Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/53609 |
Resumo: | The crop systems adopted in the Amazônia region have been studied several times in terms of the variability and to indicate the soil attributes more sensitive to the different crops. Thus, the objective of this work was to apply multivariate techniques in order to identify the chemical attributes most sensitive to environmental changes in different crop systems in Western Amazonia, Brazil. The research was conducted in five rural properties located in the Humaitá city region, Western Amazonia, Brazil. There were selected four environments with natural characteristics (Native Forest - NF) and five cropping systems (Grazing, Cassava, Açaí, Agroforestry and Reforestation). In the selected areas, soil samples were collected at depths layers of 0.0-0.05 m; 0.05-0.1 m and 0.1-0.2 m and the following chemical analyzes were performed: pH in water, Ca2+, Mg2+, K +, Resin-P, phosphorus bio-available particulate (Pbp), OC, Al3+, H++Al3+ and from these results SB, T, t, m% and V% were calculated. Multivariate statistical techniques were used to verify similarities between the crop systems in the attempt to relate the crops grown and the chemical attributes. The multivariate analysis was essential in the crop systems distinction, as well as to describe the relationship with the chemical properties. The results demonstrate and reinforce the existing variability between crop systems, with emphasis on the variation in crop systems, compared to natural environments. |
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Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, BrazilChemical attributesMultivariate techniquesNative forestSoil attributes.AgronomyThe crop systems adopted in the Amazônia region have been studied several times in terms of the variability and to indicate the soil attributes more sensitive to the different crops. Thus, the objective of this work was to apply multivariate techniques in order to identify the chemical attributes most sensitive to environmental changes in different crop systems in Western Amazonia, Brazil. The research was conducted in five rural properties located in the Humaitá city region, Western Amazonia, Brazil. There were selected four environments with natural characteristics (Native Forest - NF) and five cropping systems (Grazing, Cassava, Açaí, Agroforestry and Reforestation). In the selected areas, soil samples were collected at depths layers of 0.0-0.05 m; 0.05-0.1 m and 0.1-0.2 m and the following chemical analyzes were performed: pH in water, Ca2+, Mg2+, K +, Resin-P, phosphorus bio-available particulate (Pbp), OC, Al3+, H++Al3+ and from these results SB, T, t, m% and V% were calculated. Multivariate statistical techniques were used to verify similarities between the crop systems in the attempt to relate the crops grown and the chemical attributes. The multivariate analysis was essential in the crop systems distinction, as well as to describe the relationship with the chemical properties. The results demonstrate and reinforce the existing variability between crop systems, with emphasis on the variation in crop systems, compared to natural environments.EDUFU2020-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/5360910.14393/BJ-v36n0a2020-53609Bioscience Journal ; Vol. 36 (2020): Supplement1; 97-108Bioscience Journal ; v. 36 (2020): Supplement1; 97-1081981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/53609/31083Brazil; Contemporary Copyright (c) 2020 Half Weinberg Corrêa Jordão, Milton César Costa Campos, Bruno Campos Mantovanelli, José César Frozzi, José Maurício da Cunha; Leonardo Chechi; Julimar da Silva Fonsecahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessJordão, Half Weinberg Corrêa Campos, Milton César Costa Mantovanelli, Bruno Campos Frozzi, José CésarCunha, José Maurício daChechi, LeonardoFonseca, Julimar da Silva 2022-05-25T18:41:02Zoai:ojs.www.seer.ufu.br:article/53609Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-05-25T18:41:02Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil |
title |
Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil |
spellingShingle |
Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil Jordão, Half Weinberg Corrêa Chemical attributes Multivariate techniques Native forest Soil attributes. Agronomy |
title_short |
Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil |
title_full |
Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil |
title_fullStr |
Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil |
title_full_unstemmed |
Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil |
title_sort |
Attributes of pedoindicator soils in areas cultivated with typical crops in the Western Amazon, Brazil |
author |
Jordão, Half Weinberg Corrêa |
author_facet |
Jordão, Half Weinberg Corrêa Campos, Milton César Costa Mantovanelli, Bruno Campos Frozzi, José César Cunha, José Maurício da Chechi, Leonardo Fonseca, Julimar da Silva |
author_role |
author |
author2 |
Campos, Milton César Costa Mantovanelli, Bruno Campos Frozzi, José César Cunha, José Maurício da Chechi, Leonardo Fonseca, Julimar da Silva |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Jordão, Half Weinberg Corrêa Campos, Milton César Costa Mantovanelli, Bruno Campos Frozzi, José César Cunha, José Maurício da Chechi, Leonardo Fonseca, Julimar da Silva |
dc.subject.por.fl_str_mv |
Chemical attributes Multivariate techniques Native forest Soil attributes. Agronomy |
topic |
Chemical attributes Multivariate techniques Native forest Soil attributes. Agronomy |
description |
The crop systems adopted in the Amazônia region have been studied several times in terms of the variability and to indicate the soil attributes more sensitive to the different crops. Thus, the objective of this work was to apply multivariate techniques in order to identify the chemical attributes most sensitive to environmental changes in different crop systems in Western Amazonia, Brazil. The research was conducted in five rural properties located in the Humaitá city region, Western Amazonia, Brazil. There were selected four environments with natural characteristics (Native Forest - NF) and five cropping systems (Grazing, Cassava, Açaí, Agroforestry and Reforestation). In the selected areas, soil samples were collected at depths layers of 0.0-0.05 m; 0.05-0.1 m and 0.1-0.2 m and the following chemical analyzes were performed: pH in water, Ca2+, Mg2+, K +, Resin-P, phosphorus bio-available particulate (Pbp), OC, Al3+, H++Al3+ and from these results SB, T, t, m% and V% were calculated. Multivariate statistical techniques were used to verify similarities between the crop systems in the attempt to relate the crops grown and the chemical attributes. The multivariate analysis was essential in the crop systems distinction, as well as to describe the relationship with the chemical properties. The results demonstrate and reinforce the existing variability between crop systems, with emphasis on the variation in crop systems, compared to natural environments. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-30 |
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://seer.ufu.br/index.php/biosciencejournal/article/view/53609 10.14393/BJ-v36n0a2020-53609 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/53609 |
identifier_str_mv |
10.14393/BJ-v36n0a2020-53609 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/53609/31083 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 36 (2020): Supplement1; 97-108 Bioscience Journal ; v. 36 (2020): Supplement1; 97-108 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
_version_ |
1797069082410876928 |