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ARS Home » Northeast Area » Geneva, New York » Grape Genetics Research Unit (GGRU) » Research » Publications at this Location » Publication #288631

Title: VitisGen: accelerating grape cultivar improvement

Author
item HYMA, KATIE - Cornell University
item SUN, QI - Cornell University
item MITCHELL, SHARON - Cornell University
item ACHARYA, CHARLOTTE - Cornell University
item Londo, Jason
item COUSINS, PETER - Former ARS Employee
item FENNELL, ANNE - South Dakota State University
item HWANG, CHIN-FENG - Missouri State University
item LU, JIANG - Florida A & M University
item LUBY, JIM - University Of Minnesota
item Ramming, David
item REISCH, BRUCE - Cornell University
item Cadle-Davidson, Lance

Submitted to: Annual International Plant & Animal Genome Conference
Publication Type: Abstract Only
Publication Acceptance Date: 10/31/2012
Publication Date: 1/1/2013
Citation: Hyma, K., Sun, Q., Mitchell, S., Acharya, C., Londo, J.P., Cousins, P., Fennell, A., Hwang, C., Lu, J., Luby, J., Ramming, D.W., Reisch, B., Cadle Davidson, L.E. 2013. VitisGen: accelerating grape cultivar improvement. Annual International Plant & Animal Genome Conference, San Diego, CA.

Interpretive Summary:

Technical Abstract: VitisGen is a multiple institute collaborative project funded by the USDA SCRI program, with a long term goal to accelerate grape cultivar improvement by using cutting-edge molecular marker technologies, rigorous centralized facilities to characterize traits, and molecular breeding expertise. The genotyping team of the VitisGen project adopted the genotyping-by-sequencing (GBS) platform, which is a high-throughput and low-cost genotyping platform originally developed for the highly inbred maize and sorghum populations. We will present an overview of the technology, current progress in adapting GBS for marker discovery and map construction in the outcrossing grape populations, and strategies for transitioning from marker discovery to marker application using GBS. We will also discuss the development of QA/QC procedures for large scale cross disciplinary research collaborations.