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大麦的糖化力和蛋白质含量是影响大麦品质的重要指标,对此类性状进行QTL定位具有重要的经济意义。本研究分别采用传统的单QTL扫描方法和3种贝叶斯LASSO方法实现此类性状的QTL精细解析。在对大麦蛋白质含量的QTL检测上,单QTL扫描方法共检测到了3个QTL,而3种贝叶斯方法检测到了7个QTL,其中2个与单QTL扫描方法检测的QTL吻合。在大麦糖化力的QTL检测上,传统的单QTL扫描方法共检测到了3个QTL,而3种贝叶斯方法除了检测到这3个QTL外,还检测发现了额外的2个连锁的QTL;表明贝叶斯方法在北美大麦蛋白质含量和糖化力QTL检测中可以更加有效地分离处于连锁位置或接近状态的QTL进而提高QTL的检测效力。
The saccharification ability and protein content of barley are important indexes that affect the quality of barley. It is of important economic significance to locate QTLs for these traits. In this study, the QTLs of these traits were finely resolved using traditional single QTL scanning methods and three Bayesian LASSO methods respectively. Three QTLs were detected by single QTL scanning in the detection of QTL for barley protein content, while seven QTLs were detected by three Bayesian methods, of which two were consistent with QTLs detected by single QTL scanning. Three QTLs were detected by conventional single QTL scanning in QTL detection of barley saccharification ability. Three Bayesian methods not only detected these three QTLs, but also detected two additional QTLs. It is indicated that the Bayesian method can effectively separate the QTLs in the linkage position or close status in the QTL detection of the protein content and saccharification ability of barley in North America so as to improve the detection efficiency of the QTLs.