VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATION
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/01000683rbcs20140429 http://hdl.handle.net/11449/160678 |
Resumo: | Understanding the agricultural potential of a soil is often based only on interpretation by univariate analyses, and this may increase the scale of the problems when selecting appropriate soil management practices. Thus, multivariate analysis is an alternative since it is a set of procedures aimed at grouping individuals and discriminating between these groups. It also serves as an instrument for selection of variables in that those with the highest weight in the construction of the first principal components are likely to better represent the data set under analysis. The aim of this study was to identify soil properties that best explain the spatial variability of production of common bean by means of multivariate analyses. In the 2006/2007 crop year in Selviria, MS, Brazil, we analyzed common bean yield in relation to some physical and chemical properties of an Oxisol cultivated under high technological management conditions in a minimum tillage system with center pivot irrigation. A geostatistical grid was demarcated for collection of soil and plant data, with 117 sampling points in an area of 2,025 m(2) and a homogeneous slope of 0.055 m m(-1). Classification into groups was carried out by three methods: the hierarchical grouping method, the non-hierarchical k-means method, and principal component analysis. We may conclude that multivariate analysis combined with precision agriculture is an important tool to assist localized management. Principal component analysis allowed us to identify three groups that explained 86.3 % of the total data variability. These groups consisted of the physical properties of bulk density, total porosity, and gravimetric and volumetric moisture, which showed greater explanatory power for yield variation. |
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VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATIONsoil managementquality of soilagricultural sustainabilityUnderstanding the agricultural potential of a soil is often based only on interpretation by univariate analyses, and this may increase the scale of the problems when selecting appropriate soil management practices. Thus, multivariate analysis is an alternative since it is a set of procedures aimed at grouping individuals and discriminating between these groups. It also serves as an instrument for selection of variables in that those with the highest weight in the construction of the first principal components are likely to better represent the data set under analysis. The aim of this study was to identify soil properties that best explain the spatial variability of production of common bean by means of multivariate analyses. In the 2006/2007 crop year in Selviria, MS, Brazil, we analyzed common bean yield in relation to some physical and chemical properties of an Oxisol cultivated under high technological management conditions in a minimum tillage system with center pivot irrigation. A geostatistical grid was demarcated for collection of soil and plant data, with 117 sampling points in an area of 2,025 m(2) and a homogeneous slope of 0.055 m m(-1). Classification into groups was carried out by three methods: the hierarchical grouping method, the non-hierarchical k-means method, and principal component analysis. We may conclude that multivariate analysis combined with precision agriculture is an important tool to assist localized management. Principal component analysis allowed us to identify three groups that explained 86.3 % of the total data variability. These groups consisted of the physical properties of bulk density, total porosity, and gravimetric and volumetric moisture, which showed greater explanatory power for yield variation.Univ Estadual Mato Grosso do Sul, Unidade Univ Aquidauana, Programa Posgrad Agron, Aquidauana, MS, BrazilUniv Estadual Paulista, Fac Engn, Ilha Solteira, SP, BrazilUniv Estadual Paulista, Fac Engn, Programa Posgrad Agron, Ilha Solteira, SP, BrazilUniv Estadual Paulista, Fac Engn, Dept Zootecnia, Ilha Solteira, SP, BrazilUniv Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SP, BrazilUniv Estadual Paulista, Fac Engn, Ilha Solteira, SP, BrazilUniv Estadual Paulista, Fac Engn, Programa Posgrad Agron, Ilha Solteira, SP, BrazilUniv Estadual Paulista, Fac Engn, Dept Zootecnia, Ilha Solteira, SP, BrazilUniv Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SP, BrazilSoc Brasileira De Ciencia Do SoloUniversidade Estadual de Mato Grosso do Sul (UEMS)Universidade Estadual Paulista (Unesp)Santana da Silva, Evelize NayaraMontanari, Rafael [UNESP]Panosso, Alan Rodrigo [UNESP]Correa, Adriany Rodrigues [UNESP]Tomaz, Pamela Kerlyane [UNESP]Ferraudo, Antonio Sergio [UNESP]2018-11-26T16:16:15Z2018-11-26T16:16:15Z2015-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article598-607application/pdfhttp://dx.doi.org/10.1590/01000683rbcs20140429Revista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 39, n. 2, p. 598-607, 2015.0100-0683http://hdl.handle.net/11449/16067810.1590/01000683rbcs20140429S0100-06832015000200598WOS:000358443300027S0100-06832015000200598.pdf06736998678242410000-0002-3557-2362Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira De Ciencia Do Solo0,679info:eu-repo/semantics/openAccess2024-01-20T06:31:54Zoai:repositorio.unesp.br:11449/160678Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-01-20T06:31:54Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATION |
