Webinar on demand from Seqwell and HudsonAlpha Institute for Biotechnology
Join Josh Clevenger from the HudsonAlpha Institute for Biotechnology as he presents a compelling case study exploring how scalable low-pass whole genome sequencing (WGS) and pangenome graph analysis can accelerate crop improvement. Focusing on allele mining within peanut pangenomes, the webinar demonstrates how these technologies are being used to identify disease-resistance traits and support more effective breeding strategies.
Plant pathogens continue to threaten global food production, making it increasingly important to identify and deploy beneficial genetic variation before diseases emerge in new regions. This webinar highlights how population-scale, low-pass WGS, combined with graph-based imputation and pangenome analysis, enables researchers to uncover valuable genetic variation and accelerate the selection of superior crop genotypes.
During the webinar, you will learn:
- How a high-throughput NGS library preparation workflow was implemented for agrigenomics applications.
- The benefits of population-scale, low-pass sequencing and pangenome approaches for genomic selection and trait mapping.
- How SeqWell's AgriPrep™ workflow was used to identify peanut smut resistance through low-pass WGS.
- The role of global research collaborations in accelerating crop improvement and advancing agricultural innovation.
Register via the SeqWell website to watch the webinar and learn how scalable sequencing approaches are helping drive the future of crop genomics.
