G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction

Modeling the influence of phenotypic plasticity on maize hybrid performance

IP4GS:Bringing genomic selection analysis to breedersBringing genomic selection analysis to breeders

Machine learning bridges omics sciences and plant breeding

Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology

MODAS: exploring maize germplasm with multi-omics data association studies

Genome optimization via virtual simulation to accelerate maize hybrid breeding

LightGBM: accelerated genomically designed crop breeding through ensemble learning

The genetic mechanism of heterosis utilization in maize improvement

The genome of the warm-season turfgrass African bermudagrass (Cynodon transvaalensis)