This study analyses the genotype-by-environment (G x E) interaction of 11 genotypes of Vicia faba L., grown in 17 environments in Andalucia (Southern Spain) by two multivariate methods (AMMI and Principal Coordinate Analysis). Results of the stability analyses indicated that the most stable genotypes for resistance were not the same as those for yield. However three, L1, L2 and VF1071, were by far the most Orobanche-resistant materials and were as productive as well-established cultivars, but their yields showed low stability among environments. Progress in selection for both Orobanche resistance and yield is hampered by large environmental variation between locations. More breeding effort is needed in these three experimental genotypes in order to improve the yield stability and therefore acceptability to farmers. Multivariate analysis has shown its advantage as a helpful tool in identifying the best genotypes for a new cycles of crossing and selection. For the cultivars and environments analyzed in this study, the two methods gave equally satisfactory results in detecting cultivars that perform well and remain stable under different environment conditions.