The development of molecular biology techniques and the application of thesetechniques to farm animals have progressed rapidly and have opened new vistasfor investigators wishing to identify genes that control quantitative traits.Now that a comprehensive map has been developed for the porcine genome, genomicscans to detect quantitative trait loci (QTL) can begin. In order to locate thegenetic regions in the swine genome that are responsible for economicallyimportant traits, a resource population was developed by intercross with threeLarge White and seven Meishan pigs. In subsequent generations, 66 F2 offspringsin 2000 were recorded for four growth traits including birth weight (BWT), bodyweight at 60 day (WT60), average daily gain from birth to 60 day (ADG1) andaverage daily gain from 60 day to the end of test (ADG2), and genotyped for 48microsatellite markers spanning six chromosomes. Association analyses wereperformed using interval mapping by regression under an outbred line-cross modelon chromosomes 1, 2, 3, 4, 6 and 7. The F threshold values were determined bypermutation. A total of 12 QTL were detected at suggestive level for the fourtraits evaluated in this study. Of the 12 suggestive QTL, 3 and 1 QTL weresignificant at the chromosome-wise and genome-wise levels. There was a QTL forADG2 at genome-wide level on chromosome 4 explained additive variance 2.19%. Achromosome-wide QTL affecting ADG1 and WT60 were detected on chromosomes 2 and 1explained additive variance 0.01% and 26.01%, respectively.