Multi-environment trials have a fundamental role in the selection of the best genotypes across different environments before its commercial release. This study was carried out to identify high-yielding stable sunflower hybrids using the graphical method of the GGE biplot. For this purpose, 11 new hybrids along with four hybrid cultivars were evaluated in a randomized complete block design with four replications across 8 environments (combination of years and locations) during the 2018–2020 growing seasons. The mean oil yield of the environments varied from 833 kg ha⁻¹ in E4 to 1565 kg ha⁻¹ in E5 and the oil yield of hybrids ranged from 1085 kg ha⁻¹ in hybrid H9 to 1565 kg ha⁻¹ in hybrid H8. The results indicated that genotype (G), environment (E) and genotype × environment (G × E) effects were significant for oil yield. The G, E, and G × E interaction effects accounted for 64.83, 11.86, and 23.31% of the total variation, respectively. Results of biplot analysis showed that the first and second principal components accounted for 45.9% and 20.4%, respectively, and in total 66.3% of oil yield variance. GGE biplot analysis indicated two major mega-environments of sunflower testing locations in Iran. Based on the hypothetical ideal genotype biplot, the hybrids H3 and H5 were better than the other hybrids in terms of oil yield and stability, which had the highest general adaptation to all of the environments. Based on the ideal genotype from the most desirable to the most undesirable the hybrids were ranked as follows: H5 > H3 > H8 > H14 > H6 > H2 > H13 > H12 > H10 > H11 > H1 > H7 > H4 > H15 > H9. Furthermore, ranking of the environments based on the ideal environment introduced Sari as the best environment. Therefore, Sari can be used as a suitable test location for selecting superior sunflower hybrids in Iran.

多环境试验在商业发布之前在不同环境中选择最佳基因型方面具有重要作用。进行这项研究是为了使用 GGE 双标图的图形方法来鉴定高产稳定的向日葵杂种。为此，在 2018-2020 年生长季节期间，在 8 个环境（年份和地点的组合）中进行了四次重复，在随机完整区组设计中评估了 11 个新杂交种和四个杂交品种。环境的平均油产量从E4 的833 kg ha ^-1到E5 的1565 kg ha ^-1不等，杂种的油产量从杂种 H9 的1085 kg ha ^-1到 1565 kg ha ^-1不等在混合 H8。结果表明，基因型（G）、环境（E）和基因型×环境（G×E）对产油率的影响显着。G、E 和 G × E 交互作用分别占总变异的 64.83、11.86 和 23.31%。双标分析结果表明，第一主成分和第二主成分分别占45.9%和20.4%，合计占油产量方差的66.3%。GGE 双标分析表明伊朗向日葵测试地点的两个主要大型环境。基于假设的理想基因型双标，杂种H3和H5在产油率和稳定性方面优于其他杂种，对所有环境具有最高的一般适应性。根据从最理想到最不理想的理想基因型，杂种排序如下：H5 > H3 > H8 > H14 > H6 > H2 > H13 > H12 > H10 > H11 > H1 > H7 > H4 > H15 > H9。此外，基于理想环境的环境排名将 Sari 引入为最佳环境。因此，纱丽可作为伊朗选择优良向日葵杂交种的合适试验地点。