8890 Balancing Sample Size, Accuracy, and Time when Monitoring Stink Bug Damage

Thursday, January 8, 2009: 8:45 AM
Salon I (Marriott Rivercenter Hotel)
Michael D. Toews1, Eric L. Blinka2, Ames Herbert2, Jack Bacheler3, Sean Malone2, John Van Duyn4, Phillip M. Roberts1, Jeremy K. Greene5 and W. Don Shurley6, (1)University of Georgia, Tifton, GA, (2)Virginia Tech, Suffolk, VA, (3)North Carolina State University, Raleigh, NC, (4)North Carolina State University, Plymouth, NC, (5)Clemson University, Blackville, SC, (6)The University of Georgia, Tifton, GA
Whole field characterization of stink bug damage in cotton poses a significant challenge to crop consultants and growers.  While examining internal boll damage is accurate, it has not been widely adopted because of the significant time commitment.  An alternative sampling method, enumeration of external lesions, is faster but not as accurate.  This presentation will utilize inverse prediction confidence intervals to document how sample size and accuracy are related when classifying boll damage relative to a sampling threshold using the external method.