Tuesday, April 28, 2026

Manure Scoop: LSNT on Manured Fields, What Are We Really Measuring?

 

The Late Spring Nitrate Test (LSNT) has long been a useful in-season check on nitrogen availability, but manured fields have always sat a little differently in the interpretation guide. The original recommendation still says it plainly: soils receiving recent manure applications, or corn following alfalfa, don’t behave like “typical” soils and will get some slower nitrogen release. They tend to mineralize more plant-available nitrogen after sampling than a “typical” soil, meaning the standard LSNT critical values may not tell the full story. In practice, that means we’ve always known manured systems don’t fit neatly into a single threshold but we also want to try to use the LSNT as a tool to help us manage better.

The newer LSNT decision support work reinforces something many of us have seen in the field: even when we try to quantify nitrogen availability, there is still a lot of variability. That raises an important question, should we be thinking differently about manured fields altogether, rather than just adjusting the threshold or are the principles still the same? And the good news is, the principles are at least similar, but the bad news is we have to think a little bit deeper about the characteristics of the manure we are using, when we applied, and how the growing season has been in terms of mineralization potential thus far to improve interpretation.

One useful way to ground that question is to step back and look at soil nitrogen dynamics in-season. The FACTS soil mineralization tool is a helpful reference here, especially the “how are we comparing to average” thus far through the growing season comparison. If the season is tracking below average for mineralization, manure-derived organic nitrogen is likely also lagging behind expectations, meaning more of that nitrogen may show up later in the growing season and we won’t see as much as usual on our late spring nitrate test. If mineralization is trending above average, the opposite is true, we should expect manure nitrogen to be contributing more aggressively than a “typical year” assumption would suggest.

But not all manure behaves the same, and that is where interpretation gets more interesting. The ratio of ammonium-N to total-N is a simple but powerful indicator of how quickly a manure behaves like a fertilizer versus a slow-release organic source. I gave a summary of this in the Talkin’ Crap episode, Available or Not: The Nitrogen Guessing Game in Manure Planning, and you can see our summary of average Midwestern manure properties on this handout. In summary, high ammonium manures, such as liquid swine manure, tend to act much more like commercial nitrogen fertilizer at application, while more organic-heavy manures shift their contribution toward delayed mineralization.

That distinction shows up in the research. Woli et al. (2011), working with John Sawyer, evaluated liquid swine manure as a nitrogen source for corn and found LSNT critical values near 25 ppm, but also documented cases where yield response did not occur even at lower LSNT readings. One explanation is that manure history and mineralization dynamics were still supplying nitrogen beyond what the soil nitrate snapshot captured at sampling time. Is this a manure challenge? Maybe, but when you look at the latest data from the Iowa Nitrogen Initiative, we see fields that exhibit the same sort of response, that despite being below the critical threshold they don’t need as much N as an average field. Perhaps it is more common in manured fields because we are building soil health and quicker nitrogen cycling, but there are other ways to get there.

 

A similar pattern emerged in work by Ruiz Diaz, Sawyer, and Mallarino with poultry litter. They showed LSNT results were strongly tied to the ammonium fraction applied with the litter, while the organic nitrogen contribution was less immediately reflected in the test (probably because mineralization is relatively low until that May time period and starts to pick up rapidly around the time, we’d be taking the late spring nitrate sample). However, they also noted that this organic fraction does not disappear, it continues to mineralize and contribute nitrogen later in the season, which aligns with what we’ve seen in subsequent field work here in central Iowa.

Taken together, these results suggest that LSNT on manured fields is not just a question of “what is the number,” but “what nitrogen cycle are we sampling?” A manured field is often a moving target: part fertilizer response, part soil mineralization, and part delayed organic nitrogen release. That is exactly why variability in LSNT results is higher in these systems and why a single cutoff value will always feel a bit blunt, and a reason the newest tool focuses on the probability to a yield response.

So where does that leave us? LSNT is still valuable, but in manured systems it should be interpreted as one snapshot within a broader nitrogen story, not the full story itself. Understanding manure type (especially NH₄-N to total N ratio), current soil mineralization conditions, and field history becomes just as important as the number in how you tailor your nitrogen management decision. The LSNT tells us what nitrogen looks like today. Manure systems require us to also think about what nitrogen is still on its way.

Thursday, March 26, 2026

What do Iowa Nitrogen Innovative on-farm trials say about optimal N rate and N per bushel?

 Every year, we ask the same question: “How much nitrogen do I really need to grow this corn crop?” And despite improving technology, we still often give the same, honest answer: “It depends.”

