Marie Pégard

How robust are genomic offset predictions to methodological choices? Insights from perennial ryegrass

This study compares two methods for detecting outliers in genomic offset predictions and finds that non-linear methods are less sensitive to sampling biases.

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.

Genome-wide association study and genomic prediction of lucerne traits shaping living mulch performance

This paper uses GWAS and genomic prediction to identify genetic factors influencing lucerne traits relevant to ideotype breeding, finding high accuracy in diverse populations but lower in synthetic ones.

Natural variation in chalcone isomerase defines a major locus controlling radial stem growth variation among Populus nigra populations

Sequence Imputation from Low Density Single Nucleotide Polymorphism Panel in a Black Poplar Breeding population

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.