Site-specific recommendations for fertilizer provide balanced solutions for farmers.
Problem
How can farmers be more precise in applying fertilizer to corn fields with cover crops?
- Knowing how much fertilizer to apply is complicated by a lack of available tools to accurately predict the correct amount of nitrogen that is needed for crops in any given year.
Findings
Researchers developed a prototype for an online decision support tool that corn growers can use to adjust nitrogen fertilizer applications. The system uses measurements that farmers and agronomists can easily collect in the field to predict the nitrogen contributed by the soil and cover crops.
- The team calibrated their tool using a dataset of 73 observations from nine cover crop experiments conducted over a three-year period.
Impact
In the last decade, the wide use of cover crops in rotations with corn has resulted in reductions in both nutrient pollution and sedimentation. This nitrogen recommendation system is an important step toward refining fertilizer applications to meet cash crop demands.
- Reducing over-application of fertilizer minimizes nitrogen pollution of waterways and helps to boost farmers' bottom lines.
Research Credit
Team
- Charles White, Denise Finney, Armen Kemanian, Jason Kaye, Kathleen Arrington, John Spargo
Participating Departments
Partner
- Ursinus College
Competitive Funding
- USDA National Institutes of Food and Agriculture (NIFA) (Agriculture and Food Research Initiative [AFRI])
- USDA NIFA (Organic Agriculture Research & Extension Initiative [OREI])
- USDA NIFA (Sustainable Agricultural Systems [SAS])
- USDA Northeast Sustainable Agriculture Research and Education (NE SARE)
- USDA Natural Resources Conservation Service (NRCS) (Conservation Innovation Grants)
- National Fish and Wildlife Foundation
Federal and State Appropriations
Emerging Discoveries
Published Research
Improving a nitrogen mineralization model for predicting unfertilized corn yield
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Arrington, K. E., Ordóñez, R. A., Rivera-Ocasio, Z., Luthard, M., Tierney, S., Spargo, J. T., Finney, D., Kaye, J., & White, C. M. (2024). Improving a nitrogen mineralization model for predicting unfertilized corn yield. Soil Science Society of America Journal, 88(3), 905-920. https://doi.org/10.1002/saj2.20665
Modeling the contributions of nitrogen mineralization to yield of corn.
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White, C. M., Finney, D. M., Kemanian, A. R., & Kaye, J. P. (2021). Modeling the contributions of nitrogen mineralization to yield of corn. Agronomy Journal, 113(1), 490-503. https://doi.org/10.1002/agj2.20474
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Address
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- Office 814-865-3136
Office for Research and Graduate Education
Address
217 Agricultural Administration BuildingUniversity Park, PA 16802-2600
- Email agresearch@psu.edu
- Office 814-865-3136