The paper by Eberhart and Russell (1962) introduces a model to define stability parameters for comparing sorghum varieties across different environments. The model, represented by the equation \( Y_{11} = p_1 + \beta_1 I_1 + \delta_{11} \), includes the variety mean (\( p_1 \)), regression coefficient (\( \beta_1 \)), and deviation from regression (\( \delta_{11} \)). The environmental index (\( I_1 \)) is used to measure the deviation of each variety's performance from the mean. The authors examine 25 sorghum varieties and 3-way crosses to detect genetic differences. They find that while there are genetic differences among lines, no evidence of nonadditive gene action is observed. The regression coefficients for many hybrids are near zero, while others show large estimates. The paper emphasizes the importance of genotype-environment interactions in plant breeding, which can reduce the progress from selection. Stratification of environments is suggested as a method to reduce these interactions, but other methods, such as selecting stable genotypes, are also discussed. The authors propose a model to identify stable genotypes and illustrate its usefulness through various analyses and graphical representations. The literature review covers the use of genetic mixtures to reduce genotype-environment interactions, the importance of stability in variety selection, and the statistical methods for analyzing genotype-environment interactions. The paper concludes by discussing the significance of the second stability parameter (\( s_d^2 \)) and the need for multiple environments to obtain reliable estimates of this parameter.The paper by Eberhart and Russell (1962) introduces a model to define stability parameters for comparing sorghum varieties across different environments. The model, represented by the equation \( Y_{11} = p_1 + \beta_1 I_1 + \delta_{11} \), includes the variety mean (\( p_1 \)), regression coefficient (\( \beta_1 \)), and deviation from regression (\( \delta_{11} \)). The environmental index (\( I_1 \)) is used to measure the deviation of each variety's performance from the mean. The authors examine 25 sorghum varieties and 3-way crosses to detect genetic differences. They find that while there are genetic differences among lines, no evidence of nonadditive gene action is observed. The regression coefficients for many hybrids are near zero, while others show large estimates. The paper emphasizes the importance of genotype-environment interactions in plant breeding, which can reduce the progress from selection. Stratification of environments is suggested as a method to reduce these interactions, but other methods, such as selecting stable genotypes, are also discussed. The authors propose a model to identify stable genotypes and illustrate its usefulness through various analyses and graphical representations. The literature review covers the use of genetic mixtures to reduce genotype-environment interactions, the importance of stability in variety selection, and the statistical methods for analyzing genotype-environment interactions. The paper concludes by discussing the significance of the second stability parameter (\( s_d^2 \)) and the need for multiple environments to obtain reliable estimates of this parameter.