Spatial relation of weed competition and soil fertility in soybean farming

Detalhes bibliográficos
Autor(a) principal: Furtado, José Augusto Lima
Data de Publicação: 2022
Outros Autores: Almeida, Edmilson Igor Bernardo, de Oliveira, Leonardo Bernardes Taverny, dos Santos, Antonio Clementino, da Costa, Tiago Vieira, da Silva, Marcelo de Sousa, Souza, Jarlyson Bruno Costa [UNESP], da Silva Sousa, Washington, Ponte, Islana Silva, Freitas, José Roberto Brito
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.21475/ajcs.22.16.07.p3548
http://hdl.handle.net/11449/245966
Resumo: Soybean is one of the main crops in Brazil, with a significant share of national agribusiness exports. Nonetheless, several factors such as weed competition and soil fertility directly affect soybean yield and productivity. This study aimed to analyse the spatial distribution of weeds as a function of soil fertility and soybean yield in farming fields. We carried out the experiment on a farm located in Brejo, Maranhão state, Brazil, through a geostatistical analysis of 60 sampling points on a regular grid of 10.0 m x 50.0 m. At these points, we collected phytosociological information on the weed community, soil fertility, and soybean yield. We performed principal component analysis (PCA) to determine the most responsive variables and to group them. We determined spatial dependence through geostatistical procedures, with the interpretation and adjustment of variogram components. We identified seven weed species, distributed across seven genera and six botanical families, of which 76.78% were eudicotyledons. In the cluster analysis, we grouped monocotyledonous species separately from eudicotyledons as explained by the morphophysiological contrasts between these botanical classes. Soybean yield did not correlate with soil fertility or weeds. These two factors can be considered only as a share of soybean productivity because their individual variations do not directly influence production factors. The efficient management of weeds and soil fertility should result in a more uniform and potencially more soybean yield when other conditioning factors are also effective.
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spelling Spatial relation of weed competition and soil fertility in soybean farmingGeostatisticsGlycine max (l.)MerrilPrincipal component analysisProductivitySoybean is one of the main crops in Brazil, with a significant share of national agribusiness exports. Nonetheless, several factors such as weed competition and soil fertility directly affect soybean yield and productivity. This study aimed to analyse the spatial distribution of weeds as a function of soil fertility and soybean yield in farming fields. We carried out the experiment on a farm located in Brejo, Maranhão state, Brazil, through a geostatistical analysis of 60 sampling points on a regular grid of 10.0 m x 50.0 m. At these points, we collected phytosociological information on the weed community, soil fertility, and soybean yield. We performed principal component analysis (PCA) to determine the most responsive variables and to group them. We determined spatial dependence through geostatistical procedures, with the interpretation and adjustment of variogram components. We identified seven weed species, distributed across seven genera and six botanical families, of which 76.78% were eudicotyledons. In the cluster analysis, we grouped monocotyledonous species separately from eudicotyledons as explained by the morphophysiological contrasts between these botanical classes. Soybean yield did not correlate with soil fertility or weeds. These two factors can be considered only as a share of soybean productivity because their individual variations do not directly influence production factors. The efficient management of weeds and soil fertility should result in a more uniform and potencially more soybean yield when other conditioning factors are also effective.Universidade Federal do Maranhão, CEP 65.500-000,MAUniversidade Federal do Tocantins, CEP 77.804-970,TOUniversidade Estadual Paulista Júlio Mesquita Filho, CEP 14.884-900,SPUniversidade Estadual Paulista Júlio Mesquita Filho, CEP 14.884-900,SPUniversidade Federal do MaranhãoUniversidade Federal do TocantinsUniversidade Estadual Paulista (UNESP)Furtado, José Augusto LimaAlmeida, Edmilson Igor Bernardode Oliveira, Leonardo Bernardes Tavernydos Santos, Antonio Clementinoda Costa, Tiago Vieirada Silva, Marcelo de SousaSouza, Jarlyson Bruno Costa [UNESP]da Silva Sousa, WashingtonPonte, Islana SilvaFreitas, José Roberto Brito2023-07-29T12:28:08Z2023-07-29T12:28:08Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article899-906http://dx.doi.org/10.21475/ajcs.22.16.07.p3548Australian Journal of Crop Science, v. 16, n. 7, p. 899-906, 2022.1835-27071835-2693http://hdl.handle.net/11449/24596610.21475/ajcs.22.16.07.p35482-s2.0-85138659349Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAustralian Journal of Crop Scienceinfo:eu-repo/semantics/openAccess2023-07-29T12:28:08Zoai:repositorio.unesp.br:11449/245966Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:45:49.413344Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatial relation of weed competition and soil fertility in soybean farming
title Spatial relation of weed competition and soil fertility in soybean farming
spellingShingle Spatial relation of weed competition and soil fertility in soybean farming
Furtado, José Augusto Lima
Geostatistics
Glycine max (l.)
