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2018 ASHS Annual Conference

Using the Tripal Breeding Information Management System to Improve Breeding Efficiency

Thursday, August 2, 2018: 2:35 PM
Jefferson West (Washington Hilton)
Ksenija Gasic, Clemson University, Clemson, SC
Taein Lee, Washington State University, Pullman, WA
Sook Jung, Washington State University, Pullman, WA
Jodi Humann, Washington State University, Pullman, WA
Jing Yu, Washington State University, Pullman, WA
Heidi Hough, Washington State University, Pullman, WA
B. Todd Campbell, USDA-ARS, Florence, SC
Cameron Peace, Washington State University, Pullman, WA
Kate M. Evans, Washington State University - Tree Fruit Research and Extension Center, Wenatchee, WA
Dorrie Main, Washington State University, Pullman, WA
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 them efficiently in decision-making, we are developing the Tripal Breeding Information Management System (BIMS). BIMS is available in the rosaceae, citrus, cool season food legume, vaccinium and cotton NRSP10 Databases. It allows breeders to create and manage access to their breeding programs; upload phenotype data from the FieldBook App or Excel templates; upload genotype data; generate input files for the FieldBook App; archive their entire data to their own computers; search and filter by accessions/lines name, trial, location, cross, parent and trait values; and perform basic statistical analysis. BIMS is being developed in collaboration with public plant breeders. In this presentation we highlight current functionalities available in BIMS and demonstrate how it is being used to improve efficiency in a peach breeding program.