Plant pathogens can cause havoc in global supply chains, because commodities move freely between continents. Crop improvement, which is usually local, becomes global, and causative gene variation needs to be identified and used on continents where pathogens may not be established yet. Pangenome graphs give access to all variation within a population and greatly accelerate the discovery of causative variation. Selection of superior genotypes within breeding populations is greatly improved using low-pass WGS and graph-based imputation.

You Will Learn

• Implementation of a high-throughput NGS library preparation workflow for agrigenomics
  See the results of an evaluation of scalable library preparation solutions and integration on an automation platform.
• Benefits of population-scale, low-pass sequencing and pangenomes
  Discover how this approach accelerates genomic selection and trait mapping
• Real-world application of seqWell AgriPrep™
  Case study highlighting allele mining to identify peanut smut resistance using AgriPrep library prep for high-throughput, low-pass WG
• Accelerating the impact through global collaboration
  Hear about key global partnerships for rapid crop improvement