Soil chemical quality in agricultural land uses in the semiarid of Bahia

Detalhes bibliográficos
Autor(a) principal: Salviano, Alessandra Monteiro
Data de Publicação: 2018
Outros Autores: Olszevski, Nelci, Arcoverde, Sálvio Napoleão Soares, de Melo, Stefeson Bezerra, Giongo, Vanderlise, Cunha, Tony Jarbas Ferreira, Pereira, Janielle Souza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Agrarian (Dourados. Online)
Texto Completo: https://ojs.ufgd.edu.br/index.php/agrarian/article/view/7443
Resumo: The aim of this work is to define indices of soil chemical quality in intense agricultural activity area surrounding Sobradinho Lake, State of Bahia, Brazil, by means of multivariate statistical techniques. Based on the factor scores, it was determined soil chemical quality index for depths of 0-0.10, 0.10-0.20 and 0.20-0.40 m, respectively, classifying soils as good, fair and poor, according to the performance of its attributes. Then realized the Discriminative Analysis in order to validate the results obtained and, knowing the chemical soil attributes that influence and are associated with soil quality in agriculture of the region. In this way, among the main results could be observed that the attributes exchangeable sodium percentage (ESP) and organic matter (OM) stood out as indicators of soil quality. The ESP was the more important attribute in discrimination models in the depths of 0.00-0.10 and 0.10-0.20 m and OM in the 0.20-0.40 m layer. These variables are the main responsible for discrimination and classification of soil groups. In general, the chemical quality of soils is not considered ideal mainly due to the low contents OM and the extremely sandy texture, denoting environmental fragility.
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spelling Soil chemical quality in agricultural land uses in the semiarid of Bahiaanálise multivariadaatributos químicosmanejo do soloThe aim of this work is to define indices of soil chemical quality in intense agricultural activity area surrounding Sobradinho Lake, State of Bahia, Brazil, by means of multivariate statistical techniques. Based on the factor scores, it was determined soil chemical quality index for depths of 0-0.10, 0.10-0.20 and 0.20-0.40 m, respectively, classifying soils as good, fair and poor, according to the performance of its attributes. Then realized the Discriminative Analysis in order to validate the results obtained and, knowing the chemical soil attributes that influence and are associated with soil quality in agriculture of the region. In this way, among the main results could be observed that the attributes exchangeable sodium percentage (ESP) and organic matter (OM) stood out as indicators of soil quality. The ESP was the more important attribute in discrimination models in the depths of 0.00-0.10 and 0.10-0.20 m and OM in the 0.20-0.40 m layer. These variables are the main responsible for discrimination and classification of soil groups. In general, the chemical quality of soils is not considered ideal mainly due to the low contents OM and the extremely sandy texture, denoting environmental fragility.Editora UFGD2018-11-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.ufgd.edu.br/index.php/agrarian/article/view/744310.30612/agrarian.v11i42.7443Agrarian; v. 11 n. 42 (2018); 328-336Agrarian Journal; Vol. 11 No. 42 (2018); 328-3361984-2538reponame:Agrarian (Dourados. Online)instname:Universidade Federal da Grande Dourados (UFGD)instacron:UFGDenghttps://ojs.ufgd.edu.br/index.php/agrarian/article/view/7443/4697Copyright (c) 2018 Agrarianinfo:eu-repo/semantics/openAccessSalviano, Alessandra MonteiroOlszevski, NelciArcoverde, Sálvio Napoleão Soaresde Melo, Stefeson BezerraGiongo, VanderliseCunha, Tony Jarbas FerreiraPereira, Janielle Souza2018-11-07T16:03:29Zoai:ojs.pkp.sfu.ca:article/7443Revistahttps://ojs.ufgd.edu.br/index.php/agrarianPUBhttps://ojs.ufgd.edu.br/index.php/agrarian/oairevistaagrarian@ufgd.edu.br||1984-25381984-252Xopendoar:http://ojs.ufgd.edu.br/index.php/agrarian/oaihttp://ojs.ufgd.edu.br/index.php/agrarian/oai2018-11-07T16:03:29Agrarian (Dourados. Online) - Universidade Federal da Grande Dourados (UFGD)false
