Eberhart and Rusell Model
1) Involves 3 parameters that is mean yield regression coefficient and deviation for regression
2) Variation is divided into two fractions i,e genotype and E + G+E
3) The E+G x E IS Subdivided into 3 parts i.e Env.(linear) GX E linear and pooled deviations
4) Calculation is simple.
5) Does not provide independent estimation for mean performance and environmental index.
6) Less expensive
7) The degrees of freedom for environment is 1.
Perkins and Jinks Model
1) Involves 3 parameters that is mean yield regression coefficient and deviation for regression
2) Variation is divided into 3 fractions i.e genotypes environments and GXE
3) The GX E subdivided into hetrogeity due to regression and ss due to remainder.
4) Calculation is difficult
5) Does not provide independent estimation for mean performance and environmental index.
6) Less expensive
7) The degrees of freedom for environment is e-2
Freeman and Perkins Model
1) Involves 3 parameters that is mean yield regression coefficient and deviation for regression
2) Variation is divided into 3 fractions i.e genotypes environments and GXE
3) The environment is divided into combined regression and residual 1. The G XE is subdivided into heterogeneity of regression and residual 2
4) Calculation is very difficult
5) It provides independent estimation of mean performance and environmental index
6) More expensive than first and second model
7) The degrees of freedom for environment is e-2
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