Nutra-Flo has fertilizers specific for each crop

Mar 16, 2015

Available for corn, soybean, wheat and cotton

With new technology, seed varieties and other tools being developed for precision farming and agriculture, it is slowly turning from a practice to an art form.

Farmers, like painters, must use the proper brushes, tools and paint combinations on different parts of their canvas to bring them to life.

Nutra-Flo from North Sioux City, South Dakota, introduced its RoMax Performance Series, a line of fertilizers designed for the specific crop the farmer is planting. The products are available for corn, soybean, cotton and wheat.

“Our team of expert agronomists created these platforms of N-P-K and micronutrients based on proven crop response,” said Jason Glover, Nutra-Flo Director of Product Development in a press release.

“Complex interactions between N-P-K and micronutrients ensure essential crop functions take place throughout early development, and early development leads to yield gains.”

RoMax wheat is designed to enhance the early season growth and promote root systems that can withstand drought and winter kill. It encourages tillering, improves early season growth which also allows for more grazing potential and can improve water usage and nitrogen efficiency.

RoMax wheat also comes with a guaranteed analysis based on an application rate of 4 – 10 gallons per acre:

Total Nitrogen (N) ........................................9.0%

Available Phosphate (P2 O5 ) .................... 24.0%

Soluble Potash (K2 O) ....................................3.0%

Copper (Cu) .................................................. 0.08%

Manganese (Mn) ........................................ 0.08%

Zinc (Zn) ........................................................ 0.05%

Join the discussion. Is RoMax something you might consider using for your wheat or other crops?

Video: What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

In this conversation, Ben Allen, CEO of BinSentry, explores what separates successful AI implementation from early experimentation across the protein industry. As producers begin integrating artificial intelligence into their operations, the most effective implementations share common themes: strong data foundations, practical use cases, and a focus on solving real operational challenges. Ben discusses why data quality and integration are essential for AI to deliver meaningful results, and why technology alone is not enough. Successful adoption also depends heavily on people, training, and company culture, ensuring teams understand how to use new tools and trust the insights they provide. Looking ahead, the conversation highlights the steps protein producers can take today—from improving data infrastructure to embracing digital tools—to position their operations for long-term success in an increasingly AI-driven industry.