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根据朱军 ( 1 994)提出的包括基因型×环境互作的加性 -显性遗传模型 ,运用蒙特卡罗模拟证明 ,以混合线性模型统计分析的 MINQUE法 ,对非等试验设计获得的植株农艺及产量试验数据进行数量遗传分析是可行的。蒙特卡罗模拟结果表明 ,在样本群体大小基本一致的条件下 ,采用相等试验设计或非等试验设计所估算的遗传参数的偏差 ( Bias)和功效值 ( Power)没有明显差异 ,表明以非等试验设计获得的非平衡数据也可用来进行遗传分析 ,估算上述遗传模型中的各项遗传方差分量和协方差分量 ,并且可以采用朱军 ( 1 993)提出的 AUP法来预测遗传模型中的各项遗传效应值
According to the additive-dominance genetic model including genotype × environment interaction proposed by Zhu Jun (1994), the Monte-Carlo simulation is used to prove that the agronomy obtained from the non-isometric experimental design with the MINQUE method of mixed linear model statistical analysis And yield test data for quantitative genetic analysis is feasible. The Monte Carlo simulation results show that there is no significant difference in bias (Bias) and power (P value) for the genetic parameters estimated using the same experimental design or the non-equal experimental design under the basically same sample size, indicating that the non-equal The unbalanced data obtained from the experimental design can also be used for genetic analysis to estimate the genetic variance components and covariance components of the above genetic model, and the AUP method proposed by Zhu (1993) can be used to predict various items in the genetic model Genetic effect value