Evaluation of Midseason UAN Application Depth in Winter Wheat

Slides:



Advertisements
Similar presentations
O K L A H O M A S T A T E U N I V E R S I T Y Rationale N. Macnack¹, J. Kelly², J. Mullock¹, I. Ortiz-Monasterio 3, and W. Raun¹. ¹Plant and Soil Sciences,
Advertisements

Do In and Post-Season Plant-Based Measurements Predict Corn Performance and/ or Residual Soil Nitrate? Patrick J. Forrestal, R. Kratochvil, J.J Meisinger.
World Phosphorus Use Efficiency in Cereal Crops Guilherme Torres, Natasha Macnack, Bee Chim, Jeremiah Mullock, and William Raun Oklahoma State University,
Effect of Long-term Cattle Manure Application on Soil Test Phosphorus, Organic Carbon and Winter Wheat Grain Yield Natasha Macnack, Peter Omara, Lawrence.
Ethan Wyatt Plant and Soil Sciences Oklahoma State University.
Jacob P. Vossenkemper Department of Plant and Soil Sciences Oklahoma State University.
Nitrogen use efficiency (NUE) for cereal production worldwide is approximately 33% with the remaining 67% representing a $15.9 billion annual loss of Nitrogen.
Results Effect of Simulated Grazing Intensity on Dual-Purpose Winter Wheat Growth and Grain Yield Dillon Butchee and Jeff Edwards Department of Plant and.
Nitrogen use efficiency (NUE) is estimated to be 33% throughout the world, and can be lower in single, pre-plant applications compared with split nitrogen.
May 6, Drought tolerant Miller ComparisonsEfawLCB Grain Yield (bu/ac) Drought tolerant vs. Non-drought tolerant Monsanto vs. Pioneer
Effect of Nitrogen Sources, Rates, and Application Time on Spring Wheat Yield and Grain Protein Olga S. Walsh, Western Triangle Agricultural Research Center,
INFLUENCES OF IRRIGATION AND N FERTILIZATION ON MAIZE (Zea mays L.) PROPERTIES - Hrvoje PLAVSIC1 - Marko JOSIPOVIC1 - Luka ANDRIC1 - Antun JAMBROVIC1 -
The Nitrogen Requirement and Use Efficiency of Sweet Sorghum Produced in Central Oklahoma. D. Brian Arnall, Chad B. Godsey, Danielle Bellmer, Ray Huhnke.
Oklahoma State University Department of Plant and Soil Sciences Oklahoma State University Department of Plant and Soil Sciences Nitrogen Loss from Urea.
Evaluation of Combinations of Bispyribac-Sodium or Amicarbazone with Trinexapac-Ethyl or Paclobutrazol for Annual Bluegrass Control On Creeping Bentgrass.
2  Objective: Improve in-season estimate of yield for winter wheat utilizing profile soil moisture (0-80 cm) obtained from Oklahoma Mesonet data. Lahoma.
Nitrogen Use Efficiency Workshop Canopy Reflectance Signatures: Developing a Crop Need-Based Indicator for Sidedress Application of N Fertilizer to Canola.
Reverse N lookup, sensor based N rates using Weather improved INSEY Nicole Remondet.
S I N G U L A T I N G M A I Z E H A N D P L A N T E R DEVELOPMENT AND EVALUATION OF A SINGULATING MAIZE HAND PLANTER FOR USE IN DEVELOPING COUNTRIES L.
Surface Cover and Biomass in No-tillage Cropping Systems as Affected by Crop Rotation, Winter Cover Crop, and Winter Weeds Forbes Walker 1, Nick Ryan 1,
Evaluation of Foliar UAN and Timing on Wheat Grain Yield and Protein Department of Plant and Soil Sciences, Oklahoma State University, 371 Agricultural.
Determining the Most Effective Growth Stage in Corn Production for Spectral Prediction of Grain Yield and Nitrogen Response Department of Plant and Soil.
Use of By-Plot CV’s for Refining Mid-Season Fertilizer N Rates Daryl Brian Arnall Plant and Soil Sciences Department Oklahoma State University.
Root biomass and grain yield of Pavon 76 wheat and its Near isogenic Lines in Organic and Synthetic Fertilizer Systems Ruth Kaggwa-Asiimwe 1, Mario Gutierrez-Rodriguez.
Reverse N lookup, sensor based N rates using Weather improved INSEY Nicole Remondet Rationale Weather is an aspect of agricultural sciences that cannot.
Optimizing Nitrogen and Irrigation Timing for Corn Fertigation Applications Using Remote Sensing Ray Asebedo, David Mengel, and Randall Nelson Kansas State.
Evaluation of Drum Cavity Size and Planter-tip on Singulation and Plant Emergence in Maize (Zea mays L.) Department of Plant and Soil Sciences, Oklahoma.
2013 NUE Conference Des Moines, Iowa August 5-7 Jacob T. Bushong.
E FFECT OF S EED D ISTRIBUTION AND P OPULATION ON M AIZE G RAIN Y IELD B EE K HIM C HIM G RADUATE S TUDENT D EPARTMENT OF C ROP, S OIL & E NVIRONMENTAL.
