综合杂种优势的最优线性无偏预测

BEST LINEAR UNBIASED PREDICTION OF AGGREGATE HETEROSIS IN TWOWAY NETWORK CROSSING EXPERIMENTS

文献[1]提出综合杂种优势概念及经纬杂交试验设计中综合杂种优势的 BLUE和置信区间;但把各配合力效应都视为固定效应,所得结论只能推断试验本身.为从同一经纬杂交试验获得更多信息,本文把各配合力效应视为随机效应,据混合线性模型理论,给出了经纬杂交设计中综合杂种优势的BLUP,可预测某品系与任一品系杂交的效果.本文还讨论了综合杂种优势的经济生物学基础,提出了确定目标性状及其相对经济价值的原理和方法,为实践中正确使用综合杂种优势的理论和方法奠定基础.

This paper proposed the method of determination of objective traits in crossing experiments, and the method of Best linear Unbiased Prediction of Aggregate Heterosis in Two-way Network Crossing Experiments. In order to determine Objective Traits, you should at first identify each item of inputs and outputs of individual animal under specific production -marketing system in whole production period of individual; Then you can consider them as the economic traits of individual animal, and designate the i-th item as y_i, i=1,…, m, and express the net profit of a individual animal as linear functions of the inputs and outputs: where ai is the relative economic value of the i-th trait. the authors call equation (a_(?)) the Profit Equation of a individual animal. Only yi is Objective Trait, i=1,…, m.