Phenotypic and genotypic data of oil content and fatty acids composition in exotic-derived maize germplasm

These datasets (phenotypic and genotypic data) can be used in the fields of genetics and plant breeding. Molecular breeding strategies such as genome-wide association studies (GWAS) and genomic prediction have revolutionized crop improvement by enhancing selection accuracy and genetic gains. Based on these datasets, it is possible to associate the phenotype of the DH lines from the Germplasm Enhancement of Maize (BGEM) and their testcross hybrids, helping to elucidate the genetic basis of oil content and fatty acid composition, as well as to predict superior hybrids and breeding populations. The phenotypic data set represent the field perfomance of the BGEM lines and testcross hybrids for oil content (oil, %) and ten fatty acids traits: palmitic acid (16:0, %), palmitoleic acid (16:1, %), stearic acid (18:0, %), oleic acid (18:1, %), linoleic acid (18:2, %), linolenic acid (18:2, %), arachidic acid (20:0, %), gadoleic acid (20:1, %), docosanoic acid (22:0, %) and tetracosanoic acid (24:0, %). On the other hand, the genotypic data set are GBS markers.