USDA NIFA AFRI Foundational Knowledge of Agricultural Production Systems - A1102 (SFS)
Date: June 17, 2021
Time: All Day
Contact: Vanity Campbell, firstname.lastname@example.org
Sponsor: Contracts and Grants
Funding Opportunity Number: USDA-NIFA-AFRI-007692
Funding Organization's Deadline: June 17, 2021
Discipline/Subject Area: Agricultural Production Systems
ANR Priority Area(s): SFS
Funding Available($): 750,000
Description: The Foundational Knowledge of Agricultural Production Systems program supports plant research to advance our knowledge for the wide range of agricultural production systems found across the rural-urban continuum, from conventional open-fields to protected built environments. Research will address critical or process-limiting dynamics that occur among and within the various management components of a production system using experimental manipulations of system components, technological interventions, system analyses, modeling, or agro-ecological approaches. Results are expected to lead to the development of innovative sustainable solutions to challenges limiting or threatening the productivity, profitability, and good stewardship of natural resources and human capital.
Applications must address one or more of the following:
• Investigate how multiple management components of agricultural production systems can be integrated to enhance soil-crop-atmospheric processes or resilience to various biotic and abiotic stressors and improve product quality and/or productivity;
• Determine how production systems can alter the structure of microbial communities associated with plants, soils, or other growing media; the ways alterations affect functions such as plant nutrient uptake/utilization efficiency; and resilience to weeds, insects, diseases, weather extremes, and other stressors that influence productivity and/or product quality;
• Investigate how changes to cropping systems, including diversification or intensification, affect crop performance, soil health, and other outcomes beneficial to system resilience; or
• Conduct syntheses and meta-analyses of existing data or develop new or extend existing models to derive general principles about the function, properties, and performance of agricultural production systems.