Advance on Methodology of QTL Mapping for Plants
植物QTL定位方法的研究进展 Advance on Methodology of QTL Mapping for Plants

QTL mapping methods are reviewed for single marker mapping, interval mapping, composite interval mapping, and mixed model based method. Statistical approaches along with their properties are discussed for the mapping methods.ANOVA, regression method and likelihood ratio test can be applied in single marker mapping. Interval mapping and composite interval mapping can be conducted, based on two interval markers, by regression method and maximum likelihood method. Since markers linked with other QTLs are include in the model, composite interval mapping is more precision and powerful. Mapping QTL by mixed model approaches is more applicable when complicated QTL effects as well as QTL by environment interaction are analyzed.