Merril
Principal component analysis
Productivity
title_short Spatial relation of weed competition and soil fertility in soybean farming
title_full Spatial relation of weed competition and soil fertility in soybean farming
title_fullStr Spatial relation of weed competition and soil fertility in soybean farming
title_full_unstemmed Spatial relation of weed competition and soil fertility in soybean farming
title_sort Spatial relation of weed competition and soil fertility in soybean farming
author Furtado, José Augusto Lima
author_facet Furtado, José Augusto Lima
Almeida, Edmilson Igor Bernardo
de Oliveira, Leonardo Bernardes Taverny
dos Santos, Antonio Clementino
da Costa, Tiago Vieira
da Silva, Marcelo de Sousa
Souza, Jarlyson Bruno Costa [UNESP]
da Silva Sousa, Washington
Ponte, Islana Silva
Freitas, José Roberto Brito
author_role author
author2 Almeida, Edmilson Igor Bernardo
de Oliveira, Leonardo Bernardes Taverny
dos Santos, Antonio Clementino
da Costa, Tiago Vieira
da Silva, Marcelo de Sousa
Souza, Jarlyson Bruno Costa [UNESP]
da Silva Sousa, Washington
Ponte, Islana Silva
Freitas, José Roberto Brito
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal do Maranhão
Universidade Federal do Tocantins
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Furtado, José Augusto Lima
Almeida, Edmilson Igor Bernardo
de Oliveira, Leonardo Bernardes Taverny
dos Santos, Antonio Clementino
da Costa, Tiago Vieira
da Silva, Marcelo de Sousa
Souza, Jarlyson Bruno Costa [UNESP]
da Silva Sousa, Washington
Ponte, Islana Silva
Freitas, José Roberto Brito
dc.subject.por.fl_str_mv Geostatistics
Glycine max (l.)
Merril
Principal component analysis
Productivity
topic Geostatistics
Glycine max (l.)
Merril
Principal component analysis
Productivity
description Soybean is one of the main crops in Brazil, with a significant share of national agribusiness exports. Nonetheless, several factors such as weed competition and soil fertility directly affect soybean yield and productivity. This study aimed to analyse the spatial distribution of weeds as a function of soil fertility and soybean yield in farming fields. We carried out the experiment on a farm located in Brejo, Maranhão state, Brazil, through a geostatistical analysis of 60 sampling points on a regular grid of 10.0 m x 50.0 m. At these points, we collected phytosociological information on the weed community, soil fertility, and soybean yield. We performed principal component analysis (PCA) to determine the most responsive variables and to group them. We determined spatial dependence through geostatistical procedures, with the interpretation and adjustment of variogram components. We identified seven weed species, distributed across seven genera and six botanical families, of which 76.78% were eudicotyledons. In the cluster analysis, we grouped monocotyledonous species separately from eudicotyledons as explained by the morphophysiological contrasts between these botanical classes. Soybean yield did not correlate with soil fertility or weeds. These two factors can be considered only as a share of soybean productivity because their individual variations do not directly influence production factors. The efficient management of weeds and soil fertility should result in a more uniform and potencially more soybean yield when other conditioning factors are also effective.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-07-29T12:28:08Z
2023-07-29T12:28:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.21475/ajcs.22.16.07.p3548
Australian Journal of Crop Science, v. 16, n. 7, p. 899-906, 2022.
1835-2707
1835-2693
http://hdl.handle.net/11449/245966
10.21475/ajcs.22.16.07.p3548
2-s2.0-85138659349
url http://dx.doi.org/10.21475/ajcs.22.16.07.p3548
http://hdl.handle.net/11449/245966
identifier_str_mv Australian Journal of Crop Science, v. 16, n. 7, p. 899-906, 2022.
1835-2707
1835-2693
10.21475/ajcs.22.16.07.p3548
2-s2.0-85138659349
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Australian Journal of Crop Science
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 899-906
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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