Wednesday, January 10, 2007: 1:30 PM-5:30 PM
Galeries 1, 2 & 3 (New Orleans Marriott)
Precision Cotton - Decision Aids to Site-specific Management
The complex and dynamic nature of the cotton crop makes it difficult to formulate sound management decisions. Decision aids in the form of computer programs, management systems, bioassays, sampling services, and other technological advances will serve an important and expanding role in meeting the challenges of crop management. The objective of this workshop is to showcase practical decision aids that are currently available and others that are near release. Developers and/or experienced users of these programs will be present to answer your questions and provide assistance as you gain hands-on experience with the latest management tools. Posters highlighting concepts and uses of the technology will also be on display. The demonstration area will be divided into four general sections: (1) use of the COTMAN(tm) crop management system, (2) irrigation and weather-based decision aids, (3) precision crop management tools, and (4) pest management programs.
Organizers:	Patricia O'Leary1, Edward M. Barnes1 and Bill Robertson2, (1)Cotton Incorporated, Cary, NC, (2)National Cotton Council, Cordova, TN
Part 1
		(1) Indicates a title that is submitted as an oral or a poster presentation in a technical conference
Part 2
		Site-specific Management
		Defining NDVI Zones for Late-season Cotton Management (1)  Joshua H. Temple1, Paul P. Price2 and B. Roger Leonard2, (1)LSU AgCenter, Baton Rouge, LA, (2)LSU AgCenter, Winnsboro, LA
		Geographic Information System Based Analytical Techniques to Identify High Zone Syndrome Potential in Cotton  Tim Sharp, Oklahoma State University, Okmulgee, OK
		In-season Cotton Management Using Real Time Sensors (1)  Randy Taylor1, J.C. Banks2, Shane Osborne2, Tim Sharp3, John Solie1 and Bill Raun1, (1)Oklahoma State University, Stillwater, OK, (2)Oklahoma State University, Altus, OK, (3)Oklahoma State University, Okmulgee, OK
		Canopy Reflectance Measurements to Assess Cotton Nitrogen Status  Kevin F. Bronson1, Adi Malapati1, Jason Nusz2 and Rajkumari Yabaji2, (1)Texas Agricultural Experiment Station, Lubbock, TX, (2)Texas Tech University, Lubbock, TX
		Using a Chlorophyll Meter to Predict Mid-season Nitrogen Fertilizer Rate for Cotton (1)  P. Scharf1, Gene Stevens2, Glenn Davis3, D.J. Dunn2 and Luciane F. Oliveira1, (1)University of Missouri-Columbia, Columbia, MO, (2)University of Missouri-Delta Center, Portageville, MO, (3)USDA-NRCS, Columbia, MO
		A Decision Tool for Evaluating Investment in Precision Technology  James A. Larson, Roland K. Roberts and Burton English, University of Tennessee, Knoxville, TN
		PAYVAC: Precision Agriculture Yield Variability Analyzer for Cotton  David Zilberman1, Jeanne Reeves2, Edward M. Barnes2 and Calvin Perry3, (1)University of California - Berkeley, Berkeley, CA, (2)Cotton Incorporated, Cary, NC, (3)University of Georgia - Tifton Campus, Tifton, GA
		Yield Variability in Conventional and Conservation Tillage (1)  Philip J. Bauer1, James R. Frederick2, Jeff M. Novak1, Warren J. Busscher1 and Sue Griggs2, (1)USDA-ARS, Florence, SC, (2)Clemson University, Florence, SC
		How to Use Yield Maps to Select COTMAN Sampling Locations  Stephen W. Searcy, Texas A&M University, College Station, TX
Part 3
		Irrigation Decision Aids
