Valérie Combes

A new evolution-based genomic prediction model forecasts yield performance across environments and future climates and identifies adapted maize landraces

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.

Deciphering the genetic diversity of landraces with high-throughput SNP genotyping of DNA bulks: methodology and application to the maize 50k array

The paper develops a DNA bulk SNP genotyping method for landraces and applies it to maize, showing accurate allelic frequency estimation and low ascertainment bias.

Genome-wide SNP genotyping of DNA pools identifies untapped landraces and genomic regions that could enrich the maize breeding pool

The paper uses SNP genotyping of DNA pools to identify landraces and genomic regions with untapped genetic diversity for maize breeding.

Disentangling group specific QTL allele effects from genetic background epistasis using admixed individuals in GWAS: an application to maize flowering

The paper introduces a GWAS method to identify QTLs with group-specific allele effects in admixed populations, applied to maize flowering time data.

High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix(R) Axiom(R) array

The paper develops a high-throughput method to genotype InDels in maize using an Affymetrix Axiom array, achieving high reliability and reproducibility.

Genotyping-by-sequencing and microarrays are complementary for detecting quantitative trait loci by tagging different haplotypes in association studies

The paper compares genotyping-by-sequencing and microarrays for detecting QTLs, showing they complement each other by tagging different haplotypes and improving detection power and localization.