J. Vladimir Torres‐Rodríguez

The paper identifies genetic variants at transcription factor binding sites that explain a large portion of phenotypic heritability in maize under different water conditions.

This study identifies genetic determinants of flowering time variation in sorghum using genome and transcriptome-wide association studies, revealing conserved gene functions but non-orthologous gene involvement compared to related species.

This study identifies genetic variants associated with photosynthetic traits in maize by controlling environmental and spatial confounders, revealing high-confidence GWAS signals and validating candidate genes through insertion alleles.

The paper identifies genomic intervals and transcripts associated with metabolite abundance variation in maize under field conditions using GWAS and transcriptome-wide association studies.

The paper uses image analysis models to quantify seed color in sorghum, finding they outperform human assessment and identify more genomic signals linked to seed color genes.

This study uses data-driven methods to analyze hyperspectral leaf reflectance data from maize plants, identifying genetic markers correlated with reflectance patterns and chlorophyll content.

This study uses transcriptome-wide association studies in maize to identify flowering time genes, finding TWAS detects more genes than GWAS and links gene expression to function across tissues and environments.

This study shows that expression of a limited number of genes can predict flowering time in maize more accurately than genome-wide SNPs.

This study investigates the gene regulatory effects of a 13 Mb chromosomal inversion in highland maize using transcriptomic data to identify its adaptive significance.