Delphine Van Inghelandt

This study identifies genetic loci associated with lignocellulosic recalcitrance in maize using GWAS on a diversity panel.

The paper derives algebraic methods to predict segregation variance in autotetraploid species, compares them with simulations and empirical data, and finds they correlate well with simulations but not with empirical data due to small family sizes.

The paper develops and validates a high-density SNP array for potato, demonstrating its utility in genetic diversity analysis, GWAS, and genomic prediction.

This study identifies genetic loci and cellular mechanisms underlying flag leaf size variation in barley using a multi-parent population and fine mapping.

This study evaluates cross-selection methods with genomic selection in potato breeding to improve long-term genetic gain while maintaining diversity.

This study evaluates how genomic selection (GS) can improve genetic gain in clone breeding programs, showing that GS strategies outperform phenotypic selection and recommend specific implementation stages for potato breeding.

This study benchmarks SV callers for sensitivity and precision in barley genomes, finds associations between SV clusters and gene expression, and shows their superior predictive power for phenotypes compared to SNPs.