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Research Spending & Results

Award Detail

Awardee:UNIVERSITY OF HAWAII SYSTEMS
Doing Business As Name:University of Hawaii
PD/PI:
  • Christopher D Muir
  • (808) 688-3478
  • cdmuir@hawaii.edu
Award Date:11/27/2019
Estimated Total Award Amount: $ 133,971
Funds Obligated to Date: $ 133,971
  • FY 2020=$133,971
Start Date:12/01/2019
End Date:08/31/2021
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.083
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:RII Track-4: Penetrating the Inner Lives of Leaves to Breed Water-Wise Crops Using Math, 3D Imaging, and Experiments
Federal Award ID Number:1929167
DUNS ID:965088057
Parent DUNS ID:009438664
Program:EPSCoR Research Infrastructure
Program Officer:
  • Ann Stapleton
  • (703) 292-7231
  • astaplet@nsf.gov

Awardee Location

Street:2440 Campus Road, Box 368
City:HONOLULU
State:HI
ZIP:96822-2234
County:Honolulu
Country:US
Awardee Cong. District:01

Primary Place of Performance

Organization Name:University of California, Davis
Street:One Shields Ave
City:Davis
State:CA
ZIP:95616-8780
County:Davis
Country:US
Cong. District:03

Abstract at Time of Award

There is a need to grow more food with less land and fewer inputs to meet the demands of a growing population while simultaneously protecting the environment. Leveraging traits in the wild relatives of crop species could help breed sustainable crop varieties that produce more food with fewer resources. Leaf anatomy has a major effect on photosynthesis by determining rates of carbon gain and water loss. The aim of this project is to figure out if the leaf anatomy of wild relatives can improve the water-use efficiency of crops. To achieve this goal, the PI will integrate existing mathematical representations of carbon and water movement within leaves, parameterize models with 3D images of leaves from wild tomato species, and test model predictions using customized equipment for measuring photosynthesis. The mathematical tools and data collected on wild tomatoes will improve our nation's ability to grow food sustainably. Wild relatives of crop species are an underutilized reservoir of traits that could make agriculture more sustainable. The internal anatomy of leaves influences the rate of carbon gain and water loss during photosynthesis. It is not clear how crop water-use efficiency could be improved by harnessing natural variation in leaf anatomy among crop-wild relatives. This project aims to leverage recent advances in modeling, imaging, and measuring of leaf interiors in order to discover how and why crop-wild relatives of tomato (Solanum spp.) use water more wisely than their domesticated cousins. The goals of this project are to 1) model gas exchange (H2O and CO2 fluxes) in the leaf interior to understand how anatomy affects water-use efficiency; 2) image 3D leaf interiors using microCT to accurately quantify key traits identified by modeling; and 3) measure gas exchange parameters in wild tomatoes to validate modeling. With collaborators at the University of California, Davis, these objectives will be achieved by analyzing a spatially-explicit model of CO2 and water transport within the leaf, parameterizing the model using 3D images of wild tomato leaf interiors, and testing model predictions using a custom gas exchange system for artificial gas mixtures. This work will reveal both the opportunities and potential challenges of improving crop sustainability by introducing leaf anatomical variation from wild relatives. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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