Mossie Tesfa, Biratu Kasa, Yifred Helina, Silesh Yechalew, Tesfaye Abush
Ethiopian Institute of Agricultural Research (EIAR), Jimma, Ethiopia.
International Institute of Tropical Agriculture, Ibadan, Nigeria.
Heliyon. 2024 Mar 29;10(7):e28764. doi: 10.1016/j.heliyon.2024.e28764. eCollection 2024 Apr 15.
Soybean is a leguminous crop known for its multiple utilizations both as food and feed for humans and livestock. The objectives of the study were to identify high dry matter yielder and stable genotypes across environments in southwestern Ethiopia. The effect of genotype environment (G x E) interaction on dry matter yield of soybean genotypes were evaluated in two cropping seasons (2019-2020) under rain fed condition. Eight pre tested soybean genotypes with two checks were used as treatment in a randomized complete block design with three replications. Collected data were recorded and analyzed using GGE biplot models using R software. The combined analysis of variance showed that dry matter yield of soybean genotypes was significantly affected by genotype, environment and genotypeenvironment (G x E) interaction. The genotype, environment, and genotypeenvironment interaction, respectively, accounted for 11.4%, 49.5%, and 38.8% of the observed variation to the dry mater yield. This indicates that dry matter yield was significantly more affected by environments and G × E interaction than genotypes. The GGE biplot analysis revealed that six environments used in the current study were grouped into four megaenvironments. The megaenvironments were identified for genotype evaluation. The biplot showed that the vertex genotypes were G4, G10, and G9 and considered as optimum performance in their respective mega-environments and more responsive to environmental changes. The biplot also showed that ENV5 (Kersa 2020) was an ideal and the most discriminating and representative environment. Genotype G4 (TGX1990114FN) was the ideal genotype and overall winner in dry matter yield and stability in the findings. Therefore, genotype G4 (TGX1990114FN) is the better option to be used as forage soybean in Ethiopia. Further demonstration of the feeding values of high yielders and stable genotypes on animal performances should be done.
大豆是一种豆科作物,因其作为人类和牲畜的食物及饲料的多种用途而闻名。本研究的目的是在埃塞俄比亚西南部不同环境中鉴定出高干物质产量且稳定的基因型。在雨养条件下的两个种植季节(2019 - 2020年)评估了基因型与环境(G×E)互作对大豆基因型干物质产量的影响。八个经过预测试的大豆基因型及两个对照品种作为处理,采用随机完全区组设计,重复三次。收集的数据使用R软件的GGE双标图模型进行记录和分析。方差的联合分析表明,大豆基因型的干物质产量受到基因型、环境以及基因型与环境(G×E)互作的显著影响。基因型、环境和基因型与环境互作分别占观察到的干物质产量变异的11.4%、49.5%和38.8%。这表明干物质产量受环境和G×E互作的影响显著大于基因型。GGE双标图分析表明,本研究中使用的六个环境被分为四个大环境。已确定大环境用于基因型评估。双标图显示,顶点基因型为G4、G10和G9,它们在各自的大环境中表现最佳,且对环境变化反应更灵敏。双标图还表明,ENV5(克尔萨2020年)是理想的、最具区分性和代表性的环境。在本研究结果中,基因型G4(TGX1990114FN)是干物质产量和稳定性方面的理想基因型及总体优胜者。因此,基因型G4(TGX1990114FN)是埃塞俄比亚用作饲用大豆的更好选择。应进一步证明高产且稳定的基因型对动物生产性能的饲用价值。