Components of a Variable Rate Nitrogen Rec

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Presentation transcript:

Components of a Variable Rate Nitrogen Rec Brian Arnall Precision Nutrient Management | Oklahoma State University 40 min

Overview Share current on goings in US N Management Concepts VRT recs How and Why Hopefully sometime down the road it causes some thought.

VRN backdrop In past News is about Lake Erie Des Moines Chesapeake Bay Oklahoma Sues Arkansas News is about Lake Erie Des Moines Impact elsewhere

Land-grant N recs Stanford Equation

NCrop Yield Yield Goal Soil Class Yield Map Biomass Map Growth | Uptake Model, later.

Yield Goal |Nitrogen Removal Rates HRW Wheat Canola 20 30 38 45 57 40 60 76 50 75 94 90 113 80 120 152 100 150 188

MRNT | EONR Regionally | Soil Specific Uses a Large Data Base Includes Economics

MRNT It must be recognized that rate guidelines developed from analysis of trials conducted across a wide geography will be general in nature. Those guidelines reflect the research data and provide insight into general fertilizer N needs. However, they cannot predict site-specific N requirements, and they are unlikely to provide an accurate estimate of the optimum N rate needed in each specific environment. It is well documented that optimum N rate varies among sites and years within sites (Figure 5, 6, and 7). Nevertheless, guidelines should provide an N rate that reflects economic value and probability of achieving expected economic return across a range of locations and period of time. The MRTN approach provides both the above- mentioned benefits and allows analysis across a range of N response trials.

Yield Monitor

Biomass Biomass is a Proxy for Yield NDVI et al. is a Proxy for Biomass Therefore NDVI is a Proxy for Yield. Understanding Bio -> Yield essential.

Yield By Soil Yield Potential determined by OM Texture Soil type

NSoil Soil Soil Test Mineralization Losses Pre In-Season Mineralization Losses N Addition and N Loss via Weather.

PPSTN|PSNT|ISNT Accounting for soil N levels before or after crop has been planted. One the first and most regionally successful attempt to conquer the Nitrogen cycle and mineralization.

Chlorophyll Spad Meter Lets the Plant tell you about the Soil it sees.

Stalk Nitrate Test Post Mortem Evaluation. Check up of this year performance. Which is great, if the optimum N rate is consistent from year to year. Low = Less than 450 ppm nitrate-N = High probability that nitrogen is deficient Optimal = 450 - 2000 ppm nitrate-N = Yields are not limited by nitrogen Excessive = Greater than 2000 ppm nitrate-N = Uptake exceeds requirements

Models Encirca, Yield 360, AdaptN, FieldView Pro….. For the most part are looking at two variables. The deference may be how much priority is given. Growth Model, Heavily based on GDD. Soil Model, Heavily based on rainfall and temp. Most utilizing NOAA data.

Biomass Plus NDVI plus a Reference Strip. Yield + Soil (Environment)

eFert eFert 4Rs NUE – Lbs of N per Bushel????? Source Placement Time Rate NUE – Lbs of N per Bushel????? Consistent low v high?

Integration of Parameters Stanford Equation

Ncrop and Nsoil

What a theoretical N models look like.

Integration of Approaches Ok State Optical Sensor. YP RI model Yield by Soil by Weather.

Where is YOUR Opportunity N-Crop: Is you yield Temporally Variable? Spatially Variable? N-Soil: Do you have at least .5% OM and inconsistent Weather E-Fert - is your texture or landscape spatially variable? Can you adjust based on Management.

Nutrient Rich | Un-rich Strips

Link for full article at www.OSUNPK.com

Thank you!!! Brian Arnall 373 Ag Hall b.arnall@okstate.edu 405-744-1722 b.arnall@okstate.edu www.npk.okstate.edu Twitter: @OSU_NPK www.Facebook/OSUNPK YouTube Channel: OSUNPK Blog: OSUNPK.com www.Aglandlease.info Projects supported by the International Plant Nutrition Institute and the Oklahoma Fertilizer Checkoff Program.