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A simulation study was carried out to investigate the influence of family selection and selective genotyping within selected families on the power and bias of estimation of genetic parameters in an outbred population with a halfsib family structure. Marker genotypes were determined only for sires that had offspring in the high and low phenotypic tails of the entire distribution of the trait of interest. Offspring of selected sires were genotyped. Within selected families, three different sampling schemes were considered: 1) offspring sampled from the tails of the distribution; 2) offspring randomly sampled; 3) all offspring of a selected sire analyzed. Control data consisted of randomly sampled offspring from randomly chosen sires. An interval mapping procedure based on the random model approach was applied to simulated data. The QTL location and the variance components were estimated using the maximum likelihood technique. Compared with the control data, selective genotyping of sires increased power of QTL detection, but also resulted in severely biased estimates for variance components, especially when the most extreme offspring of selected sires were sampled. Including phenotypic data from all individuals along with marker information obtained only on selected offspring provided improved estimates of the QTL parameters without loss in power.