The study by Habier, Fernando, and Dekkers (2007) investigates the impact of genetic relationships captured by markers on the accuracy of genome-assisted breeding values (GEBVs) in genomic selection. The authors use simulations to demonstrate that GEBVs can have non-zero accuracy even without linkage disequilibrium (LD) between markers and quantitative trait loci (QTL). However, when LD is present, the accuracy of GEBVs decreases rapidly over generations due to the decay of genetic relationships. The study also evaluates three statistical models—fixed regression-least squares (FR-LS), random regression-BLUP (RR-BLUP), and Bayes-B—to estimate marker effects and predict GEBVs. The results show that RR-BLUP is most affected by genetic relationships, while Bayes-B is the best method for estimating marker effects. FR-LS is recommended as an alternative to Bayes-B, but further investigation is needed. The study concludes that to validate the potential of genomic selection, multiple generations must be analyzed to estimate the accuracy due to LD.The study by Habier, Fernando, and Dekkers (2007) investigates the impact of genetic relationships captured by markers on the accuracy of genome-assisted breeding values (GEBVs) in genomic selection. The authors use simulations to demonstrate that GEBVs can have non-zero accuracy even without linkage disequilibrium (LD) between markers and quantitative trait loci (QTL). However, when LD is present, the accuracy of GEBVs decreases rapidly over generations due to the decay of genetic relationships. The study also evaluates three statistical models—fixed regression-least squares (FR-LS), random regression-BLUP (RR-BLUP), and Bayes-B—to estimate marker effects and predict GEBVs. The results show that RR-BLUP is most affected by genetic relationships, while Bayes-B is the best method for estimating marker effects. FR-LS is recommended as an alternative to Bayes-B, but further investigation is needed. The study concludes that to validate the potential of genomic selection, multiple generations must be analyzed to estimate the accuracy due to LD.