Juliana Benevenuto

Genome-wide association study reveals candidate loci for resistance to anthracnose in blueberry

This study identifies candidate loci for anthracnose resistance in blueberries using genome-wide association analysis and image-based disease scoring.

THE HAPLOTYPE-RESOLVED AND CHROMOSOME-SCALE GENOME OF VACCINIUM STAMINEUM: A NEW SOURCE OF GENETIC VARIABILITY FOR BLUEBERRY BREEDING

This study presents the first haplotype-phased reference genome of V. stamineum, a blueberry wild relative, revealing genetic traits useful for breeding programs.

Blueberry and cranberry pangenomes as a resource for future genetic studies and breeding efforts

This paper constructs and analyzes the first pangenomes for blueberry and cranberry, revealing high genetic diversity and identifying genes associated with disease resistance and fruit quality.

Using visual scores and categorical data for genomic prediction of complex traits in breeding programs

This study evaluates methods for genomic prediction using categorical data in breeding programs, finding that mixed models and Bayesian approaches perform well despite normality violations.

Genomic Prediction In An Outcrossing Autotetraploid Fruit Crop: Lessons From Blueberry Breeding

This paper summarizes genomic prediction strategies for autotetraploid blueberry, showing the importance of model parametrization, sequence depth, and genotype calling for improving breeding efficiency.

High-Resolution Linkage Map and QTL Analyses for Machine Harvest Traits in Autotetraploid Blueberry

This study creates a high-resolution linkage map for autotetraploid blueberry and identifies QTLs for machine harvest traits like firmness and detachment force.