Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/29421 |
Resumo: | Studies on the spatial behavior of soil attributes in the Amazon region are still very incipient. In this sense, the objective of this work was to evaluate the chemical attributes through multivariate techniques and geoestatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil. The study was carried out in a farm in Humaitá city, Amazonas State. The studied area was divided into 70.00 m x 70.00 mmeshes with a regular spacing of 10 m, totaling 64 points and then, soil samples were collected at 0.0-0.2 m and 0.4-0.6 m depths. We performed chemical analyses of the attributes of soil. Then, it was applied descriptive statistics, multivariate and geostatistics. In conclusion, our findings suggest that for most of the chemical attributes was observed spatial dependence in both areas, with DSD varying from weak to moderate, with prevalence of the weak one. The multivariate analysis was efficient in the selection of chemical soil attributes that best represented the agroforestry environments and sugarcane. The results of this study will serve as a basis for further studies on these environments and other systems within the region; moreover serving as a basis for agricultural planning aiming a better environmental sustainability. |
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Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil Agricultural SciencesStudies on the spatial behavior of soil attributes in the Amazon region are still very incipient. In this sense, the objective of this work was to evaluate the chemical attributes through multivariate techniques and geoestatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil. The study was carried out in a farm in Humaitá city, Amazonas State. The studied area was divided into 70.00 m x 70.00 mmeshes with a regular spacing of 10 m, totaling 64 points and then, soil samples were collected at 0.0-0.2 m and 0.4-0.6 m depths. We performed chemical analyses of the attributes of soil. Then, it was applied descriptive statistics, multivariate and geostatistics. In conclusion, our findings suggest that for most of the chemical attributes was observed spatial dependence in both areas, with DSD varying from weak to moderate, with prevalence of the weak one. The multivariate analysis was efficient in the selection of chemical soil attributes that best represented the agroforestry environments and sugarcane. The results of this study will serve as a basis for further studies on these environments and other systems within the region; moreover serving as a basis for agricultural planning aiming a better environmental sustainability.EDUFU2016-01-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/2942110.14393/BJ-v32n1a2016-29421Bioscience Journal ; Vol. 32 No. 1 (2016): Jan./Feb.; 61-72Bioscience Journal ; v. 32 n. 1 (2016): Jan./Feb.; 61-721981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/biosciencejournal/article/view/29421/17752Brazil; ContemporaryCopyright (c) 2016 Renato Eleoterio de Aquino, Milton Cesar Costa Campos, Marcelo Dayron Rodrigues Soares, Ivanildo Amorim Oliveira, Uilson Franciscon, Douglas Marcelo Pinheiro Silva, Jose Mauricio Cunhahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAquino, Renato Eleoterio deCampos, Milton Cesar CostaSoares, Marcelo Dayron RodriguesOliveira, Ivanildo AmorimFranciscon, UilsonSilva, Douglas Marcelo PinheiroCunha, Jose Mauricio2022-02-23T11:26:36Zoai:ojs.www.seer.ufu.br:article/29421Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-23T11:26:36Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil |
title |
Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil |
spellingShingle |
Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil Aquino, Renato Eleoterio de Agricultural Sciences |
title_short |
Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil |
title_full |
Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil |
title_fullStr |
Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil |
title_full_unstemmed |
Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil |
title_sort |
Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil |
author |
Aquino, Renato Eleoterio de |
author_facet |
Aquino, Renato Eleoterio de Campos, Milton Cesar Costa Soares, Marcelo Dayron Rodrigues Oliveira, Ivanildo Amorim Franciscon, Uilson Silva, Douglas Marcelo Pinheiro Cunha, Jose Mauricio |
author_role |
author |
author2 |
Campos, Milton Cesar Costa Soares, Marcelo Dayron Rodrigues Oliveira, Ivanildo Amorim Franciscon, Uilson Silva, Douglas Marcelo Pinheiro Cunha, Jose Mauricio |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Aquino, Renato Eleoterio de Campos, Milton Cesar Costa Soares, Marcelo Dayron Rodrigues Oliveira, Ivanildo Amorim Franciscon, Uilson Silva, Douglas Marcelo Pinheiro Cunha, Jose Mauricio |
dc.subject.por.fl_str_mv |
Agricultural Sciences |
topic |
Agricultural Sciences |
description |
Studies on the spatial behavior of soil attributes in the Amazon region are still very incipient. In this sense, the objective of this work was to evaluate the chemical attributes through multivariate techniques and geoestatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil. The study was carried out in a farm in Humaitá city, Amazonas State. The studied area was divided into 70.00 m x 70.00 mmeshes with a regular spacing of 10 m, totaling 64 points and then, soil samples were collected at 0.0-0.2 m and 0.4-0.6 m depths. We performed chemical analyses of the attributes of soil. Then, it was applied descriptive statistics, multivariate and geostatistics. In conclusion, our findings suggest that for most of the chemical attributes was observed spatial dependence in both areas, with DSD varying from weak to moderate, with prevalence of the weak one. The multivariate analysis was efficient in the selection of chemical soil attributes that best represented the agroforestry environments and sugarcane. The results of this study will serve as a basis for further studies on these environments and other systems within the region; moreover serving as a basis for agricultural planning aiming a better environmental sustainability. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-20 |
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/29421 10.14393/BJ-v32n1a2016-29421 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/29421 |
identifier_str_mv |
10.14393/BJ-v32n1a2016-29421 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/29421/17752 |
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. 32 No. 1 (2016): Jan./Feb.; 61-72 Bioscience Journal ; v. 32 n. 1 (2016): Jan./Feb.; 61-72 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_ |
1797069075771293696 |