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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Soil Management and Sugarbeet Research » Research » Publications at this Location » Publication #408431
Research Project: Genomic Mining of Sugar Beet Crop Wild Relative Germplasm Resources for New Sources of Disease Resistance

Location: Soil Management and Sugarbeet Research

Title: A genomic retrospective of beet breeding progress

Author
item Dorn, Kevin

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 11/29/2023
Publication Date: 11/30/2023
Citation: Dorn, K.M. 2023. A genomic retrospective of beet breeding progress. Plant Genomics and Gene Editing Congress Asia. Meeting Abstract.

Interpretive Summary:

Technical Abstract: Sugar beet (Beta vulgaris) provides over 20% of refined sugar production globally. Losses to a growing number of pests and pathogens highlights the need to improve host plant resistance. To rapidly identify quantitative trait loci (QTL) for key fungal disease resistance traits, we have developed multiple "purpose-built" chromosome-scale beet genome assemblies to avoid reference genome bias and improve mapping precision. We have successfully mapped the genomic location of novel resistance QTLs derived from both USDA-ARS pre-breeding germplasm and from wild sea beet populations. Large scale population-level resequencing has identified the prevalence these resistance genes in both pre-breeding and gene bank collections. These genomic resources and newly identified resistance traits enable the stacking of robust resistance to globally important diseases facing beet production, plus providing the tools necessary to study the molecular interaction between sugar beet and its major pathogens.