That’s why the Iowa Nitrogen Initiative (INI) is running hundreds of on-farm trials. By testing in real fields under real conditions, we can get closer to answering the “how much N” question in a way that fits Iowa corn growers. I dug into nearly 500 of those trials from 2023 and 2024 to see what they tell us about yields at the economic optimum N rate (EONR), how much N it takes to get there, and how efficient that N is when measured on a per-bushel basis.

I’m going to make this article a little different, I’m going to highlight what I found first, and if you want to see the statistics behind it and the data processing, I did to get there read to the end.

Why Does This Matter for Iowa Farmers?

·         Rotation helps because it boosts yield, and higher yields mean better N efficiency. On average, when corn followed soybeans, yields were about 19 bu/ac higher (239 vs. 220 bu/ac) than when corn followed corn.

·         Higher yield potential means more total N, but less N per bushel. When I looked at the economic optimum N rate across trials, a pattern popped out: for every additional bushel of yield, it took about 0.45 lb more N per acre.

·         Regional and year effects are real. Your neighbor’s optimum N rate might not match yours, because soils and weather shape the response.

This is why INI trials matter: they help us put real numbers to what we’ve all seen in the field. It’s not a perfect crystal ball (the models only explained about 25% of the variation), but it’s a step closer to giving farmers confidence in their N plans, and showing that chasing higher yield potential, when realistic, can also improve nitrogen efficiency, and more importantly, that there is work to do to understand what is driving the other 75% of the variation in need.

Alright, that’s the 30,000-foot view. But if you’re like me, you want to peek under the hood and see how we got those numbers. Here’s how the data was pulled together and what the statistics say.

Data & Scope

I analyzed 493 on-farm nitrogen (N) response trials from the Iowa Nitrogen Initiative (downloaded from N-FACT). Trials with alfalfa as the previous crop (n=1) was changed to an unknown crop, to alleviate the non-replication struggle I was having, and one 2024 Western Region outlier (99 bu/ac yield at 226 lb N/ac; 2.8 lb N/bu) was excluded. Four factors were available to explain variation: region, year, previous crop, and yield at the economic optimum N rate (EONR).

That leaves 499 trials left in the dataset that we can use to try to understand the yield, optimum N rate, and the N-use factor. In the currently existing dataset, there are four variables that we can use to understand these factors; they are MLR, year, the previous crop, and the yield of corn at optimum N rate.

Yield at Optimum N Rate:

We can write a statistical model of:

Statistical model for yield showing factors of year, region in Iowa, the year by region interaction, and the previous crop.

Using this statistical model, we can describe 22% of the variation in the corn yield at Optimum N. The Region, region x year interaction, and previous crop were all significant (p = 0.0001, 0.0005, & p < 0.0001) respectively.

The previous crop indicated that corn following soybean averaged 239 ± 4 bu/acre, while corn following corn averaged 220 ± 5 bu/acre. That 19 bu/ac bump isn’t just nice, it’s the main reason corn-after-soybean looks more efficient on a per-bushel basis. It’s yield driving efficiency.

The year x region interaction was driven by a large yield increase in 2024 relative to 2023 in the “Illinois and Iowa Deep Loess and Drift” (27 bu/acre) and “Central Iowa and Minnesota Till Prairies” (14 bu/ac) while other landform regions didn’t change significantly with time, though the “Northern Mississippi Valley Loess Hills” declined by 26 bu/acre in ’24 relative to ’23, the low sample size kept it from being statistically significant.

Summary of yield by year in each region in Iowa. Weather is a driver of yield, with only the Iowa and Missouri Heavy Till Plain having consistently lower yield that the other locations.
Figure 1. Average corn yield by region and year. 2023 yields not sharing the same lower-case letter are statistically different α = 0.05, 2024 yields not sharing the same upper-case letter are statistically different, and yields within the same landform region not sharing the same number are statistically different.

Optimum N rates:

Statistical model for the optimum N rate showing factors of year, region in Iowa, the year by region interaction, the previous crop, and a covariate of yield at the optimum N rate.

This analysis describes 26% of the variation in optimum N rate. The previous crop term was not significant so it was removed from the analysis. The yield at economic optimum and the region x yea interaction were all significant or near significant (p < 0.0001, p = 0.396) respectively.

In this analysis, the economic N rate was a function of the expected yield at economic N. For every bushel increase in yield at optimum N, the estimated increase in the economic optimum N rate was 0.45 ± 0.06 lb N/acre. In this analysis there was no difference between the economic optimum N rate for corn following corn and corn following soybean, though trial did indicate that corn was planted approximately 12 days earlier on average following soybean than if it followed corn. That means if you’re pushing 250-bushel yields, don’t be surprised when the EONR is a good 20–25 lb higher than a 200-bushel field, yield does matter.

