2302
Evogene - Trait Improvement Driven By OMIC-Discovery 

In light of the increasing gap between global supply and demand for food, feed and fuel, the improvement of plant traits in order to increase crop productivity and health is an emerging need. These traits range from yield enhancement and abiotic stress resistance such as drought tolerance, to developing plant resistance to biotic threats such as insects and diseases. During the last decade, both industry and academia efforts have shown a shift towards OMIC-based discovery to unravel the genetic elements underlining these traits of interests. These worldwide research efforts focus on gaining knowledge on trait genetics by harnessing OMIC data. The discovered genetic elements are then utilized through different applications, consisting of both GM and non GM approaches. OMIC-based discovery relies on analysis of 'Big Data', incorporating various types and sources of genomic and phenotypic information. With the rapid decrease in sequencing costs and the development of novel algorithms that address the growing flow of data available, OMIC-based discovery for trait improvement is expected to play a major role in trait development. This workshop will present the recent trends in OMIC-based discovery for trait improvement, focusing on advances in computational approaches for analysis of OMIC 'Big Data'.
Date: Tuesday, January 14, 2014
Time: 4:00 PM-6:10 PM
Room: San Diego
Organizer:
Efrat Barak Zadok
Chair:
Dr. Hagai Karchi
4:40 PM
Metabolomics and Its Application for Trait Improvement
Lothar Willmitzer, Max Planck Institute of Molecular Plant Physiology

5:00 PM
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