Role of population-scale, low-pass WGS in accelerating crop improvement

In this webinar, Josh Clevenger from HudsonAlpha Institute for Biotechnology presents a case study for allele mining of peanut pangenome graphs for disease resistance using scalable low-pass whole genome sequencing.

Title – The Role of Population-scale, Low-pass WGS in Accelerating Crop Improvement

Abstract – 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 whole genome sequencing and graph-based imputation.

During the webinar, you’ll 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™
    Identifying peanut smut resistance using AgriPrep library prep for low-pass WGS
  • Accelerating the impact through global collaboration
    Hear about key global partnerships for rapid crop improvement