The College of Agriculture at the University of Basrah, Department of Field Crops, organized a panel discussion on genetic stability analysis using GGE-Biplot Analysis. The episode, in which the teacher, Dr. Muhammad Odeh Khalaf, lectured, aims to Clarification of the concept of GGE-Biplot in genetic stability analysis to identify The relationship between genotypes and the studied environments The preferred genotypes for each environment and the genetically stable genotype in the studied environments, the ideal environment, and the ideal genotype I ate the episode Statement of the concept of GGE-Biplot in the analysis of genetic stability and that this technology is based on two concepts: the first is that G and G.E. Only they are used in evaluating genotypes (hence the name GGE) and the second concept is that Biplot technology is used to display GGE in MEYT experiments (Multi Environment Yield Trails). The GGE-Biplot is created based on the primary and secondary effects of the basic components PC1 and PC2 (Components Analysis Principle), which are used to analyze the effect of interference from the aggregation model and thus group the genotypes into groups based on the similarity in performance across different environments. Review the forms of the relationship between the genotypes and the studied environments, the relationship between the studied environments, the relationship between the studied genotypes, the preferred genotypes for each environment, the genetically stable genotype in the studied environments, the ideal environment, the ideal genotype, and the interpretation of the results. And that the identification of stable genotypes with high yield is important for every plant breeder, and that the trait of the yield is a quantitative trait and usually shows a large genetic-environmental (G.E.) overlap. Therefore, the difference in the yield of the tested structures is large between the studied environments. The episode touched upon: The method of genetic stability analysis using GGE-Biplot technology was efficient in analyzing genetic stability by displaying the overlapping relationships between the genotypes and the environments under test and facilitating comparison through drawing the relationship between the genotypes and environments and facilitating the selection process for the highly stable genotypes.
