Phytosociological variability of weeds in soybean field

Detalhes bibliográficos
Autor(a) principal: Santi,A.L.
Data de Publicação: 2014
Outros Autores: Bona,S.D., Lamego,F.P., Basso,C.J., Eitelwein,M.T., Cherubin,M.R., Kaspary,T.E., Ruchel,Q., Gallon,M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Planta daninha (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582014000100005
Resumo: Understanding spatial distribution of weeds in the crop enables to perform localized herbicide applications, increasing the technical and economic efficiency of operations and reducing environmental impacts. This work aimed to characterize the spatial and phytosociological variability of weeds occurring in soybean commercial field. It was conducted in an agricultural area located at the municipality of Boa Vista das Missões - RS, during the 2010/2011 harvest season. The area, that had been managed under no-tillage with soybean monoculture (summer) for five years, was divided in regular squares of 50 x 50 m (0.25 ha), totalizing 356 points. For species identification, 0.5 x 0.5 m sample squares were used. During the survey, 1,739 individuals were identified, distributed in 19 species of 13 families. The weed species Cardiospermum halicacabum, Digitaria horizontalis, Urochloa plantaginea and Raphanus raphanistrum showed the highest population variation in the area; however, only C. halicacabum, U. plantaginea and R. raphanistrum stood out based on the Importance Index Value (IVI). Localized management strategies considering the spatial variability of weed species placed in the Magnoliopsidas and Liliopsidas group show a high potential for use in soybean crop. The results show that the sampling method through regular grid was capable of characterizing the occurrence, population density and spatial variability of weed species in soybean crop.
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spelling Phytosociological variability of weeds in soybean fieldprecision agriculturespatial distributionimportance index valuevariable rate applicationUnderstanding spatial distribution of weeds in the crop enables to perform localized herbicide applications, increasing the technical and economic efficiency of operations and reducing environmental impacts. This work aimed to characterize the spatial and phytosociological variability of weeds occurring in soybean commercial field. It was conducted in an agricultural area located at the municipality of Boa Vista das Missões - RS, during the 2010/2011 harvest season. The area, that had been managed under no-tillage with soybean monoculture (summer) for five years, was divided in regular squares of 50 x 50 m (0.25 ha), totalizing 356 points. For species identification, 0.5 x 0.5 m sample squares were used. During the survey, 1,739 individuals were identified, distributed in 19 species of 13 families. The weed species Cardiospermum halicacabum, Digitaria horizontalis, Urochloa plantaginea and Raphanus raphanistrum showed the highest population variation in the area; however, only C. halicacabum, U. plantaginea and R. raphanistrum stood out based on the Importance Index Value (IVI). Localized management strategies considering the spatial variability of weed species placed in the Magnoliopsidas and Liliopsidas group show a high potential for use in soybean crop. The results show that the sampling method through regular grid was capable of characterizing the occurrence, population density and spatial variability of weed species in soybean crop.Sociedade Brasileira da Ciência das Plantas Daninhas 2014-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582014000100005Planta Daninha v.32 n.1 2014reponame:Planta daninha (Online)instname:Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)instacron:SBCPD10.1590/S0100-83582014000100005info:eu-repo/semantics/openAccessSanti,A.L.Bona,S.D.Lamego,F.P.Basso,C.J.Eitelwein,M.T.Cherubin,M.R.Kaspary,T.E.Ruchel,Q.Gallon,M.eng2014-04-17T00:00:00Zoai:scielo:S0100-83582014000100005Revistahttp://revistas.cpd.ufv.br/pdaninhaweb/https://old.scielo.br/oai/scielo-oai.php||rpdaninha@gmail.com1806-96810100-8358opendoar:2014-04-17T00:00Planta daninha (Online) - Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)false
dc.title.none.fl_str_mv Phytosociological variability of weeds in soybean field
title Phytosociological variability of weeds in soybean field
spellingShingle Phytosociological variability of weeds in soybean field
Santi,A.L.
precision agriculture
spatial distribution
importance index value
variable rate application
title_short Phytosociological variability of weeds in soybean field
title_full Phytosociological variability of weeds in soybean field
title_fullStr Phytosociological variability of weeds in soybean field
title_full_unstemmed Phytosociological variability of weeds in soybean field
title_sort Phytosociological variability of weeds in soybean field
author Santi,A.L.
author_facet Santi,A.L.
Bona,S.D.
Lamego,F.P.
Basso,C.J.
Eitelwein,M.T.
Cherubin,M.R.
Kaspary,T.E.
Ruchel,Q.
Gallon,M.
author_role author
author2 Bona,S.D.
Lamego,F.P.
Basso,C.J.
Eitelwein,M.T.
Cherubin,M.R.
Kaspary,T.E.
Ruchel,Q.
Gallon,M.
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santi,A.L.
Bona,S.D.
Lamego,F.P.
Basso,C.J.
Eitelwein,M.T.
Cherubin,M.R.
Kaspary,T.E.
Ruchel,Q.
Gallon,M.
dc.subject.por.fl_str_mv precision agriculture
spatial distribution
importance index value
variable rate application
topic precision agriculture
spatial distribution
importance index value
variable rate application
description Understanding spatial distribution of weeds in the crop enables to perform localized herbicide applications, increasing the technical and economic efficiency of operations and reducing environmental impacts. This work aimed to characterize the spatial and phytosociological variability of weeds occurring in soybean commercial field. It was conducted in an agricultural area located at the municipality of Boa Vista das Missões - RS, during the 2010/2011 harvest season. The area, that had been managed under no-tillage with soybean monoculture (summer) for five years, was divided in regular squares of 50 x 50 m (0.25 ha), totalizing 356 points. For species identification, 0.5 x 0.5 m sample squares were used. During the survey, 1,739 individuals were identified, distributed in 19 species of 13 families. The weed species Cardiospermum halicacabum, Digitaria horizontalis, Urochloa plantaginea and Raphanus raphanistrum showed the highest population variation in the area; however, only C. halicacabum, U. plantaginea and R. raphanistrum stood out based on the Importance Index Value (IVI). Localized management strategies considering the spatial variability of weed species placed in the Magnoliopsidas and Liliopsidas group show a high potential for use in soybean crop. The results show that the sampling method through regular grid was capable of characterizing the occurrence, population density and spatial variability of weed species in soybean crop.
publishDate 2014
dc.date.none.fl_str_mv 2014-03-01
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=S0100-83582014000100005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582014000100005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-83582014000100005
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 Sociedade Brasileira da Ciência das Plantas Daninhas
publisher.none.fl_str_mv Sociedade Brasileira da Ciência das Plantas Daninhas
dc.source.none.fl_str_mv Planta Daninha v.32 n.1 2014
reponame:Planta daninha (Online)
instname:Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)
instacron:SBCPD
instname_str Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)
instacron_str SBCPD
institution SBCPD
reponame_str Planta daninha (Online)
collection Planta daninha (Online)
repository.name.fl_str_mv Planta daninha (Online) - Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)
repository.mail.fl_str_mv ||rpdaninha@gmail.com
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