title |
VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATION |
spellingShingle |
VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATION Santana da Silva, Evelize Nayara soil management quality of soil agricultural sustainability |
title_short |
VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATION |
title_full |
VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATION |
title_fullStr |
VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATION |
title_full_unstemmed |
VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATION |
title_sort |
VARIABILITY OF PHYSICAL AND CHEMICAL SOIL PROPERTIES AND PRODUCTION COMMON BEAN IN A MINIMUM TILLAGE SYSTEM WITH IRRIGATION |
author |
Santana da Silva, Evelize Nayara |
author_facet |
Santana da Silva, Evelize Nayara Montanari, Rafael [UNESP] Panosso, Alan Rodrigo [UNESP] Correa, Adriany Rodrigues [UNESP] Tomaz, Pamela Kerlyane [UNESP] Ferraudo, Antonio Sergio [UNESP] |
author_role |
author |
author2 |
Montanari, Rafael [UNESP] Panosso, Alan Rodrigo [UNESP] Correa, Adriany Rodrigues [UNESP] Tomaz, Pamela Kerlyane [UNESP] Ferraudo, Antonio Sergio [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Mato Grosso do Sul (UEMS) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Santana da Silva, Evelize Nayara Montanari, Rafael [UNESP] Panosso, Alan Rodrigo [UNESP] Correa, Adriany Rodrigues [UNESP] Tomaz, Pamela Kerlyane [UNESP] Ferraudo, Antonio Sergio [UNESP] |
dc.subject.por.fl_str_mv |
soil management quality of soil agricultural sustainability |
topic |
soil management quality of soil agricultural sustainability |
description |
Understanding the agricultural potential of a soil is often based only on interpretation by univariate analyses, and this may increase the scale of the problems when selecting appropriate soil management practices. Thus, multivariate analysis is an alternative since it is a set of procedures aimed at grouping individuals and discriminating between these groups. It also serves as an instrument for selection of variables in that those with the highest weight in the construction of the first principal components are likely to better represent the data set under analysis. The aim of this study was to identify soil properties that best explain the spatial variability of production of common bean by means of multivariate analyses. In the 2006/2007 crop year in Selviria, MS, Brazil, we analyzed common bean yield in relation to some physical and chemical properties of an Oxisol cultivated under high technological management conditions in a minimum tillage system with center pivot irrigation. A geostatistical grid was demarcated for collection of soil and plant data, with 117 sampling points in an area of 2,025 m(2) and a homogeneous slope of 0.055 m m(-1). Classification into groups was carried out by three methods: the hierarchical grouping method, the non-hierarchical k-means method, and principal component analysis. We may conclude that multivariate analysis combined with precision agriculture is an important tool to assist localized management. Principal component analysis allowed us to identify three groups that explained 86.3 % of the total data variability. These groups consisted of the physical properties of bulk density, total porosity, and gravimetric and volumetric moisture, which showed greater explanatory power for yield variation. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-03-01 2018-11-26T16:16:15Z 2018-11-26T16:16:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/01000683rbcs20140429 Revista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 39, n. 2, p. 598-607, 2015. 0100-0683 http://hdl.handle.net/11449/160678 10.1590/01000683rbcs20140429 S0100-06832015000200598 WOS:000358443300027 S0100-06832015000200598.pdf 0673699867824241 0000-0002-3557-2362 |
url |
http://dx.doi.org/10.1590/01000683rbcs20140429 http://hdl.handle.net/11449/160678 |
identifier_str_mv |
Revista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 39, n. 2, p. 598-607, 2015. 0100-0683 10.1590/01000683rbcs20140429 S0100-06832015000200598 WOS:000358443300027 S0100-06832015000200598.pdf 0673699867824241 0000-0002-3557-2362 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Revista Brasileira De Ciencia Do Solo 0,679 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
598-607 application/pdf |
dc.publisher.none.fl_str_mv |
Soc Brasileira De Ciencia Do Solo |
publisher.none.fl_str_mv |
Soc Brasileira De Ciencia Do Solo |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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