Yin Zong-Jun, Zhang Qin, Chen Hong-Quan, Zhang Ji-Gang, Ding Xiang-Dong, Wang Chun-Kao
College of Animal Science and Technology, China Agricultural University, Beijing 100094, China.
Yi Chuan Xue Bao. 2005 Sep;32(9):923-9.
The maximum likelihood method was used to compare the efficiency of interval mapping with either the threshold model or the linear model. The irfluencing factors of quantitative trait loci (QTL) detection efficiency (e.g. QTL effect, heritability and incidence of categories) were simulated in our study. Daughter design with multiple families was applied, and the number of segregating population was 500. The results showed that the threshold model was superior in terms of parameter estimation. It was a more efficient and accurate model of QTL mapping for discrete traits. In addition, the accuracy of QTL mapping depended on the effect of the putative QTL, the value of heritability and incidence directly. With an increase of QTL effect, heritability and incidence of categories, the accuracy of QTL mapping improved correspondingly.
采用最大似然法比较区间定位在阈值模型和线性模型下的效率。本研究模拟了数量性状基因座（QTL）检测效率的影响因素（如QTL效应、遗传力和类别发生率）。应用多家族的子代设计，分离群体数量为500。结果表明，阈值模型在参数估计方面更具优势。对于离散性状，它是一种更高效、准确的QTL定位模型。此外，QTL定位的准确性直接取决于假定QTL的效应、遗传力值和发生率。随着QTL效应、遗传力和类别发生率的增加，QTL定位的准确性相应提高。
