The comparison of the genetic gains obtained with different scenarios using optimized parameters showed that including genomic information generally provided greater overall AGG. The combined genetic gain in both traits (AGGb + AGGm) was greater by approximately 14% for GS-pheno and GS-PT-index and 17% for GS-pheno-PT-index as compared with the reference scenario (Class-PT-culling). The increase was, however, of less than 7% for the other scenarios. Similar trends were observed when comparing scenarios with limited AI, but the superiority of genomic schemes was slightly greater. For individual traits, increases were of up to 24.4% for the meat trait (Class-PT-culling vs. GS-pheno) and 31.2% for the maternal trait (Class-PT-culling vs. GS-pheno-PT-index). However, the genetic gains were slightly reduced for the maternal trait with the “GS-pheno” scenario and for the meat trait with the “GS-pheno-PT-culling” scenario. When the size of the reference population was over 2,000 individuals, the trait and combined genetic gain of all genomic scenarios were superior to conventional scenarios (Fig. 2). Using the same information sources, the combined genetic gain was greater when index selection methods were used than with independent culling level methods.