Patricia Faivre Rampant

The paper identifies QTLs and Vat homolog alleles associated with resistance to the A. gossypii CUC1 clone in melon using GWAS and pan-genome analyses.

The paper develops SNP markers for DUS testing in tomato, identifies marker-trait associations, and evaluates their discriminatory power for variety distinction.

The paper develops a 4TREE SNP array for three forest tree species to support breeding and conservation programs.

The paper develops and validates a 30K SNP genotyping tool for flax breeding, showing high polymorphism and genotyping accuracy.

The paper reconstructs NLR regions in melon accessions and uses pan-NLRome GWAS to identify resistance genes against Fusarium wilt and zucchini yellow mosaic virus.

The paper demonstrates Nanopore Adaptive Sampling (NAS) for enriching and reconstructing resistance genes in melon genomes, showing fourfold enrichment and accurate assembly across subspecies.

The paper presents high-quality genome assemblies for five melon accessions using Oxford Nanopore sequencing, highlighting their genomic diversity and utility for research on disease resistance and breeding.

This paper evaluates Oxford Nanopore and Bionano Genomics technologies for detecting structural variations in Arabidopsis thaliana, finding that ONT provides more specific SVs while Bionano better characterizes large SVs.

This study imputes low-density SNP panels to whole genome sequences in black poplar trees, achieving high accuracy and showing the impact of relatedness and SNP density on imputation quality.

This paper introduces phenomic selection, a low-cost, high-throughput method using near-infrared spectroscopy to predict complex traits in wheat and poplar with accuracy comparable to molecular markers.