Again, their was significant interaction between year x region was primarily driven by the large increase in Economic Optimal N Rate in the “Eastern Iowa and Minnesota Till Prairies” (27 lb N/acre) and no other regions seeing a statistically significant difference, though the “Iowa and Minnesota Loess Hills, Iowa and Missouri Deep Loess Hills” and the “Iowa and Missouri Heavy Till Plan” both saw large optimum nitrogen need in ’24 relative to ’23 (16 & 32 lb N/acre respectively).

The average economic optimum N rate by year showing that the econmic optimum was similar in most years and locations by slightly higher in the Eather Iowa and Minnesota Till Prairies and the Iowa and Missouri Heavy Till Plain in 2024.

Figure 2. Average economic optimum N rate by region and year. 2023 yields not sharing the same lower-case letter are statistically different α = 0.05, 2024 yields not sharing the same upper-case letter are statistically different, and yields within the same landform region not sharing the same number are statistically different.

N Use Factor:

Statistical model for pounds of N per bushel showing factors of year, region, the year by region interaction, the previous crop, and the yield at optimum N rate.

Using this statistical model, we can describe 24% of the variation in the Nitrogen Use Factor at Optimum N. In this model most terms were significant or near significant, including year (p = 0.1044), previous crop (p = 0.0599), year x region (p = 0.0394), and yield at economic optimum nitrogen rate (p < 0.0001).

One of the key findings of this analysis is that the N use factor decreases with increasing yield, by about 0.0021 ± 0.0002 lb N/bu. While this may not sound like much, it suggests a decrease of about 0.1 lb N/bu in moving from 175 bu/acre corn to 225 bu/acre corn. In other words, the higher your yield potential, the less N each bushel needs to get made. That’s the story behind the push for better genetics, drainage, and management; it’s not just more yield, it’s better efficiency.

We also saw there was a significant difference in lb N/bu in corn following corn (0.97±0.03 lb N/bu) as compared to corn following soybean (0.93 ±0.02 lb N/bu). Earlier we reported that there was a 19 bu/acre yield advantage that corn following soybean had relative to corn following corn, which corresponds to this difference in nitrogen use efficiency.

A graph showing the pounds N per bushel at the economic optimum N rate by year and region in Iowa.
Figure 3. Average nitrogen per bushel by region and year. 2023 yields not sharing the same lower-case letter are statistically different α = 0.05, 2024 yields not sharing the same upper-case letter are statistically different, and yields within the same landform region not sharing the same number are statistically different.

Conclusions

The Iowa Nitrogen Initiative is helping us move beyond rules of thumb and into real-world, Iowa-based numbers. We’re learning that yield is the biggest driver; more yield means more N total, but less N per bushel. Rotation helps mainly by boosting yield. And soil and weather patterns mean your field’s story may not match your neighbor’s.

The other lesson? We can only explain about a quarter of the variation in optimum N. That means three-quarters is still a mystery; soil differences, hybrid genetics, weather patterns, timing, and maybe things we don’t even have on our radar yet. That’s why more trials, more farmers, and more data are the only way we’ll keep sharpening this picture.

Monday, February 23, 2026

Weather Variability and Storage Capacity: Are You Designed for the Year You Actually Get?

 

We don’t farm averages. We farm variability. Livestock produce manure every day, mostly predictably. Weather adds water whenever it wants. Storage has to handle both. If we want fall application into cooling soils to remain an agronomic decision, not a reaction to storage pressure, we need to run the math now, not in September.

In our Spring Storage Planning article, we talked about the concept. Here, I want to punch some numbers and run the math.

Start with manure production.

How many head do you have? How many gallons per head per day are you generating? How many days until November 1?

Swine Finishing

For finishing swine in a deep pit, this is relatively predictable. Multiply head count by gallons per head per day and by days to your desired fall window, then divide by the surface area of your pit. Finishing pigs in a wean-finish barn, relatively tight in terms of water use, are often around 1 gallon per pig per day (your mileage may vary — I see barns from 0.85 up to 1.4 gallons per head per day). As I write this on February 23, there are 251 days until November 1. That’s roughly 300,000 gallons of manure.  doesn’t feel like much until you convert it to inches of pit depth. Have a 50x 190 barn holding 1200 head, that’s 51 inches of manure. Do you have that in your barn?

Liquid Beef

For liquid beef deep pit systems, it’s the same kind of math, just change the manure production number. Deep pit beef barn, put your manure production at around 6.5 gallons per head per day. That’s about 7.3 feet of storage space needed. But now we introduce uncertainty.

