Sidedress. trogen Uptake. Seasonal Nit. 80% of requirement after V8-10
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1 EPRI Greenhouse Gas Offsets Workshop Nov. 4, 2011, Washington, DC Common and Evolving Practices for Nitrogen Management in U.S. Agriculture Ron Gehl Dept. of Soil Science NC State University
2 Nitrogen Management Goals: E l Match crop need with fertilizer and/or manure applied Insure maximum nutrient use efficiency using rate, timing, and placement in such a way as to reduce losses to the environment, % Seasonal Nit trogen Uptake Early Rapid Lt Late Growth Growth Maturing Loss Sidedress May June 80% of requirement after V8-10 July Aug Sept
3 U.S. Nutrient Use by Crop, 2009 Pe ercent of to otal Nitrogen Phosphate Potash Corn Wheat Soybeans Cotton Source: USDA/NASS and AAPFCO/TFI
4 U.S. Corn Production o and Nutrient t Use on Corn +87% -4% Slide adapted from TFI, computed from NASS data
5 Optimizing Nitrogen Use Determine optimum N rate Adjust rate for non-fertilizer N Manure & legume N Soil N contributions Can be substantial! Residual nitrate Mineralized N Manage N to avoid losses Source Placement Timing
6 Managing g N to Avoid Losses Placement Controlling ammonia volatilization losses Increasing importance of urea as a fertilizer source Increasing use of no-till cropping systems Current practices include sidedress liquid N or anhydrous between rows, fall applications in some parts of Corn Belt (knifed- in anhydrous, broadcast urea preplant, 2x2 starter Depending on source, critical to minimize ammonia volatilization losses
7 Managing g N to Avoid Losses Timing Consider soil characteristics and climate Consider likely loss mechanisms Consider timing of crop N demand Sources Common sources in US include liquid solutions (43%), urea (21%), and anhydrous ammonia (16%) Growing interest in controlled-release release sources and fertilizer additives
8 Rate Managing g N to Avoid Losses Yield goal-based Farmer experience Traditional method for university/state recommendations Typically includes other factors (e.g., previous crop, profile N) Concept relies on per unit yield response to N e.g. (Base N rate = (1.36 x YG) 27-NC) Soil-specific Based on yield response to N in given soil; preplant profile soil N Maximizing economic return to N Based on economic return functions Has gained popularity/adoption in recent years
9 How are Fertilizer Rate Recommendations Developed? Historic data and research experience as starting point Develop and perform experiments Correlation: Relationship between soil test levels and crop response Calibration: Relationship between applied fertilizer rate and crop response Multiple site-years required to improve accuracy across broad geographic ranges the more specific, the better Must be updated to reflect current agricultural practices and improvements in crop varieties and production
10 Data fit to response models.. Developed by Tom Bruulsema, PPIC NE Region; Scott Murrell, PPIC NC Region
11 Data fit to response models.. Developed by Tom Bruulsema, PPIC NE Region; Scott Murrell, PPIC NC Region
12 Maximum and Optimum Levels for Yield Response to Applied N Economic Optimum Agronomic Maximum Yield (bu/acre e) N rate (lb/acre)
13 N Recommendations Since 2006, several states have adopted a new regional approach to N recs. for corn Iowa, Illinois, Indiana, Ohio, Michigan, Wisconsin, Minnesota ~55% planted corn acres in 2011 Why? Diverse N rate recommendation systems across states Lack of optimum N rate relationship with corn yield Concerns about N rates with corn yields at record levels (and N use at high yield levels)
14 Fundamentals of the regional approach Similar analysis of data for each state Uses state-specific specific data to calculate individual state N recommendations Data from recent N response trials Determine economic response and most profitable N rates directly from trials in N response database Maximum Return To Nitrogen (MRTN) Previously described by Nafziger, Sawyer, and Hoeft (2004)
15 Reasons for the Regional Approach Diverse N rate recommendation systems across states Lack of optimum N rate relationship with corn yield Concerns about N rates with corn yields at record levels (and N use at high yield levels)
