Semivariogram models for rice stem bug population densities estimated by ordinary kriging

Detalhes bibliográficos
Autor(a) principal: Pasini, Mauricio Paulo Batistella
Data de Publicação: 2020
Outros Autores: Engel, Eduardo, Lúcio, Alessandro Dal'Col, Bortolotto, Rafael Pivotto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/48310
Resumo: Tibraca limbativentris is considered one of the main species of insect pests in irrigated rice. This species can be found in plants in the vegetative and reproductive stages. This study aimed to select semivariogram models to estimate rice stem bug population densities by ordinary kriging. Two fields were used to survey the T. limbativentris population in Oryza sativa. A grid of 30 x 30 m was drawn, which generated 143 and 385 sample units for the first and second fields, respectively. Seven evaluations of two hundred plants per sampling unit were performed during cultivation. From the insect counts, the results were input into circular, spherical, pentaspherical, exponential, Gaussian, rational quadratic, cardinal sine, K-Bessel, J-Bessel, and stable semivariogram models via ordinary kriging interpolation and the best model was selected via cross-validation. Each assessment had a particular spatial structure and semivariogram model that best fit the experimental data.
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spelling Semivariogram models for rice stem bug population densities estimated by ordinary krigingSemivariogram models for rice stem bug population densities estimated by ordinary krigingOryza sativa; Tibraca limbativentris; interpolators; geostatistics; spatial variability.Oryza sativa; Tibraca limbativentris; interpolators; geostatistics; spatial variability.Geostatística Aplicada ao Monitoramento de PragasTibraca limbativentris is considered one of the main species of insect pests in irrigated rice. This species can be found in plants in the vegetative and reproductive stages. This study aimed to select semivariogram models to estimate rice stem bug population densities by ordinary kriging. Two fields were used to survey the T. limbativentris population in Oryza sativa. A grid of 30 x 30 m was drawn, which generated 143 and 385 sample units for the first and second fields, respectively. Seven evaluations of two hundred plants per sampling unit were performed during cultivation. From the insect counts, the results were input into circular, spherical, pentaspherical, exponential, Gaussian, rational quadratic, cardinal sine, K-Bessel, J-Bessel, and stable semivariogram models via ordinary kriging interpolation and the best model was selected via cross-validation. Each assessment had a particular spatial structure and semivariogram model that best fit the experimental data.Tibraca limbativentris is considered one of the main species of insect pests in irrigated rice. This species can be found in plants in the vegetative and reproductive stages. This study aimed to select semivariogram models to estimate rice stem bug population densities by ordinary kriging. Two fields were used to survey the T. limbativentris population in Oryza sativa. A grid of 30 x 30 m was drawn, which generated 143 and 385 sample units for the first and second fields, respectively. Seven evaluations of two hundred plants per sampling unit were performed during cultivation. From the insect counts, the results were input into circular, spherical, pentaspherical, exponential, Gaussian, rational quadratic, cardinal sine, K-Bessel, J-Bessel, and stable semivariogram models via ordinary kriging interpolation and the best model was selected via cross-validation. Each assessment had a particular spatial structure and semivariogram model that best fit the experimental data.Universidade Estadual de Maringá2020-11-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Emírica de Campoapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4831010.4025/actasciagron.v43i1.48310Acta Scientiarum. Agronomy; Vol 43 (2021): Publicação contínua; e48310Acta Scientiarum. Agronomy; v. 43 (2021): Publicação contínua; e483101807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/48310/751375151072Copyright (c) 2021 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPasini, Mauricio Paulo BatistellaEngel, EduardoLúcio, Alessandro Dal'ColBortolotto, Rafael Pivotto2021-07-27T17:52:15Zoai:periodicos.uem.br/ojs:article/48310Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2021-07-27T17:52:15Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Semivariogram models for rice stem bug population densities estimated by ordinary kriging
Semivariogram models for rice stem bug population densities estimated by ordinary kriging
title Semivariogram models for rice stem bug population densities estimated by ordinary kriging
spellingShingle Semivariogram models for rice stem bug population densities estimated by ordinary kriging
Pasini, Mauricio Paulo Batistella
Oryza sativa; Tibraca limbativentris; interpolators; geostatistics; spatial variability.
Oryza sativa; Tibraca limbativentris; interpolators; geostatistics; spatial variability.
Geostatística Aplicada ao Monitoramento de Pragas
title_short Semivariogram models for rice stem bug population densities estimated by ordinary kriging
title_full Semivariogram models for rice stem bug population densities estimated by ordinary kriging
title_fullStr Semivariogram models for rice stem bug population densities estimated by ordinary kriging
title_full_unstemmed Semivariogram models for rice stem bug population densities estimated by ordinary kriging
title_sort Semivariogram models for rice stem bug population densities estimated by ordinary kriging
author Pasini, Mauricio Paulo Batistella
author_facet Pasini, Mauricio Paulo Batistella
Engel, Eduardo
Lúcio, Alessandro Dal'Col
Bortolotto, Rafael Pivotto
author_role author
author2 Engel, Eduardo
Lúcio, Alessandro Dal'Col
Bortolotto, Rafael Pivotto
author2_role author
author
author
dc.contributor.author.fl_str_mv Pasini, Mauricio Paulo Batistella
Engel, Eduardo
Lúcio, Alessandro Dal'Col
Bortolotto, Rafael Pivotto
dc.subject.por.fl_str_mv Oryza sativa; Tibraca limbativentris; interpolators; geostatistics; spatial variability.
Oryza sativa; Tibraca limbativentris; interpolators; geostatistics; spatial variability.
Geostatística Aplicada ao Monitoramento de Pragas
topic Oryza sativa; Tibraca limbativentris; interpolators; geostatistics; spatial variability.
Oryza sativa; Tibraca limbativentris; interpolators; geostatistics; spatial variability.
Geostatística Aplicada ao Monitoramento de Pragas
description Tibraca limbativentris is considered one of the main species of insect pests in irrigated rice. This species can be found in plants in the vegetative and reproductive stages. This study aimed to select semivariogram models to estimate rice stem bug population densities by ordinary kriging. Two fields were used to survey the T. limbativentris population in Oryza sativa. A grid of 30 x 30 m was drawn, which generated 143 and 385 sample units for the first and second fields, respectively. Seven evaluations of two hundred plants per sampling unit were performed during cultivation. From the insect counts, the results were input into circular, spherical, pentaspherical, exponential, Gaussian, rational quadratic, cardinal sine, K-Bessel, J-Bessel, and stable semivariogram models via ordinary kriging interpolation and the best model was selected via cross-validation. Each assessment had a particular spatial structure and semivariogram model that best fit the experimental data.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-05
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa Emírica de Campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/48310
10.4025/actasciagron.v43i1.48310
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/48310
identifier_str_mv 10.4025/actasciagron.v43i1.48310
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/48310/751375151072
dc.rights.driver.fl_str_mv Copyright (c) 2021 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 43 (2021): Publicação contínua; e48310
Acta Scientiarum. Agronomy; v. 43 (2021): Publicação contínua; e48310
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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