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本研究以北美大麦双单倍体资源群体(DH)为研究对象,针对花期和Alpha淀粉酶的QTL定位进行研究。采用单QTL模型分析、四种贝叶斯方法和两种QTL后验概率推断七种方法分别分析了花期及Alpha淀粉酶两个性状QTL,最后将七种方法整合来共同筛选“可信的”QTL。结果显示:贝叶斯方法通常具有极高的QTL检测效力,特别是对处于连锁的QTL;此外,即使不同方法都发现了同一个QTL,其位置估计有时略有偏差,可能是由于单QTL方法对QTL位置估计的有偏性造成的。最后经过整合我们发现了2个“可信的”影响北美大麦花期的QTL和4个“可信的”影响Alpha淀粉酶的QTL。
In this study, the doubled haploid population of barley from North America (DH) was used as a research object to investigate the QTL mapping of flowering and Alpha-amylase. Seven QTLs for flowering and Alpha-amylase were analyzed by single QTL model analysis, four Bayesian methods and two QTL posterior probability estimation respectively. Finally, the seven methods were integrated to jointly screen for “credible ”QTL. The results show that the Bayesian method usually has very high QTL detection efficiency, especially for the QTLs in linkage. In addition, even if different methods find the same QTL, the position estimation may sometimes deviate slightly, which may be due to the single QTL method Biased estimation of QTL position. Finally, we found 2 “credible” QTLs affecting the flowering of barley in North America and 4 “credible” QTLs affecting alpha-amylase.