16 Yield goal based N Recommendations Illinois lb N/A = (1.2 x YG) N credits; soybean credit = 40 lb/a Michigan/Indiana/Ohio lb N/A = (1.36 x YG) - 27 N credits; soybean credit = 30 lb/a Minnesota Expected Yield (bu/a) PC Corn Corn Soybean Soybean OM* N to apply (lb N/A) Low Med/High Low Med/High * Low OM < 3.0%; Med/High OM 3.0% soybean credit = 40 lb/a
17 Non- yield goal based N Recommendations Iowa PC N rec. (lb N/A) Corn 150 to 200 Soybean 100 to 150 Wisconsin --- Sands/loamy sands Other soils OM Irrigated Non-irrigated Low/Med YP High/Very High YP % lb N/A < > (soybean credit = 40 lb N/A)
18 N Required per Bushel in MI ushel lb N/bu) uired per Bu N Credits ( N Requ Including mean = standard deviation = Yield (bu/a)
19 Relationship Between Optimum N Rate and dyi Yield Michigan Iowa 24 site years; pc varies 81 site years; pc soybean m N rate, lb N/ac Optimu y = x R 2 = Optimum m N rate, lb N/ac EONR = 0.21OY R 2 = Optimum yield, bu/ac Optimum yield, bu/ac From Nafziger et al., 2004
20 Sawyer et al., 2006
21 Calculation of MRTN Database from corn yield N response trials for various crop rotations and soil yield potentials Response model calculated for each site 250 Example of a Few Site N Response Trials with SC Corn Yield, bu/acre Clay 03 Boone-SN 02 Harrison 03 Johnson NR Rate, lbn/ N/acre
22 Calculation of MRTN Return To N (RTN) calculated for each site in the dataset For every 1 lb N/acre applied from 0 to 240 lb N/a, calculate l the yield increase over the yield obtained with 0 lb N/a RTN = yield increase times price of corn minus the cost of N MRTN is the N rate with the greatest average economic return to N A range is determined where returns to N are within $1.00/acre of MRTN This provides a range of most profitable N rates
23 Calculation of MRTN 4 th - Find the N rate with the greatest average return to N, this is the MRTN and N rate at the MRTN Site Return to N at various N rates (lb/acre) $/acre MRTN Average
24 Calculation of MRTN 5 th - Find the N rates with returns to N within $1.00/acre of MRTN Site This provides a range of most profitable N rates LOW Return to N at various N rates (lb/acre) MRTN $/acre HIGH Average
25 Calculation of MRTN Site LOW HIGH Return to N at various N rates (lb/acre) $/acre MRTN Average
26 cre rn to N, $/a Retu MRTN and Most Profitable N Rate Range 160 $4.00/bu Iowa - SC $0.20/lb N A range of N $0.40 $0.60 rates can MRTN $0.80 LOW produce profitable yields HIGH N Rate, lb N/acre Economics clearly drives the profitable N rate
27 MRTN and N Risk Management Although may want to be 100% certain of N sufficiency, being that certain is not necessarily most profitable The risk of lower N rates is a decrease in profitability due to lost yield The risk of higher N rates is a decrease in profitability and environmental concerns due to unneeded N Most profitable N rate range helps protect these risks
28 Risk from Applying MRTN Rate (123 lb N/acre for IA - SC) Frequency Percent Maximum Yield % of Si ites % sites above 95% max. yield 7% sites below 95% max. yield < 1% sites below 90% max. yield Maximum m Yield % EONR, lb N/acre 0.10 Price Ratio $0.40/lb N:$4.00/bu 0 Source: Sawyer
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30 Future?
31 The Future of N Management? Optical Sensing/Diagnostic Tools Non-destructive methods of evaluating gp plant status Measurement of canopy reflectance/ relative plant greenness Crop canopy sensors used to determine optimal N rates (in season), crop-dependent response Algorithm development Yield (Mg/h ha) y = e x 14 R 2 = INSEY (NDVI/DFP) Yield prediction for corn (Source: Raun, OSU)
32 N Algorithms Yield prediction for corn XY XY (Scatter) 1 LCB-05 EFAW-05 Perkins-05 EFAW-04 Perkins-04 LCB-Cat ch ch EFAW-Catch Haskell-Cat ch ch LCB-Nrat e Haskell-Nrate Dekalb Pioneer EFAW-03 LCB-03 EFAW-04 LCB-04 Shelt on on Ames b tt 109bt 113bt b tt 109bt 113bt OH-WBR-04 OH-WBR-05 OH-WBA-05 XY XY (Scatter) Yie ld (Mg/ha) y = e x R 2 = INSEY (NDVI/DFP)
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35 Future N rate research will be needed to: Accompany educational delivery Fill in gaps where data are limited Geographic, soil productivity, rotation Monitor the role of soil N and N use efficiency Assess the effect of improved genetics and higher corn yield potential Web based MRTN calculation tool IPNI Crop Nutrient Response Tool and Rate Reduction Calculator
36 Thank you. Photo courtesy J. Camberato, Purdue Univ.
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