Journal of Economic Entomology
Published by: Entomological Society of America
Journal of Economic Entomology 97(3):1003-1008. 2004
doi: 10.1603/0022-0493(2004)097[1003:BSSPFL]2.0.CO;2
Binomial Sequential Sampling Plans for Late Instars of European Corn Borer (Lepidoptera: Crambidae), Corn Earworm (Lepidoptera: Noctuidae), and Damaged Kernels in Sweet Corn Ears


Department of Entomology, University of Minnesota, 1980 Folwell Avenue, St. Paul, Minnesota 55108–6125
Abstract
Late-season infestations of European corn borer, Ostrinia nubilalis (Hübner), and corn earworm, Helicoverpa zea (Boddie), were sampled to develop binomial sequential sampling plans for larval infestations and damaged kernels in sweet corn, Zea mays L., ears, near harvest. Fields were sampled to obtain a range of larval densities likely to be encountered over a range of infestation levels and field conditions. Binomial sampling plans were developed for O. nubilalis larvae, H. zea larvae, O. nubilalis, and H. zea larvae combined, and for damaged sweet corn kernels. Observed densities ranged from 0.01 to 4.40 larvae per ear for O. nubilalis, 0.005–1.62 larvae per ear for H. zea, and 0.004–36.12 damaged kernels per ear. Results of resampling analyses, based on the proportion of ears infested with one or more larvae, or damaged kernels, indicated an average sample size of 34–37 ears was necessary to classify whether larval infestations, or the incidence of damaged kernels, exceeded 5%. Two operating characteristic curves are presented for each of the four sampling plans. Initial results, with upper bounds of 0.10, and α (type I) and β (type II) error rates at 0.10 and 0.05, respectively, resulted in a 90% probability of making the correct management decision at infestation levels >10%. To improve performance of the sampling plans, we modified the binomial plans by reducing the upper bound to 0.075, while maintaining the same error rates. This plan resulted in a higher probability (>95%) of making the correct management decision to reject a sweet corn load when infestation levels are >10%.
Received: September 10, 2003; Accepted: March 29, 2004
References
and
. On-farm efficacy of aerially applied Bacillus thuringiensis for European corn borer (Lepidoptera: Pyralidae) and corn earworm (Lepidoptera: Noctuidae) control in sweet corn. J. Econ. Entomol 1995. 88:380–386. CSA
and
. Comparison of pheromone trap designs for monitoring Z-strain European corn borer (Lepidoptera: Crambidae). J. Econ. Entomol 1998. 91:1349–1354. CSA
,
,
, and
. Effect of Bacillus thuringiensis application on European corn borer (Lepidoptera: Pyralidae) control in sweet corn. J. Entomol. Sci 1995. 30:374–389.
and
. Development and validation of a binomial sequential sampling plan for striped cucumber beetle (Coleoptera: Chrysomelidae) in cucurbits. J. Econ. Entomol 1997. 90:1590–1594. CSA
,
,
, and
. Binomial sequential sampling for management of aster leafhopper (Homoptera: Cicadellidae) and aster yellows phytoplasma in carrot impact of tally threshold on the accuracy of treatment decisions. Environ. Entomol 1999. 28:851–857.
,
, and
. Sweet corn. R. Foster B. Flood Vegetable insect management with emphasis on the Midwest 1995. 19-40. Meister Publishing Co. Willoughby, OH.
,
, and
. Insecticides used by Minnesota processors to control European corn borer and corn earworm in sweet corn. Univ. Minn. Ext. Serv. Folder FO-6322-B . 1993.
and
. Minnesota agricultural statistics 2002. 2002. Minn. Agric. Stat. Serv. St. Paul, MN.
and
. 2002. Annual production and value for major vegetable and fruit crops in Minnesota.http://pestmanagementcenter-mn.coafes.umn.edu/mnpiap/MN%20Production%20and%20Ag%20Stats.pdf.
,
, and
. Advances in United States sweet corn and snap bean insect pest management. R. Horowitz I. Ishaaya Insect pest management 2004. 247-278. Springer Berlin, Germany.
Sequential estimation and classification procedures for binomial counts. L. Pedigo G. Buntin Handbook of sampling methods for arthropods in agriculture 1994. 175-205. CRC Boca Raton, FL.
and
. Validation of arthropod sampling plans using a resampling approach software and analysis. Am. Entomol 1997. 43:48–57.
,
, and
. Estimated annual losses due to insects in Minnesota 1981–1983. Univ. Minn. AES AG-BU-2541 . 1985.
and
. 2003a. Insecticide use by midwest vegetable processors on sweet corn, green pea, snap bean, and pumpkin: 2001 field season. Minnesota Project of the North Central Pest Management Center Department of Entomology, University of Minnesota St. Paul, MN. http://pestmanagementcenter-mn.coafes.umn.edu/mnpiap/2001%20Processor%20Survey.pdf.
and
. Sequential sampling plans for estimating European corn borer (Lepidoptera: Crambidae) and corn earworm (Lepidoptera: Noctuidae) larval density in sweet corn ears. Crop Prot 2003b. 22:903–909. CrossRef
and
. Developmental delay and evidence for reduced cannibalism in corn earworm (Lepidoptera: Noctuidae) larvae feeding on transgenic Bt sweet corn. J. Entomol. Sci . (in press). 2004.
Management of Lepidoptera on processing sweet corn in western New York. J. Econ. Entomol 1986. 79:1658–1661. CSA
,
,
, and
. Pesticide use on fresh market vegetables in Minnesota 1993. Minn. Ext. Serv. AG-BU-6681-G . 1993.
Sequential analysis. 1947. Wiley New York. Fig. 1. OC function for the binomial sequential sampling plan by using a sample unit of one ear. Operating characteristic was plotted against proportion of sample ears infested with >1 larva per ear (A–C) or >1 damaged kernel (D). Proportion of ears infested was obtained from resampling software with α = 0.10, β = 0.05, action threshold of 0.05, minimum sample size of 25 ears, and tally threshold of 1. Predicted lines were fit to observed data by using the equation ln(y) = a + bx1.5. Two curves are represented on each figure, one showing a line using θ1 = 0.01, θ2 = 0.10 and one using θ1 = 0.01, θ2 = 0.075. For purposes of graphical clarity, the proportion of infested ears was limited to 0.30 rather than extended to 1.0 on the x-axis
Fig. 2. ASN function for the binomial sequential sampling plan by using a sample unit of one ear. Average sample number was plotted against proportion of sample ears infested with >1 larva per ear (A–C) or >1 damaged kernel (D). The average sample number was plotted against observed proportion infested obtained from resampling software with α = 0.10, β = 0.05, action threshold of 0.05, minimum sample size of 25 ears, and tally threshold of 1. Predicted lines were fit to observed data by using the equation [logistic] y = a + 4bn (1 + n)2 for all four sampling plans. For purposes of graphical clarity, the proportion of infested ears was limited to 0.20 rather than extended to 1.0 on the x-axis
Fig. 3. Decision stop lines for the pooled binomial sequential sampling plans based on resampling validation analyses for O. nubilalis or H. zea individually, O. nubilalis and H. zea combined, and damaged kernels. Sample unit is one ear, α = 0.10, β = 0.05, action threshold of 0.05, tally threshold of 1, and minimum sample size is 25 ears



