Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará

Detalhes bibliográficos
Autor(a) principal: Gama, Adriano da Silva
Data de Publicação: 2021
Outros Autores: Farias, Paulo Roberto Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/42892
Resumo: 'Lethal Coconut Palm Crown Atrophy' (LCCA) is a rapidly spreading disease in Brazil, capable of quickly killing coconut trees and threatening the commercial exploration of this plant. The objective of this work was to characterize the spatial and temporal distribution pattern of LCCA in green dwarf coconut commercial plantation areas, located the municipality of Santa Izabel, mesoregion of Northeastern Pará, Brazil. Surveys were carried out at monthly intervals between January 2014 and December 2018, checking for plants with LCCA-characteristic symptoms. Geostatistics was applied to perform spatial-temporal disease estimates based on semivariogram modeling and preparation of ordinary kriging maps. These spatial estimates are conducted through interpolations that characterize data variability in the area. The spherical model yielded the best fit to the spatial distribution of the disease, as it presented the best coefficient of determination (R²), with the range varying between 14m and 45m. The Spatial Dependence Index (SDI) was moderate in the evaluations carried out between 2014 and 2017 (in the 0.26-0.64 range), but not in 2018, when it was strong (0.23). The values of the clustering intensity of LCCA-symptomatic plants were estimated in non-sampled points. The spherical fit model of the data indicates an aggregated distribution pattern, shown by aggregation patches in the plantation, graded by values of dissemination intensity. The kriging maps allowed the observation that the disease expands between plants in the same line, suggesting the possibility of the presence of a short-range vector.
id UEL-11_be69e4c000b9f11f8a33358b5bd538ad
oai_identifier_str oai:ojs.pkp.sfu.ca:article/42892
network_acronym_str UEL-11
network_name_str Semina. Ciências Agrárias (Online)
repository_id_str
spelling Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of ParáModelagem geoestatística da “Atrofia Letal da Coroa Coqueiro”, uma nova doença no Estado do ParáCocos nucifera L. LCCA.InterpolationOrdinary kriging.Cocos nucifera L. ALCC.InterpolaçãoKrigagem ordinária.'Lethal Coconut Palm Crown Atrophy' (LCCA) is a rapidly spreading disease in Brazil, capable of quickly killing coconut trees and threatening the commercial exploration of this plant. The objective of this work was to characterize the spatial and temporal distribution pattern of LCCA in green dwarf coconut commercial plantation areas, located the municipality of Santa Izabel, mesoregion of Northeastern Pará, Brazil. Surveys were carried out at monthly intervals between January 2014 and December 2018, checking for plants with LCCA-characteristic symptoms. Geostatistics was applied to perform spatial-temporal disease estimates based on semivariogram modeling and preparation of ordinary kriging maps. These spatial estimates are conducted through interpolations that characterize data variability in the area. The spherical model yielded the best fit to the spatial distribution of the disease, as it presented the best coefficient of determination (R²), with the range varying between 14m and 45m. The Spatial Dependence Index (SDI) was moderate in the evaluations carried out between 2014 and 2017 (in the 0.26-0.64 range), but not in 2018, when it was strong (0.23). The values of the clustering intensity of LCCA-symptomatic plants were estimated in non-sampled points. The spherical fit model of the data indicates an aggregated distribution pattern, shown by aggregation patches in the plantation, graded by values of dissemination intensity. The kriging maps allowed the observation that the disease expands between plants in the same line, suggesting the possibility of the presence of a short-range vector.A 'Atrofia Letal da Coroa do Coqueiro' (ALCC) é uma doença de rápida disseminação no Brasil, capaz de matar os coqueiros rapidamente e ameaçar a exploração comercial da planta. O objetivo deste trabalho foi caracterizar o padrão de distribuição espacial e temporal de ALCC em áreas de plantio comercial de coco anão verde, localizadas no município de Santa Izabel, mesorregião do Nordeste do Pará, Brasil. As pesquisas foram realizadas em intervalos mensais entre janeiro de 2014 e dezembro de 2018, verificando se havia plantas com sintomas característicos da ALCC. A geoestatística foi aplicada para realizar estimativas espaço-temporais de doenças com base na modelagem de semivariogramas e na preparação de mapas de krigagem comuns. Essas estimativas espaciais são realizadas por meio de interpolações que caracterizam a variabilidade dos dados na área. O modelo esférico apresentou o melhor ajuste à