Yan Ji

This study identifies QTLs associated with leaf width and its plasticity in tobacco and develops a GEAI model for cross-environment prediction, improving accuracy by 8.7%.

This study links host genetics, microbiome composition, and agronomic traits in tobacco using microbiome-wide association studies and genomic selection models to improve trait prediction.

The paper identifies genetic and transcriptomic variations in photosynthesis-related genes across Arabidopsis thaliana populations and links them to adaptive trait variation.

The paper develops a SNP array panel for Salix suchowensis to improve genotyping and identifies SNPs associated with growth traits.

The paper analyzes 1771 RNA-seq datasets from seven maize tissues to build a gene regulation atlas and link tissue-specific expression variation to agronomic traits.

The paper identifies polygenic basis and environmental interactions underlying rapid flowering time response in Arabidopsis thaliana across diverse environments.

This study identifies QTLs and genetic factors influencing phenotypic plasticity in maize traits across different environments, improving prediction accuracy for key agronomic traits.