Miguel Vallebueno‐Estrada

The paper introduces UME, a variant calling method that reduces coverage bias in maize genomes, generating an unbiased haplotype map with over 64.5 million SNPs from 818 diverse individuals.

The paper shows that expressing VuBBML1 in both egg and central cells of cowpea, along with central cell fertilization, enables parthenogenesis and viable haploid seed formation.

This study analyzes the evolution of root phenotypes in maize during domestication by linking ancient DNA, paleobotany, and modeling to environmental changes in Tehuacan Valley.

This study investigates how heavy metal stress influenced the evolutionary transition from teosinte to maize by analyzing gene expression and genetic diversity in response to copper and cadmium exposure.

The paper uses computational modeling and machine learning to identify anatomical root phenotypes in maize landraces that enhance yield stability across environments.

The paper introduces Multi-GBS, a high-throughput GBS protocol for conifer genomes, and demonstrates its ability to call over a million variants across multiple populations with minimal technical bias.