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TECHNOLOGICAL CHANGES IN NUTRIENT MANAGEMENT

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TECHNOLOGICAL CHANGES IN NUTRIENT MANAGEMENT – PowerPoint PPT presentation

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Title: TECHNOLOGICAL CHANGES IN NUTRIENT MANAGEMENT


1
TECHNOLOGICAL CHANGES IN NUTRIENT MANAGEMENT
  • K. Freeman, R. Teal, C. Mack, K. Martin, B.
    Arnall, K. Desta, S. Moges, B. Tubana, Byungkyun,
    Chung, Olga Walsh, J. Solie, M. Stone, H. Zhang,
    S. Deng, G. Johnson,A. Klatt, B. Raun

2
Assistance
  • DASNR Administration
  • Dept. Heads
  • Colleagues
  • Students

Sense of Urgency
3
CIMMYT
Ciudad Obregon
Mexico City
4
USA Collaboration
  • OSU, Variable Rate Technology USDA-ARS South
    Dakota
  • John Solie, Marvin Stone, Gordon Johnson
    Shannon Osborne
  • University of Minnesota USDA-ARS Nebraska
  • John Lamb, Gyles Randall J. Schepers, D.
    Francis
  • North Dakota State University USDA-ARS Iowa
  • Dave Franzen, Jay Goos Jerry Hatfield
  • Colorado State University USDA-ARS Maryland
  • Raj Khosla John Meisinger
  • Kansas State University USDA-ARS Missouri
  • Alan Schlegel N. Kitchen, K. Sudduth
  • University of Nebraska Texas AM
  • Richard Ferguson Kevin Bronson
  • Virginia Tech University Idaho State University
  • Steve Phillips Bryan Hopkins, J. Elsworth
  • Wade Thomason
  • North Carolina State University Univ. of Illinois
  • John Havlin Bob Hoeft
  • Ohio State University Univ. of Kentucky
  • Robert Mullen Greg Schwab

5
International Collaboration
  • CIMMYT
  • Ciudad Obregon, Mexico, Ivan Ortiz-Monasterio
  • El Batan, Mexico, Ken Sayre
  • New Delhi, India, Raj Gupta
  • Ecuador, Hugo Vivar
  • Mexico
  • UNAM
  • Agric. Canada
  • Nicolas Tremblay
  • INTA, Rosario Argentina
  • Ricardo Melchiori
  • AAPRESID, Buenos Aires, Argentina
  • Agustin Bianchini
  • OSU, Nigeria
  • Mike Kizer, Ron Elliott
  • Chinese National Academy of Sciences
  • Cheng Yisong, Hailin Zhang

6
OSU Collaboration
  • Canola
  • Tom Peeper
  • Forage Yield Prediction
  • Jeff Edwards
  • Sensor Based Technology for Plant Breeding
  • Art Klatt, Brett Carver
  • Sensor Based N Rate Calculator
  • Hailin Zhang
  • Long-Term Trial Evaluation
  • Shiping Deng

7
  • Crop Nitrogen Algorithm Workshop
  • 2003 (40)
  • 2004 (60)
  • Regional Trial

8
Student International Work
9
  • MAJOR ADVISOR
  • Country Degree Completion Date
  • Attefat, Mehdi Iraq M.S 1992
  • Ascencio, Edgar Noel. El Salvador M.S. 1992
  • Sembiring, Hasil. Indonesia M.S. 1993
  • Jojola, Michael E. USA M.S. 1994
  • Ascencio, Edgar Noel. El Salvador Ph.D. 1995
  • Kanampiu, Fred Kenya Ph.D. 1995
  • Gavi-Reyes, Francisco Mexico Ph.D. 1995
  • Ball, Jeff B. USA M.S. 1995
  • Phillips, Steven B. USA M.S. 1995
  • Taylor, Shannon L. USA M.S. 1996
  • Chen, Jing China M.S. 1997
  • Keahey, Dale, Alan. USA M.S. 1997
  • Lees, Heather, L. USA M.S. 1997
  • Sembiring, Hasil Indonesia Ph.D. 1997
  • Thomason, Wade USA M.S. 1998
  • Lukina, Erna V. Uzbekistan M.S. 1998
  • LaRuffa, Joanne M. USA M.S. 1999

37 Completed Degrees
10 Current Graduate Students
10
ExtensionField Days
Cherokee, OK, Feb 2004Ponca City, OK, Feb
2004Efaw, Feb 2004Covington, Mar 2004
11
Field trials
  • 10 trials using 60-ft boom sensor-applicator.
  • Web site.
  • http//www.nue.okstate.edu

12
CCA Extension Workshops
  • 1998, 2000, 2002, 2004

13
Teaching
  • Soil Plant Nutrient Cycling and Environmental
    Quality (graduate students)
  • Precision Agriculture (undergraduate and graduate
    students)
  • Soil Nutrient Management (undergraduate and
    graduate students)

Fall, even years
Spring, every year
Fall, every year
14
Research Focus
4 Approaches for Increased NUE Sensor based
(temporal and spatial) VRT applicator Sensor
based (temporal) GreenSeeker Hand-Held Sensor
Based N Rate Calculator (Hand-Held) Automated
Calibration Stamp, N Rich Strip
15
Potash Phosphate Institute
Predicting nutrient removal
16
NDVI at F5

INSEY
Days from planting to sensing, GDDgt0
Winter Wheat
Units N uptake, kg ha-1 day-1 GDDgt0
17
By Plant N Management
18
CORN
19
Yield Prediction Equations
20
By Plant Yield Differences
21
Kyle Freeman
22
Kyle Freeman, Kent Martin, Roger Teal, Brian
Arnall
23
Brian Arnall
CV from NDVI Readings
24
NDVI 0.4CV ?
NDVI 0.4CV ?
25
Response Indexvariable from year to year in the
same field
2004 RI 1.7
1995 RI 1.2
Long term N-P-K Experiments(1969-2004) Dr. Billy
Tucker
26
Response to Fertilizer NLong-Term Wheat
ExperimentLahoma, OK 1970-2003
G. V. Johnson, R.L. Westerman, B. Tucker
27
Response to Fertilizer N
Response to Fertilizer N
Long-Term Corn Experiment
Mead, NE, 1969
-
1983
Mead, NE, 1969
-
1983
Prof. R.A. Olson
Prof. R.A. Olson
28
CalibrationStamp
29
lb N / acre
80
0
0
20
100
60
0
40
0
Blue Dye, 30 ml L-1
30
Pumpless pressurized spray system19L auxiliary
air tank11.3L Spartanburg stainless steel
tankProgrammable logic controllerRemcor
solenoid valves
Automated Calibration Stamp
31
Winter WheatCalibration Stamp applied in
DecemberVisual Interpretation in March
32
December
CalibrationStamp
March
33
http//www.soiltesting.okstate.edu/SBNRC/SBNRC.php

www.nue.okstate.edu
34
N Rich Strip (J. Lawles, S. Reed)NTech
Industrieswww.ntechindustries.com
35
gt15 readings 0.4m2 /- 0.005
36
  • Current Thinking

37
RI-CV
38
  • Current Research
  • CV from NDVI readings (plant stand)
  • Plant Height, measured with sonar
  • Biomass (NDVI) times Height (Sonar)
  • Improved mid-season yield prediction
  • Variable RI (estimated using NDVI)
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