		Irrigation Investment Decision Aid  Kenneth Paxton, Louisiana State University, Baton Rouge, LA
		Daily Cotton Water Use: Accounting for Growth Stage and Weather  Ernie Clawson1, D.K. Fisher2, Alphonse B. Coco3, R. Hutchinson4 and John Hendrix3, (1)LSU Ag Center, St. Joseph, LA, (2)USDA-ARS, Stoneville, MS, (3)LSU AgCenter, St. Joseph, LA, (4)Lousiana State Univ. Agricultural Center, Winnsboro, LA
		A Web-based Irrigation Monitor for Cotton  Carlos J. Fernandez and T. Neal Trolinger, Texas A&M University, Corpus Christi, TX
		The Arkansas Scheduler Irrigation Scheduling Program  Joe Henggeler, University of Missouri - Delta Center, Portageville, MO and Phil Tacker, University of Arkansas, Little Rock, AR
		Farmer Friendly Irrigation Energy Spreadsheet Aids  Joe Henggeler, University of Missouri - Delta Center, Portageville, MO
		Irrigation Scheduling Methods  Ahmad Khalilian1, Will Henderson1, Young Han2 and Tom Owino2, (1)Clemson University, Blackville, SC, (2)Clemson University, Clemson, SC
		Using Emerging Technology to Schedule Irrigation  C. D. Perry, Mike Tucker and George Vellidis, University of Georgia - Tifton Campus, Tifton, GA
Part 4
		COTMAN
		Using Farm Records to Explore Insect Management Strategies (1)  K. C. Allen1, R. G. Luttrell1, Tina Gray Teague2 and Patricia F. O'Leary3, (1)University of Arkansas, Fayetteville, AR, (2)Arkansas State University - University of Arkansas Agricultural Experiment Station, State University, AR, (3)Cotton Incorporated, Cary, NC
		The Influence of COTMAN on the Arkansas Cotton Research Verification Program (1)  Frank E. Groves, University of Arkansas Cooperative Ext, Monticello, AR, W.C. Robertson, University of Arkansas Cooperative Ext, Little Rock, AR and Donald Plunkett, University of Arkansas, Division of Agriculture, Pine Bluff, AR
		Use of COTMAN in Cotton Compensation Studies in the Texas High Plains  Megha N. Parajulee, Apurba K. Barman and Chen Chen, Texas Agricultural Experiment Station, Lubbock, TX
		An Economic Survey: Comparing Harvest Aid Programs in Arkansas (1)  Robert Hogan, University of Arkansas, Cooperative Extension Service, Keiser, AR and William C. Robertson, University of Arkansas Cooperative Extension Service, Little Rock, AR
		Use of NDVI and COTMAN to Monitor Crop Maturity (1)  C.O. Gwathmey and Donald D. Tyler, University of Tennessee, Jackson, TN
		COTMAN Crop Termination Guidelines for End-of-season Decision Making for Insecticidal Control of Tarnished Plant Bug  Tina Gray Teague1, Diana M. Danforth2, Jennifer Lund1 and Twinkle Joan Sangepogudavid1, (1)Arkansas State University - University of Arkansas Agricultural Experiment Station, State University, AR, (2)University of Arkansas, Fayetteville, AR
		Validating Boll and Yield Tolerance to Cotton Pests in Louisiana (1)  K.D. Emfinger, B. Rogers Leonard and Padma Latha Bommireddy, LSU AgCenter, Macon Ridge Station, Winnsboro, LA
		Economic Impacts of Termination Timing for Irrigation and Plant Bug Control (1)  Juan Jose Monge1, Tina Gray Teague2, Mark J. Cochran1, Diana M. Danforth1, Jennifer Lund2 and Twinkle Joan Sangepogudavid2, (1)University of Arkansas, Fayetteville, AR, (2)Arkansas State University - University of Arkansas Agricultural Experiment Station, State University, AR
		Ambient or Internal Boll Temperatures to Calculate Heat Units for Timing Cotton Defoliation (1)  Derrick Oosterhuis, Evangelos Gonias and Androniki Bibi, University of Arkansas, Fayetteville, AR
