Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-06-03T12:27:55.440Z Has data issue: false hasContentIssue false
  • English
  • Français

Sequential sampling protocols for Spodoptera frugiperda (Lepidoptera: Noctuidae), on Zea mays fields: influence of sampling unit size

Published online by Cambridge University Press:  09 March 2007

G.V. Serra  and
E.V. Trumper
G.V. Serra
Affiliation:
Cátedra de Zoología Agrícola, Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Av. Valparaíso s/n, 5000 Córdoba, Argentina
E.V. Trumper*
Affiliation:
Sección Entomología, Instituto Nacional de Tecnología Agropecuaria – Estación Experimental Agropecuaria Manfredi, Ruta Nacional 9, Km 636, 5988 Manfredi, Argentina
*
*Fax: 54 3572 493061 E-mail: entomomanfre@correo.inta.gov.ar
Get access Rights & Permissions [Opens in a new window]

Abstract

Spodoptera frugiperda (J.E. Smith) is a major pest in maize fields in Argentina. However, a sampling method that accounts for spatial pattern and allows reliable pest density estimations is still lacking. This paper addresses the issue of how sampling unit size can influence the characterization of S. frugiperda spatial pattern and the performance of sampling plans. An intensive sampling programme for S. frugiperda larvae was carried out in maize fields from October until March in four growing seasons. On each sampling date, 12 to 20 sampling units were taken at random. Each unit consisted of 1, 2, 4, 6, 8, 10 or 12 consecutive plants along a row. The linearized version of the Taylor's power law (TPL) was fitted to mean and variance estimated for each sampling date and data set through least squares regression. In general, b values from TPL were significantly >1 (P<0.05), indicating an aggregated sampling distribution. Regression slopes (b) ranged from 1.28 to 1.48 in small larvae and from 1.06 to 1.24 in large larvae, indicating stronger clumping in the former. TPL parameters were used to develop constant precision sampling plans. The efficiency of these plans in terms of expected total cost (searching and handling sampling units) was very sensitive to the size of the sampling units with small larvae but not with large larvae. The influence of sampling unit size and spatial pattern on TPL parameters and sampling costs is discussed.

