Pedro Revilla

The paper introduces a genomic prediction model that forecasts yield performance across environments and future climates and identifies adapted maize landraces by integrating genomic offset and gene diversity.

This study examines genotype-dependent responses to water deficit in maize, finding increased cell wall digestibility linked to reduced p-coumaric acid and lignification in the rind.

This study investigates the evolutionary history of the maize pathogen Colletotrichum graminicola, revealing geographic differentiation, long-distance gene flow, and recombination shaping its global genomic structure.

This study uses population genomics to analyze genetic diversity and reproductive biology of Colletotrichum graminicola, revealing global genetic structure and evidence of sexual recombination.