Search and Access Archived Conference Presentations

2019 ASHS Annual Conference

Data Access and Use: From Rosbreed Data Management to Genomic Prediction

Monday, July 22, 2019: 8:30 AM
Montecristo 3 (Tropicana Las Vegas)
Dorrie Main, Washington State University, Pullman, WA
Sook Jung, Washington State University, Pullman, WA
Cameron Peace, Washington State University, Pullman, WA
Nahla Bassil, USDA-ARS Corvallis, Corvallis, OR
Craig M. Hardner, University of Queensland, St Lucia, Australia
James R. McFerson, Washington State University, TFREC, Wenatchee, WA
Amy F. Iezzoni, Michigan State University, East Lansing, MI
Taein Lee, Washington State University, Pullman, WA
Chun-Huai Cheng, Washington State University, Pullman, WA
Heidi Hough, Washington State University, Pullman, WA
James J Luby, University of Minnesota, Saint Paul, MN
Ksenija Gasic, Clemson University, Clemson, SC
Jodi L. Humann, Research Assoc., Washington State University, Pullman, WA
Daniel Edge-Garza, Clemson University, Clemson, SC
Jason Zurn, USDA-ARS NCGR, Corvallis, OR
Lisa Wasko DeVetter, Washington State University Northwestern Washington Research and Extension Center, Mount Vernon, WA
Kate Evans, Washington State University, Wenatchee, WA
Audrey Sebolt, Michigan State University, East Lansing, MI
Stijn Vanderzande, Washington State University, Pullman, WA
Michael Coe, Cedar Lake Research Group, Portland
For the last decade RosBREED project participants have been generating and analyzing large amounts of phenotypic and genotypic data for both discovery and translation in Rosaceae breeding. We highlight how these data has been managed, what tools have been developed in the Genome Database for Rosaceae to enable access and use of this data and what news tools are being developed to enable global genomic prediction of performance.