Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445

Detalhes bibliográficos
Autor(a) principal: Chiba, Marcio Koiti
Data de Publicação: 2010
Outros Autores: Guedes Filho, Osvaldo, Vieira, Sidney Rosa
Tipo de documento: Artigo
Idioma: por
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5445
Resumo: The knowledge of weed spatial distribution allows specific site management that leads to herbicide savings and environmental quality protection. This work aimed to evaluate the spatial distribution of weeds in a clay Oxisol in Campinas, Sao Paulo State, Brazil during the period between 2003 and 2008. The sampled area measured 3.42 ha and featured 302 sampling points, in a 10 x 10 meter regular grid. Based on high and very high values of coefficient of variation and on its asymmetry, it was shown that inferences of mean values did not represent the sampled population of weeds. Also, the semivariograms showed a spatial pattern of data for weeds, even if they were separated according to its leaf morphology. The clustered weed distribution were well designed at the kriged maps and also observed according to distribution index. With the geostatistical approach, it was possible to clear mapping site-specific managing zones with 5 to 10 fold differences in weed count, in order to confirm that this technique can be used as ancillary tool in agricultural practices.
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spelling Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445Variabilidade espacial e temporal de plantas daninhas em Latossolo Vermelho argiloso sob semeadura direta - doi: 10.4025/actasciagron.v32i4.5445GeostatisticskriggingmappingGeoestatísticakrigagemmapeamentoAgronomiaThe knowledge of weed spatial distribution allows specific site management that leads to herbicide savings and environmental quality protection. This work aimed to evaluate the spatial distribution of weeds in a clay Oxisol in Campinas, Sao Paulo State, Brazil during the period between 2003 and 2008. The sampled area measured 3.42 ha and featured 302 sampling points, in a 10 x 10 meter regular grid. Based on high and very high values of coefficient of variation and on its asymmetry, it was shown that inferences of mean values did not represent the sampled population of weeds. Also, the semivariograms showed a spatial pattern of data for weeds, even if they were separated according to its leaf morphology. The clustered weed distribution were well designed at the kriged maps and also observed according to distribution index. With the geostatistical approach, it was possible to clear mapping site-specific managing zones with 5 to 10 fold differences in weed count, in order to confirm that this technique can be used as ancillary tool in agricultural practices.O conhecimento da variabilidade espacial das plantas daninhas permite ações de manejo localizado, que podem trazer o duplo benefício da economia de insumos e da preservação da qualidade do ambiente. Este trabalho objetivou avaliar a distribuição espacial de plantas daninhas num Latossolo Vermelho distrófico (LVd) argiloso em Campinas, Estado de São Paulo, no período entre 2003 e 2008. A área amostrada era de 3,42 hectares e apresentava 302 pontos amostrais distribuídos em grade regular de 10 x 10 m. Os coeficientes de variação calculados foram classificados como altos e muitos altos, características de dados provenientes de contagem, e assimétricos, o que demonstra que a utilização de valores médios não representa adequadamente a população amostral. A análise semivariográfica mostrou que, para as diferentes épocas estudadas, houve estrutura de dependência espacial definida, tanto para as plantas separadas em função do tipo de folha como para o número total delas. Os mapas obtidos por krigagem e o índice de distribuição evidenciaram o padrão agregado da distribuição espacial dos dados. Foi possível delimitar zonas de manejo com diferenças de infestação da ordem de cinco a dez vezes no número total de plantas daninhas, confirmando a hipótese de que a análise geoestatística pode ser utilizada como ferramenta auxiliar no manejo de forma satisfatória.Universidade Estadual de Maringá2010-11-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa empírica de campoapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/544510.4025/actasciagron.v32i4.5445Acta Scientiarum. Agronomy; Vol 32 No 4 (2010); 735-742Acta Scientiarum. Agronomy; v. 32 n. 4 (2010); 735-7421807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5445/5445Chiba, Marcio KoitiGuedes Filho, OsvaldoVieira, Sidney Rosainfo:eu-repo/semantics/openAccess2022-11-23T18:38:11Zoai:periodicos.uem.br/ojs:article/5445Revistahttp://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:2022-11-23T18:38:11Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445
Variabilidade espacial e temporal de plantas daninhas em Latossolo Vermelho argiloso sob semeadura direta - doi: 10.4025/actasciagron.v32i4.5445
title Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445
spellingShingle Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445
Chiba, Marcio Koiti
Geostatistics
krigging
mapping
Geoestatística
krigagem
mapeamento
Agronomia
title_short Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445
title_full Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445
title_fullStr Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445
title_full_unstemmed Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445
title_sort Spatial and temporal variability of weed population in an Oxisol under no-till system - doi: 10.4025/actasciagron.v32i4.5445
author Chiba, Marcio Koiti
author_facet Chiba, Marcio Koiti
Guedes Filho, Osvaldo
Vieira, Sidney Rosa
author_role author
author2 Guedes Filho, Osvaldo
Vieira, Sidney Rosa
author2_role author
author
dc.contributor.author.fl_str_mv Chiba, Marcio Koiti
Guedes Filho, Osvaldo
Vieira, Sidney Rosa
dc.subject.por.fl_str_mv Geostatistics
krigging
mapping
Geoestatística
krigagem
mapeamento
Agronomia
topic Geostatistics
krigging
mapping
Geoestatística
krigagem
mapeamento
Agronomia
description The knowledge of weed spatial distribution allows specific site management that leads to herbicide savings and environmental quality protection. This work aimed to evaluate the spatial distribution of weeds in a clay Oxisol in Campinas, Sao Paulo State, Brazil during the period between 2003 and 2008. The sampled area measured 3.42 ha and featured 302 sampling points, in a 10 x 10 meter regular grid. Based on high and very high values of coefficient of variation and on its asymmetry, it was shown that inferences of mean values did not represent the sampled population of weeds. Also, the semivariograms showed a spatial pattern of data for weeds, even if they were separated according to its leaf morphology. The clustered weed distribution were well designed at the kriged maps and also observed according to distribution index. With the geostatistical approach, it was possible to clear mapping site-specific managing zones with 5 to 10 fold differences in weed count, in order to confirm that this technique can be used as ancillary tool in agricultural practices.
publishDate 2010
dc.date.none.fl_str_mv 2010-11-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5445
10.4025/actasciagron.v32i4.5445
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5445
identifier_str_mv 10.4025/actasciagron.v32i4.5445
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5445/5445
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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 32 No 4 (2010); 735-742
Acta Scientiarum. Agronomy; v. 32 n. 4 (2010); 735-742
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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