Economically Raising Nitrogen Use Efficiency By: Paul Hodgen.
Automated Calibration Stamp Technology for Improved In-Season Nitrogen Fertilization K. Freeman, R. Teal, C. Mack, K. Martin, B. Arnall, K. Desta, J. Solie,
 Part of › Amino Acids: Building blocks of proteins › Enzymes: responsible for all biological process › Nucleic Acids › Cholorphyll  Needed for Carbohydrate.
Evaluation of NUE and WUE on Corn Hybrids With and Without Drought Tolerance in Irrigated and Dryland Production Systems Eric C. Miller Jeremiah L. Mullock,
NITROGEN FERTIGATION OF SUBSURFACE DRIP IRRIGATED BERMUDAGRASS M.A. Maurer* 1, J.A. Moken 2 and J.L. Young 1 1 Department of Agriculture, Stephen F. Austin.
Savoy,*H.J. 1, Leib, B. 1, and Joines, D. 2 1 Associate Professors, University of Tennessee, Biosystems Engineering and Soil Science, Extension 2. Manager,
Jac J. Varco1, Robert E. Earnest1, and Jimmy D. Johnson2
Figure 3. Concentration of NO3 N in soil water at 1.5 m depth. Evaluation of Best Management Practices on N Dynamics for a North China Plain C. Hu 1, J.A.
Nutrient elements are classified according to the quantities they required for plant development. Micronutrients are required in much lower concentrations.
Effect of micronutrient fertilizer on winter wheat yield
Effect of Long-Term Application of Biosolids on Molybdenum Content of Winter Wheat Forage of Winter Wheat Forage Effect of Long-Term Application of Biosolids.
Introduction Efficient use of nitrogen is becoming important due to increasing N fertilizer prices and the growing concerns about NO 3 - contamination.
LATE SEASON N APPLICATIONS FOR IRRIGATED HARD RED WHEAT PROTEIN ENHANCEMENT. S.E. Petrie*, Oregon State Univ, B.D. Brown, Univ. of Idaho. Introduction.
Sensor Based Technologies in Mexico CIMMYT (Dr. Ivan Ortiz-Monasterio ) Oklahoma State University (Yumiko Kanke)
Nitrogen Use Efficiency as Influenced by Crop Response Index. G.V. Johnson, W.R. Raun, R.W. Mullen, R.L. Westerman and B.B. Tucker Department of Plant.
Locations Efaw Lake Carl Blackwell Haskell Years2005, 2006 Objectives: 1)To determine the minimum preplant N fertilizer needed to achieve maximum yield.
Effect of Preplant/Early Irrigation, Nitrogen and Population Rate on Winter Wheat Grain Yield Plant and Soil Sciences Department, Oklahoma State University,
Generalized Algorithm for Variable Rate Nitrogen Application on Cereal Grains John B. Solie, Regents Professor Biosystems and Agri. Engineering Dept. William.
NFOA for Wheat and Corn. Yield Potential Definitions INSEYIn Season Estimated Yield = NDVI (Feekes 4 to 6)/days from planting to sensing (days.
Influence of Late-Season Foliar Nitrogen Applications on Grain Protein in Winter Wheat C.W. Woolfolk, W.R. Raun, G.V. Johnson E.G. Krenzer, and W.E. Thomason.
Where do Enhanced Efficiency Nitrogen Fertilizers and Split N Applications Fit? Cynthia Grant and Alan Moulin AAFC - Brandon Research Centre Nicolas Tremblay.
Silvano L. Abreu1, Chad B. Godsey1, Gary Strickland2, and Jeff T
RESULTS AND DISCUSSION
NDVI Active Sensors in Sugarbeet Production for In-Season and Whole Rotation Nitrogen Management.
EFFECTS OF SEED STERILIZATION TREATMENTS ON SEEDLING VIGOR AND IN VITRO CALLUS INDUCTION OF FOUR MAIZE INBRED LINES Anita Dutta1, Juan Carlos Martinez2.
Carbon Cycling in Perennial Biofuel Management Systems
Evaluation of the Yield Potential Based NFOA for Cotton
Topsoil Depth at the Centralia Site
Using Sensors and Lime Reference Strips to Manage Soil Acidity
EVALUATION OF POTATO (Solanum tuberosum L
C. Kallenbach1. , W. Horwath1, Z. Kabir1, J. Mitchell2, D
EFFECT OF DELAYED EMERGENCE ON CORN GRAIN YIELDS
G. V. Johnson and W. R. Raun Dept. Plant & Soil Sciences
E.V. Lukina, K.W. Freeman,K.J. Wynn, W.E. Thomason, G.V. Johnson,
Predicting Winter Wheat Grain Yield under Grazed and Non-Grazed Production Systems Jason Lawles.
Utilizing Indicator crop N-rich strips for anticipating pre plant and side dress Nitrogen rates for maize. Rationale Nitrogen use efficiency (NUE) in cereal.
Annual ASA Meeting, Indianapolis
OSU Corn Algorithm.
Late-Season Prediction of Wheat Grain Yield and Protein
Conventional N Management for Oklahoma
Effects of reduced tillage on vertical phosphorus stratification and availability Clain Jones, Chengci Chen, Evette Allison, and Karnes Neill Montana State.
Presentation transcript:

