Presence-Absence Sampling Plans for Stink Bugs (Hemiptera: Pentatomidae) in the Midwest Region of the United States

Authors

Rafael Carlesso Aita, University of Minnesota Twin Cities
Daniela T. Pezzini, NC State University
Eric C. Burkness, University of Minnesota Twin Cities
Christina D. Difonzo, Michigan State University
Deborah L. Finke, University of Missouri
Thomas E. Hunt, Eastern Nebraska Research & Extension - Northeast DistrictFollow
Janet J. Knodel, North Dakota State University
Christian H. Krupke, Purdue University
Lia Marchi-Werle, University of Wisconsin-Madison
Brian McCornack, Kansas State University
Andrew P. Michel, Ohio Agricultural Research and Development Center
Christopher R. Philips, Virginia Polytechnic Institute and State University
Nicholas J. Seiter, University of Illinois Urbana-Champaign
Adam J. Varenhorst, South Dakota State University
Robert J. Wright, University of NebraskaFollow
William D. Hutchison, University of Minnesota Twin Cities
Robert L. Koch, University of Minnesota Twin CitiesFollow

ORCID IDs

Rafael Carlesso Aita https://orcid.org/0000-0002-9347-0196

Andrew P. Michel https://orcid.org/0000-0002-2953-9187

Nicholas J. Seiter https://orcid.org/0000-0003-0557-265X

Robert L. Koch https://orcid.org/0000-0002-4853-3573

Document Type

Article

Date of this Version

6-1-2021

Citation

Published in Journal of Economic Entomology, 114:3 (2021), pp 1362–1372.

doi: 10.1093/jee/toab076

Comments

Copyright © 2021 by the authors. Published by Oxford University Press on behalf of Entomological Society of America. Used by permission.

Abstract

Stink bugs represent an increasing risk to soybean production in the Midwest region of the United States. The current sampling protocol for stink bugs in this region is tailored for population density estimation and thus is more relevant to research purposes. A practical decision-making framework with more efficient sampling effort for management of herbivorous stink bugs is needed. Therefore, a binomial sequential sampling plan was developed for herbivorous stink bugs in the Midwest region. A total of 146 soybean fields were sampled across 11 states using sweep nets in 2016, 2017, and 2018. The binomial sequential sampling plans were developed using combinations of five tally thresholds at two proportion infested action thresholds to identify those that provided the best sampling outcomes. Final assessment of the operating characteristic curves for each plan indicated that a tally threshold of 3 stink bugs per 25 sweeps, and proportion infested action thresholds of 0.75 and 0.95 corresponding to the action thresholds of 5 and 10 stink bugs per 25 sweeps, provided the optimal balance between highest probability of correct decisions (≥ 99%) and lowest probability of incorrect decisions (≤ 1%). In addition, the average sample size for both plans (18 and 12 sets of 25 sweeps, respectively) was lower than that for the other proposed plans. The binomial sequential sampling plan can reduce the number of sample units required to achieve a management decision, which is important because it can potentially reduce risk/cost of management for stink bugs in soybean in this region.