Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-18T12:20:00.071Z Has data issue: false hasContentIssue false

Effect of weedy culture on population densities, spatial distributions and sampling procedures of Spodoptera exigua and Sesamia cretica (Lep., Noctuidae) in corn fields

Published online by Cambridge University Press:  13 June 2019

N. Dinarvand
Affiliation:
Department of Plant Protection, Faculty of Agriculture, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Ahvaz, Iran
A. Rajabpour*
Affiliation:
Department of Plant Protection, Faculty of Agriculture, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Ahvaz, Iran
N. Zandi Sohani
Affiliation:
Department of Plant Protection, Faculty of Agriculture, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Ahvaz, Iran
M. Farkhari
Affiliation:
Department of Plant Productions and Genetics, Faculty of Agriculture, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Ahvaz, Iran
*
*Author for correspondence Phone: +98-61-36522072 Fax: +98-613-6522425 E-mail: [email protected]

Abstract

Spodoptera exigua Hübner and Sesamia cretica Led. (Lep., Noctuidae) are two important pests of corn. In this study, the effect of weed bands in the corn field, as weedy culture, on population density and damages of the pests were evaluated during two growing seasons (2016/2017). Cumulative insect days (CID) of each lepidopteran pest in weedy culture were compared with non-weedy culture. Results showed that CIDs of S. exigua and S. cretica in the non-weedy corn culture were significantly higher than the weedy corn culture. There was no significant difference between the total yield in the weedy and non-weedy cultures. Also, determinations of spatial distributions of the pests in the weedy and no-weedy treatments using Taylor's power law (TPL) and Iwao's patchiness (IP) showed that TPL provides a better fit for the data than IP and spatial distributions of both pests on both cultures were aggregative. Moreover, minor differences were observed between spatial distribution parameters of the pests in the weedy and non-weedy cultures. Green's model was used for developing a fixed-precision sequential sampling plan of the pests on the weedy and no-weedy treatments. Optimum sample sizes of S. exigua ranged from 532 to 5370 and 428 to 5296 plants and S. cretica varied from 297 to 2040 and 43 to 186 plants in the non-weedy and weedy cultures based on the desired precision level (0.25–0.1). Estimated stop lines of non-weedy and weedy cultures for S. exigua ranged from 0.000057 to 52.59 and 0.00029 to 58.87 and for S. cretica ranged from 1.59 to 111.5 and 2.09 to 98.03 larval cumulative numbers, respectively (0.25–0.1). The performance of the sampling plan was validated by resampling analysis using RVSP software. Results of the study can be used in the integrated pest management program of corn fields.

