Genotyping individuals to estimate genetic covariance can increase selection accuracy, reduce generation interval of selection candidates, and enable more efficient breeding program design, but genotyping methods can vary widely in cost and genome coverage. A possible low-cost, high information approach is to use low-density genotype coverage to impute high-density genotype coverage in selection candidates based on genetic information from broodstock. Using hatchery-bred oysters exposed to field and lab challenges to measure traits of commercial importance, we examined the relative effectiveness of several genotyping strategies to estimate genetic parameters in Crassostrea virginica in Texas.