		Defoliation Timing Based on Heat Units Beyond Cutout (1)  Jo Helms1, William C. Robertson1, Frank E. Groves2 and Robert Hogan3, (1)University of Arkansas, Division of Agriculture, Little Rock, AR, (2)University of Arkansas, Cooperative Extension Service, Monticello, AR, (3)University of Arkansas, Cooperative Extension Service, Keiser, AR
		Evaluation of Low Pressure Drip Irrigation in Cotton (1)  William C. Robertson1, Frank E. Groves2, Robert Hogan3, Leo Espinoza3, Mukhammadzakhrab Ismanov4 and Robin Franks5, (1)University of Arkansas, Cooperative Extension Service, Little Rock, AR, (2)University of Arkansas, Cooperative Extension Service, Monticello, AR, (3)University of Arkansas, Cooperative Extension Service, Keiser, AR, (4)Arkansas State University, Jonesboro, AR, (5)Netafim USA, Fresno, CA
		Utilization of COTMAN to Gauge Crop Development  William C. Robertson, University of Arkansas Cooperative Extension Service, Little Rock, AR and Diana M. Danforth, University of Arkansas, Fayetteville, AR
		COTMAN Field Guide  N. Ray Benson, Crop Monitoring Services, Inc., Manila, AR, William C. Robertson, University of Arkansas Cooperative Extension Service, Little Rock, AR, Tina Gray Teague, Arkansas State University - University of Arkansas Agricultural Experiment Station, State University, AR and Diana M. Danforth, University of Arkansas, Fayetteville, AR
		Overview of the COTMAN Crop Monitoring System  Diana M. Danforth, University of Arkansas, Fayetteville, AR, Patricia F. O'Leary, Cotton Incorporated, Cary, NC and William C. Robertson, University of Arkansas Cooperative Extension Service, Little Rock, AR
		Determining the Optimum Timing for the Final Drip Irrigation on Cotton Based on Crop Monitoring: West Texas  Warren L. Multer, Texas A&M University, Texas Cooperative Extension, Garden City, TX and C. G. Sansone, Texas Cooperative Extension, San Angelo, TX
		Evaluation of Stance as a Plant Growth Regulator in Irrigated Cotton in the Texas High Plains (1)  M. R. Vandiver1, Brant Baugh2, Mark S. Kelley2, R.K. Boman2, Aaron Alexander3 and William R. Perkins4, (1)Texas Cooperative Extension, Farwell, TX, (2)Texas Cooperative Extension, Lubbock, TX, (3)Texas Tech University, Lubbock, TX, (4)Bayer CropScience, Idalou, TX
		Evaluation of Seeding Rates in Irrigated Cotton on the Northwest Plains  Curtis D. Preston, Texas A&M University, Texas Cooperative Extension, Muleshoe, TX and M. R. Vandiver, Texas Cooperative Extension, Farwell, TX
Part 5
		Pest Management
		Putting Beneficial Insects to Work in Cotton Aphid Treatment Decisions (1)  Timothy J. Kring1, Gus M. Lorenz2 and Adam S. Chappell1, (1)University of Arkansas, Fayetteville, AR, (2)University of Arkansas, Little Rock, AR
		Developing a Decision-aid for the Use of Fungicides at Planting on Cotton  Craig S. Rothrock1, Patrick D. Colyer2 and Edward E. Gbur1, (1)University of Arkansas, Fayetteville, AR, (2)LSU AgCenter, Bossier City, LA
		Feasibility of Adult Feeding Disruption Tests (Fdt) for Monitoring Lepidopteran Resistance to Chemical Insecticides  J. B. van Kretschmar, J. R. Bradley, C. F. Stumpf and R. M. Roe, North Carolina State University, Raleigh, NC
		Interpreting Results from the Cotton Aphid Fungus Sampling Service  Donald C. Steinkraus and Jon Zawislak, University Of Arkansas, Fayetteville, AR
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