Are roof downspouts tied into the system? Over the next 251 days we average about 30 inches of rain. If about 80% of this turns into runoff and you are catching water in the pit from half your downspouts, that’s another foot of rainwater added. Do you have 8 feet of usable space so you can make it to your fall application window?

Liquid Dairy

For dairy, you add layers. Manure volume. Parlor wash water. Loafing lot runoff. Silage bunker runoff and leachate. What is the shape of the manure storage?

Let’s start around 22 gallons per head per day for manure and generated wash water. Looking at the ISU dairy — no loafing area outside, so I’m in luck. Silage bunker runoff is directed through vegetative filter strips. Yes, I chose this farm to make it easier.

With around 400 cows, I need roughly 18 feet of slurry storage space in our tank to get to November, plus whatever rainfall accumulates on the surface, maybe close to zero in a dry year, maybe several inches or more in a wet one.

But what if we were also handling runoff from the silage bunker area? That’s around 40,000 square feet. If roughly 80% of rainfall becomes runoff, I’d need close to another 5 feet of storage space in our manure storage.

If your projected level in September or October approaches your limit, the fall window is already compromised. Planning now can save some headaches latter.

Is Spring a Strategic Drawdown?

If the math is tight, what is the plan? Is our best approach to move some manure this spring to protect our fall window? If you do get full before November, what will you do? Do you have acres available? Are you confident harvest will start early? Will cover crops be established in time to receive early fall manure and protect water quality? This is not an argument that everyone should switch to spring application. It is an argument that some operations may need to use spring strategically to protect fall.

Fall application can work very well, if we actually reach cooling soil temperatures. That only happens when storage capacity gives us the ability to wait. Run the numbers. Then decide intentionally.

Monday, February 2, 2026

Why Booster Pump Placement Matters Near Streams

Umbilical manure application has become a go-to option for moving large volumes of manure efficiently while keeping heavy tanks out of the field. But with long hose runs, connections, and high pressures, failures can and do happen. One of the more concerning scenarios is a hose rupture or leak near a stream or drainageway.

Where we place the booster pump relative to that stream can make a big difference in how much manure is released if a failure occurs, and whether that release becomes an environmental incident or not. Hopefully you’ve heard the best management practice is to place the booster pump across the stream so the pressure is lower in the hose as it crosses the stream, but why?

The Scenario

Imagine an umbilical system crossing a small stream. Somewhere near the stream crossing, the hose develops a hole. This could be from abrasion, a weak spot, damage during setup, or even normal wear. The key question is:

·         Is that section of hose under high pressure or low pressure when the failure occurs?

That depends entirely on where the booster pump is located.

Two Booster Pump Options

Option 1: Booster pump on the near side of the stream

·         Pump → high-pressure hose → stream crossing → toolbar

Option 2: Booster pump on the far side of the stream

·         Pump → high-pressure hose → toolbar

·         Stream crossing is on the suction / low-pressure side of the booster

From a manure movement perspective, both setups can work. From a spill risk perspective, they are very different in how quickly we are going to leak manure.

The photo shoes a umbilical hose used for dragline manure application leaking and the crew getting ready to put in a repair.
Figure 1. Demonstration of how to fix a leak in an umbilical hose at the Manure Expo.

 

Why Pressure Matters When a Hose Leaks

The flow rate through a hole is directly related to pressure. For a small hole or tear, the leak rate is approximately:

Equation for flow rate from a leak in a pipe.

Where:

QL is the leak flow rate

Cd is the discharge coefficient (typically 0.6 to 0.7 for sharp-edged holes, which we will assume (thought it does mean there is enough pressure to keep the hose rigid, which may not actually be the case

AL is the area of the leak (the cross sectional area of the hole)

Delta p is the pressure difference inside the pipe versus outside, which I’m being lazy and assuming doesn’t chance from the pre-leak conditions compared to when the leak starts (it does change and the pressure will go done, but how much depends on the relative resistances and gets a bit more math heavy then we need).

Rho is the density of the fluid

That square-root relationship is important. If pressure increases by a factor of four, the leak rate roughly doubles, and that is the basis of the recommendation. By controlling the location of the booster pump, we are controlling the pressure should a leak occur in the worst possible location, the hose in the stream.

A Simple Pressure Comparison

Let’s put some reasonable numbers to this.

Typical umbilical operating pressure downstream of a booster pump: 120 psi

Pressure upstream (suction side) of a booster pump: 30 psi

Let’s assume a 1” diameter hole, that manure has the same density of water, and we’ll set Cd = 0.65.

Option 1

Estimated leakage rate from the umbilical hose leak for placement 1


Option 2

Estimated leakage rate from the umbilical hose if it springs a leak during placement 2.


