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In the spring of 2014 we initiated what was to be the first year of a three year project evaluating starter fertilizers for soybean production in the southern Great Plains. The first and second year was and is being funded by the Oklahoma Soybean Board.
Year one was a bit experimental in that with so many products on the market we needed some initial work to help focus the direction for years two and three. I also added a treatment which I knew would have significant negative impact, for extension reasons. Keep in mind two locations in a single year does not make an experiment nor provide enough information to draw a definite conclusion. It is however enough to learn some lessons from and for us to plan for our 2015 trials.
The 2014 trial consisted of 12 treatments, Figure 1 and Figure 2. In these treatments I wanted to see the impact of a standard practice, see if a specific nutrient may be more so beneficial, and evaluate a few popular products. The spring of 2014 started out dry so at one of our two locations we pre-watered. This was done by hauling water to the Lake Carl Blackwell (LCB) 1000 gallons at a time and pumping through sprinklers. The other site, Perkins, we delayed planting until we had moisture.
The two locations were also selected due to differences in soil fertility. The LCB site is has good soil fertility, with exception of phosphorus (P), and the Perkins site pH was an issue. I would have expected a benefit from adding P at both of these locations. Figure 4 shows the soil test results.
At LCB as expected some of the treatments (Thio-Sul) reduced stand, some unexpectedly reduced stand (Fe) and others had less impact on stand (APP 5.0) than expected. The growth at LCB was tremendous, the 30 in rows covered over very quickly and the majority of the treatments hit me waist high by early August (I am 6’0”). Many of the treatments showed greater growth than check. But when it comes down to it, grain pays and green does not. Statistically there were no treatments that out preformed the un-treated check, however the K-Leaf and 9-18-9 did make 3 and 2 bpa more than the check respectively. What I am hypothesizing at this site is that the added nutrients, especially those with high P levels, significantly increased vegetative grown and these big plants were delayed into going reproductive and they started setting pods later in much hotter weather. While riding in the combine I could see that the plots with compact plants with clearly defined rows out yielded those were the vines had crossed over and we harvested through more of a solid mat of mature plants. A hot August is not uncommon and I am curious on whether this trend repeats itself. If it does this may direct us into research evaluating ways to force/promote the reproductive stage to start in these big plants. Even if we can force flowering to start earlier, it’s unknown whether yields will increase or not.
The same trends in treatments reducing stand can be seen at Perkins, however the impact was less extreme. Perkins being planted later due to waiting on moisture forced a later flowering date and I believe reduced overall yields. But the addition of P at this low pH site definitely made a difference. While again no treatments were statistically greater than the un-treated check the 2.5 gpa APP, DAP broadcast, APP/H2O, and Pro-Germ/H20 treatments increased yield by 5.6, 4.2, 3.8 and 1.7 bpa respectively.
Take home from year one was that at LCB the addition of a starter fertilizer had little benefit and if done wrong could cost you yield while at the low pH site of Perkins an addition 2.5 gallons of APP did get a 5 bpa bump, but do to variability in the trial the increase was not statistically significant. This year we will drop some of the treatments and incorporate a few new treatments. Based on the current weather we look to potentially being able to start with better soil moisture at planting. Again do not take this work and significantly adjust any plans you have for your 2015 soybean crop. This is however some interesting findings that I wanted to share and make everyone aware of. Finally thank you to the Oklahoma Soybean Board for providing funding for this work. www.oksoy.org/
The Nitrogen Rich Strip, or N-Rich Strip, is a technique/tool/process that I spend a great deal of time working with and talking about. It is one of the most simplistic forms of precision agriculture a producer can adopt. The concept of the N-Rich strip is to have an area in the field that has more nitrogen (N) than the rest. Due to our fertilizer applicators this is typically a strip. The approach maybe somewhat new but at one point most producers have had N-Rich Strips in their fields, albeit accidentally. Before the days of auto-steer it was not uncommon, and honestly still is not, to see a area in the field that the fertilizer applicator either doubled up on or skipped. In our pastures and dual purpose/graze out wheat every spring we can see the tell-tale signs of livestock deposits. When over laps or “Cow Pox” become visible we can assume the rest of the field is behind in nitrogen. I like to tell producers that the goal of the N-Rich strip is to make a really big cow pie.
