Laurence Moreau

This paper demonstrates that UAV-based phenomic selection can predict field performance of nursery-grown maize and pea genotypes without genotyping.

The paper investigates how genetic variation in common bean affects plant-plant interactions with maize, showing that effects depend on neighbor identity and environmental context.

This study identifies heterotic group-specific haplotypes and shows that residual inbreeding from commercial hybrids negatively impacts maize grain yield.

This paper introduces CPS-MT, a breeding strategy that improves a target trait while maintaining essential traits within ranges by evaluating cross-pairs based on predicted progeny distributions.

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 integrates multi-omics data to identify genes influencing yield in maize, showing improved resolution and predictive power compared to GWAS.

The paper uses multi-omics data from controlled conditions to predict platform and field traits in maize hybrids, showing higher predictive abilities than GBLUP for platform traits but only slight improvements for field traits.

The paper introduces a method to detect directional and non-directional epistasis in bi-parental populations using genomic data and applies it to maize and soybean populations, finding significant epistatic effects.

The paper proposes optimal cross selection strategies to broaden genetic diversity in breeding programs while maintaining short-term performance.

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

This study improves genetic gain in breeding programs by incorporating within family variance into optimal cross selection, enhancing both short and long term gains.

The paper introduces UCPC to evaluate genetic gain and parental contributions in multi-parental crosses for plant breeding, validated in maize introgression scenarios.