An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system

Autores
Grilli, Mariano Pablo
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The "Mal de Río Cuarto" disease in maize is a viral disease caused by a reovirus (MRCV) and transmitted by the delphacid planthopper Delphacodes kuscheli Fennah in a persistent manner. Although the disease is endemic in only one provincial department, when regional outbreaks occur the losses in maize production are very significant. Actively dispersing D. kuscheli individualswere collected from 15 sampling sites during the 1999 and 2000 spring seasons using sticky traps placed at 6m above ground level, designed to detect flying individuals. Insect host patches were surveyed using Landsat 5 TM images for the periods studied. Two critical landscape metrics, total class area and mean proximity index, were calculated using FRAGSTATS 3.3 on the winter pasture satellite images. Amultiple regression model showed the relationship between host patch area, mean proximity index and D. kuscheli abundance to be highly significant (R2 = 0.96, r = 0.98, P < 0.0001). Spatial simulations of different host areas and different interpatch separations were created in order to test the effect of these metrics on the abundance of the dispersing individuals. The estimate of the insect?s abundance showed that, although patch size is very important in determining mean insect abundance in an area, the separation of these patches is crucial to establish the effect of host patch area on the abundance of dispersing individuals. Until now, disease management consisted in modifying sowing dates in order to avoid maximum D. kuscheli abundances and thus minimize risk of Mal de R´ıo Cuarto Disease. Our results show that a rational area-wide management of host patches can keep
Fil: Grilli, Mariano Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinar de Biología Vegetal (P). Grupo Vinculado Centro de Relevamiento y Evaluación de Recursos Agrícolas y Naturales; Argentina
Materia
Disease Vector
Planhopper
Agricultural Pest
Landsat TM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/159000
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural systemGrilli, Mariano PabloDisease VectorPlanhopperAgricultural PestLandsat TMhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The "Mal de Río Cuarto" disease in maize is a viral disease caused by a reovirus (MRCV) and transmitted by the delphacid planthopper Delphacodes kuscheli Fennah in a persistent manner. Although the disease is endemic in only one provincial department, when regional outbreaks occur the losses in maize production are very significant. Actively dispersing D. kuscheli individualswere collected from 15 sampling sites during the 1999 and 2000 spring seasons using sticky traps placed at 6m above ground level, designed to detect flying individuals. Insect host patches were surveyed using Landsat 5 TM images for the periods studied. Two critical landscape metrics, total class area and mean proximity index, were calculated using FRAGSTATS 3.3 on the winter pasture satellite images. Amultiple regression model showed the relationship between host patch area, mean proximity index and D. kuscheli abundance to be highly significant (R2 = 0.96, r = 0.98, P < 0.0001). Spatial simulations of different host areas and different interpatch separations were created in order to test the effect of these metrics on the abundance of the dispersing individuals. The estimate of the insect?s abundance showed that, although patch size is very important in determining mean insect abundance in an area, the separation of these patches is crucial to establish the effect of host patch area on the abundance of dispersing individuals. Until now, disease management consisted in modifying sowing dates in order to avoid maximum D. kuscheli abundances and thus minimize risk of Mal de R´ıo Cuarto Disease. Our results show that a rational area-wide management of host patches can keepFil: Grilli, Mariano Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinar de Biología Vegetal (P). Grupo Vinculado Centro de Relevamiento y Evaluación de Recursos Agrícolas y Naturales; ArgentinaElsevier Science2008-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/159000Grilli, Mariano Pablo; An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system; Elsevier Science; Ecological Modelling; 213; 3-4; 5-2008; 308-3180304-3800CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolmodel.2007.12.004info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304380007006345info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:36:37Zoai:ri.conicet.gov.ar:11336/159000instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:36:37.549CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system
title An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system
spellingShingle An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system
Grilli, Mariano Pablo
Disease Vector
Planhopper
Agricultural Pest
Landsat TM
