Additive-dominance genetic model was employed for eight inbred lines by mating design of modified diallel crosses with F1`s and reciprocal F1`s, F2`s and reciprocal F2`s. Monte Carlo simulations were conducted to compare specific effects and their interactions in single environment and in multiple environments when GE exits, when Genotype Environment (GE) is ignored and when it is null. Estimation of variance components and genetic prediction were computed by using respectively minimum norm quadratic unbiased estimation (MINQUE (1) and adjusted unbiased estimation (AUP). The genetic models in single and multiple environments were robust and gave unbiased estimates with high efficiencies. The variance residual s2Pwas significantly smaller and more efficient when GE interaction effects were considered in the full model. Whereas s2A, s2D and s2E were overestimated when s2AE and s2DE were ignored in the full model. If there are no genotype by environment interaction (GE) effects (s2AE =s2DE= 0), s2A and were estimated with similar bias, MSE and power value as when GE interaction effects are present. AUP method gave extremely low biases for mean of predicted genetic effects with absolute value between 8.10-5~12.10-4. When GE is not ignored, variance of prediction is significantly similar to the true value.
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Abderrahmane Achouch and Zhu Jun, 2001. Diallel Analysis for Inbred Lines Involving Genotype × Environment Interaction Effects on Additive-Dominance Genetic Model. Journal of Biological Sciences, 1: 704-707.
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