SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v38n5p718-727/2018 http://hdl.handle.net/11449/186480 |
Resumo: | The elaboration of maps to characterize the spatial variability of soil attributes assists in the strategic planning and decision making of agricultural managers. Precision and accuracy of maps are related to the ideal sampling density to characterize the variability pattern. This study was conducted with the aim of identifying the sampling density to represent the variability of soil physical quality using attributes with different magnitudes of variation in an area cultivated with coffee. Three approaches were used to find the most adequate sampling density (geostatistical analysis, percentage of error associated with the sampling density, and coefficient of variation). A total of 145 soil samples were collected at a depth of 0-0.20 m at the crossing points of a regular grid with a spacing of 50 m. The percentage of clay, silt, and sand, macroporosity, microporosity, total pore volume, and soil density were determined. The data were submitted to descriptive statistical analysis. For elaborating the variability maps with up to 15% error and soil attributes with a coefficient of variation close to 50%, a sampling density of 3 points ha(-1) is suggested. |
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SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAISprecision agricultureCoffea arabicasampling errorgeostatisticThe elaboration of maps to characterize the spatial variability of soil attributes assists in the strategic planning and decision making of agricultural managers. Precision and accuracy of maps are related to the ideal sampling density to characterize the variability pattern. This study was conducted with the aim of identifying the sampling density to represent the variability of soil physical quality using attributes with different magnitudes of variation in an area cultivated with coffee. Three approaches were used to find the most adequate sampling density (geostatistical analysis, percentage of error associated with the sampling density, and coefficient of variation). A total of 145 soil samples were collected at a depth of 0-0.20 m at the crossing points of a regular grid with a spacing of 50 m. The percentage of clay, silt, and sand, macroporosity, microporosity, total pore volume, and soil density were determined. The data were submitted to descriptive statistical analysis. For elaborating the variability maps with up to 15% error and soil attributes with a coefficient of variation close to 50%, a sampling density of 3 points ha(-1) is suggested.National Scholarship Program abroad Don Carlos Antonio Lopez (BECAL)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ, Jaboticabal, SP, BrazilSao Paulo State Univ, Jaboticabal, SP, BrazilSoc Brasil Engenharia AgricolaUniversidade Estadual Paulista (Unesp)Silvero, Nelda E. Q. [UNESP]Marques Junior, Jose [UNESP]Siqueira, Diego S. [UNESP]Gomes, Romario P. [UNESP]Costa, Milene M. R. [UNESP]2019-10-05T01:12:32Z2019-10-05T01:12:32Z2018-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article718-727application/pdfhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v38n5p718-727/2018Engenharia Agricola. Jaboticabal: Soc Brasil Engenharia Agricola, v. 38, n. 5, p. 718-727, 2018.0100-6916http://hdl.handle.net/11449/18648010.1590/1809-4430-Eng.Agric.v38n5p718-727/2018S0100-69162018000500718WOS:000449640300010S0100-69162018000500718.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agricolainfo:eu-repo/semantics/openAccess2023-12-02T06:13:49Zoai:repositorio.unesp.br:11449/186480Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-02T06:13:49Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS |
title |
SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS |
spellingShingle |
SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS Silvero, Nelda E. Q. [UNESP] precision agriculture Coffea arabica sampling error geostatistic |
title_short |
SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS |
title_full |
SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS |
title_fullStr |
SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS |
title_full_unstemmed |
SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS |
title_sort |
SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS |
author |
Silvero, Nelda E. Q. [UNESP] |
author_facet |
Silvero, Nelda E. Q. [UNESP] Marques Junior, Jose [UNESP] Siqueira, Diego S. [UNESP] Gomes, Romario P. [UNESP] Costa, Milene M. R. [UNESP] |
author_role |
author |
author2 |
Marques Junior, Jose [UNESP] Siqueira, Diego S. [UNESP] Gomes, Romario P. [UNESP] Costa, Milene M. R. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Silvero, Nelda E. Q. [UNESP] Marques Junior, Jose [UNESP] Siqueira, Diego S. [UNESP] Gomes, Romario P. [UNESP] Costa, Milene M. R. [UNESP] |
dc.subject.por.fl_str_mv |
precision agriculture Coffea arabica sampling error geostatistic |
topic |
precision agriculture Coffea arabica sampling error geostatistic |
description |
The elaboration of maps to characterize the spatial variability of soil attributes assists in the strategic planning and decision making of agricultural managers. Precision and accuracy of maps are related to the ideal sampling density to characterize the variability pattern. This study was conducted with the aim of identifying the sampling density to represent the variability of soil physical quality using attributes with different magnitudes of variation in an area cultivated with coffee. Three approaches were used to find the most adequate sampling density (geostatistical analysis, percentage of error associated with the sampling density, and coefficient of variation). A total of 145 soil samples were collected at a depth of 0-0.20 m at the crossing points of a regular grid with a spacing of 50 m. The percentage of clay, silt, and sand, macroporosity, microporosity, total pore volume, and soil density were determined. The data were submitted to descriptive statistical analysis. For elaborating the variability maps with up to 15% error and soil attributes with a coefficient of variation close to 50%, a sampling density of 3 points ha(-1) is suggested. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09-01 2019-10-05T01:12:32Z 2019-10-05T01:12:32Z |
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/10.1590/1809-4430-Eng.Agric.v38n5p718-727/2018 Engenharia Agricola. Jaboticabal: Soc Brasil Engenharia Agricola, v. 38, n. 5, p. 718-727, 2018. 0100-6916 http://hdl.handle.net/11449/186480 10.1590/1809-4430-Eng.Agric.v38n5p718-727/2018 S0100-69162018000500718 WOS:000449640300010 S0100-69162018000500718.pdf |
url |
http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v38n5p718-727/2018 http://hdl.handle.net/11449/186480 |
identifier_str_mv |
Engenharia Agricola. Jaboticabal: Soc Brasil Engenharia Agricola, v. 38, n. 5, p. 718-727, 2018. 0100-6916 10.1590/1809-4430-Eng.Agric.v38n5p718-727/2018 S0100-69162018000500718 WOS:000449640300010 S0100-69162018000500718.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Engenharia Agricola |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
718-727 application/pdf |
dc.publisher.none.fl_str_mv |
Soc Brasil Engenharia Agricola |
publisher.none.fl_str_mv |
Soc Brasil Engenharia Agricola |
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 |
|
_version_ |
1799965144832278528 |