CottonGen BIMS for Effective and Efficient Management of Breeding Data

Working group session: 
Comparative Genomics and Bioinformatics
Presentation type: 
15 minute Oral
Authors: 
Yu, Jing
Lee, Taein
Jung, Sook
Campbell, B. Todd
Gasic, Ksenija
Humann, Jodi
Hough, Heidi
Jones, Don
Percy, Richard
Main, Dorrie
Author Affliation: 
Washington State University
Washington State University
Washington State University
Washington State University
Washington State University
Washington State University
Washington State University
Washington State University
Washington State University
Washington State University
Abstract: 
Advances in sequencing, sensor, drone and computational technology have led to increasing volumes of genotype and phenotype data being collected and tracked by modern breeding programs. To efficiently store, manage and integrate these large private and public research data sets so breeders can use these data efficiently in decision-making, we are developing the Tripal Breeding Information Management System (BIMS). Now available in CottonGen, BIMS v1.0 currently allows breeders to create and manage access to their breeding programs, upload phenotype data from the Field Book App or excel templates, generate input files for Field Book, archive their entire data in BIMS, search and filter by accessions/lines by name, trial, location, cross, parent and traits, and perform basic statistical analysis. We also have an open version of BIMS where the community can search, filter and download publicly available phenotype data housed in CottonGen. The use of Field Book and BIMS promotes the use and development of standard trait descriptors and metadata collection. We demonstrate current functionality and highlight future plans for BIMS development as a data management and analysis solution for cotton breeding.