 

All that to say, by quadrupling the pressure (120 psi vs 30 psi) we doubled the rate of leakage (212 gpm vs 106 gpm).

 A low-pressure leak may be slow, noticeable, and more easily stopped before reaching water

Why the Stream Crossing Should Be Low Pressure

Placing the booster pump across the stream ensures that the hose segment near the waterway is operating at the lowest pressure in the system. That does three important things:

·         Reduces leak flow rate if damage occurs

·         Buys response time to shut down the system

·         Limits environmental consequences if manure reaches the stream

This is a classic example of risk-based design: assuming failure can happen and designing the system so that when it does, the consequences are minimized.

Positioning booster pumps so that environmentally sensitive areas, streams, ditches, intakes, and tile outlets, are exposed to as low-pressure hose as practically possible.

Practical Takeaways for Applicators

·         Always identify stream crossings during hose layout

·         Place booster pumps after the stream crossing, not before to minimize risk should a break occur.

 One last thought, is there a tank equivalent to this? Yes. If loading near the barn or in the field, look for the location that offers the least risk should a tank overflow occur. In particular this means looking for surface inlets around the loading area and trying to move as far from them as possible.

We can’t prevent every spill, but we can manage to minimize their occurrence and any negative environmental impact they may have.

Monday, December 22, 2025

The Alchemists Dream: Turning Manure to Gold through Separation and Nutrient Recovery

 Nutrient separation, solid–liquid separation, and manure drying systems are getting more attention across livestock systems, but when do they actually make economic sense? These technologies are often discussed as solutions to manure management challenges. Sometimes they are. Other times, they’re expensive ways to solve problems that don’t really exist, or problems that would be cheaper to address another way.

This article is not meant to be comprehensive, nor is it intended to answer every question about separation and drying systems. Instead, the goal is to provide a realistic look at what actually drives value in these systems by walking through a few example scenarios and comparing manure management before and after treatment. If you’ve wondered whether these systems are a smart investment, or a shiny distraction, this one’s for you.

Why Are These Systems Being Considered in the First Place?

At their core, manure treatment systems are an attempt to solve a logistics problem, not a nutrient problem.

Most manure management challenges come down to some combination of:

·         Too much water relative to nutrients

·         Nutrients concentrated in the wrong place

·         Limited land base near the livestock facility

·         Imbalances between nitrogen and phosphorus needs

·         Increasing hauling distances and application costs

·         Tight application windows and labor constraints

Separation and drying systems don’t create nutrients, and they don’t make regulations go away. What they do is change where nutrients go, how concentrated they are, and how expensive they are to move. Interest in these systems has grown as farms have gotten larger, hauling distances have increased, and nutrient management has become more constrained. In some cases, water reuse or off-farm nutrient export becomes the primary driver rather than fertilizer value alone.

What Do Separation and Drying Systems Actually Do?

Rather than focusing on equipment types, it’s more useful to think about these systems based on outcomes.

Broadly speaking:

·         Solid–liquid separation shifts nutrients unevenly between a liquid fraction and a solid fraction.

·         Nutrient separation systems intentionally concentrate certain nutrients (often phosphorus) into a smaller volume.

·         Drying systems reduce mass and volume by removing water, dramatically changing transport economics.

What matters isn’t the technology, it’s what changes after treatment:

 

·         Total volume that must be hauled

·         Nutrient concentration of each fraction

·         Where each fraction can be applied

·         Application method and timing flexibility

·         Labor, energy, and management requirements

Nearly every system creates tradeoffs. Liquids may become easier to apply nearby, while solids require new handling, storage, or markets. The value only appears if those tradeoffs align with real constraints on the farm.

How Do We Evaluate Whether a System Pays?

Before talking about treatment, we need a baseline.

Step 1: Understand the Untreated Manure System

For any farm, the starting point is:

·         Annual manure volume

·         Typical nutrient content (N, P, K)

·         Average hauling distance

·         Application cost per gallon or ton

·         Effective nutrient value captured by the crop

This baseline represents the true cost and value of manure without additional technology. If untreated manure is already inexpensive to apply to nearby acres with good nutrient utilization, there may be very little economic upside to separation.

Step 2: Compare the Post-Treatment System

After treatment, we look at:

·         New volumes and hauling distances

·         Changes in nutrient distribution

·         New application or storage costs

·         Operating costs of the system itself

·         Any new revenue or avoided cost

The key question isn’t “does it reduce volume,” it’s whether the reduction saves enough money, or creates enough flexibility, to justify the added cost and complexity.

Case Studies: Where the Economics Come From (or Don’t)

The following examples are simplified and illustrative. Assumptions are intentionally transparent, and numbers can be refined. The goal is to highlight drivers, not produce a universal answer.

