Meng Lin

The paper identifies genes associated with cuticular wax biogenesis in maize leaves through integrative multi-omic analysis, linking wax composition to leaf cuticular conductance.

This paper identifies molecular markers associated with stem traits in alfalfa using GWAS and machine learning, finding thirteen significant markers linked to traits like stem color and winter injury.

The paper integrates GWAS and TWAS to identify 22 candidate genes regulating maize leaf cuticular conductance, with ISTL1 validated as a key gene through near-isogenic lines.

This study identifies candidate genes associated with maize leaf cuticular conductance through genome-wide association and provides insights for improving drought-tolerant maize breeding.

This study identifies 120 QTL associated with domestication traits in cotton using an F2 population, revealing subgenome-specific distribution and environmental variability.