 out-smarted in grain yield, providing mean grain yield of 3.60, 3.56, and 3.55 tha-1, respectively. The stability was measured by AMMI and GGE biplot. AMMI-1 select most adapted genotypes such as G9 and G16 for E3 and G17 for E1. G12, G6, G3, G19, G7 and G11 genotypes were suitable for all environments. AMMI-2 biplot showed E1, E5 and E6 contributed large interaction effects while E2, E3 and E4 contributed small interaction effects. GGE biplot identify G9, G16 and G19 for E1, E3, E6 and E5 and G17, G21, G14 and G15 for E1 and E4. G6, G12 and G1 genotypes were good for all environments. Thus, due attention should be given while selecting bread wheat genotypes for the target environments.
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