Innovative Disease Detection Technologies Boost Corn Productivity Growth


Virginia Tech research tackles emerging fungal threats to U.S. corn production

March 27, 2025

ARTICLE

Enhancing agricultural productivity growth requires innovative approaches to combat crop diseases that threaten farmer livelihoods and food security. A promising research initiative at Virginia Tech exemplifies how targeted investments in agricultural technology can address these challenges while promoting sustainability.

Research led by Ph.D. student Kamal Chhetri at Virginia Tech’s Southern Piedmont Agricultural Research and Extension Center demonstrates the potential of precision technology to transform disease management in corn production. This work highlights how information-based technologies can enable producers to better manage both environmental and economic risks while improving sustainability and maintaining competitiveness.

Corn productivity growth faces significant threats from emerging diseases, with fungal pathogens like tar spot reducing yields across the United States. Rather than relying on conventional calendar-based fungicide schedules, Chhetri’s approach leverages an integrated system combining affordable solar-powered spore traps with advanced DNA sequencing technologies. This integration enables detection of potential disease outbreaks before visible symptoms appear, allowing for precisely timed interventions.

“By merging airborne pathogen data from solar-powered spore traps, weather patterns, and disease severity trends, I aim to generate machine-learning models that predict plant disease outbreaks,” explains Chhetri.

The practical value of this technology is substantial for corn producers. By optimizing fungicide timing, farmers can maintain or increase yields while potentially reducing input costs and minimizing environmental impacts. This represents an important advancement in sustainable disease management that benefits both agricultural productivity and environmental stewardship.

This research, supported by the Virginia Corn Board, represents a scalable approach to disease management that could extend beyond corn to other high-value crops, further amplifying its contribution to global agricultural productivity growth and food security.

Kamal Chhetri loads a DNA library into a nanopore sequencing platform in the Zeng Lab at Southern Piedmont Agricultural Research and Extension Center. Photo by Ayodeji Bello.

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