Abstract Detail

Enriching basic and applied botany through multi-stakeholder collaborations

Schori, Melanie [1], Leon, Blanca [2], Kittell, Karen [3].

Crop Wild Relative data in the Germplasm Resources Information Network.

The U.S. National Plant Germplasm System provides researchers and breeders with data on plant taxonomy and allows germplasm to be requested from the U.S. Department of Agriculture’s 18 repositories through its Germplasm Resources Information Network (GRIN). A recent update of the GRIN website, combined with extensive software restructuring, provides access to additional data, especially for crop wild relatives (CWR). Genepool assignments have been supplemented with breeding traits, which are grouped into trait classes such as abiotic, agronomic, and fertility. Specific breeding uses for resistance to pests or diseases can be queried, and crop ontology identifiers will be added as they become available. As of May 2020, the CWR trait data included over 2,300 records for the 242 crops with CWR genepool assignments. Search results, including genepool assignments, graft stock uses, potential and confirmed breeding traits, and distributions for both crop and CWR, can be exported from the website for further data exploration. The GRIN CWR webpage will assist breeders and plant biologists who characterize crop taxa and their relatives as well as germplasm curators and land managers who are working to preserve CWR for the future of plant breeding.

1 - USDA, ARS, National Germplasm Resources Laboratory, 10300 Baltimore Ave., Bldg. 003, Rm. 124, BARC-West, Beltsville, MD, 20705, USA
2 - PLANT RESOURCES CENTER, 110 Inner Campus Dr F0404, Austin, TX, 78712, United States
3 - USDA, ARS, National Germplasm Resources Laboratory, 10300 Baltimore Ave., Beltsville, MD, 20705, USA

Keywords:
germplasm
crop wild relatives
breeding traits
genepools.

Presentation Type: Colloquium Presentations
Session: COL03, Enriching basic and applied botany through multi-stakeholder collaborations
Location: Virtual/Virtual
Date: Thursday, July 30th, 2020
Time: 11:30 AM
Number: COL03006
Abstract ID:643
Candidate for Awards:None