Zhu J
Agronomy Department, Zhejiang Agricultural University, Hangzhou, China.
Genetics. 1995 Dec;141(4):1633-9. doi: 10.1093/genetics/141.4.1633.
A genetic model with additive-dominance effects and genotype x environment interactions is presented for quantitative traits with time-dependent measures. The genetic model for phenotypic means at time t conditional on phenotypic means measured at previous time (t-1) is defined. Statistical methods are proposed for analyzing conditional genetic effects and conditional genetic variance components. Conditional variances can be estimated by minimum norm quadratic unbiased estimation (MINQUE) method. An adjusted unbiased prediction (AUP) procedure is suggested for predicting conditional genetic effects. A worked example from cotton fruiting data is given for comparison of unconditional and conditional genetic variances and additive effects.
针对具有时间依赖性测量的数量性状，提出了一种具有加性-显性效应和基因型×环境互作的遗传模型。定义了基于前一时刻（t-1）测量的表型均值，在时刻t的表型均值的遗传模型。提出了用于分析条件遗传效应和条件遗传方差分量的统计方法。条件方差可以通过最小范数二次无偏估计（MINQUE）方法进行估计。建议采用调整无偏预测（AUP）程序来预测条件遗传效应。给出了一个来自棉花结果数据的实例，用于比较无条件和条件遗传方差以及加性效应。