What I like most about the N-Rich Strip approach is its Simplicity. The N-Rich Strip is applied and; Scenario 1. The N-Rich Strip becomes visible (Greener) you APPLY NITROGEN, Scenario 2. The strip is not visible you Option A. DON’T APPLY NITROGEN Option B. Apply Nitrogen Anyways. The conclusion to apply N or not is based on the reasoning that the only difference between the N-Rich Strip and the area 10 ft from it is nitrogen, so if the strip is greener the rest of the field needs nitrogen. If there is no difference N is not limiting and our research shows N does not have to be applied. However producers who decide to be risk adverse (in terms of yield) can apply N but it would be advised to do so at a reduce the rate. Now is a good time to note that the N-Rich Strip alone provides a Yes or No, not rate recommendation. At OSU we use the GreenSeeker optical sensor and Sensor Based Nitrogen Rate Calculator (SBNRC) to determine the rate, but that discussion will come later. I equate the change from using yield goal N rate recs to the N-Rich Strip as to going from foam markers to light bars on a sprayer. Not 100% accurate but a great improvement.
Now that we have covered the WHY, lets get down to the nuts and bolts HOW, WHEN, WHERE.
How the strip is applied has more to do with convenience and availability than anything else but there are a few criteria I suggest be met. The strip should be at least 10 ft wide and 300 ft long. The rate should be no less than 50 lbs N (above the rest of the field) for grain only wheat and canola, 80 lbs N for dual purpose wheat. The normal recommendation is that when applying pre-plant either have a second, higher rate programmed into the applicator or make a second pass over an area already fertilized. Many will choose to rent a pull type spreader with urea for a day, hitting each field.
Becoming more popular are applicators made or adapted for use. ATV sprayers are the most common as they can be multi-purpose. In most cases a 20-25 gallon tank with a 1 gpm pump is placed on the ATV with an 8-10ft breakover boom. The third applicator is a ride away sprayer with a boom running along the rear of the trailer. In all cases when liquid is the source I recommend some form of streamer nozzle. In most cases there is not a great deal of thought put into what source. I recommend whichever source is the easiest, cheapest, and most convenient to apply.
When the strip is applied in winter crops proper timing is regionally dependent. For the Central Great Plains, ideally the fertilizer should be applied pre-plant or soon after. However, in most cases as long as the fertilizer is down by the first of November everything works. This does not say a strip applied after this time doesn’t work but it leaves more room for error. There is a chance the crop could already be stressed or the nitrogen tied up and not release in time. However when the N-Rich Strip approach is used on the Eastern Shore in Virginia and Maryland the strips have to be applied at green up. The soils in that region are very deep sands and nitrogen applied in the fall may not make it to the spring. Also most wheat producers in the area make three or more applications of nitrogen unlike the two (pre and top) of the Great Plains. It is always important to make the tools fit your specific regional needs and practices and not the other way around.
Where is actually the biggest unknown. The basic answer is to place the N-Rich Strip in the area that best represents the field. Many people question this as it doesn’t account for spacial variability in the field, and they are correct. But my response is that in this case spatial variability is not the goal, temporal variability is. Keeping in mind the goal is to take a field which has been receiving a flat yield goal recommendation for the last 30+ years and make a better flat rate recommendation. My typically request is that on a field with significant variability either apply a strip long enough to cross the zones or apply smaller strips in each significant area. This allows for in-season decisions. I have seen some make the choice to ignore the variability in the field, made evident by the strip, and apply one rate and others choose the address the variability by applying two or more rates. One key to the placement of N-Rich Strips is record keeping. Either via notes or GPS, record the location of every strip. This allows for the strips to be easily located at non-response sites. It is also recommended to move the strip each year to avoid overloading the area with N.
I hear a great deal of talk about how it would take to much time to put out the N-Rich Strip. However the majority of producers that do it once on one field, end up doing it every year on every field. There is very likely someone in your area who is using the N-Rich Strips. As top-dress grows closer keep an eye out for a blog “Using the GreenSeeker Sensor and Sensor Based Nitrogen Rate Calculator”.