Case Study 1: Dairy with a Centrifuge Solid–Liquid Separation System

Baseline system:

A 1000-head dairy applies liquid manure to nearby cropland using conventional dragline systems. Hauling distances are moderate, but the farm isn’t making use of phosphorus at field levels have built up.

This farm produces 6.5 million gallons per year and at land application time we’ll have around 81,000 lb N and 70,000 lb P2O5. Manure application will cost about $0.013 per gallon for an annual expense of $86,000 a year. Based on the problem, only the nitrogen is providing fertilizer value, which at $0.54 a pound gives $43,000 in value. This system would be a net negative of around $42,500 per year for the farm.

After separation:

A centrifuge system separates manure into a liquid fraction and a solid fraction. The solid product is phosphorus rich, while nitrogen remains largely in the liquid. Liquids are applied to nearby acres similar to before, while solids are hauled farther to access additional land or sold/transferred off-farm. The total gallons hauled locally decline, but solids require new storage and handling facilities.

This farm still produces 6.5 million gallons per year but because of separation we end up with around 5.4 million gallons per year to land apply and at land application time we’ll have around 77,000 lb N and 24,000 lb P2O5. Manure application will cost about $0.013 per gallon for an annual expense of $73,000 a year. Based on the problem, only the nitrogen is providing fertilizer value, which at $0.54 a pound gives $41,000 in value. However, now we also have a solid manure product that can be hauled to fields where the P is needed. We’d generated about 4600 tons of solid manure that cost about $6.20 a ton to apply for a cost of $29,000 per year, but given its N and P it supplies fertilizer value of $23,000.  This system would be a net negative of around $38,000 for the farm, or save around $5000 per year.

Case Study 2: Dairy with a Livestock Water Recycling System

Baseline system:

A 1000-head dairy just like in the first farm, so we don’t’ need to redo any numbers.

After treatment:

In this case, let’s assume the solid-liquid separation works just like it did before, but the liquid stream is now going to get processed through a membrane system that takes the nitrogen and concentrates it up to 100 lb N/1000 gallons and the remaining liquid water is of discharge quality.

This farm still produces 6.5 million gallons per year but because of separation we end up with around 5.4 million gallons that get run through the membrane system. After treatment in the membrane, we are down to around 1.6 million gallons to land apply and at land application time we’ll have around 157,000 lb N (it is higher because I assumed I’d do something to reduce N loss during storage and it will be 100% available) and 24,000 lb P2O5. Manure application will cost about $0.026 per gallon for an annual expense of $41,000 a year. Based on the problem, only the nitrogen is providing fertilizer value, which at $0.54 a pound gives $84,000 in value. However, now we also have a solid manure product that can be hauled to fields where the P is needed. We’d generated about 4600 tons of solid manure that cost about $6.20 a ton to apply for a cost of $29,000 per year, but given its N and P it supplies fertilizer value of $23,000.  This system would be a net positive of around $40,000 for the farm, or save around $80000 per year. Of course, this would need to pay capital expenses on the equipment, labor and operation expenses to run it, and handle doing something to reduce losses of N from the stored fertilizer product.

Case Study 3: Dairy Farm with a Sedron Technologies Manure Drying System

Baseline system:

A 1000-head dairy just like in the first farm, so we don’t’ need to redo any numbers.

After treatment:

This is a drying system, so rather than wet solids, they’ll be dry. Also, they are doing a different treatment system that should get the nitrogen fraction up to around 7% N content. I’m not going to cover the details this time, hopefully in the future.

This farm still produces 6.5 million gallons that get run through the drying system. After the drying system we’ll be down to about 0.25 million gallons of liquid N fertilizer to land apply and at land application time we’ll have around 157,000 lb N (it is higher because I assumed I’d do something to reduce N loss during storage and it will be 100% available). Liquid fertilizer application will cost about $0.041 per gallon for an annual expense of $11,000 a year. The nitrogen is providing fertilizer value, which at $0.54 a pound gives $84,000 in value. We also have our dried fertilizer product. We’d generated about 2300 tons of solid manure that cost about $7.70 a ton to apply for a cost of $18,000 per year, but given its N and P it supplies fertilizer value of $29,000.  This system would be a net positive of around $80,000 for the farm, or save around $120,000 in manure handling expenses and created value.

The Big Picture

These examples are far from complete, but they do illustrate why we continue to look towards innovative manure treatment systems. Because the dream of turning manure to gold is out there, and this analysis illustrates if we can make the systems cost effective and work there is value to be had. However, doing so will make sure we bring system costs down towards what we are gaining in fertilizer value and potential land application expenses, because while $120,000 sounds like a lot of money if I want this technology to pay back, it means I’ll need to spend less than $1 million dollars on it in start up expenses.

