Comprehensive information on Nitrogen Use Efficiency for cereal crop production Agronomic Research Projects and Progress
 Precision Agriculture
 
Oklahoma State University
Current Graduate Students    
1 Yumiko Kanke
2 Emily Rutto
3 Birehane Desta
4 Jerry May
5 Daniel Edmonds
6 Walsh, Olga
7 Guilherme Torres
8 Jacob Vossenkemper
9 Matthew Edmonds
10 Yesuf Assen
 
2009 Planning Matrix
       
  Journal Articles to be completed Responsible  
   
   
Jagadeesh, Bermudagrass Algorithm Mosali, Kefyalew
Forage Production Systems (yield prediction-Lawles) Tubana, Mack, Olga
   
   
   
   
   
   
     
   
By-Plant Yield Prediction Martin, Arnall, Chung
  Sorghum Yield Prediction
  Soybean Yield Prediction
  Pressing Information Needs
  N Uptake in Wheat (over the entire cycle) 2 Varieties Starr Holtz  
  N Uptake in Corn (over the entire cycle) 2 Hybrids Starr Holtz  
 
  New Ideas/Projects
  Improved methodology for foliar N application in Corn    
  Indexes for Improved Yield Prediction In Wheat and Corn (Sum of NDVI's, indirect soil Moisture measurement)    
  Sonar/Laser Methodology for measuring height in wheat and corn. Pam Turner  
  Project Crop Student
1 Use and Application of CV's for improved Prediction of Yield Potential with Added N Fertilization (Gemini) Wheat and Corn Arnall
2 Apollo Sufficiency (combined with Regional NUE Trial) Corn Freeman
3 RI NDVI versus RI Harvest, corn, using Chlorophyll meters, height, and NDVI Corn Arnall, Tubana, Chung
4 On Farm INSEY Trials (OFIT) evaluating Nitrogen Fertilization Optimization Algorithms (NFOA) for improved Nitrogen Use Efficiency Wheat Freeman
5 On Farm INSEY Trials (OFIT) evaluating Nitrogen Fertilization Optimization Algorithms (NFOA) for improved Nitrogen Use Efficiency Corn Tubana
6 3-Point Variable Nitrogen Rate Applicator, Small Scale Evaluation of OSU-NFOA's Wheat Freeman, Teal
7 3-Point Variable Nitrogen Rate Applicator, Small Scale Evaluation of OSU-NFOA's Corn Freeman, Teal
8 Effect of Growth Stage and Environment on estimated Response Indices using NDVI  Wheat Chung
9 Green versus Red NDVI in Corn and Wheat Wheat and Corn Moges
10 Optimum field element size for maximum yields in winter wheat and corn using variable nitrogen rates  Wheat and Corn Tubana
11 Applied Use of Calibration Stamps for Improved In-Season Fertilizer N Rate Recommendations  Wheat  Mack
12 Early Season NDVI Readings and Optimum Resolution for Predicting Corn Grain Yields, distance, by plant Corn Chung
13 By Plant Prediction of Corn Forage Biomass  Corn Freeman
14 Corn On Farm INSEY Trials (OFIT) evaluating Nitrogen Fertilization Optimization Algorithms (NFOA) for improved Nitrogen Use Efficiency  Corn Tubana
15 Influence of Sensor Angle and Height on Measured Plant Biomass and Yield Prediction  Corn Moges
16 Evaluation of Corn Plant Height using Sonar for Improved Yield Prediction , 3 locs, V8, V10, VT Corn Tubana, Carol,
17 Use and Application of CV's for Improved NFOA's in Corn Corn and Wheat Raun
18 Extension of the Sensor Based Nitrogen Rate Calculator for use in Mexico, India, and China  Corn and Wheat Raun
19 Web-Based Extension of Nitrogen Rich Strips for Improved In-Season Nitrogen Fertilization Corn, Wheat, Bermudagrass, Sorghum Raun
20 Effect of Delayed Emergence on By-Plant Corn Grain Yield Corn Lawles
21 N Distribution in Corn Corn Freeman
22 Delayed N Fertilization in Corn, Catch-UP Corn Walsh
23 Corn yield prediction (Height, NDVI, ultrasound, distance, neighbor ht), using large scale plots Corn Tubana, Chung, Martin
24 Sorghum Yield Prediction Sorghum Moges
25 Canola Yield Prediction Canola Arnall
26 Theory: NDVI to predict NUE?  Changing NUE, what determines NUE? Low NDVI, higher RI? (true for wheat but not for corn) Corn and Wheat Tubana, Arnall, Chung
27 Long-Term Corn Trial Corn Raun
28 Long-Term N Topdress Trial, LCB Wheat Desta
29 Georgia Pacific Trials Wheat Raun
30 Miracle Products Trial Wheat Raun
Projects that Can Be Written UP
Long-term no-till topdress N trial
N Mineralization Trial, Lahoma
COMPLETED
1 By Plant Prediction of Corn Grain Yield Corn Martin
2 Effect of Corn Hybrid, N Rate, and Plant Population on CV and RI using Red and Green NDVI Corn Teal
3 Growth stage, development, and spatial variability in corn evaluated using optical sensor readings Corn Martin
4 Determination of optimum rate and growth stage for foliar applied phosphorus in corn  Corn and Wheat Desta
NEW PROJECTS
  Relationship with Yield Relationship with N Rate  
Height increased height as a function of its neighbor results in a relative increase in yield increased height as a "relative" function of its neighbor   
CV increased CV, decreased yield increased CV, decreased N rate  
NDVI increased NDVI, increased yield increased NDVI, decreased N rate  
GDD or Days increased gdd, decreased yield increased gdd, decreased N rate  
Variable NUE
Variable RI
  if an entire area has low NDVI, the N function is different, than when    
  you just have a few plants with low NDVI, or that are behind.    
  Model must account for competition and the size of each neighbor    
  CV of the "area" (4-5 plants) will dictate what model is used    
when NDVI is high, limit N application
Height, CV, NDVI for N rate
  % behind:  Point at which you decide not to fertilize    
  When the plant is x% ahead, what do you decide to do?