Spatial and temporal distribution of weeds in no-tillage system

Detalhes bibliográficos
Autor(a) principal: Bottega,Eduardo L.
Data de Publicação: 2016
Outros Autores: Pegoraro,Camilo, Guerra,Naiara, Oliveira Neto,Antonio M. de, Queiroz,Daniel M. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016001201107
Resumo: ABSTRACT Brazil is one of the largest grain producers in the world, due to its extensive arable land and favorable climate for the cultivation of any species. The production could be higher, but problems such as competition between crops and weeds reduces crop yields. This study aimed to analyze the spatial distribution of weeds, especially milkweed (Sonchus oleraceus), horse weed (Conyza spp.) and ‘maria-mole’ (Senecio brasiliensis) in an area under no-tillage system for two harvests. The work was carried out during the 2013/14 and 2014/15 crop years in an area of 22.5 ha, where soybean is grown in the summer and oat in the winter. The weeds were mapped using a sampling grid of 85 points. The number of plants present in 0.25 m2 was recorded at each sampling point. The data collected in the field composed the information bank and were used for geostatistical analysis and production of maps. Using geostatistical analysis, it was possible to map the horseweed infestation in the studied area for the 2013/14 season. The species ‘maria-mole’ and milkweed did not show spatial dependence. During the 2014/2015 season, because of the management carried out in the off season, none of the studied species showed spatial dependence.
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spelling Spatial and temporal distribution of weeds in no-tillage systemprecision agriculturespatial variabilitySonchus oleraceusConyza spp.Senecio brasiliensisABSTRACT Brazil is one of the largest grain producers in the world, due to its extensive arable land and favorable climate for the cultivation of any species. The production could be higher, but problems such as competition between crops and weeds reduces crop yields. This study aimed to analyze the spatial distribution of weeds, especially milkweed (Sonchus oleraceus), horse weed (Conyza spp.) and ‘maria-mole’ (Senecio brasiliensis) in an area under no-tillage system for two harvests. The work was carried out during the 2013/14 and 2014/15 crop years in an area of 22.5 ha, where soybean is grown in the summer and oat in the winter. The weeds were mapped using a sampling grid of 85 points. The number of plants present in 0.25 m2 was recorded at each sampling point. The data collected in the field composed the information bank and were used for geostatistical analysis and production of maps. Using geostatistical analysis, it was possible to map the horseweed infestation in the studied area for the 2013/14 season. The species ‘maria-mole’ and milkweed did not show spatial dependence. During the 2014/2015 season, because of the management carried out in the off season, none of the studied species showed spatial dependence.Departamento de Engenharia Agrícola - UFCG2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016001201107Revista Brasileira de Engenharia Agrícola e Ambiental v.20 n.12 2016reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v20n12p1107-1111info:eu-repo/semantics/openAccessBottega,Eduardo L.Pegoraro,CamiloGuerra,NaiaraOliveira Neto,Antonio M. deQueiroz,Daniel M. deeng2016-11-29T00:00:00Zoai:scielo:S1415-43662016001201107Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2016-11-29T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Spatial and temporal distribution of weeds in no-tillage system
title Spatial and temporal distribution of weeds in no-tillage system
spellingShingle Spatial and temporal distribution of weeds in no-tillage system
Bottega,Eduardo L.
precision agriculture
spatial variability
Sonchus oleraceus
Conyza spp.
Senecio brasiliensis
title_short Spatial and temporal distribution of weeds in no-tillage system
title_full Spatial and temporal distribution of weeds in no-tillage system
title_fullStr Spatial and temporal distribution of weeds in no-tillage system
title_full_unstemmed Spatial and temporal distribution of weeds in no-tillage system
title_sort Spatial and temporal distribution of weeds in no-tillage system
author Bottega,Eduardo L.
author_facet Bottega,Eduardo L.
Pegoraro,Camilo
Guerra,Naiara
Oliveira Neto,Antonio M. de
Queiroz,Daniel M. de
author_role author
author2 Pegoraro,Camilo
Guerra,Naiara
Oliveira Neto,Antonio M. de
Queiroz,Daniel M. de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Bottega,Eduardo L.
Pegoraro,Camilo
Guerra,Naiara
Oliveira Neto,Antonio M. de
Queiroz,Daniel M. de
dc.subject.por.fl_str_mv precision agriculture
spatial variability
Sonchus oleraceus
Conyza spp.
Senecio brasiliensis
topic precision agriculture
spatial variability
Sonchus oleraceus
Conyza spp.
Senecio brasiliensis
description ABSTRACT Brazil is one of the largest grain producers in the world, due to its extensive arable land and favorable climate for the cultivation of any species. The production could be higher, but problems such as competition between crops and weeds reduces crop yields. This study aimed to analyze the spatial distribution of weeds, especially milkweed (Sonchus oleraceus), horse weed (Conyza spp.) and ‘maria-mole’ (Senecio brasiliensis) in an area under no-tillage system for two harvests. The work was carried out during the 2013/14 and 2014/15 crop years in an area of 22.5 ha, where soybean is grown in the summer and oat in the winter. The weeds were mapped using a sampling grid of 85 points. The number of plants present in 0.25 m2 was recorded at each sampling point. The data collected in the field composed the information bank and were used for geostatistical analysis and production of maps. Using geostatistical analysis, it was possible to map the horseweed infestation in the studied area for the 2013/14 season. The species ‘maria-mole’ and milkweed did not show spatial dependence. During the 2014/2015 season, because of the management carried out in the off season, none of the studied species showed spatial dependence.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
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=S1415-43662016001201107
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v20n12p1107-1111
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.20 n.12 2016
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
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instname_str Universidade Federal de Campina Grande (UFCG)
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