Kevin Dorn

The paper presents a chromosome-scale genome and methylome assembly for table beet, identifies candidate genes for geosmin production, and compares it with sugar beet.

The paper identifies deleterious mutations in sugar beet by combining evolutionary models and deep learning, showing a decline in genetic load over time due to breeding.

The paper presents a chromosome-scale, haplotype-phased genome of sugar beet line FC309 and identifies a QTL for Fusarium Yellows resistance on Chromosome 3.

This paper develops a standard area diagram (SAD) to improve the accuracy and precision of Fusarium yellows disease rating in sugar beet, showing no statistical difference between two SAD versions and demonstrating machine learning models' congruency with human estimates.

The paper presents a contiguous de novo genome assembly of sugar beet EL10 using long-read sequencing and scaffolding, showing high congruence with the reference genome and reduced gene copy number variation.

This study assembles and annotates the transcriptome of johnsongrass rhizomes to identify genes potentially specific to rhizome development.