Keywords

sequential estimationsampling effortTaylor's power lawspatial patternGreen's model
Type
Research Article
Information
Bulletin of Entomological Research , Volume 96 , Issue 5 , October 2006 , pp. 471 - 477
Copyright
Copyright © Cambridge University Press 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abel, C.A., Wilson, R.L., Wiseman, B.R., White, W.H. & Davis, F.M. (2000) Conventional resistance of experimental maize lines to corn earworm (Lepidoptera: Noctuidae), fall armyworm (Lepidoptera: Noctuidae), southwestern corn borer (Lepidoptera: Crambidae), and sugarcane borer (Lepidoptera: Crambidae). Journal of Economic Entomology 93, 982–988.CrossRefGoogle ScholarPubMed
Binns, M.R. & Nyrop, J.P. (1992) Sampling insect populations for the purpose of IPM decision making. Annual Review of Entomology 37, 427–453.CrossRefGoogle Scholar
Binns, M.R., Nyrop, J.P. & van der Werf, W. (2000) Sampling and monitoring in crop protection. The theoretical basis for developing practical decision guides. 284 pp. Wallingford, Oxon, CAB International.CrossRefGoogle Scholar
Buntin, G.D. (1994) Developing a primary sampling program. pp. 99–115 in Pedigo, L.P. & Buntin, G.D. (Eds) Handbook of sampling methods for arthropods in agriculture. Boca Ratón, Florida, CRC Press.Google Scholar
Costilla, M.A. & Mercado, D. (1968) La oruga variada Laphygma frugiperda (S. y A.) (Noctuidae) y su importancia en los cultivos de Tucumán. Boletín, Estación Experimental Agrícola de Tucumán, 107.Google Scholar
Davis, P.M. (1994) Statistics for describing populations. pp. 33–54 in Pedigo, L.P. & Buntin, G.D. (Eds)Handbook of sampling methods for arthropods in agriculture. Boca Ratón, Florida, CRC Press.Google Scholar
DeFina, A.L., Giannetto, F., Sabella, L.J. & Villanueva, L.C. (1966) Difusión geográfica de cultivos en la provincia de Cordoba y sus causas. Instituto de Suelos y Agrotecnia, INTA, Publicación no. 102.Google Scholar
Downing, J.A. (1986) Spatial heterogeneity: evolved behavior or mathematical artifact. Nature 323, 255–257.CrossRefGoogle Scholar
Draper, N.R. & Smith, H. (1998) Applied regression analysis. 706 pp. New York, Wiley Interscience.CrossRefGoogle Scholar
Escribano, A., Williams, T., Goulson, D., Cave, R.D., Chapman, J.D. & Caballero, P. (1999) Selection of a nucleopolyhedrovirus for control of Spodoptera frugiperda (Lepidoptera: Noctuidae): structural, genetic, and biological comparison of four isolates from the Americas. Journal of Economic Entomology 92, 1079–1085.CrossRefGoogle ScholarPubMed
Farias, S.P.R., Barbosa, J.C. & Busoli, A.C. (2001a) Amostragem seqüencial com base na Lei de Taylor para levantamento de S podoptera frugiperda na cultura do milho. Scientia Agricola 582, 395–399.CrossRefGoogle Scholar
Farias, S.P.R., Barbosa, J.C. & Busoli, A.C. (2001b) Distribuição espacial da Lagarta-do-Cartucho, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), na cultura do milho. Neotropical Entomology 30, 681–689.CrossRefGoogle Scholar
Ghidiu, G.M. & Andaloro, J.T. (1993) The relationship between fall armyworm (Lepidoptera: Noctuidae) instar and susceptibility to insecticides applied to sweet corn. Florida Entomologist 76, 549–555.CrossRefGoogle Scholar
Gray, M.E. & Luckman, W.H. (1994) Integrating the cropping system for corn insect pest management. pp. 507–541 in Metcalf, R.L. & Luckman, W.H. (Eds). Introduction to insect pest management.New York, John Wiley & Sons.Google Scholar
Greco, N. (1991) Disposición espacial y número de generaciones de Spodoptera frugiperda (Lepidoptera: Noctuidae) en el cultivo de maiz. Neotropica 37, 151–157.Google Scholar
InfostatúProfesional 1.1. (2001) Infostat/Profesional 1.1. Grupo Infostat, Estadística y Diseño, Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba.Google Scholar
Jones, V.P. (1991) Binomial sampling plans for tentiform leafminer (Lepidotera: Gracillaridae) on apple in Utah. Journal of Economic Entomology 84, 484–488.CrossRefGoogle Scholar
Kogan, M. & Herzog, D.C. (1980) Sampling methods in soybean entomology. 587 pp. New York, Springer.CrossRefGoogle Scholar
Labatte, J.M. (1994) Modelling the larval development of Spodoptera frugiperda (J.E. Smith), (Lep., Noctuidae) on corn. Journal of Applied Entomology 118, 172–178.CrossRefGoogle Scholar
Leiva, P.D. & Iannone, N. (1994) Manejo de insectos plaga del cultivo del maíz. Pergamino, INTA.Google Scholar
Mitchell, F.L & Fuxa, J.R. (1987) Distribution, abundance and sampling of fall armyworm (Lepidoptera: Noctuidae) in south-central Lousiana cornfields. Environmental Entomology 16, 453–458.CrossRefGoogle Scholar
Naranjo, S.E & Flint, H.M. (1995) Spatial distribution of adult Bemisia tabaci (Homoptera: Aleyrodidae) in cotton and development and validation of fixed-precision sampling plans for estimating population density. Environmental Entomology 24, 261–270.CrossRefGoogle Scholar
O'Neil, R.J., Andrews, K.L., Barfield, C.S. & Sobrado, C.E. (1989) Sampling program for fall armyworm in maize. Journal of Economic Entomology 82, 134–138.CrossRefGoogle Scholar
Pedigo, L.P. & Buntin, G.D. (1994) Handbook of sampling methods for arthropods in agriculture. 714 pp. Boca Ratón, Florida, CRC Press.Google Scholar
Pedigo, L.P. & Zeiss, M.R. (1996) Analyses in insect ecology and management. 168 pp. Ames, Iowa Iowa State University Press.Google Scholar
Perry, J. (1997) Statistical aspects of field experiments. pp. 171–201 in Dent, D.R. & Walton, M.P. (Eds)Methods in ecological and agricultural entomology. Wallingford, Oxon, CAB International.Google Scholar
Reis, L.L., Jacob, L. & Cruz, I. (1998) Biology and potential of Doru luteipes for the control of Spodoptera frugiperda. Pesquisa Agropecuaria Brasileira 23, 333–342.Google Scholar
Ritchie, S.W. & Hanway, J.J. (1993) How a corn plant develops. Iowa State University of Science and Technology, Cooperative Extension Service Ames, Iowa. Special Report no. 48.Google Scholar
Ruesink, W.G. & Kogan, M. (1994) The quantitative basis of pest management; sampling and measuring. pp. 355–391 in Metcalf, R.L. & Luckman, W.H. (Eds)Introduction to insect pest management. New York, John Wiley & Sons.Google Scholar
Sawyer, A.J. (1989) Inconsistency of Taylor's b: simulated sampling with different quadrat sizes and spatial distributions. Researches on Population Ecology 31, 11–24.CrossRefGoogle Scholar
Sétamou, M., Schulthess, F., Poehling, H.M. & Borgemeister, C. (2000) Spatial distribution of and sampling plans for Mussidia nigrivenella (Lepidoptera: Pyralidae) on cultivated and wild host plants in Benin. Environmental Entomology 29, 1216–1225.CrossRefGoogle Scholar
Southwood, T.R.E. (1978) Ecological mhods, with particular reference to the study of insect populations. 2nd edn. 524 pp. London, Chapman & Hall.Google Scholar
Taylor, L.R. (1984) Assessing and interpreting the spatial distributions of insect populations. Annual Review of Entomology 29, 321–357.CrossRefGoogle Scholar
Williams, T., Cisneros, J., Penagos, D.I., Valle, J. & Tamez-Guerra, P. (2004) Ultralow rates of spinosad in phagostimulant granules provide control of Spodoptera frugiperda (Lepidoptera: Noctuidae) in maize. Journal of Economic Entomology 97, 422–428.CrossRefGoogle ScholarPubMed
Willink, E., Osores, V.M. & Costilla, M.A. (1991) El gusano cogollero del maíz. Avance agroindustrial.Google Scholar
Willink, E., Osores, V.M. & Costilla, M.A. (1994) Ataque de Spodoptera frugiperda (Lepidoptera: Noctuidae) en diferentes fechas de siembra del maíz en Tucum´n. Revista Industrial y Agrícola de Tucum´n 71, 69–72.Google Scholar
Wilson, L.T. (1994) Estimating abundance, impact, and interactions among arthropods in cotton agroecosystems. pp. 475–51 in Pedigo, L.P. & Buntin, G.D. (Eds) Handbook of sampling methods for arthropods in agriculture. CRC Press, Florida, Boca Ratón.Google Scholar
Young, L.J. & Young, J.H. (1998) Statistical ecology. A population perspective. 565 pp. Boston, Kluwer Academic Publishers.Google Scholar