distribuição espacial da doença, pois apresentou o melhor coeficiente de determinação (R²), com amplitude variando entre 14m e 45m. O Índice de Dependência Espacial (SDI) foi moderado nas avaliações realizadas entre 2014 e 2017 (na faixa de 0,26-0,64), mas não em 2018, quando era forte (0,23). Os valores da intensidade de agrupamento de plantas sintomáticas ALCC foram estimados em pontos não amostrados. O modelo de ajuste esférico dos dados indica um padrão de distribuição agregado, mostrado por manchas de agregação na plantação, graduadas por valores de intensidade de disseminação. Os mapas de krigagem permitiram observar que a doença se expande entre plantas na mesma linha, sugerindo a possibilidade da presença de um vetor de curto alcance.UEL2021-10-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionGeoestatísticaapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4289210.5433/1679-0359.2021v42n6SUPL2p3603Semina: Ciências Agrárias; Vol. 42 No. 6SUPL2 (2021); 3603-3616Semina: Ciências Agrárias; v. 42 n. 6SUPL2 (2021); 3603-36161679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/42892/30354Copyright (c) 2021 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessGama, Adriano da SilvaFarias, Paulo Roberto Silva2022-09-29T16:21:37Zoai:ojs.pkp.sfu.ca:article/42892Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-09-29T16:21:37Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará
Modelagem geoestatística da “Atrofia Letal da Coroa Coqueiro”, uma nova doença no Estado do Pará
title Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará
spellingShingle Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará
Gama, Adriano da Silva
Cocos nucifera L. LCCA.
Interpolation
Ordinary kriging.
Cocos nucifera L. ALCC.
Interpolação
Krigagem ordinária.
title_short Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará
title_full Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará
title_fullStr Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará
title_full_unstemmed Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará
title_sort Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará
author Gama, Adriano da Silva
author_facet Gama, Adriano da Silva
Farias, Paulo Roberto Silva
author_role author
author2 Farias, Paulo Roberto Silva
author2_role author
dc.contributor.author.fl_str_mv Gama, Adriano da Silva
Farias, Paulo Roberto Silva
dc.subject.por.fl_str_mv Cocos nucifera L. LCCA.
Interpolation
Ordinary kriging.
Cocos nucifera L. ALCC.
Interpolação
Krigagem ordinária.
topic Cocos nucifera L. LCCA.
Interpolation
Ordinary kriging.
Cocos nucifera L. ALCC.
Interpolação
Krigagem ordinária.
description 'Lethal Coconut Palm Crown Atrophy' (LCCA) is a rapidly spreading disease in Brazil, capable of quickly killing coconut trees and threatening the commercial exploration of this plant. The objective of this work was to characterize the spatial and temporal distribution pattern of LCCA in green dwarf coconut commercial plantation areas, located the municipality of Santa Izabel, mesoregion of Northeastern Pará, Brazil. Surveys were carried out at monthly intervals between January 2014 and December 2018, checking for plants with LCCA-characteristic symptoms. Geostatistics was applied to perform spatial-temporal disease estimates based on semivariogram modeling and preparation of ordinary kriging maps. These spatial estimates are conducted through interpolations that characterize data variability in the area. The spherical model yielded the best fit to the spatial distribution of the disease, as it presented the best coefficient of determination (R²), with the range varying between 14m and 45m. The Spatial Dependence Index (SDI) was moderate in the evaluations carried out between 2014 and 2017 (in the 0.26-0.64 range), but not in 2018, when it was strong (0.23). The values of the clustering intensity of LCCA-symptomatic plants were estimated in non-sampled points. The spherical fit model of the data indicates an aggregated distribution pattern, shown by aggregation patches in the plantation, graded by values of dissemination intensity. The kriging maps allowed the observation that the disease expands between plants in the same line, suggesting the possibility of the presence of a short-range vector.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Geoestatística
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/42892
10.5433/1679-0359.2021v42n6SUPL2p3603
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/42892
identifier_str_mv 10.5433/1679-0359.2021v42n6SUPL2p3603
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/42892/30354
dc.rights.driver.fl_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 42 No. 6SUPL2 (2021); 3603-3616
Semina: Ciências Agrárias; v. 42 n. 6SUPL2 (2021); 3603-3616
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
_version_ 1799306084902502400