title_short An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system
title_full An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system
title_fullStr An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system
title_full_unstemmed An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system
title_sort An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system
dc.creator.none.fl_str_mv Grilli, Mariano Pablo
author Grilli, Mariano Pablo
author_facet Grilli, Mariano Pablo
author_role author
dc.subject.none.fl_str_mv Disease Vector
Planhopper
Agricultural Pest
Landsat TM
topic Disease Vector
Planhopper
Agricultural Pest
Landsat TM
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The "Mal de Río Cuarto" disease in maize is a viral disease caused by a reovirus (MRCV) and transmitted by the delphacid planthopper Delphacodes kuscheli Fennah in a persistent manner. Although the disease is endemic in only one provincial department, when regional outbreaks occur the losses in maize production are very significant. Actively dispersing D. kuscheli individualswere collected from 15 sampling sites during the 1999 and 2000 spring seasons using sticky traps placed at 6m above ground level, designed to detect flying individuals. Insect host patches were surveyed using Landsat 5 TM images for the periods studied. Two critical landscape metrics, total class area and mean proximity index, were calculated using FRAGSTATS 3.3 on the winter pasture satellite images. Amultiple regression model showed the relationship between host patch area, mean proximity index and D. kuscheli abundance to be highly significant (R2 = 0.96, r = 0.98, P < 0.0001). Spatial simulations of different host areas and different interpatch separations were created in order to test the effect of these metrics on the abundance of the dispersing individuals. The estimate of the insect?s abundance showed that, although patch size is very important in determining mean insect abundance in an area, the separation of these patches is crucial to establish the effect of host patch area on the abundance of dispersing individuals. Until now, disease management consisted in modifying sowing dates in order to avoid maximum D. kuscheli abundances and thus minimize risk of Mal de R´ıo Cuarto Disease. Our results show that a rational area-wide management of host patches can keep
Fil: Grilli, Mariano Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinar de Biología Vegetal (P). Grupo Vinculado Centro de Relevamiento y Evaluación de Recursos Agrícolas y Naturales; Argentina
description The "Mal de Río Cuarto" disease in maize is a viral disease caused by a reovirus (MRCV) and transmitted by the delphacid planthopper Delphacodes kuscheli Fennah in a persistent manner. Although the disease is endemic in only one provincial department, when regional outbreaks occur the losses in maize production are very significant. Actively dispersing D. kuscheli individualswere collected from 15 sampling sites during the 1999 and 2000 spring seasons using sticky traps placed at 6m above ground level, designed to detect flying individuals. Insect host patches were surveyed using Landsat 5 TM images for the periods studied. Two critical landscape metrics, total class area and mean proximity index, were calculated using FRAGSTATS 3.3 on the winter pasture satellite images. Amultiple regression model showed the relationship between host patch area, mean proximity index and D. kuscheli abundance to be highly significant (R2 = 0.96, r = 0.98, P < 0.0001). Spatial simulations of different host areas and different interpatch separations were created in order to test the effect of these metrics on the abundance of the dispersing individuals. The estimate of the insect?s abundance showed that, although patch size is very important in determining mean insect abundance in an area, the separation of these patches is crucial to establish the effect of host patch area on the abundance of dispersing individuals. Until now, disease management consisted in modifying sowing dates in order to avoid maximum D. kuscheli abundances and thus minimize risk of Mal de R´ıo Cuarto Disease. Our results show that a rational area-wide management of host patches can keep
publishDate 2008
dc.date.none.fl_str_mv 2008-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/159000
Grilli, Mariano Pablo; An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system; Elsevier Science; Ecological Modelling; 213; 3-4; 5-2008; 308-318
0304-3800
CONICET Digital
CONICET
url http://hdl.handle.net/11336/159000
identifier_str_mv Grilli, Mariano Pablo; An area-wide model approach for the management of a disease vector planthopper in an extensive agricultural system; Elsevier Science; Ecological Modelling; 213; 3-4; 5-2008; 308-318
0304-3800
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolmodel.2007.12.004
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304380007006345
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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