Projects

Projects

The Diverse Rotations Improve Valuable Ecosystem Services (D.R.I.V.E.S.) Project networks long-term experiments that have crop rotation treatments across North America. Long-term data across a broad range of growing conditions is critical to assessing the role of crop diversity under erratic conditions (droughts) or on slow-moving variables (soil characteristics). Using multiple metrics, like productivity, economic performance, or nutrient composition, can reveal the benefits and tradeoffs of more diverse cropping systems.

South Eastern Educational Database – Farms on College Campuses (SEED-F)

Frieda’s research is focused on agroecology education at the tertiary level. She is building a database of educational farms on college campuses across the Southeastern United States. She is examining the impact of educational farms by creating categorical analyses of their programs. Future research includes utilizing survey, student reflections, and observational data to examine the specific impact of the NC State Agroecology Education Farm has on undergraduate students.

*This image was created using Artificial Intelligance

Acclima Soil Sensor Project in collaboration with the Precision Sustainable Agriculture Initiative

This project’s purpose is to develop a teaching tool based on area-specific and real-time data that can be used to teach students concepts and processes of water movement through a soil profile. The information recorded by the sensors provided by PSA is Water Content (Percentage), Soil Temperature (Celsius), Permittivity (learn more here), Bulk Electrical Conductivity, and Pore Water EC. We invite those interested in utilizing our teaching tool to reach out to our lab coordinator.

Selected Works

  1. Bybee-Finley, K. A., Muller, K., White, K. E., Bowles, T. M., Cavigelli, M. A., Han, E., Schomberg, H. H., Snapp, S., & Viens, F. (2024). Deriving general principles of agroecosystem multifunctionality with the Diverse Rotations Improve Valuable Ecosystem Services (DRIVES) network. Agronomy Journal, 116, 2934–2951. https://doi.org/10.1002/agj2.21697
  2. Bybee-Finley, K. A., Muller, K. E., Schomberg, H. H., Cavigelli, M., White, K. E., Han, E., Snapp, S. S., Viens, F., & Bowles, T. M. (2023). Rotation-Level Yield Is Greater with Increased Rotational Complexity Under Poor Growing Conditions in a Network of Long-Term Cropping Systems Experiments [Abstract]. ASA, CSSA, SSSA International Annual Meeting, St. Louis, MO. https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/152561
  3. Menalled, U.D., Ann Bybee-Finley, K., Smith, R.G. et al. (2024). Legacy effects of crop diversity on weed-crop competition in maize production. npj Sustain. Agric. 2, 28. https://doi-org.prox.lib.ncsu.edu/10.1038/s44264-024-00036-y
  4. Boniface, Helen S., Steven B. Mirsky, Matthew R. Ryan, Richard G. Smith, Victoria J. Ackroyd, K. Ann Bybee-Finley, Heather M. Darby et al. (2024). “Environmental conditions outweigh seeding rates for cover crop mixture performance across the Northeast US.” Field Crops Research 318: 109564. https://doi.org/10.1016/j.fcr.2024.109564
  5. Snapp, S., Bezner-Kerr, R., Bybee-Finley, K.A., Chikowo, R., Dakishoni, L., Grabowski, P., Lupafya, E., Mhango, W., Morrone, V., Shumba, L., Kanyama-Phiri, G. (2023). Participatory action research generates knowledge for Sustainable Development Goals. Front Ecol Environ ; 21(7): 341–349, doi:10.1002/fee.2591
  6. Bybee-Finley, K. A., Cordeau, S., Yvoz, S., Mirsky, S., Ryan, M. (2021). Finding the right mix: A framework for selecting seeding rates for cover crop mixtures. Ecological Applications. https://doi.org/10.1002/eap.2484
  7. Bybee-Finley, K. A., & Ryan, M. R. (2018). Advancing Intercropping Research and Practices in Industrialized Agricultural Landscapes. Agriculture, 8(6), 80. https://doi.org/10.3390/agriculture8060080

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