Hannele Lindqvist‐Kreuze

The paper identifies Rladg, a potato TIR-NLR receptor that confers broad-spectrum resistance to poleroviruses by recognizing conserved protease structures.

This study uses UAV-derived multispectral imagery and machine learning to predict late blight severity in potato genotypes, showing improved accuracy over traditional methods.

The paper develops a mid-density targeted GBS assay for potato using DArTag technology and evaluates its performance with polyBreedR software for imputation and trait tracking.

This study identifies stable and environment-specific QTL for late blight resistance in tetraploid potato using multi-environment trials and develops prediction models for breeding programs.

This study evaluates the impact of sequencing depth, marker number, and genetic models on genomic selection accuracy in autopolyploid crops, finding that fewer SNPs and additive models are sufficient for most traits.