AgRePlan 300. The Race to 300

Transcription

1 AgRePlan 300 The Race to 300

2 AFP ZONES with Sample Points

3 Soil Testing... Correctly A smartly positioned sample, every 2.5 acres Veris EC data, Topographic data WA, LSP, EC Deep Zones Basis for moving forward with... VRT P, K, Lime VRT Seed and Nitrogen 3-D Water management plans, Surface and Sub-Surface

4 Zone Sampling More Tests better model Tests based on physical traits more accurate than tests based on spatial distance Spatial distance- GRID sample, pulling a sample because it is so many feet from another Physical traits- Soil Texture and Elevation What do your yield maps say? Does yield follow soil texture and elevation? Removal rate is what affects soil test, yield controls removal rate right????

5 PMZ

6 PMZ Allows us to manage based on returns Simply stated: In high yielding high potential areas inputs are allocated more aggressively than in areas that are low yielding with low to moderate potential. Would it make more sense to say? If I cannot fix a spot, I will allocate my expenses to match my return, without lowering the yield. This translates into input expenses being targeted toward best return, whether it is the best or the worst, input expense will match output potential

7 AFP Zones with Sample Points

8 PMZ

9 Smart Sample Nutrient Removal = Crop Yield X Removal Rate Soil Type, Elevation, Slope, determines yield So it only makes sense to place sample points defined by the physical traits that influence yield. RIGHT?? If so then why are folks selling something different? Using old thought processes and practices to employ new technology... makes a lot of sense... RIGHT?? Where does your good yield happen? Where does your poor yield happen? Is it Landscape driven?

10 Production zones based on... We can all agree, if all things are right, yield is a function of water So, we can easily make all things right, that part is pretty simple, and one of the most basic services performed in the industry Right - Defined... Sufficient nutrient and ph levels, to raise the expected yields So the next step would be to match input expenses to expected return... Simply put, spend where it can make you money, conserve where you cannot increase profit. Zones are based on quantifiable, high resolution physical characteristics that we all know have influence on production Would you pay more for well drained flat dark deep soil, vs poorly drained or over drained rolling light soil? So you also understand what I am saying...

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14 Variable Rate P, K, Lime Rx's based on the AFP model Allows expenses to be allocated based on return Fertility levels will match the level associated with its' respective yield class ph is brought to proper level for crops being grown Can manage Ca:Mg ratios with a Rx map

15 Smart Sampling...allows Good Allocation... VRT Seed and N... allows better allocation Where is the bulk of your input expense load? Seed, N, P, K? So if I allocate all above expenses based on expected returns... YOU MAKE MORE MONEY You increase yield in the best land, and you decrease expense in poor yield limiting areas However... we want to fix the fixable, to increase the acres of high earning good land.

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18 Variable Rate Seed and Nitrogen PMZ is basis for VRT Seed and Nitrogen Rates follow PMZ model which targets seed rate and Nitrogen rate to its' expected yield level

19 Do we have consensus? You would pay more for flat, deep, dark well drained soils, than you would for rolling, shallow light overly drained and poorly drained pocketed land. In the worst rolling nasty ground, there is good ground... that good ground needs drainage In flat awesome fields, we still need drainage to get the best yields we can get Do you drain the way you allocate? Why not? Easily answered... nobody has shown you how...

20 So in the same manner as input management... We attack the business of drainage... or better term Water Management... as we are looking at the overly drained soils as hard as the poorly drained areas. We manage with a water model... and the Water Model happens to be a function of Field Management zones, which was the basis of all our allocation...

21 So in the same manner as input management... We attack the business of drainage... or better term Water Management... as we are looking at the overly drained soils as hard as the poorly drained areas. We manage with a water model... and the Water Model happens to be a function of Field Management zones, which was the basis of all our allocation...

22 Water Model Elevation Contours Flow Paths Depressions Slope WA LSP Watersheds Soil Texture Aspect

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27 I don't have any Surface Water Problems This is a typical statement... However once we run the models... we usually find different... It is not that they are not aware of the problem, it is just that, how to fix it has been the question... The understanding that these holes can be drained, and how they can be drained has never been explained..

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30 Simple surface drain enhancement The topography on this field is fine, however it ponds because the outlets are depressional Water also is held in the existing surface drains because each drain is a series of depressions

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34 Surface Drain Another field, this one has a large depression in the middle of it, and several smaller ones scattered throughout This is also another simple surface drain to relieve

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37 Surface drainage issue again Now this is a more complex problem, lots of depressions making up a large area, but each depression is not all that large Scuff and Buff... changing the topography slightly to solve the depression problem

38 Water Management Plan So once the situation is understood then a plan can be put in place to address problems in the field. Tile Design- Texture Spacing model Surface Design- Farmable Surface ditches Surface Design- Scuff and Buff relief

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43 What about Yield maps? I never steer my boat by the wake... History is what yield data is about Yield data allows us to highlight and put the true value on the areas we say could be good, but are not performing- Allows a performance index to be calculated... Yield Maps do not say what it could do, only what it did... Yield DOES NOT, discover what potential is... it discovers what performance is... that is it... it is not used to build production zones... doing so ensures you keep getting what you are getting.

44 Do not misunderstand me... Yield data works well to quantify a problem area Yield data is a fair way to measure hybrid performance Calculate nutrient removals as a zone avg.. too noisy to use spot to spot Yield DATA is not a predictor of potential... it is a history lesson...understanding history is critical for success... however history repeats itself if we keep doing the same thing (Definition of Insanity... doing the same thing over and over and expecting a different result) We manage to the true potential, because we have the ability to measure, plan and repair

45 Where do I start? Start where you are comfortable... but start.. Our system grows with you and your ability to adopt practices We all agree that water is the over-riding variable controlling yield, and if all things are correct, water is present in right amount, yields can exceed 300BPA!!! Our program is focused on fixing the land with the highest earning potential, and conserving inputs in areas where production is limited.