Manwinder S. Brar

This study identifies genetic and phenotypic factors contributing to stalk lodging resistance in maize by analyzing intermediate traits and their genetic correlations.

This study improves genomic prediction of stalk lodging resistance in maize by integrating multi-environment data, showing that multi-environment models significantly enhance prediction accuracy for most traits.

This paper identifies key metabolites and genes associated with salinity tolerance in maize using untargeted metabolomics and genetic analysis.

This study identifies novel metabolic and genetic factors associated with leaf senescence in maize through temporal analysis of physiological and metabolic changes.

The paper identifies 11 intermediate phenotypes related to stalk lodging resistance in maize and develops a high-density phenotypic dataset to enable genetic analysis and improve resistance.