SBIR/STTR Research Award

SBIR Phase II: Bioparticle delivery of dsRNA: A novel pest management solution for control of fall armyworm

Award identifier baca45aa694fc4e638f7bba648f85e1f79f0f28278136a64ab491ed2c2dd7172Awarding agency National Science Foundation

Award amount

$999,653

Program and phase

SBIR · Phase II

Award year

2021

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
AGROSPHERES INC.
Proposal award date
2021-09-01
Contract end date
2023-08-31
UEI
HCWEN8HQKK53
Solicitation number
Not reported
Topic code
BM

Research abstract

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). The broader impact of this Small Business Innovation Research (SBIR) Phase II project will be the development of a platform for delivering targeted, safe, and effective biological pesticides to the growing population, yet the combined effects of globalization, monoculture, and climate change have increased the threat of insect pests and phytopathogens. While synthetic pesticides offer a relatively effective means of crop protection, there are many detrimental health effects from pesticide use and several billion dollars worth of crops are lost each year due to damage caused by pests that have developed resistance to chemical pesticides. Widespread adoption of an alternative to synthetic pesticides may drastically reduce the indirect economic costs of pesticide use, estimated in one study at $10 billion in environmental and societal costs in the United States each year. This project seeks to develop the first RNAi-based biocide for control of the fall armyworm, an economically devastating invasive pest that threatens the global food supply and that is developing resistance to the main form of genetically modified corn in the Americas. Candidate double stranded ribonucleic acids will be designed and tested, and a panel of fall armyworm biocide prototypes will be analyzed with feeding assays to identify the five best performing prototypes. These five prototypes will then be tested in the greenhouse for their ability to reduce damage in corn plants caused by seeded fall armyworm infestations. The top two prototypes identified via greenhouse testing will then advance to small-plot field testing on both inoculated and naturally occurring infestations in corn. Three different application formulations will be field-tested per prototype and the results will be compared to non-treated plants and three commonly used insecticides. This work will be performed in collaboration with the University of Tennessee. Successful completion of Phase II will demonstrate the ability of this novel biocide to control fall army worms in the field, inform application approach, and identify one or two final candidates for further development and progression to large scale field testing. 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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

3 SBIR/STTR records share this UEI (2019–2021). Reported award amounts total $1,323,915. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation, Department of Agriculture

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.