AG2PI Conference #4 - September 9-10, 2022
Co-hosted with the United States Department of Agriculture - National Institute of Food and Agriculture (USDA-NIFA)
AG2PI Conference #4: Thinking Big: Visualizing the Future of AG2PI
Thinking Big: Visualizing the Future of AG2PI
was held September 9-10, 2022, in Ames, IA.
The goal of this two-day think tank-like workshop was to look ahead to where the field of agricultural
genomes-to-phenomes is heading and where it needs to go. Discussions from this conference are being
collated into a concept paper and used to recommend how future funding might be directed by NIFA to
support ag G2P work for the biggest impact. Ideas inspired from this workshop will continue to inform
actions related to improving production, quality and health of crops and livestock that the world's
population and feed into America's workforce.
The recordings linked on this page include:
- The keynote from Dr. Patrick Schnable, AG2PI Principal Investigator
- A review of survey findings by Dr. Christopher Tuggle, AG2PI co-PI
- The Stakeholder Panel discussion, which included representatives from National Corn Growers Association, National Swine Improvement Federation, American Seed Trade Association, National Association of Wheat Growers and Cotton Incorporated
- Lightning talks by seed grant Principal Investigators on their projects
Conference Recordings
Keynote Presentation
AG2PI Community Surveys
Stakeholder Panel Discussion
Seed Grant Lightning Talks
Presentations:
Procedural Sorghum Generation and Simulation
Cattle Genome to Herd Phenotyping for Precision Ag (CG2HP)
Event-Based Plant Phenotyping using Deep Learning: Algorithms, Tools and Datasets
GPS Collars as Precision Agriculture Tools for Managing Extensive Rangeland Production Systems
Sharing UAS based HTP Data via Public Clouds
Cross-Species Genomic Analysis of Photosystem II: Building Connections from Molecular Structure to Phenotype
Impact of Breed Type on Beef Production and Sustainability
Developing a Cost-Effective Method for Collecting Informative, Population-Level Molecular Phenotypes