For more information on N-Rich Strips check out the YouTube video below, visit http://www.npk.okstate.edu or contact me directly at firstname.lastname@example.org. I have lots of material I am happy to share and distribute.
See the YouTube Video http://www.youtube.com/watch?v=kJ3DSwWYgE8
So I am going to approach a subject in this blog that is Not in my wheelhouse. At the first of the year I was asked by a friend to speak on Ag Apps at the 2013 InfoAg meetings. His thought was, hey this guy teaches Precision Ag and uses a IPad, he must know apps. Well, not so much. From January to the day before the talk in July I spent a great deal of time scouring the App store and working, my wife described it as playing, on my IPad. At info Ag I gave two talks, at the time of first talk on Tuesday I had 53 Free apps (1 paid), by the next morning and my second talk I had 60.
Since the meeting I have had numerous request for the slides and etc, so I thought this would be a good opportunity for a blog. Since InfoAg (7.17.2013) I have picked up even more apps, the total is now 76. However many of the new apps require registration.
On my IPad I have organized the apps into 8 basic folders:
ID Tools, Calculators, Seed, Sprayer/Chemical, Fertilizer, New/Weather/Markets, Scouting, Ag Apps (apps I don’t know what to do with).
While I have 76 Apps I of course don’t use them all. What follows is basically my Editors Choice from each group. Please note I have not had the time to work with all 76 Apps. And I am by no means an expert in Apps or the use of them.
I do have a basic require of any App I use. If I can not figure it out in 2 minutes its GONE. An app should be intuitive, easy to use and have a purpose. They only exception to the 2 minute rule is the Scouting Apps. Because of their complexity I allow them 5 minutes, then I am done.
This Category holds the One and Only App I paid for, Plant Images, a library of Nutrient Deficiency photos. I mean I am a Soil Fertility guy.
I regularly use Plant Images, ID Weeds, and the Pestbook as references. ID weeds is a true ID tool as you can use attributes to ID your weed, while the other two are visual reference tools.
I personally use the two Nutrient Removal Apps the most, but after the latest update AG-PhDs Fert. Removal has become my favorite as it allows you to entire any yield level.
Harvest loss is also a handy App that lets you put $ to combine inefficiencies.
This group contains two of my first Ag Apps and most frequently used.
Being a fertilizer guy herbicides are not my forte however I use the often.
TankMixCalc and SpraySelect has been in my App arsenal from the beginning.
The nice item about many of the Sprayer Apps is the ability to save/store mixes or provide record keeping.
Now the Fertilizer Apps are right up my alley. But the only ones I use are the Cost Calcs. As far as fertilizer recommendations go you must remember they are quite regionally specific so the Wisconsin Corn N rate Calculator does me little to no good.
This is the category that I have the most apps. My first was Agriculture (DTN/PF), so I fall back to it often but I also like AgIndex and AgWeb. With the news/marketing ext apps the biggest key is find one that a) reports on topics of interest to you, they do differ and b) has a layout and design that is easy to use and enjoy.
The Scouting tools are a bit different, most but not all require registration of some kind. I like most that I have tried but each has their own high and low points. The use of a scouting tool will be highly dependent upon uses, goals, and what companies you currently work with. For example Field Notes 360 has some nice points, you can make notes on photos, but you have to be a Pioneer employee or customer to get full use, I like Scout (Connected Farm) note taking capability and the fact you can input GreenSeeker NDVI values. I have the beta version of Sirrus but I can all ready tell you it is shaking out to be my favorite. Two wins for Sirrus, its method of creating and editing boundaries is top notch but what I like the most is its ability to set up a direct grid sampling.
I don’t expect any app to change my life or yours, but it may make it easier.
The ID Tools, Calculators, Sprayer/Chem and Fertilizer apps are nice when I am in the field with a producer and just break out the IPad for easy demo/explanation.
There is a multitude of apps available and more being produced every day. Just as everything else find what suites you regardless of others opinions. When searching with an IPad remember to switch the search to include IPhone apps, there are some good ones out there that are IPhone only.
If you want to see my presentation from InfoAg, checkout their website www.infoag.org/program3 or go to the http://www.NPK.osktate.edu website and download the PDF of the slides under the Presentation tab.