Tuesday, November 25, 2025

Picking the Right Swath Width: The Overlooked Key to Uniform Dry Manure Application

Load cells, GPS, and rate controllers have changed the game in a good way for solid manure application, there’s still one piece of the puzzle they don’t solve. They don’t tell you how wide your spread pattern 

We treat swath width as if it’s a fixed property of the spreader. But it isn’t. It’s a property of the material, the day, the setup, and the physics of throwing irregular particles into a crosswind. That’s why the single simplest thing you can do to improve manure uniformity, is to pick the right width for the material you’re spreading right now, not what you spread last year.

The Pattern Isn’t a Rectangle, It’s a Curve

When you watch a spinner or beater from behind, it looks like it’s flinging material in a straight band. But if you take a dozen catch pans and run a pattern test, the truth appears fast:

Every dry manure pattern is a curve; generally heavy in the center, tapering at the edges.

Sometimes that curve is broad and smooth. Other times it looks like a mountain peak with almost no “shoulders” at all. Cattle bedded pack tends to be clumpy. Turkey litter might be fluffy in one load and sticky the next. Layer manure can be powdery or soupy. And because the pattern is a curve, the effective swath width; the width where two adjacent passes overlap enough to even things out, is always narrower than how far the spreader can physically throw material.

 

An example of a perfect spread pattern as compared to a more typical spread pattern

Figure 1. Example spread patterns, both at the same application rate, but one (in blue) with a perfect, uniform spread pattern and a second (in orange) with a more common spread pattern.

A machine that throws 45 feet often has an effective width of 25–30 feet, but it also depends on the material. That’s why a single “standard width” is fiction.

Why the Same Spreader Behaves Differently Every Day

Think about what determines where a manure particle lands:

its size

its density

its shape

its moisture content

the velocity and angle it leaves the spinner or beater

the wind it encounters

We pretend manure is consistent because that’s convenient. The reality is that even within one pile, all those variables shift. Move to a new farm, where they manage bedding and ventilation differently, and all bets are off. Swath width is not only a machine setting; it’s a material property that changes over time.

You Can’t Outsmart a Bad Width with Technology

GPS lines will keep the tractor straight. Load cells will keep the average tons per acre accurate. Rate controllers will put it together keep the gate or chain feeding consistent amounts. All good things. But none of them can fix a spread pattern that is inherently too narrow or too uneven for the width you’re driving.

Technology can keep the average rate correct. Only the correct swath width keeps the distribution correct. It’s the difference between “I applied 4 tons per acre” and “I applied somewhere between 2 and 6 tons per acre in alternating stripes.” If you’ve ever flown a drone over a dry-manure field and seen stripes, swath width, i.e., application uniformity is a potential culprit.

The Real Question: How Do You Pick the Right Width?

Pattern testing is still the gold standard, followed by fancy math to make it as good as it can be, but here’s the part we often don’t say. You don’t need perfection; it’s manure. What you do need is a sense of the shape and to understand how you are using that manure as part of your fertility program. It’s providing all your nitrogen; you better be pretty uniform. Providing about 2/3 of your nitrogen you are probably hoping everything gets covered, but it doesn’t need to be perfect. Spreading for P and K, uniform enough every plant gets some of the goodness, but trusting your soil to buffer the rest of the nutrient supply.

A simple line of tarps (or catch pans gives you the curve). Once you see the curve, pick a width where the wings from one pass overlap strongly with the wings from the next. You’re trying to turn two curves into a flat line. That’s the entire game.

Looking back at our example in figure 1, if we are using the blue spreader our effective width is easy, 45 feet. If we move over 45 feet every pass, we’ll uniformly cover the field. But what if we are that orange spreader, how far do we move over? In figure 2, I provide the uniformity of the application with different effective swaths. As path width gets smaller, uniformity bets better, but in truth at a path width around 30 to 35 feet the application gets relatively uniform.

A demonstration of how uniformity improves when the effective spread width decreases, but shows that at around 30 to 35 feet spread width application gets more uniform.

Figure 2. Estimated application uniformity when using different effective swath widths. Closer swath widths would require lower application rates with each pass. Despite this we assumed uniformity would be similar width even with lower application rates.

Why You Shouldn’t Use the Same Width for Poultry, Cattle, Compost, or Anything Else

Each material has its own physics:

Poultry manure tends to be finer, spreads farther but has lighter wings.

Cattle manure often spreads short and chunky, great center, weak edges.

Composted materials can throw evenly until you hit a clod.

If the spread pattern changes, the effective width changes.