Type
Research Paper
Copyright
Copyright © Cambridge University Press 2019 

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

Abate, T. (1991) Intercropping and weeding: effects on some natural enemies of African bollworm, Heliothis armigera (Hbn.)(Lep., Noctuidae), in bean fields. Journal of Applied Entomology 112(1–5), 3842.Google Scholar
Altieri, M.A., Van Schoonhoven, A. & Doll, J. (1977) The ecological role of weeds in insect pest management systems: a review illustrated by bean (Phaseolus vulgaris) cropping systems. Pans 23(2), 195205.Google Scholar
Andow, D.A. (1991) Yield loss to arthropods in vegetationally diverse agroecosystems. Environmental Entomology 20(5), 12281235.Google Scholar
Banks, J.E. (2000) Effects of weedy field margins on Myzus persicae (Hemiptera: Aphididae) in a broccoli agroecosystem. Pan-Pacific Entomology 76(2), 95101.Google Scholar
Binns, M.R. (1994) Sequential sampling for classifying pest status. pp. 137174 in Pedigo, L.P. & Buntin, G.D. (Eds) Handbook of Sampling Methods for Arthropods in Agriculture. Buca Raton, Florida, CRC.Google Scholar
Buntin, G.D. (1994) Developing a primary sampling program. pp 99115. in Pedigo, L.P. & Buntin, G.D. (Eds) Handbook of Sampling Methods for Arthropods in Agriculture. Boca Raton, Florida, CRC Press.Google Scholar
Cordero, A., Malvar, R.A., Butrón, A., Revilla, P., Velasco, P. & Ordás, A. (1998) Population dynamics and life-cycle of corn borers in south Atlantic European coast. Maydica 43, 512.Google Scholar
East, D.A., Edelson, J.V. & Cartwright, B. (1989) Relative cabbage consumption by the cabbage looper (Lepidoptera: Noctuidae), beet armyworm (Lepidoptera: Noctuidae), and diamond back moth (Lepidoptera: Plutellidae). Journal of Economic Entomology 82, 13671369.Google Scholar
Engelken, L.K., Showers, W.B. & Taylor, E.S. (1990) Weed management to minimize black cutworm (Lepidoptera: Noctuidae) damage in no-till corn. Journal of Economic Entomology 83(3), 10581063.Google Scholar
Ezzeldin, H.A., Sallam, A.A.A., Helal, T.Y. & Fouad, H.A. (2009) Effect of some materials on Sesamia cretica infesting some maize and sorghum varieties. Archives in Phytopathology and Plant Protection 42(3), 277290.Google Scholar
Fernandez, M.G., Spesspoto, R.R., Degrande, P.E. & Rodrigues, T.R. (2011) Sequential sampling of Aphis gossypii Glover (Hemiptera: Aphididae) and Freankliniell aschultzei Trymbom (Thysanopter:Thripidae) on cotton crop. Neotropical Entomology 40(2), 258263.Google Scholar
Gounou, S. & Schulthess, F. (2004) Spatial distribution of lepidopterous stem borers on indigenous host plants in West Africa and its implications for sampling schemes. African Entomology 12(2): 171178.Google Scholar
Hooks, C.R., Valenzuela, H.R. & Defrank, J. (1998) Incidence of pests and arthropod natural enemies in zucchini grown with living mulches. Agricultural Ecosystem and Environment 69(3), 217231.Google Scholar
Kafeshani, F.A., Rajabpour, A., Aghajanzadeh, S., Gholamian, E. & Farkhari, M. (2018) Spatial distribution and sampling plans with fixed level of precision for citrus aphids (Hom., Aphididae) on two orange species. Journal of Economic Entomology 111(2), 931941.Google Scholar
Kapatos, E.T., Stratopoulou, E.T., Sahinoglu, A., Tsitsipis, J.A. & Lycouresis, D.P. (1996) Development of an optimum sampling plan for population of Aphis gossypii (Hom., Aphididae) on cotton in Greece. Journal of Applied Entomology 120, 14.Google Scholar
Kogan, M. & Herzog, D.C. (2012) Sampling Methods in Soybean Entomology. Springer, NY.Google Scholar
Kouame, K.L. (1995) Seasonal abundance of the two maize stem borers Sesamia calamistis and Eldana saccharina and bionomics of the Sesamia egg parasite, Telenomus busseolae (Doctoral dissertation, Theses (Dept. of Biological Sciences)/Simon Fraser University).Google Scholar
Laub, C.A. & Luna, J.M. (1991) Influence of winter cover crop suppression practices on seasonal abundance of armyworm (Lepidoptera: Noctuidae), cover crop regrowth, and yield in no-till corn. Environmental Entomology 20(2), 749754.Google Scholar
Lundgren, J.G. & Fergen, J.K. (2010) The effects of a winter cover crop on Diabrotica virgifera (Coleoptera: Chrysomelidae) populations and beneficial arthropod communities in no-till maize. Environmental Entomology 39(6), 18161828.Google Scholar
