Evaluation and Stability Analysis of Early Maturing Soybean (Glycine Max L.) Genotypes in Lowland Agro Ecologies of Ethiopia

Masreshaw Yirga, Yechalew Sileshi, Demelash Bassa
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Abstract

: Soybean is becoming the most important oil crops in Ethiopia. The national soybean breeding program is working to develop high-yielding, adaptable and stable varieties to increase production and productivity in the country. Breeding for early-maturing varieites is currently given due emphasis to overcome soybean production drawbacks in moisture defecit areas. Hence, performance evaluation of early maturing soybean genotypes across representative environments is essential to examine genotype × environment (GxE) interactions and identify the most stable and performed genotype. The trial was conducted using 10 soybean genotypes including checks in RCB design with four replications. The materials were evaluated over eight locations and G x E interaction was assessed using GGE-biplot analysis to identify stable genotype across testing environments. Data on phenological, agro-morphological and reaction to important diseases were collected for the crop. The combined analysis of variances showed significant to highly significant (P ˂ 0.01) difference among genotypes, environments and G x E interactions for most of the studied traits. GGE-biplot models showed that the eight environments used for the study belonged to four mega-environments. According to the GGE results, G3 (JM-HAR/G99-15-SD-2), and G7 (JM-HAR/PR142-15-SB) were identified as ideal genotypes in terms of higher-yielding ability and stability, and hence thesegenotypes are recommended for mega environment production in the country.
早熟大豆(Glycine Max L.)的评价与稳定性分析埃塞俄比亚低地农业生态的基因型
大豆正在成为埃塞俄比亚最重要的油料作物。国家大豆育种计划正在努力开发高产、适应性强和稳定的品种,以提高该国的产量和生产力。目前,早熟品种的选育受到了应有的重视,以克服水分不足地区大豆生产的缺点。因此,早熟大豆基因型在代表性环境下的性能评价对于检验基因型与环境(GxE)之间的相互作用并确定最稳定和表现最好的基因型至关重要。试验采用10个大豆基因型,包括RCB设计检查,共4个重复。在8个地点对材料进行评估,并使用ge -双图分析评估gx E相互作用,以确定不同测试环境下的稳定基因型。收集了该作物物候、农业形态和对重要病害的反应等资料。综合方差分析表明,基因型、环境和gx E交互作用对大多数性状的影响显著至极显著(P值小于0.01)。ge -双标图模型显示,研究中使用的8个环境属于4个巨型环境。根据GGE结果,G3 (JM-HAR/G99-15-SD-2)和G7 (JM-HAR/PR142-15-SB)在高产能力和稳定性方面被确定为理想的基因型,因此这些基因型推荐用于国内大型环境生产。
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