The aims of the project are to:

1) Identify QTL for the effect of drought and density on biomass and seed yield components of Setaria.
2) Conduct in–depth physiological profiles in roots and leaves of a subset of selected lines
3) Integrate datasets and develop metabolic and gene networks for Setaria
4) Develop transformation technologies for Setaria viridis
5) Functionally examine the role of candidate genes deduced by network models 6) Develop protocols and best practices for monitoring gene flow in transgenic Setaria. 

To achieve these aims we will produce one of the most extensive molecular characterizations of plant growth in the field to date, generating several million data points that will be collected from physiological and molecular genetic studies.  We will develop novel informatics models and network tools that will guide future molecular characterization in S. viridis and guide breeding efforts in major feedstock targets.  The ethical, legal, and societal implications (ELSI) activity will lay the foundation for future studies and establish S. viridis as the model system for bioenergy grass research.

We will make all of the data available through this website and public repositories in a timely manner.