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The spatio-temporal pattern of Delphacodes kuscheli (Homoptera: Delphacidae) abundance in central Argentina

Published online by Cambridge University Press:  10 July 2009

Mariano P. Grilli  and
David E. Gorla
Mariano P. Grilli
Affiliation:
Laboratorio de Ecología de Insectos, Facultad de Ciencias Agropecuarias (Campo Experimental), Avda Valparaiso s/n, Ciudad Universitaria, 5000 Córdoba, Argentina
David E. Gorla
Affiliation:
Laboratorio de Ecología de Insectos, Facultad de Ciencias Agropecuarias (Campo Experimental), Avda Valparaiso s/n, Ciudad Universitaria, 5000 Córdoba, Argentina
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Abstract

Delphacodes kuscheli Fennah is the vector of maize rough dwarf virus, that affects maize production in central Argentina. The spatial and temporal abundance pattern of the insect vector was studied from October 1992 to November 1994, within endemic and non-endemic areas of the crop disease. Insect density was estimated every 7–15 days during spring and summer (maize season) or monthly during autumn and winter from high (6 m) and low (1.5 m) sticky traps placed at eight sampling stations along a 300 km transect. Each year, D. kuscheli density increased from October, peaked in December, to decrease afterwards and disappear in May. Density was lower in the nonendemic area and higher in the endemic one. The average absolute difference of density between sampling station pairs increased with the distance between the sampling stations (R2=0.85), and the correlation of density changes decreased with the distance between the sampling stations (R2=0.78), suggesting that the population dynamics were affected more by local than by regional factors. There was a significant correlation (with a 36 days lag) between the normalized difference vegetation index (NDVI) (calculated from 15 days maximum value composites images of NOAA-11 meteorological satellites) and D. kuscheli abundance. Based on this regression model, and using the time series of the satellite derived NDVI values, maps of the distribution and abundance of D. kuscheli within the study area for the spring and summer of 1992 were produced.

Type
Original Articles
Information
Bulletin of Entomological Research , Volume 87 , Issue 1 , February 1997 , pp. 45 - 53
Copyright
Copyright © Cambridge University Press 1997

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References

Eastman, J.R. (1994) Idrisi 4.1. User's Guide. 178 pp. Clark University. Worcester, Massachusetts.Google Scholar
Holben, B.N. (1986) Characteristics of maximum value composite images from temporal AVHRR data. International Journal of Remote Sensing, 7, 1417–1434.Google Scholar
Indec, (1988) Censo Nacional Agropecuario: Provincia de Córdoba. Instituto Nacional de Estadistícas y Censos, Presidencia de la Nación.Google Scholar
Justice, C.O., Townshend, J.R.G., Holben, B.N. & Tucker, C.J. (1986) Analysis of the phenology of global vegetation using meterological satellite data. International Journal of Remote Sensing 6, 1271–1318.CrossRefGoogle Scholar
Lenardón, S. (1987) Mal de Río Cuarto. Revista CREA, 6–15.Google Scholar
Maragliano, R.E. & Virla, E.G. (1992) Análisis de la supervivencia y expectativa de vida de Delphacodes kuscheli Fennah 1935 (Homoptera – Delphacidae) criada en condiciones de laboratorio, sobre cinco especies de gramíneas. Proceedings V Congreso Nacional, II Reunión Suramericana Maiz 92.Pergamino (Bs As),21–33.Google Scholar
Remes Lenicov, A.M. (1985) Hallazgo de uno de los vectores del Mal de Río Cuarto del maiz. Gazeta Agronómica 5, 251–256.Google Scholar
Remes Lenicov, A.M. (1991) Cambios estacionales en la población del vector del “Mal de Rio Cuarto” del maíz (Delphacodes kuscheli Fennah, 1955) en cultivos de avena y sus malezas circundantes en Sampacho, Córdoba. Proceedings Printer Taller Argentino sobre Mal de Río Cuarto,Pergamino (Bs As),116–130.Google Scholar
Remes Lenicov, A.M. (1992) Clave para la identificación de los Géneros de Delphacidae hallados en cultivos de maíz en la República Argentina. Clave para la identificación de especies del género Delphacodes. Proceedings V Congreso Nacional, II Reunión Suramericana Maíz 92,Pergamino (Bs As),35–53.Google Scholar
Teillet, P.M. & Holben, B.N. (1994) Towards operational radiometric calibration of NOAA AVHRR imagery in the visible and near-infrared channels. Canadian Journal of Remote Sensing 20, 1–10.Google Scholar
Trumper, E., Grilli, M.P. & Gorla, D.E. (1991) Ecología de delfácidos y epidemiología del Mal de Río Cuarto. Proceedings Primer Taller Argentino sobre Mal de Río Cuarto.Pergamino (Bs As),5–16.Google Scholar
Virla, E.G. & Remes Lenicov, A.M. (1991) Ciclo de vida de Delphacodes kuscheli sobre diferentes hospedantes en condiciones de laboratorio. Proceedings Primer Taller Argentino sobre Mal de Río Cuarto,Pergamino (Bs As),104–116.Google Scholar