STRUCTURE is the most widely used clustering software to detect population genetic structure. The last version of this software (STRUCTURE 2.1) has been enhanced recently to take into account the occurrence of linkage disequilibrium (LD) caused by admixture between populations. This last version, however, still does not consider the effects of strong background LD caused by genetic drift, and which may cause spurious results. STRUCTURE authors have, therefore, suggested a rough threshold value of the distance (1.0 cM) between two loci below which the pair of loci should not be used. Because of the sensitiveness of LD to demographic events, the distance between loci is not always a good indicator of the strength of LD. In this study, we examine the link between genomic distance and the strength of the correlation between loci (r LD ) in a free-ranging population of mouflon (Ovis aries), and we present an empirical test of effect of r LD on the clustering results provided by the linkage model in STRUCTURE. We showed that a high r LD value increases the probability of detecting spurious clustering. We propose to use r LD as an index to base a decision on whether or not to use a pair of loci in a clustering analysis. Keywords: STRUCTURE software; linkage disequilibrium; population structure; clustering Introduction STRUCTURE (Pritchard et al., 2000) is the most widely used clustering software applied to detect population genetic structure, with more than 1000 citations for its first version (Pritchard et al., 2000) and more than 170 citations for its recent enhanced version (Falush et al., 2003) (source: ISI Web of Science database). STRUCTURE generates clusters based on both transient HardyWeinberg disequilibrium (HWD) and linkage disequilibrium (LD) caused by admixture between populations. The program works by clustering individuals in groups, where both linkage and HWD are minimized, and therefore, the presence of LD in the data improves clustering results (Falush et al., 2003). On the other hand, 'strong' LD or departure from Hardy-Weinberg equilibrium could lead to an overestimation of the number of clusters detected (Falush et al., 2003).STRUCTURE deals with two kinds of LD: the first is mixture LD, which occurs across loci even if they are unlinked due to the correlation of allele frequencies 'because individuals with a large component of ancestry in population k have an excess of alleles that are common in k' (Falush et al., 2003). The second is admixture LD, which is 'the correlation that arises between linked markers in recently admixed populations ' (Pritchard and Wen, 2004). This LD occurs because markers are on the same 'chunk' of chromosome that derives from an ancestral population. The 'admixture model' implemented in the latest version of STRUCTURE (STRUCTURE 2.1;Falush et al., 2003) combines admixture LD with map distances between markers to improve clustering results. Falush et al. (2003) defined a third kind of LD: the background LD measured between syntenous loci separated by few cM. Background...