Characterization of Genomic Signatures for Rice Crop Resilience in Response to Climate Change in the U.S.
Dale Bumpers National Rice Research Center
Project Number: 6028-21220-005-27
Start Date: Oct 01, 2013
End Date: Mar 31, 2017
The goal is to evaluate the resiliency of southern US rice production in response to increasing climate uncertainty by developing models that integrate historical rice yield data at the county and farm level, weather variables, and genotypic parameters. The project will focus on rice production in the southern U.S. as a model system because of the short breeding history, publically accessible germplasm, well developed genomic resources, constrained but environmentally variable production region, and breadth of data availability. This represents the first large-scale attempt to model the relationship between molecular marker variation, varietal productivity, and historical weather variation at the landscape level. Objectives are to: 1) empirically analyze historical yield and weather data to identify significant weather-related constraints to historical U.S. rice production and define climate projections expected to characterize future growing environments; 2) model the relationship between historical rice yields at the county and farm level, climatological events, and genotypic diversity across the southern U.S.; 3) develop a public database to facilitate access to datasets and models developed on the project that can serve as the basis for accelerating new cultivar development and enhancing rice adaptation to extreme climates.
The McClung lab will be responsible for obtaining seed of historical rice varieties and key parents in the US pedigree to be genotyped on the project. The McClung lab will also be responsible for compiling archived URRN datasets between 1983 and 2013 from all Southern US growing locations (3-5 depending on the year) using what existing electronic files exist and converting hard copies of records into electronic files. These files will be organized into a common format, verified, and collated for each year. The data files will be made available to project members directly as well as URRN collaborators through a password protected website at DBNRRC.