W968
TripalBIMS: the Breeding Information Management System in Tripal

Date: Sunday, January 10, 2016
Time: 5:20 PM
Room: California
Sook Jung , Washington State University, Pullman, WA
Taein Lee , Washington State University, Pullman, WA
Chun-Huai Cheng , Washington State University, Pullman, WA
Jing Yu , Washington State University, Pullman, WA
Ksenija Gasic , Clemson University, Clemson, SC
B. Todd Campbell , USDA-ARS, Florence, SC
Katherine M. Evans , Washington State University, Wenatchee, WA
Cameron Peace , Washington State University, Pullman, WA
Dorrie Main , Washington State University, Pullman, WA
Breeding programs produce large amount of data that require efficient management systems to keep track of performance, pedigree, geographical and image-based data. With the development of DNA-based screening technologies, more breeding programs perform genotyping in addition to phenotyping for performance evaluation. The integration of breeding data with other genomic and genetic data is instrumental in the refinement of marker-assisted breeding tools, enhances genetic understanding of important crop traits and maximizes access and utility by crop breeders and allied scientists. We have previously developed a breeding database in the Genome Database for Rosaceae (GDR) and integrated with other genomic and genetic data.  While it is developed using Chado and Drupal, it is not developed in Tripal. We report the progress on TripalBIMS, the Breeding Information Management System in Tripal which we have implemented in CottonGEN, the genetic, genomic and breeding database for cotton. We highlight future plans for the development of a comprehensive breeding management system in Tripal.