基于遗传标记的亲缘关系估测方法的建立

 【目的】利用分子标记重构动物之间的亲缘关系。【方法】利用分子标记的同源相同特性，通过对一个随机交配的大群体中任意两个个体在某个标记位点4个等位基因的比较，建立估测群体中任意两个个体之间的亲缘关系的方法（记为Liu模型）。【结果】用蒙特卡罗模拟法（Monte Carlo Simulation）随机模拟4种特殊亲缘关系的群体对Liu模型进行了研究，在4种特定的亲缘关系下，与其它几种模型相比较，Liu模型对个体之间亲缘关系的估测最接近模拟群体的真实值，且估测结果稳定。【结论】建立了估测两个个体之间亲缘关系的Liu模型，通过比较分析证明了Liu模型是目前估测效果最好的模型。

Estimation of Pairwise Relationship Using Molecular Marker

【Objective】 Using molecular marker to rebuild the relationship to make effective mating plans and estimate the genetic parameters. 【Method】 The research proposed a novel model (Liu Model) for estimating pairwise relationship from randomly mating population with genetic markers, comparing the four alleles from two loci in two individuals. In order to evaluate Liu model, the research also set up Monte Carlo which can simulate the ideal population of four actual relationships. 【Result】 The result indicates that Liu model is well behaved, and comparing with the previous, the new one also has stable property and is generally much more advantageous than the others. 【Conclusion】 Totally, a novel estimation of pairwise relationship using molecular marker was proposed, and comparing with the previous, Liu model is the best one of all.