Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestone

Detalhes bibliográficos
Autor(a) principal: Matos,Alex Pinto de
Data de Publicação: 2022
Outros Autores: Matias,Sammy Sidney Rocha, Nóbrega,Julio César Azevedo, Nunes,Thais Paula Martins
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100446
Resumo: ABSTRACT The aim of the present study was to evaluate the spatial variability of the chemical attributes of the soil and macronutrients in leaves by means of the geostatistic analysis of a soil cultivated with banana in an area with two different methods of applying corrective. The study was carried out in the district of Cristino Castro, Piauí, where 21 soil samples were collected at a depth of 0.00-0.20 m from an area of incorporated limestone, and 21 samples from an area without limestone on the surface, giving a total of 42 duly georeferenced points. The following were analysed in the soil samples: pH, OM, P, K+, Ca2+, Mg2+, Al3+, H +Al; and the sum of bases, cation exchange capacity and base saturation were calculated. The Ca2+, Mg2+, K+ and P content was determined in leaves collected from the same locations as the soil. The results were investigated using analysis of variance, descriptive analysis and geostatistics, and by interpretating the levels of the chemical attributes of the soil and plants. The chemical attributes and nutrient content of the leaves showed a significant variation in the study areas. The use of geostatistics allowed zones with different patterns of behaviour to be identified, which can help in the specific management of soil correctives and fertiliser using precision agriculture. The spatial variability of Ca2+ in the soil was similar to the variability of the nutrient in the banana leaves.
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spelling Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestoneLimingNutrient levelsPrecision AgricultureMusa spp LABSTRACT The aim of the present study was to evaluate the spatial variability of the chemical attributes of the soil and macronutrients in leaves by means of the geostatistic analysis of a soil cultivated with banana in an area with two different methods of applying corrective. The study was carried out in the district of Cristino Castro, Piauí, where 21 soil samples were collected at a depth of 0.00-0.20 m from an area of incorporated limestone, and 21 samples from an area without limestone on the surface, giving a total of 42 duly georeferenced points. The following were analysed in the soil samples: pH, OM, P, K+, Ca2+, Mg2+, Al3+, H +Al; and the sum of bases, cation exchange capacity and base saturation were calculated. The Ca2+, Mg2+, K+ and P content was determined in leaves collected from the same locations as the soil. The results were investigated using analysis of variance, descriptive analysis and geostatistics, and by interpretating the levels of the chemical attributes of the soil and plants. The chemical attributes and nutrient content of the leaves showed a significant variation in the study areas. The use of geostatistics allowed zones with different patterns of behaviour to be identified, which can help in the specific management of soil correctives and fertiliser using precision agriculture. The spatial variability of Ca2+ in the soil was similar to the variability of the nutrient in the banana leaves.Universidade Federal do Ceará2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100446Revista Ciência Agronômica v.53 2022reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20220047info:eu-repo/semantics/openAccessMatos,Alex Pinto deMatias,Sammy Sidney RochaNóbrega,Julio César AzevedoNunes,Thais Paula Martinseng2022-08-24T00:00:00Zoai:scielo:S1806-66902022000100446Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2022-08-24T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestone
title Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestone
spellingShingle Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestone
Matos,Alex Pinto de
Liming
Nutrient levels
Precision Agriculture
Musa spp L
title_short Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestone
title_full Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestone
title_fullStr Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestone
title_full_unstemmed Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestone
title_sort Spatial distribution of soil attributes and macronutrients in banana leaves under the application of limestone
author Matos,Alex Pinto de
author_facet Matos,Alex Pinto de
Matias,Sammy Sidney Rocha
Nóbrega,Julio César Azevedo
Nunes,Thais Paula Martins
author_role author
author2 Matias,Sammy Sidney Rocha
Nóbrega,Julio César Azevedo
Nunes,Thais Paula Martins
author2_role author
author
author
dc.contributor.author.fl_str_mv Matos,Alex Pinto de
Matias,Sammy Sidney Rocha
Nóbrega,Julio César Azevedo
Nunes,Thais Paula Martins
dc.subject.por.fl_str_mv Liming
Nutrient levels
Precision Agriculture
Musa spp L
topic Liming
Nutrient levels
Precision Agriculture
Musa spp L
description ABSTRACT The aim of the present study was to evaluate the spatial variability of the chemical attributes of the soil and macronutrients in leaves by means of the geostatistic analysis of a soil cultivated with banana in an area with two different methods of applying corrective. The study was carried out in the district of Cristino Castro, Piauí, where 21 soil samples were collected at a depth of 0.00-0.20 m from an area of incorporated limestone, and 21 samples from an area without limestone on the surface, giving a total of 42 duly georeferenced points. The following were analysed in the soil samples: pH, OM, P, K+, Ca2+, Mg2+, Al3+, H +Al; and the sum of bases, cation exchange capacity and base saturation were calculated. The Ca2+, Mg2+, K+ and P content was determined in leaves collected from the same locations as the soil. The results were investigated using analysis of variance, descriptive analysis and geostatistics, and by interpretating the levels of the chemical attributes of the soil and plants. The chemical attributes and nutrient content of the leaves showed a significant variation in the study areas. The use of geostatistics allowed zones with different patterns of behaviour to be identified, which can help in the specific management of soil correctives and fertiliser using precision agriculture. The spatial variability of Ca2+ in the soil was similar to the variability of the nutrient in the banana leaves.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S1806-66902022000100446
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100446
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20220047
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.53 2022
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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