Evaluation of Midseason UAN Application Depth in Winter Wheat Ryan Bryant-Schlobohm

Global Cereal Production Global cereal production in 2013 – 2.7 billion Mg World populations continue to rise Grain production must keep pace Improved genetics and production practices are central to this effort Table 1. Statistics courtesy of FAOSTAT: http://faostat3.fao.org/browse/Q/QC/E

Global Fertilizer Usage Large quantities of N are annually consumed Global N use efficiency is 33% Sustainable recommendations to producers must be central to current research practices Table 2. Statistics courtesy of FAOSTAT: http://faostat3.fao.org/browse/R/*/E

Subsurface N Applications Urea based fertilizers are vulnerable Ammonia volatilization is a critical factor affecting NUE Unincorporated, surface applications are highly sucesptible Losses as great as 40% (Fowler and Brydon, 1989; Hargrove et al., 1977). Denitrification is high in no-till, surface applications Aulakh et al. (1984) Figure 1. Perkins plots prior to harvest.

Subsurface N Applications Subsurface applications of N are highly efficient Reduces ammonia volatilization and N immobilization, especially in no-till cropping systems (Rao and Dao, 1996) Continuous innovation and refinement What is the proper application depth for UAN fertilizer? Figure 2. Subsurface application to winter wheat from a coulter applicator.

Objective The objective of this study was to evaluate midseason application depths of UAN fertilizer in winter wheat. Figure 3. Coulter applicator applying subsurface treatments.

Materials and Methods Four locations within the state of Oklahoma Hennessey (no-till), Lahoma (conventional), Lake Carl Blackwell (conventional), Perkins (no-till) Randomized complete block design 14 treatments with 3 replications, Table 3 Dependent variables Application depth – surface, 5 cm, and 10 cm Midseason N rate – 0, 34, 67, 101, and 134 kg N/ha All treatments received 45 kg/ha of pre-plant N, except treatment 14 Table 3. Treatment structure for all locations.

