It is of interest to obtain a reliable estimate and statistical test of the simple effects of genotypes at specific locations if a significant genotype–location interaction exists in multilocation trials commonly conducted in plant breeding and variety testing programs. For this task this study compared two different statistical procedures, i.e., the separate analysis of variance (ANOVA), being applied usually in the practical analysis of the multilocation trials with random locations, and the best linear unbiased prediction (BLUP) based on a variance component mixed model, by simultaneous analysis of various cultivar multilocation trails of rape in case of random locations. The phenotypic correlation of genotype effect prediction between trial locations and the average variance of differences between the genotype predictions were used, respectively for assessing the precision and the efficiency of the analysis procedures in evaluating the location-specific genotype effects. The result showed that the use of the separate ANOVA and the BLUP could result in some difference in prediction, ranking and statistical testing of location-specific genotype effects. Compared to the separate ANOVA, the BLUP based a variance component mixed model provided both a high precision and a high efficiency in prediction of the location-specific genotype effects for the rape trials with random locations.