dc.title.none.fl_str_mv Soil chemical quality in agricultural land uses in the semiarid of Bahia
title Soil chemical quality in agricultural land uses in the semiarid of Bahia
spellingShingle Soil chemical quality in agricultural land uses in the semiarid of Bahia
Salviano, Alessandra Monteiro
análise multivariada
atributos químicos
manejo do solo
title_short Soil chemical quality in agricultural land uses in the semiarid of Bahia
title_full Soil chemical quality in agricultural land uses in the semiarid of Bahia
title_fullStr Soil chemical quality in agricultural land uses in the semiarid of Bahia
title_full_unstemmed Soil chemical quality in agricultural land uses in the semiarid of Bahia
title_sort Soil chemical quality in agricultural land uses in the semiarid of Bahia
author Salviano, Alessandra Monteiro
author_facet Salviano, Alessandra Monteiro
Olszevski, Nelci
Arcoverde, Sálvio Napoleão Soares
de Melo, Stefeson Bezerra
Giongo, Vanderlise
Cunha, Tony Jarbas Ferreira
Pereira, Janielle Souza
author_role author
author2 Olszevski, Nelci
Arcoverde, Sálvio Napoleão Soares
de Melo, Stefeson Bezerra
Giongo, Vanderlise
Cunha, Tony Jarbas Ferreira
Pereira, Janielle Souza
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Salviano, Alessandra Monteiro
Olszevski, Nelci
Arcoverde, Sálvio Napoleão Soares
de Melo, Stefeson Bezerra
Giongo, Vanderlise
Cunha, Tony Jarbas Ferreira
Pereira, Janielle Souza
dc.subject.por.fl_str_mv análise multivariada
atributos químicos
manejo do solo
topic análise multivariada
atributos químicos
manejo do solo
description The aim of this work is to define indices of soil chemical quality in intense agricultural activity area surrounding Sobradinho Lake, State of Bahia, Brazil, by means of multivariate statistical techniques. Based on the factor scores, it was determined soil chemical quality index for depths of 0-0.10, 0.10-0.20 and 0.20-0.40 m, respectively, classifying soils as good, fair and poor, according to the performance of its attributes. Then realized the Discriminative Analysis in order to validate the results obtained and, knowing the chemical soil attributes that influence and are associated with soil quality in agriculture of the region. In this way, among the main results could be observed that the attributes exchangeable sodium percentage (ESP) and organic matter (OM) stood out as indicators of soil quality. The ESP was the more important attribute in discrimination models in the depths of 0.00-0.10 and 0.10-0.20 m and OM in the 0.20-0.40 m layer. These variables are the main responsible for discrimination and classification of soil groups. In general, the chemical quality of soils is not considered ideal mainly due to the low contents OM and the extremely sandy texture, denoting environmental fragility.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.ufgd.edu.br/index.php/agrarian/article/view/7443
10.30612/agrarian.v11i42.7443
url https://ojs.ufgd.edu.br/index.php/agrarian/article/view/7443
identifier_str_mv 10.30612/agrarian.v11i42.7443
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.ufgd.edu.br/index.php/agrarian/article/view/7443/4697
dc.rights.driver.fl_str_mv Copyright (c) 2018 Agrarian
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Agrarian
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora UFGD
publisher.none.fl_str_mv Editora UFGD
dc.source.none.fl_str_mv Agrarian; v. 11 n. 42 (2018); 328-336
Agrarian Journal; Vol. 11 No. 42 (2018); 328-336
1984-2538
reponame:Agrarian (Dourados. Online)
instname:Universidade Federal da Grande Dourados (UFGD)
instacron:UFGD
instname_str Universidade Federal da Grande Dourados (UFGD)
instacron_str UFGD
institution UFGD
reponame_str Agrarian (Dourados. Online)
collection Agrarian (Dourados. Online)
repository.name.fl_str_mv Agrarian (Dourados. Online) - Universidade Federal da Grande Dourados (UFGD)
repository.mail.fl_str_mv revistaagrarian@ufgd.edu.br||
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