Spatiotemporal analysis of distribution of pest and predator in corn crops
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos do instituto biológico (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1808-16572021000100207 |
Resumo: | ABSTRACT Crop pests have negative impacts on yield. This paper proposes a spatiotemporal geostatistical modeling to compare data of adult Syrphidae fly count and corn leaf aphid Rhopalosiphum maidis (Fitch, 1856) colonies in corn crops. The use of a geostatistical model that allows the space-time variation makes the approach more interesting because it is a more complete model. Multiple regression was used to model the trend component for the variable response adult Syrphidae fly count and corn leaf aphid colonies, with the coordinates serving as covariates and the spatiotemporal variations around the deviation are described by a random spacetime residual field. Finally, the prediction map obtained by kriging may be a biological indicator of possible corn leaf aphid colonies in the corn crop. It was possible to verify that the occurrence of the pest provided a significant increase in adult predators and seminatural habitats may favor populations of natural enemies. |
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Arquivos do instituto biológico (Online) |
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Spatiotemporal analysis of distribution of pest and predator in corn cropsinsectsstatistical methodsecological managementRhopalosiphum maidisSyrphidae fliesABSTRACT Crop pests have negative impacts on yield. This paper proposes a spatiotemporal geostatistical modeling to compare data of adult Syrphidae fly count and corn leaf aphid Rhopalosiphum maidis (Fitch, 1856) colonies in corn crops. The use of a geostatistical model that allows the space-time variation makes the approach more interesting because it is a more complete model. Multiple regression was used to model the trend component for the variable response adult Syrphidae fly count and corn leaf aphid colonies, with the coordinates serving as covariates and the spatiotemporal variations around the deviation are described by a random spacetime residual field. Finally, the prediction map obtained by kriging may be a biological indicator of possible corn leaf aphid colonies in the corn crop. It was possible to verify that the occurrence of the pest provided a significant increase in adult predators and seminatural habitats may favor populations of natural enemies.Instituto Biológico2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1808-16572021000100207Arquivos do Instituto Biológico v.88 2021reponame:Arquivos do instituto biológico (Online)instname:Instituto Biológico (IB)instacron:IBIO10.1590/1808-1657000332020info:eu-repo/semantics/openAccessMello,Marcello Neiva deDias,Carlos Tadeu dos SantosMedeiros,Elias Silva deMartins,Ivan Carlos FernandesCampos,Lourival Diaseng2021-11-25T00:00:00Zoai:scielo:S1808-16572021000100207Revistahttp://www.biologico.sp.gov.br/arquivos_bio.phphttps://old.scielo.br/oai/scielo-oai.php||arquivos@biologico.sp.gov.br1808-16570020-3653opendoar:2021-11-25T00:00Arquivos do instituto biológico (Online) - Instituto Biológico (IB)false |
dc.title.none.fl_str_mv |
Spatiotemporal analysis of distribution of pest and predator in corn crops |
title |
Spatiotemporal analysis of distribution of pest and predator in corn crops |
spellingShingle |
Spatiotemporal analysis of distribution of pest and predator in corn crops Mello,Marcello Neiva de insects statistical methods ecological management Rhopalosiphum maidis Syrphidae flies |
title_short |
Spatiotemporal analysis of distribution of pest and predator in corn crops |
title_full |
Spatiotemporal analysis of distribution of pest and predator in corn crops |
title_fullStr |
Spatiotemporal analysis of distribution of pest and predator in corn crops |
title_full_unstemmed |
Spatiotemporal analysis of distribution of pest and predator in corn crops |
title_sort |
Spatiotemporal analysis of distribution of pest and predator in corn crops |
author |
Mello,Marcello Neiva de |
author_facet |
Mello,Marcello Neiva de Dias,Carlos Tadeu dos Santos Medeiros,Elias Silva de Martins,Ivan Carlos Fernandes Campos,Lourival Dias |
author_role |
author |
author2 |
Dias,Carlos Tadeu dos Santos Medeiros,Elias Silva de Martins,Ivan Carlos Fernandes Campos,Lourival Dias |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Mello,Marcello Neiva de Dias,Carlos Tadeu dos Santos Medeiros,Elias Silva de Martins,Ivan Carlos Fernandes Campos,Lourival Dias |
dc.subject.por.fl_str_mv |
insects statistical methods ecological management Rhopalosiphum maidis Syrphidae flies |
topic |
insects statistical methods ecological management Rhopalosiphum maidis Syrphidae flies |
description |
ABSTRACT Crop pests have negative impacts on yield. This paper proposes a spatiotemporal geostatistical modeling to compare data of adult Syrphidae fly count and corn leaf aphid Rhopalosiphum maidis (Fitch, 1856) colonies in corn crops. The use of a geostatistical model that allows the space-time variation makes the approach more interesting because it is a more complete model. Multiple regression was used to model the trend component for the variable response adult Syrphidae fly count and corn leaf aphid colonies, with the coordinates serving as covariates and the spatiotemporal variations around the deviation are described by a random spacetime residual field. Finally, the prediction map obtained by kriging may be a biological indicator of possible corn leaf aphid colonies in the corn crop. It was possible to verify that the occurrence of the pest provided a significant increase in adult predators and seminatural habitats may favor populations of natural enemies. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1808-16572021000100207 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1808-16572021000100207 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1808-1657000332020 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto Biológico |
publisher.none.fl_str_mv |
Instituto Biológico |
dc.source.none.fl_str_mv |
Arquivos do Instituto Biológico v.88 2021 reponame:Arquivos do instituto biológico (Online) instname:Instituto Biológico (IB) instacron:IBIO |
instname_str |
Instituto Biológico (IB) |
instacron_str |
IBIO |
institution |
IBIO |
reponame_str |
Arquivos do instituto biológico (Online) |
collection |
Arquivos do instituto biológico (Online) |
repository.name.fl_str_mv |
Arquivos do instituto biológico (Online) - Instituto Biológico (IB) |
repository.mail.fl_str_mv |
||arquivos@biologico.sp.gov.br |
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1754193670715736064 |