Phytosociological variability of weeds in soybean field
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , , , |
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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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 |
_version_ |
1752126493998186496 |