Stability Analysis of Potato Yield Using AMMI and GGE Biplot Under Water Deficit

To evaluate the interaction of genotypes in the environment (GEI) and promising clones, 60 potato genotypes were used during the growing seasons of 2018-2019. To identify the best potato genotypes in response to water deficit, GGE biplot and AMMI models were performed under two treatments (water deficit and normal conditions) with two commercial cultivars Agria and Sante. The experiment was performed in eight environments (2 treatments, 2 locations, and 2 years) using a randomized complete block design with three replications. AMMI and GGE biplot analysis showed that the G21 clone was more different than other genotypes for selecting the superior genotype. The yield of the tuber of promising clones G21 (90227), G31 (8708.177), G44 (KSG95), G28 (8707/861), and G18 (90127) was higher in all environments. The best-proposed genotypes for introduction are based on their greater stability for the target environment or parallel environments. In this study, using AMMI and GGE biplot analysis, superior genotypes were identified and selected.