Dejan Sokolović ^1* Snežana Babić ¹ Mirjana Petrovic ¹ Ignacio Solís ² Mathias Cougnon ³ Natalia Gutierrez ⁴ Pertti Pärssinen ⁵ Dirk Reheul ⁶ Jasmina Radovic ¹ Ana M Torres ⁴

• ¹ Institute for Forage Crops (Serbia), Kruševac, Serbia
• ² Agrovegetal S.A, Seville, Spain
• ³ Institute for Agricultural, Fisheries and Food Research (ILVO), Merelbeke, Belgium
• ⁴ IFAPA Centro Alameda del Obispo, Córdoba, Spain
• ⁵ Boreal Plant Breeding Ltd., Jokioinen, Finland
• ⁶ Faculty of Bioscience Engineering, Ghent University, Ghent, East Flanders, Belgium

Faba bean (Vicia faba L.) is an important pulse crop traditionally used for human nutrition and animal feeding. With a high protein content ranging from 24% to 35% of seed dry matter, considerable amounts of globulins, essential amino acids and minerals, faba bean is today an important source to meet the growing global demand for nutritious food. The objective of this study was to investigate the variability of nine phenological, phenotypical and yield related traits in 220 faba bean accessions in multi-location trials across four representative European regions. Significant differences among genotypes and environments were detected, being the genotype x environment interaction (GEI) the major source of variation in five of the nine evaluated traits. The "which-wonwhere" analyses identified two mega-environment namely South European mega environment (SE-ME) and North European mega environment (NE-ME), while the best performing and most stable genotypes according to the nine traits were identified using "means vs stability" analyses. According to the highest trait value in each mega environment several winning genotypes were identified showing better performances than some commercial varieties (controls) or checks. Our results suggest that the geographical locations falling into each mega-environment can be used as faba bean test locations. The genotype ranking for the multi-trait stability index (MTSI) revealed that the most stable and best ranking genotypes in SE-ME are G018, G086, G081, G170 and G015 while in the north mega-environment are G091, G171, G177 (Merkur), G029 and G027. Hierarchical cluster analysis and principal component analyses showed a clear correlation between the traits analysed and the botanical type. These findings indicate that botanical type is one of the most significant factors affecting development in any environment, and it must be taken into account in faba bean breeding activities. The information derived from this study provides a chance for breeding new resilient faba bean cultivars adapted to different agroecological European regions, a critical point for addressing Europe's reliance on protein imports and enhancing sustainable agriculture practices.