Maize (Zea mays L.) kernel oil provides high‐quality nutrition for animal feed and human
health. A certain number of maize breeding programs seek to enhance oil concentration and …

Background In recent years, with the development of high-throughput sequencing
technology and the commercial availability of genotyping bead chips, more attention is …

Core Ideas The multiple single nucleotide polymorphism (multi‐SNP) and haplotype‐based
approaches that jointly consider multiple markers unveiled a larger number of associations …

Genomic prediction typically relies on associations between single-site polymorphisms and
traits of interest. This representation of genomic variability has been successful for predicting …

The characterization of genomes with great detail offered by the modern genotyping
platforms have opened a venue for accurately predicting the genotype-by-environment …

Genome-wide association studies (GWAS) have identified loci linked to hundreds of traits in
many different species. Yet, because linkage equilibrium implicates a broad region …

Key message Inclusion of historical training data improved the genomics-based prediction of
performance of maize hybrids, the extent depending on the phenotypic trait and genotype-by …

We used two probabilistic methods, Gaussian Naïve Bayes and Logistic Regression to
predict the genotypes of the offspring of two maize strains, the BLC and the JNE genotypes …

Recent results indicate that association mapping in populations from applied plant breeding
is a powerful tool to detect QTL which are of direct relevance for breeding. The focus of this …

We investigated the genetic and statistical properties of the nested association mapping
(NAM) design currently being implemented in maize (26 diverse founders and 5000 distinct …