Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …

Transcription factors (TFs) are important regulators of gene expression. To better understand
TF‐encoding genes in maize (Zea mays L.), a genome‐wide TF prediction was performed …

Embryogenic tissue culture systems are utilized in propagation and genetic engineering of
crop plants, but applications are limited by genotype-dependent culture response. To date …

Phenotypic evaluation and efficient utilization of germplasm collections can be time-
intensive, laborious, and expensive. However, with the plummeting costs of next-generation …

Genomic prediction provides an efficient alternative to conventional phenotypic selection for
developing improved cultivars with desirable characteristics. New and improved methods to …

Maize (Zea mays L.) has been a focus of scientific research and breeding for over a century.
It is also one of the most economically important crops in the world, with a value of …

Plant breeders regularly evaluate multiple traits across multiple environments, which opens
an avenue for using multiple traits in genomic prediction models. We assessed the potential …

Networks are powerful tools to uncover functional roles of genes in phenotypic variation at a
system-wide scale. Here, we constructed a maize network map that contains the genomic …

Transcriptome analysis is a valuable tool for identification and characterization of genes and
pathways underlying plant growth and development. We previously published a microarray …

Categorical scores for disease susceptibility or resistance often are recorded in plant
breeding. The aim of this study was to introduce genomic models for analyzing ordinal …