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ARS Home » Pacific West Area » Pullman, Washington » Plant Germplasm Introduction and Testing Research » Research » Publications at this Location » Publication #370549

Research Project: Management of Priority Legume, Oilseed, Vegetable, Forage Grass, Sugar, Ornamental, and Medicinal Plant Genetic Resources and Associated Information

Location: Plant Germplasm Introduction and Testing Research

Title: The Pulse Crop Database: Expanding the cool season food legume database into a resource for pulse crop discovery and improvement

item HUMANN, JODI L. - Washington State University
item CRABB, JAMES - Washington State University
item CHENG, CHUN-HUAI - Washington State University
item LEE, TAEIN - Washington State University
item ZHENG, PING - Washington State University
item BUBLE, KATHERYN - Washington State University
item JUNG, SOOK - Washington State University
item YU, JING - Washington State University
item FRANK, MORGAN - Washington State University
item MCGAUHEY, DEAH - Washington State University
item HOUGH, HEIDI - Washington State University
item Coyne, Clarice - Clare
item McGee, Rebecca
item MAIN, DORRIE - Washington State University

Submitted to: North American Pulse Improvement Association
Publication Type: Abstract Only
Publication Acceptance Date: 9/15/2019
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: The Cool Season Food Legume Database (CSFL, is being expanded under National Research Support Project 10 (NRSP10, to include common bean, cowpea, pigeon pea, groundnut, lupin, and vetches. Renamed the Pulse Crop Database (PCD,, the new online resource focuses on access to curated and integrated data and tools to enable pulse crop discovery, translation and improvement. PCD includes publicly available genomics, genetics and breeding data including genomes, genes, transcripts, genetic maps, markers, QTL, germplasm, phenotype and publications, with integrated tools to easily access, view, filter and download the data. PCD users can: view and compare genetic maps using the MapViewer tool; search markers by type, organism, and/or location; search genome sequences with BLAST; view genomes with JBrowse and the Synteny Viewer; and explore genome metabolic pathways using PathwayCyc. The Breeding Information Management System (BIMS) in PCD allows for management of breeding programs via private user accounts while also enabling access to publicly available pulse phenotype data downloaded from the GRIN database. BIMS works with the Android app Field Book for streamlined phenotype data collection and upload, or with spreadsheet templates provided for data upload. Once the breeding program data is in BIMS, the secure data can be viewed, filtered, analyzed, and archived and used to create templates for data entry. BIMS is being furthered developed to include genotype data upload and querying with more advanced analysis capability using high performance computing.