中文摘要：

小麦（Triticum aestivum L.）品质相关性状是由多个基因控制的数量性状,发掘控制小麦品质相关性状的真实主效数量性状位点（quantitative trait loci,QTL）是利用分子手段进行品质改良的有效途径.本研究收集了已发表的控制小麦品质相关性状的585个QTL定位数据,利用元分析技术获得264个控制小麦品质相关性状一致性QTL（meta quantitative trait loci,MQTL）,其中34个与吸水率（water absorption,ABS）相关,26个与面粉蛋白质含量（flour protein content,FPC）相关,84个与籽粒蛋白质含量（grain protein content,GPC）相关,52个与籽粒硬度（kernel hardness,KH）相关,39个与沉降值（sedimentation value,SV）相关,29个与湿面筋含量（wet gluten content,WGC）相关.基于BioMercator软件及标记映射技术,将来自不同遗传作图群体的小麦品质相关性状QTL整合到一张参考图谱上,建立控制小麦品质相关性状的QTL一致性图谱,进一步发现控制小麦品质相关性状的MQTL区段在染色体上呈非均匀性分布,且部分性状QTL集中成簇.控制小麦品质相关性状的真实QTL区段（或位点）的发现及其整合图谱的构建,为小麦品质相关性状基因的发掘、候选基因的确定以及分子标记辅助选育提供了参考资料.

英文摘要：

Most quality traits of wheat （Triticum aestivum L.） are quantitative traits controlled by multiple genes, and discovery of main effective quantitative trait locis （QTLs） which control quality related traits in wheat can provide useful information for molecular breeding. The 585 QTLs of wheat quality related traits reported were collected, and 264 meta quantitative trait locis （MQTLs） were predicted by meta-analysis which included 34 MQTLs for water absorption （ABS）, 26 MQTLs for flour protein content （FPC）, and 84 MQTLs for grain protein content （GPC）, 52 MQTLs for kernel hardness （KH）, 39 MQTLs for sedimentation value （SV） and 29 MQTLs for wet gluten content （WGC）. Then the technology based on BioMercator software and marker projection were used to integrate QTLs on the wheat quality related traits which were from different genetic mapping population into a reference map. The MQTLs on wheat quality related traits were inhomogeneous distribution on chromosomes, and some QTLs concentrated clusters. The finding of real QTLs section （or site） which controlled wheat quality related traits and the construction of integration map provide reference data for exploring genes on wheat quality related traits, candidate genes and marker-assisted breeding.