首页|Optimization of sample unit size for sampling stink bugs (Hemiptera: Pentatomidae) in soybean

Optimization of sample unit size for sampling stink bugs (Hemiptera: Pentatomidae) in soybean

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  • NSTL
  • Elsevier
? 2022 Elsevier LtdCost-effective and reliable sampling procedures are crucial for integrated pest management. Sweep net sampling is commonly used for stink bugs (Hemiptera: Pentatomidae) in soybean, with sample size being the number of sets of sweeps, and sample unit size the number of sweeps in each set. Sample unit size has received little attention, but can affect sampling parameters. Here, two sample unit sizes (10 vs. 25 sweeps) were compared for the sampling of stink bug taxa. On average, sampling for stink bugs took 3.6 more minutes with the 25-sweep than with the 10-sweep sample unit size. Generally, estimates of the mean number of stink bugs per sweep were similar between the two sample unit sizes for Euschistus spp. and Chinavia hilaris combined (“combined herbivores”) and Euschistus spp. The 25-sweep sample unit size had a higher probability of detecting combined herbivores, Euschistus spp. and Podisus spp., lower standard errors and relative variance for combined herbivores and Euschistus spp., lower standard errors for C. hilaris, and higher relative net precision [which accounts for sampling cost (i.e., time)] for combined herbivores and Euschistus spp. Taken together, the better probability of detection, precision and efficiency of the 25-sweep sample unit size support the continued use of sampling plans developed for that sample unit size. The optimization of sample unit sizes is an important factor that should be accounted for in the development of sampling plans.

EfficiencyIPMPrecisionSpatial pattern

Pezzini D.T.、DiFonzo C.D.、Hunt T.E.、Knodel J.J.、Krupke C.H.、Marchi-Werle L.、Michel A.P.、Seiter N.J.、Wright R.J.、Ribeiro A.V.、Aita R.C.、Hutchison W.D.、Koch R.L.

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Department of Entomology and Plant Pathology North Carolina State University

Department of Entomology Michigan State University

Haskell Agricultural Laboratory Department of Entomology University of Nebraska

Department of Plant Pathology Extension Entomology North Dakota State University

Department of Entomology Purdue University

Department of Agronomy University of Wisconsin

Department of Entomology Ohio Agricultural Research and Development Center The Ohio State University

Department of Crop Sciences University of Illinois

Department of Entomology University of Nebraska–Lincoln

Department of Entomology University of Minnesota

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2022

10.1016/j.cropro.2022.105986

Crop Protection

Crop Protection

SCI
ISSN：0261-2194
年,卷(期)：2022.157
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