Guillaume Jean Bauchet

The paper validates SNP markers for marker-assisted selection in cassava to improve carotenoid and dry matter content, showing high correlation for carotenoids but lower for dry matter.

The paper presents a population-based transcriptomics atlas of cassava, identifying differentially expressed genes and gene modules related to disease resistance and physiological traits.

The paper develops an open-source R package, waves, for spectral data analysis in plant breeding and integrates it into the Breedbase database to enhance spectral data handling and analysis.

This study performs a genome-wide association analysis on cassava to identify genetic loci associated with defensive, agro-morphological, and quality traits, uncovering 41 significant associations and candidate genes.

The paper identifies genetic loci associated with cyanide content in cassava, finding two major genes contributing to HCN levels and developing markers for breeding.

The paper identifies beneficial introgressed alleles from M. glaziovii in modern cassava germplasm, showing they improve traits like yield and disease tolerance and are under balancing selection.