The mission of the Consortium for Integrated Translational Biology (CITB) is to create a transdisciplinary environment to address the genotype to phenotype gap in plant science through the development of integrative predictive models for the selection of valuable traits that address yield, protection of yield, and quality traits across plant species used for food, feed, industrial applications and landscape resource. The CITB is directed towards facilitating translation of innovations to the field.

Modular Design Plant Phenotyping Module
The plant phenotyping module is designed for data capture on an individual scale. Key infrastructure elements include updated greenhouse and growth chamber capacity, along with the installation and operational oversight of the Lemnatec Scanalyzer HTS and Scanalyzer 3D imaging systems. The Scanalyzer imaging systems will be complemented by coordination of hand-held devices for data capture on carbon/ water flux, photosynthetic capacity, leaf area and soil parameters. Key to success of this module is computational and modeling expertise to facilitate bridging the plant genotype to phenotype gap.

Field Phenotyping Module
A unique element that distinguishes UNL from other public and private sector institutions investing in phenotyping platforms is our stellar history of canopy level image capture and analyses. UNL’s School of Natural Resources (SNR) and its aligned Centers, including the Center for Advanced Land Management Information Technologies (CALMIT), National Drought Mitigation Center (NDMC) and High Plains Climate Center (HRRCC), collectively offer a suite of expertise that will greatly aid in addressing the CITB’s mission. The Field phenotyping module will help facilitate integration of genomic selection and genome wide association strategies being utilized by our breeding programs for trait predictions in collaboration with SNR areas of expertise.

End-use Phenotype module
Genomic selection for output traits including oil, protein or starch deposition, functionality and nutritional quality improvements require field phenotyping to ensure agronomic performance is not compromised. Infrastructure to end-use phenotype for such traits is critical to ensure the accuracy of the genotype to phenotype prediction model. To this end, the C-ITB will strive to create a network of expertise to address traits targeted for food, feed (for both farm animals and companion pets), and industrial applications.

School of Natural Resources Department of Agronomy and Horticulture Nebraska Center for Plant Science Innovation (PSI) Center for Advanced Land Management (CALMIT) Department of Biological Systems Engineering Department of Statistics Department of Computer Science and Engineering