EPISODE · Jun 24, 2025 · 43 MIN
How to Cut Fertilizer Inputs Without Sacrificing Yield: Soil Fertility Specialist Shares New Soil Health Data
from Soil Health Labs · host Soil Health Labs
In Part 1 of our two-part conversation with Dr. Bhupinder Farmaha, we dig into the reality of shifting farmer mindsets around nutrient management. As Clemson Extension’s Soil Fertility Specialist, Bhupinder walks us through his journey from studying soil science at the University of Illinois to on-farm research in Minnesota and across South Carolina—where he’s working side-by-side with farmers to reevaluate how much (and what kind of) fertilizer is really necessary.We explore the difficulty of challenging generational practices and the importance of building trust through local, participatory research. Bhupinder shares stories of farmers like Sonny Price, who haven’t applied potash for nearly a decade—without any loss in yield—and how that’s pushing the envelope on conventional wisdom.Topics covered include:Why scaling back fertilizer use is as much cultural as it is agronomicThe importance of working on real farms, not just research stationsBuilding peer-to-peer farmer networks for changeHow soil health practices like cover crops impact profitability, pH, and nutrient cyclingLearning from farmer-led experiments and shifting extension modelsThis episode lays the groundwork for a broader conversation about nutrient efficiency, soil health, and what it takes to bring about real-world change in agricultural systems. Whether you're conventional, curious, or fully regenerative, there’s something here for everyone interested in growing smarter.Resources Mentioned in This EpisodeCotton, Country Conservation: An 8-Year Case Study in Regenerative Agriculture (Following SC Farmer Sonny Price's path of reducing input costs, increasing organic matter, and saving over $2.5 million): soilhealthlabs.com/projects/cotton-country-conservation
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How to Cut Fertilizer Inputs Without Sacrificing Yield: Soil Fertility Specialist Shares New Soil Health Data
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