Figure 4. Coulter applicator. Materials and Methods Independent variables Grain yield, grain N content, NDVI, NUE Subsurface treatment applications were made with a coulter applicator, Figure 4 All sites received midseason N at Feekes growth stage 5 Data was analyzed with SAS 9.4 PROC GLM, LSD alpha=0.05, single df contrasts Figure 4. Coulter applicator.

Lahoma Grain Yield Results At rates of 34 kg N/ha, yields from surface applications were significantly higher than the subsurface applications 67 kg N/ha saw the surface application being statistically better than the 5 cm depth, and numerically higher than both subsurface depths 10 cm depth was significantly higher than the 5 cm depth The 10 cm depth witnessed higher yields, overall, when compared to the 5 cm depth Different letters above bars represent significant treatment differences at alpha=0.05. Table 4. Grain yield results from Lahoma.

Lahoma Grain N Positive trend of increased applied N equaling elevated grain N levels 67 kg N/ha, 5 cm depth was significantly superior to surface and 10 cm treatments 134 kg N/ha, 5 cm depth was statistically higher than the surface treatment Contrasts for surface vs. 5/10 cm were significant for both subsurface applications Contrast between 5 and 10 cm treatments was not significant Different letters above bars represent significant treatment differences at alpha=0.05. Table 5. Grain N results from Lahoma.

Lahoma Grain Yield/NDVI F7 Strong correlation between NDVI at Feekes 7 and grain yield Table 6. Grain yield by NDVI F7 results from Lahoma.

Perkins Grain Yield Results At rates of 34 kg N/ha, the inverse of Lahoma occurred – the subsurface application of 10 cm was significantly higher than the surface application, with 5 cm being numerically superior to the surface treatment When comparing the 5 cm and 10 cm depths, 10 cm saw the highest yields, except at the 134 kg N/ha rate, yet lacked statistical significance Different letters above bars represent significant treatment differences at alpha=0.05. Table 7. Grain yield results from Perkins.

Perkins Grain N Positive trend of increased applied N equaling elevated grain N levels 100 kg N/ha, subsurface applications were significantly greater than the surface treatment 134 kg N/ha, 5 cm depth was significantly higher than the surface application No statistical difference between 5 and 10 cm Contrasts for surface vs. 5 cm/10 cm were significant for both subsurface treatments Different letters above bars represent significant treatment differences at alpha=0.05. Table 8. Grain yield results from Perkins.

Perkins Grain Yield/NDVI F7 Strong correlation between NDVI at Feekes 7 and grain yield Table 8. Grain yield by NDVI F7 results from Perkins.

Conclusions Variability in N response across locations confirms the need for site specific, midseason N management 10 cm depth was more impactful to grain yield than 5 cm Clear, positive impact to grain yield from the addition of 45 kg/ha of pre-plant N No damage from subsurface application equipment At Lahoma, 34 kg N/ha on the surface was significantly higher than subsurface counterparts No statistical difference of surface and 10 cm treatments at the 67 kg N/ha rate Figure 5. Visible N response at Lahoma.

Conclusions Perkins witnessed the inverse at the 34 kg/ha N rate Subsurface applications were superior Specifically 10 cm depth Application zone bypassed the active microbial zone Subsurface treatments provided better grain N content Clear, positive trend for elevated grain N at higher N rates Overall, depths of 10 cm were more effective than 5 cm Especially at lower midseason N rates in no-till systems Figure 6. Treatment response at Lake Carl Blackwell.

Acknowledgments Department of Plant and Soil Sciences at Oklahoma State University Oklahoma Agricultural Experiment Station Oklahoma Fertilizer Checkoff Dr. Bill Raun Dr. Hailin Zhang Dr. Randy Taylor Soil Fertility graduate students and staff Ryan Bryant-Schlobohm 055 Agricultural Hall, Stillwater, OK – 74078 ryan.schlobohm@okstate.edu