The Bottom Line: Swath Width Is Your Cheapest Precision Tool

When we say manage for every plant, sometimes precision agriculture has told us to think about how to manage differently for every plant, but to a large degree the base of that still starts the same. Try to treat every inch of your field the same, then pick that precision equipment and precision fertilizer to manage to that plant’s specific needs. With manure, we aren’t that precision fertilizer, at least not yet, but I’m not sure there is anything better to provide that baseline fertility as long as we are managing it right.


Tuesday, October 28, 2025

Pigging Out: The Math Behind Blowing Out a Manure Line (AKA What Size Compressor do I Need?)

 When the last gallon of manure has left the pit, or it is getting close to time to switch fields, there’s still a little problem left behind: the line, filled with manure. Whether you’ve got a half-mile of dragline or three miles of mainline, it’s still full of manure. And if you just crack it open and walk away, you’ll quickly find out what a few thousand gallons of “leftover” looks like, and you won’t keep the gallons, and the cash register, flowing.

That’s why applicators finish by “pigging” the line. Pigging involves inserting a device, a foam ball (or bullet) in a launcher upstream of the pipeline and using air pressure to push it (and the manure ahead of it) to the outlet. It’s an efficient way to clear the hose. But behind that satisfying swoosh is a bit of serious fluid dynamics. So, let’s talk about the math behind pigging out your manure line.

The what size compressor do I need was also one of the common questions I saw on the Facebook page, “Manure Kings,” for a while, so I thought it would be fun to see what the math had to say.

How Much Manure Are We Dealing With?

Let’s start small, a 6-inch hose about a mile long. That line alone holds nearly 7,800 gallons of manure. If you move up to a 10-inch mainline stretching three miles, you’re talking about 65,000 gallons of material still sitting there after pumping stops. That’s a lot of fertilizer left to apply and properly place, so time to blow it out. But how much air and pressure does it take?

Doing the Math

There are two questions to answer: how much pressure do I need, and how much air do I need?

When you launch a pig and put air behind it, the pressure you need depends on three things:

·         Friction along the hose wall, and

·         How tight that foam ball fits (the pig seal friction)

·         The elevation change you need to push the manure

To estimate how much pressure you need, you can use the Darcy–Weisbach equation:

               

where:

𝑓 = friction factor (~0.02 for turbulent flow),

𝐿 = hose length in feet

𝐷 = hose diameter in feet

𝜌 = manure density ~63 lb/ft3

𝑣 = velocity of the manure that you want to maintain in ft/s (I’m going to aim for 5 ft/s)

Referring back to our examples, I calculate for the 6-inch line, I’d need 36 psi plus whatever the elevation head change requires, and for the 10-inch line, I’d need 65 psi plus whatever the elevation head change requires. If I have the pig moving at 5 ft/s it takes a little under 20 minutes to blow that mile of 6-inch line, but almost an hour to blow the 10-inch line.

Now, we’ll need a little extra pressure to overcome the pig’s drag, but I don’t have a great handle on estimating that. The good news is, as long as we have enough pressure, the manure will move—it’s just a question of how fast.

But how much compressor flow do I need?

Here’s where the flow rate comes in. The compressor doesn’t just need to hit that pressure; it must keep supplying air fast enough to maintain the pressure as the pig advances. If the compressor can’t keep up, the pressure drops, and the pig slows or stops if we end up with no pressure. Sure, it will start again, but we want to have a guess of how long it might take to blow out the line.

The air behind the pig is filling a growing volume of hose as the pig moves forward. The faster the pig moves, the faster the air volume expands, and the faster your compressor has to supply air.

If your 6-inch pig is moving at 5 feet per second, that’s about 60 CFM of hose volume per minute being created behind it. For the 10-inch line, that’s about 163 CFM of hose volume.

Let’s check this against a real-world example: Say I have a compressor with a rated capacity (not an endorsement, but one that had a rated value for me to use) of 185 CFM at 100 PSI. For the 10-inch line, this sounds pretty close, as I said I wanted 163 CFM, but I estimated I only needed 65 psi plus the drag of the pig and elevation change, so let’s call it 80 psi. Given those characteristics, the compressor should work and move everything a little faster than I estimated.

In other words:

·         Pressure gets the pig moving.

·         Flow rate controls how fast it moves.

·         Both determine how long the job takes

Practical Tips Before You Blow

Pigging with air can be deceptively dangerous. You’re storing a lot of energy behind that foam ball.

·         Segment long lines. Don’t try to clear three miles in one go; break it into manageable lengths with valves or disconnect points.

·         Start slow. Ramp up the air gradually while watching a pressure gauge.

·         Be safe, high pressures and air’s want to decompress rapidly make this one of the most dangerous parts of the job.