Spatial variability of soil physical properties in longitudinal profiles

Detalhes bibliográficos
Autor(a) principal: FRANCO,THIAGO C.R.
Data de Publicação: 2022
Outros Autores: FERRAZ,GABRIEL A.S, CARVALHO,LUIS C.C., SILVA,FÁBIO M., ALVES,MARCELO C., MARIN,DIEGO B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000301502
Resumo: Abstract The spatial variability of physical properties, such as bulk density, penetration resistance and gravimetric moisture, obtained by applying geostatistics in precision agriculture, can effectively indicate the physical behavior of agricultural soils in longitudinal profiles. In this way, the spatial dependence of physical properties in streets of coffee plantations with different lengths was evaluated in the southern Minas Gerais, Brazil. For this purpose, five longitudinal profiles were measured in streets, each one with depths ranging from 0 to 0.60 m, in six layers of 0.10 m, being the database composed of 432 property, 144 by property, submitted to the ordinary kriging geostatistical method in order to obtain spatial variability maps using the R software. They were evaluated by the lower mean cross-validation error of theoretical models fitted by ordinary least squares (OLS), being detected in higher superficial layers, from 0 to 0.30 m, lower bulk density and lower penetration resistance, with variable gravimetric moisture in the length direction of some streets of coffee plantations, being that these properties presented different structures of spatial dependence for each street.
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spelling Spatial variability of soil physical properties in longitudinal profilesPrecision agriculturegeostatisticssoil physicsagricultural managementAbstract The spatial variability of physical properties, such as bulk density, penetration resistance and gravimetric moisture, obtained by applying geostatistics in precision agriculture, can effectively indicate the physical behavior of agricultural soils in longitudinal profiles. In this way, the spatial dependence of physical properties in streets of coffee plantations with different lengths was evaluated in the southern Minas Gerais, Brazil. For this purpose, five longitudinal profiles were measured in streets, each one with depths ranging from 0 to 0.60 m, in six layers of 0.10 m, being the database composed of 432 property, 144 by property, submitted to the ordinary kriging geostatistical method in order to obtain spatial variability maps using the R software. They were evaluated by the lower mean cross-validation error of theoretical models fitted by ordinary least squares (OLS), being detected in higher superficial layers, from 0 to 0.30 m, lower bulk density and lower penetration resistance, with variable gravimetric moisture in the length direction of some streets of coffee plantations, being that these properties presented different structures of spatial dependence for each street.Academia Brasileira de Ciências2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000301502Anais da Academia Brasileira de Ciências v.94 n.2 2022reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202220200411info:eu-repo/semantics/openAccessFRANCO,THIAGO C.R.FERRAZ,GABRIEL A.SCARVALHO,LUIS C.C.SILVA,FÁBIO M.ALVES,MARCELO C.MARIN,DIEGO B.eng2022-03-29T00:00:00Zoai:scielo:S0001-37652022000301502Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2022-03-29T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Spatial variability of soil physical properties in longitudinal profiles
title Spatial variability of soil physical properties in longitudinal profiles
spellingShingle Spatial variability of soil physical properties in longitudinal profiles
FRANCO,THIAGO C.R.
Precision agriculture
geostatistics
soil physics
agricultural management
title_short Spatial variability of soil physical properties in longitudinal profiles
title_full Spatial variability of soil physical properties in longitudinal profiles
title_fullStr Spatial variability of soil physical properties in longitudinal profiles
title_full_unstemmed Spatial variability of soil physical properties in longitudinal profiles
title_sort Spatial variability of soil physical properties in longitudinal profiles
author FRANCO,THIAGO C.R.
author_facet FRANCO,THIAGO C.R.
FERRAZ,GABRIEL A.S
CARVALHO,LUIS C.C.
SILVA,FÁBIO M.
ALVES,MARCELO C.
MARIN,DIEGO B.
author_role author
author2 FERRAZ,GABRIEL A.S
CARVALHO,LUIS C.C.
SILVA,FÁBIO M.
ALVES,MARCELO C.
MARIN,DIEGO B.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv FRANCO,THIAGO C.R.
FERRAZ,GABRIEL A.S
CARVALHO,LUIS C.C.
SILVA,FÁBIO M.
ALVES,MARCELO C.
MARIN,DIEGO B.
dc.subject.por.fl_str_mv Precision agriculture
geostatistics
soil physics
agricultural management
topic Precision agriculture
geostatistics
soil physics
agricultural management
description Abstract The spatial variability of physical properties, such as bulk density, penetration resistance and gravimetric moisture, obtained by applying geostatistics in precision agriculture, can effectively indicate the physical behavior of agricultural soils in longitudinal profiles. In this way, the spatial dependence of physical properties in streets of coffee plantations with different lengths was evaluated in the southern Minas Gerais, Brazil. For this purpose, five longitudinal profiles were measured in streets, each one with depths ranging from 0 to 0.60 m, in six layers of 0.10 m, being the database composed of 432 property, 144 by property, submitted to the ordinary kriging geostatistical method in order to obtain spatial variability maps using the R software. They were evaluated by the lower mean cross-validation error of theoretical models fitted by ordinary least squares (OLS), being detected in higher superficial layers, from 0 to 0.30 m, lower bulk density and lower penetration resistance, with variable gravimetric moisture in the length direction of some streets of coffee plantations, being that these properties presented different structures of spatial dependence for each street.
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
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000301502
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000301502
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202220200411
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 Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.94 n.2 2022
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
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instname_str Academia Brasileira de Ciências (ABC)
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reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
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