中文摘要：

通过整合本试验室由陆地棉中棉所8号和海岛棉Pima90—53组配的BCl和BC1F2两个群体的92个纤维品质性状相关的QTLs，构建了1张包含BC。和BC1F2群体63个纤维品质相关性状QTL的整合图谱。整合图谱包含599个标记位点，覆盖全基因组3571．9cM，标记间平均距离为5．96cM，包含26条染色体。采用元分析Bio-Mercator2．1软件的Meta-analysis功能，在12条染色体上共获得15个与纤维品质性状相关的一致性QTLs，其中染色体9、16和24上呈现QTL成簇聚集现象。染色体9上整合来源于2个群体的5个QTLs，获得1个Meta—QTL9．1，所解释的表型变异为17．16％；染色体16上整合来源于两个群体的10个QTLs，获得1个Meta-QTLl6—1，所解释的表型变异为12．28％；染色体24上整合来源于2个群体的9个QTLs，获得3个Meta-QTL，分别解释的表型变异为16．12％、16．69％和18．27％；其他染色体均整合来源于2个QTLs，分别获得1个Meta—QTL。研究结果表明，这些一致性QTL在很大程度上可以推动0TL精细定位和分子标记辅助选择在育种实践中的应用。

英文摘要：

Using bioinformatics methods and meta-analysis with BCt map as reference, 92 cotton fiber quality QTL collected from both BC1 and BC1F2 populations constructed previously were used to construct a QTL integrated map for QTL analysis in this study. The five hundred ninety-nine loci were mapped into 26 chromosomes with an average distance between adjacent markers of 5.96 cM and covered 3,571.9 cM. Sixty-three QTL of fiber qualities related were integrated into the new reference map. The fifteen meta-QTL were mapped on 12 chromosomes by the meta-analysis method and also QTL clusters have been discovered on chromosome 9, 16 and 24. The major meta-QTL of Meta-QTL9-1 derived from five QTL on chromosome 9, could explain 17.16% of phenotypic variance. The meta-QTL16-1 derived from ten QTL on chromosome 16, could explain 12.28% of phenotypic variance. And three meta-QTL derived from nine QTLs on chromosome 24, could explain 16.12%, 16.69% and 18.27% ofphenotypic variance, respectively. On average, one meta-QTL derived from two QTLs on the other chro- mosomes. The results indicated that these meta-QTL could be used in improving fine QTL mapping and molecular-assisted se- lection of cotton fiber qualities in breeding.