中文摘要：

为多重相关量的特点把继承模型基于混合的主要基因和多基因，作者建议了控制多重相关量的特点的主要基因的一个新联合分离分析方法，它包括主要基因察觉和它的效果和变化评价。主要基因的效果和变化被经由期望最大化(他们) 实现的最大的可能性方法估计算法。主要基因与可能性比率(LR ) 被测试测试统计数值。广泛的模拟研究证明那连接分析不仅增加主要基因察觉的统计力量而且改进主要基因效果估计的精确和精确性。植物高度的一个例子和在米饭十字 DuonieaixZhonghua 11 的 F2 人口的分蘖的数字在说明被使用。结果显示在这个十字的这二个特点的基因差别指仅仅一多种的主要基因。主要基因的加性效果和优势效果在植物高度上作为 -21.3 和 40.6 厘米被估计，并且 22.7 并且 tiller 的数字上的 -25.3 分别地。在为植物高度并且到近的优势上的主要基因表演为数字完成优势到 ers 为止。

英文摘要：

Based on the major gene and polygene mixed inheritance model for multiple correlated quantitative traits, the authors proposed a new joint segregation analysis method of major gene controlling multiple correlated quantitative traits, which include major gene detection and its effect and variation estimation. The effect and variation of major gene are estimated by the maximum likelihood method implemented via expectation-maximization （EM） algorithm. Major gene is tested with the likelihood ratio （LR） test statistic. Extensive simulation studies showed that joint analysis not only increases the statistical power of major gene detection but also improves the precision and accuracy of major gene effect estimates. An example of the plant height and the number of tiller of F2 population in rice cross Duonieai x Zhonghua 11 was used in the illustration. The results indicated that the genetic difference of these two traits in this cross refers to only one pleiotropic major gene. The additive effect and dominance effect of the major gene are estimated as -21.3 and 40.6 cm on plant height, and 22.7 and -25.3 on number of tiller, respectively. The major gene shows overdominance for plant height and close to complete dominance for number of tillers.