Optimizing genomic predictions in maize using a diversity panel and a multiparental population.

ABSTRACT: Genomic selection allows the 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 genomic best linear unbiased prediction 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. Higher heritability was observed in the panel, especially for flowering traits (h² ≥ 0.88), with high intra-population

SUBMITTER: Lopez-Malvar A 

PROVIDER: S-EPMC12935694 | biostudies-literature | 2026 Mar

REPOSITORIES: biostudies-literature