The yield and protein performance in a soybean genotype result from its interaction with the prevailing environmental conditions. This makes selecting the best genotypes under varied target production environments more complex. This study’s objectives were to determine protein content and protein stability of 30 elite soybean genotypes in major soybean-growing areas of Uganda, assess the yield performance and stability in soybeans and determine the relationship between the protein content and grain yield in soybeans. The genotypes were planted in a randomized complete block design of three replications for six seasons across eight locations in Uganda. Genotype and genotype-by-environment (GGE) biplot analyses classified the test locations into three mega-environments for soybean protein and grain yields. Genotype NII X GC 20.3 had the highest mean protein content of 43.0%, and BSPS 48A-9-2 and BSPS 48A-28 were superior for the mean grain yield (1207 kg ha⁻¹). Bulindi was the most discriminating and representative test environment for soybean yield. A weak and negative correlation (r = −0.1**, d.f. = 29) was detected between the protein content (%) and yield (kg ha⁻¹). The highest-yielding genotypes BSPS 48A-9-2, BSPS 48A-31, and Nam II × GC 44.2 are recommended for further evaluation under farmers’ production conditions for selection and release as new soybean varieties in Uganda.

中文翻译：

---

使用 GGE Biplot 分析对热带大豆基因型的蛋白质含量和产量稳定性进行多环境评价

大豆基因型的产量和蛋白质性能取决于其与普遍环境条件的相互作用。这使得在不同的目标生产环境下选择最佳基因型变得更加复杂。本研究的目的是确定乌干达主要大豆产区 30 个优良大豆基因型的蛋白质含量和蛋白质稳定性，评估大豆的产量性能和稳定性，并确定蛋白质含量与大豆籽粒产量之间的关系。基因型在乌干达八个地点的六个季节中以三个重复的随机完整块设计种植。基因型和环境基因型 (GGE) 双标分析将测试地点分为大豆蛋白和谷物产量的三个超级环境。基因型 NII X GC 20。^-1 )。Bulindi 是大豆产量最具辨别力和代表性的测试环境。在蛋白质含量 (%) 和产量 (kg ha ^{- 1} )之间检测到弱的负相关性 (r = -0.1**, df = 29 )。建议将产量最高的基因型 BSPS 48A-9-2、BSPS 48A-31 和 Nam II × GC 44.2 在农民的生产条件下进行进一步评估，以作为乌干达大豆新品种的选择和发布。