Kirstin E. Bett

The paper screens lentil lines for resistance to PSbMV and develops KASP markers based on eIF4E gene variants associated with resistance.

The paper assembles genomes of seven Lens species and identifies fragile chromosomes linked to pericentric inversions and centromere diversity.

SVPopEx is an interactive tool for visualizing and exploring structural variants across populations, excelling in clear representation and cross-genome comparisons.

The paper identifies lentil genotypes adapted to Mediterranean agro-ecosystems by evaluating 46 genotypes across multiple field trials and environmental conditions.

This paper develops a lentil NAM population to identify loci underlying complex traits, finding 14 significant loci including novel associations near AP3a, HUB2a, and PIF6 genes.

The paper uses oligo-FISH to validate genome assemblies and produce the most precise karyotype for Lens species, confirming chromosome assignments and structural rearrangements.

The paper evaluates protein and amino acid concentration in lentils using NIRS and genome-wide association analyses to identify markers for breeding improvements.

The paper evaluates mineral composition variability in Canadian lentil cultivars across site-years and tissue types, identifying stable and genotype-dependent mineral concentrations.

The paper tests a new spectrophotometer (Nix) for assessing red colour intensity in milled red lentil flour, finding it comparable to the industry standard HunterLab colorimeter.

This study maps QTLs for seed Fe concentration in a lentil interspecific RIL population, identifying two genomic regions explaining 11.9-20.5% of phenotypic variation.

This paper uses CRISPR/Cas9 to deplete repetitive DNA in lentil genomes, improving genotyping accuracy and efficiency by focusing sequencing on single-copy regions.

The paper uses GWAS on latent variable phenotypes from multi-environment trials to identify flowering time genes and QTL in lentil, enhancing understanding of phenology-related traits.

The paper identifies two loci, DTF6a and DTF6b, that control early flowering in lentil, with DTF6a being sufficient for early flowering even in short photoperiods.

This study identifies QTLs for key phenological traits in lentil, providing markers for marker-assisted selection to improve adaptation to temperate environments.

This study identifies anthracnose resistance loci in lentil by combining QTL mapping and GWAS, revealing key genomic regions and SNPs for marker-assisted breeding.

This study evaluates genomic selection models for lentil breeding using empirical data, finding that single-trait models perform well without large effect QTL, while models accounting for GEI and multiple traits improve accuracy for low heritability traits.