Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
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. |
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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 |
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1799306084902502400 |