Genomic Selection (GS) predicts the breeding values of an offspring in a population by associating their traits (e.g. resistance to pests) with their high-density genetic marker scores.
[1] GS is a method proposed to address deficiencies of marker-assisted selection (MAS) in breeding programs.
However, GS is a form of MAS that differs from it by estimating, at the same time, all genetic markers, haplotypes or marker effects along the entire genome to calculate the values of genomic estimated breeding values (GEBV).
Since the initial proposal of GS[1] for application in breeding populations, it has been emerging as a solution to the deficiencies of MAS.
The statistical methods applied for identifying target markers and implementing MAS for improvement of polygenic traits have been unsuccessful.