Mardani-Talaee, M., Nouri-Ganbalani, G., Naseri, B., Hassanpour, M., Mottaghinia, L. & Mansouri, S.M. (2016) Comparative life table parameters of the Spodoptera exigua (Hübner)(Lepidoptera: Noctuidae) on corn hybrids under laboratory conditions. Journal of Entomological Society of Iran 35(4), 1727.Google Scholar
Mitchell, F.L. & Fuxa, J.R. (1987) Distribution, abundance, and sampling of fall armyworm (Lepidoptera: Noctuidae) in South-central Louisiana cornfields. Environmental Entomology 16(2), 453458.Google Scholar
Moyal, P., El-Said, M.M. & Mosad, M.M. (2002) Spatio-temporal distribution and enumerative sampling of the pink borer, Sesamia cretica Led.(Lepidoptera: Noctuidae), in maize fields in Egypt. International Journal of Tropical Insect Science 22(1), 2940.Google Scholar
Namvar, P., Safaralizadeh, M.H., Baniameri, V., Pourmirza, A.A. & Karimzadeh, J. (2012) Estimation of larval density of Liriomyza sativae Blanchard (Diptera: Agromyzidae) in cucumber greenhouses using fixed precision sequential sampling plans. African Journal of Biotechnology 11(9), 23812388.Google Scholar
Naranjo, S.E. & Hutchison, W.D. (1997) Validation of arthropod sampling plans using a resampling approach: software and analysis. American Entomology 43, 4857.Google Scholar
O'Rourke, P.K. & Hutchison, W.D. (2003) Sequential sampling plans for estimating European corn borer (Lepidoptera: Crambidae) and corn earworm (Lepidoptera: Noctuidae) larval density in sweet corn ears. Crop Protection 22(7), 903909.Google Scholar
Pedigo, L.P. (2002) Entomology and Pest Management. 4th edn. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Prasifka, J.R., Schmidt, N.P., Kohler, K.A., O'neal, M.E., Hellmich, R.L. & Singer, J.W. (2006) Effects of living mulches on predator abundance and sentinel prey in a corn–soybean–forage rotation. Environmental Entomology 35(5), 14231431.Google Scholar
Rajabpour, A. & Yarahmadi, F. (2012) Seasonal population dynamics, spatial distribution and parasitism of Aphis gossypii on Hibiscus rosa-chinensis in Khuzestan, Iran. Journal of Entomology 9, 163170.Google Scholar
Ruppel, R.F. (1983) Cumulative insect-days as an index of crop protection. Journal of Economic Entomology 76, 375377.Google Scholar
Schellhorn, N.A. & Sork, V.L. (1997) The impact of weed diversity on insect population dynamics and crop yield in collards, Brassica oleraceae (Brassicaceae). Oecologia 111(2), 233240.Google Scholar
Sedaratian, A., Fathipour, Y., Talebi, A.A. & Farahani, S. (2010) Population density and spatial distribution pattern of Thrips tabaci (Thysanoptera: Thripidae) on different soybean varieties. Journal of Agricultural Science and Technology 12, 275288.Google Scholar
Serra, G.V. & Trumper, E.V. (2006) Sequential sampling protocols for Spodoptera frugiperda (Lepidoptera: Noctuidae), on Zea mays fields: influence of sampling unit size. Bulletin of Entomological Research 96(5), 471477.Google Scholar
Shahbi, M. & Rajabpour, A. (2017) A fixed-precision sequential sampling plan for the potato tuberworm moth, Phthorimaea operculella Zeller (Lepidoptera: Gelechidae), on potato cultivars. Neotropical Entomology 46(4), 388395.Google Scholar
Snedecor, G.W. (1980) Cochran WG, Statistical Methods. Ames, USA, Iowa State University Press.Google Scholar
Sokal, R.R. & Rohlf, F.J. (1995) Linear Regression, in Biometry: The Principles and Practice of Statistics in Biological Research. 3rd edn. New York: W. H. Freeman.Google Scholar
Southwood, T.R.E. (1978) Ecological Methods with Particular Reference to the Study of Insect Populations. New York, USA, John Wiely and Sons.Google Scholar
Tuan, S.J., Li, N.J., Yeh, C.C., Tang, L.C. & Chi, H. (2014) Effects of green manure cover crops on Spodoptera litura (Lepidoptera: Noctuidae) populations. Journal of Economic Entomology 107(3), 897905.Google Scholar
Wilson, J.W. (1932) Notes on the biology of Laphygma exigua Hubner. Florida Entomologica Society 16, 3339.Google Scholar
Yaghubi, M., Askarianzadeh, A.R. & Abbasipour, H. (2015) Effect of temperature and photoperiod on reproductive behavior of corn stem borer, Sesamia cretica (Lederer, 1857) (Lep.: Noctuidae). Journal of Entomological Society of Iran 35(3), 110.Google Scholar
Yarahmadi, F. & Rajabpour, A. (2013) Seasonal dynamics and spatial distribution of Eutetranychus orientalis (Acarina: Tetranychidae) on Albizia lebbeck (Fabaceae) in parks in Ahwaz, southwest Iran. International Journal of Tropical Insect Science 33(2), 114119.Google Scholar