Genotypic databases at V5 corresponding to the two evaluated populations: Diversity panel and a Multiparental Advanced Generation Inter-Cross (MAGIC) population. [DATASET]

Genomic selection allows prediction of genetic values using SNP markers distributed across the genome. Its effectiveness depends on factors such as trait heritability, genetic similarity between training and validation sets, and population structure. Although results in homogeneous populations have been promising, its application in diverse germplasm remains a challenge. This study evaluates the predictive capacity of GBLUP models applied to agronomic and biochemical-structural traits related to stover quality in two maize populations: a Diversity panel and a Multiparental Advanced Generation Inter-Cross (MAGIC) population. The datasets contained here correspond to the genotyping in V5 of the two populations evaluated.