From the fall of 2011 to about a week ago one of my grad students, Lance Shepherd, has spent A LOT of time burning up the highways and back roads of Oklahoma. Lance’s project was titled “NPKS Strips in Oklahoma winter wheat”, basically an extension of the N-Rich Strip concept. We wanted to see if we could or would find a response to added nitrogen (N), phosphorus (P), potassium (K), or sulfur (S) fertilizer on top of the farmer’s fertilizer applications. Over the two crop years lance applied NPKS strip on more than 80 fields from the Kansas border to the Red River. Of those 80+ Lance was able to collect, by hand, grain samples from 59 sites. Over the next few weeks I will be sharing some of the juicy tidbits we are gleaming from this fantastic data set.
For the project at every site Lance collected soil samples to 18”, documented soil type and collected producer fertilizer, variety, and field history information. Over the 59 locations there were essentially 236 trials. The yield of each strip (N,P,K, and S) was compared back to a sample collected from the field, referred to as Farmer Practice. Of the 236 comparisons there were a total of 17 positive responses. Of these 17 responses seven were to N, seven to P, three to K, with no responses to S.
We are learning a great deal from these 17 locations. The biggest take home was that in most instances soil test results identified the yield limiting factors. For example of the seven responsive P locations six had either a low soil pH or low soil P index, some both. At only one site was there a response not predicted by soil test. Of all 59 harvested fields more than just six had low P or pH levels however most producers had applied enough fertilizer to reach maximum yield. For nitrogen two items proved to be the most likely reason for loss of yield, under estimated yield goal or environment conducive to N loss. As for the K responses we look at both K and chloride (Cl) as KCl, 0-0-62 potash, was applied in the K strip. Just looking at the soils data K was not low at any of the three sites. However, two sites are in sandy loam soils, which is conducive to Cl deficiencies. The lack of response to S was not surprising as soil tests indicated S was sufficient at all 80 locations were strips were applied. So again what did we learn from these plots, soil testing is key in maximizing yield and profitability and in most of the N responsive sites the N-Rich strip indicated a need for added fertilizer in February.
With all things holding constant the last canola trials of our project should be picked up by the plot combine Thursday 6-20-13. Before the first yield results comes to my desk I can tell you that we are learning a great deal from the trials this year. In particular the DAP (18-46-0) placed with seed trail that was supported by the Oklahoma Oilseed Commission. This past year at the no-till site in Perkins, which has a low soil pH, the check plots that did not receive any fertilizer, preplant or banded, did not survive the winter. Additionally at both of our locations, Lahoma (low soil test P) and Perkins, we have documented that oil content was reduced when phosphorus was left out of the treatment.
Additionally out of the four site years, that is two locations over two years, the addition of DAP with the seed in-row reduced stand. The graph below shows just how much stand was reduced on a relative basis. Relative stand is a way to compare the DAP treated to the Check (no DAP) which we assume is 100%. So if we look at the graph below the plots were at 75% relative stand (i.e. 25% loss) at approx 5 lbs N per ac. By about 15 lbs N the stand was down to 50%.
There are a few things to keep in mind first, in the case of these trials stand loss did not always mean yield loss. Canola is a great compensatory crop, if there is open space it will grow into it. I will have to run the final yield data to get more answers. These trials were planted on 15″ rows putting down 5 lbs seed per ac, or at least that was the target rate. Many have shown that the seeding rate does not have to be that high if sown properly. I believe in a few cases we may have actually benefited from thinning the stand. However if you were planting 2.5 lbs seed per acre a small loss of stand may be a bigger yield loss. This is one of the question we will have to answer in the future.
And finally it should be noted that canola is planted on a wide range of spaces 6″,7.5″, 12″, 15″, 30″ are some of the most common. As the row width changes the amount of N placed with the seed changes. In other words if the goal is 50 lbs DAP per acre you will put twice as much in a 15″ row than you do a 7.5″ row. The Table at the bottom provide a guide for equivalent rate based on 15″ rows. For example if your target a excepted stand loss of 25% (5 lbs N according to the Figure) but you are planting on 6″ row spacing the recommendation would be apply no more than 13 lbs N per ac in the row or 72 lbs DAP/ac (13/.18)