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

中文翻译：

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班巴拉花生基因型X环境互作与产量稳定性的GGE双标分析

在植物育种和农业研究中，双标分析已成为一项重要的统计技术。本研究的目的是为尼日利亚西南地区的部分测试环境找到获胜的基因型，并调查基因型 X 环境相互作用 (GEI) 对班巴拉花生的影响的性质和程度。 BGN) 生产。该实验在四个环境中进行（两个独立的地点，Ibadan 和 Ikenne，连续两年，2018 年和 2019 年），有 95 个 BGN 加入。根据环境方差的综合分析，基因型和 GEI 都有显着的 ( p< 0.001) 对 BGN 产量的影响。结果表明，BGN 种质在不同的测试条件下表现不同，表明这种相互作用本质上是交叉的。结果表明，BGN 种质在不同的测试条件下表现不同，表明这种相互作用本质上是交叉的。为了检查和显示交互组件的模式，使用了具有基因型主效应和基因型 X 环境相互作用 (GEI) 的双标图。前两个 PC 解释了 GGE 模型（即 G + GE）总变异的 80%（PC1 = 48.59%，PC2 = 31.41%）。在基于“which-won-where”多边形的每个环境中表现最好的种质是 TVSu-2031、TVSu-1724、TVSu-1742、TVSu-2022、TVSu-1943、TVSu-1892、TVSu-1557、TVSu- 2060 和 TVSu-2017。在这些种质中，TVSu-2017、TVSu-1557、TVSu-2060、TVSu-1892 和 TVSu-1943 是该领域产量最高的种质。适应性种质为TVSu-1763、TVSu-1899、TVSu-2019、TVSu-1898、TVSu-1957、TVSu-2021、TVSu-1850，稳定种质为TVSu-1589、TVSu-1905、TVSu-2048 . 就环境的辨别力和代表性而言，Ibadan 2019 被认为是一个优越的环境。在 Ibadan 或 Ikenne 或类似的农业生态区，推荐选择的种质作为提高谷物产量的育种计划的亲本系。就环境的辨别力和代表性而言，Ibadan 2019 被认为是一个优越的环境。在 Ibadan 或 Ikenne 或类似的农业生态区，推荐选择的种质作为提高谷物产量的育种计划的亲本系。就环境的辨别力和代表性而言，Ibadan 2019 被认为是一个优越的环境。在 Ibadan 或 Ikenne 或类似的农业生态区，推荐选择的种质作为提高谷物产量的育种计划的亲本系。