Grégoire Aubert

The paper presents an improved pea genome assembly using long-read sequencing and other techniques, resulting in a highly contiguous and complete genome resource.

This study evaluates phenomic and genomic selection for pea yield traits, finding that integrating spectral and molecular data improves prediction accuracy for complex traits.

This study identifies genomic regions associated with frost tolerance in Vicia faba and finds syntenic loci across cool-season legumes, highlighting candidate genes and potential for trait improvement.

The paper identifies the molecular basis of the afila mutation in pea, showing it results from the deletion of two zinc finger transcription factors and reveals haplotype diversity at the af locus.

The paper discovers SNPs in a pea germplasm collection using exome capture and resequencing to support genome-wide association studies.

The paper investigates whether increasing meiotic crossovers in crop species hybrids is possible by mutating orthologs of genes identified in Arabidopsis.