Understanding the basis of genetic variation for desirable agronomic traits in the staple food
source Zea mays (maize) is important for crop improvement and for developing maize as a …

Maize harbours tremendous natural diversity, which can be used for improvement. In our
ongoing effort to characterize molecular and functional diversity in the maize genome, we …

Assessing genetic diversity, population structure, and linkage disequilibrium is important in
identifying potential parental lines for breeding programs. In this study, we assessed the …

Parental selection is perhaps the most critical decision a breeder makes, establishing the
foundation of the entire program for years to come. Cross selection based on predicted …

A currently popular strategy (EMMAX) for genome-wide association (GWA) analysis infers
association for the specific marker of interest by treating its effect as fixed while treating all …

One of the most important statistical methods of handling large data sets for genome-wide
association mapping (GWAS) is quantitative trait loci (QTL) analysis. Two approaches to …

Both genome‐wide association studies (GWAS) and genomic selection (GS) are done using
phenotypic and genomic data. The phenotypic data are usually based on multi‐environment …

With the development of large-scale molecular phenotyping platforms, genome-wide
association studies have greatly developed, being no longer limited to the analysis of …

The level of population structure and the extent of linkage disequilibrium (LD) can have
large impacts on the power, resolution, and design of genome-wide association studies …

Linking natural genetic variation to trait variation can help determine the functional roles
ofdifferent genes. Variations of one or several traits are often assessed separately. High …