GGE Biplot Analysis of Genotype × Environment Interaction and Yield Stability in Bambara Groundnut

In plant breeding and agricultural research, biplot analysis has become an important statistical technique. The goal of this study was to find the winning genotype(s) for test settings in a part Southwest region Nigeria, as well investigate nature extent genotype × environment interaction (GEI) effects on Bambara groundnut (BGN) production. experiment carried out four environments (two separate sites, Ibadan Ikenne, two consecutive years, 2018 2019) with ninety-five BGN accessions. According combined variance over environments, genotypes GEI both had substantial (p < 0.001) impact yield. results revealed that accessions performed differently different conditions, indicating crossover nature. To examine show pattern components, biplots main effect were used. first PCs explained 80% total variation GGE model (i.e., G + GE) (PC1 = 48.59%, PC2 31.41%). best each based “which-won-where” polygon TVSu-2031, TVSu-1724, TVSu-1742, TVSu-2022, TVSu-1943, TVSu-1892, TVSu-1557, TVSu-2060, TVSu-2017. Among these accessions, TVSu-2017, TVSu-1943 among highest-yielding field. adaptable TVSu-1763, TVSu-1899, TVSu-2019, TVSu-1898, TVSu-1957, TVSu-2021, TVSu-1850, stable TVSu-1589, TVSu-1905, TVSu-2048. terms discriminating representativeness 2019 is deemed be superior environment. selected are recommended parental lines programs grain yield improvement or Ikenne similar agro-ecological zones.