Spatial variability of soil fertility attributes and productivity in a coffee crop farm

Detalhes bibliográficos
Autor(a) principal: Ferraz, G. A. S.
Data de Publicação: 2019
Outros Autores: Avelar, R. C., Bento, N. L., Souza, F. R., Ferraz, P. F. P., Damasceno, F. A., Barbari, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/41304
Resumo: Coffee cultivation is of great importance to Brazilian agribusiness, as coffee occupies extensive production areas and is one of the most exported Brazilian products. To maintain coffee production numbers, productive techniques must be adopted that optimize productive system use. The objective of this work was to apply geostatistical techniques in the evaluation of soil fertility attributes to construct maps of variability in soil fertility parameters and the productivity of a coffee crop in the municipality of Monte Carmelo, Minas Gerais (MG), Brazil. The work was developed with coffee of the cultivar Mundo Novo 379/19, and 19 sample points were georeferenced in Universal Transverse Mercator coordinates. Spatial dependence of the fertility and productivity parameters was analysed via classic semivariogram fitting and interpolation by ordinary kriging using the statistical computer system, R. All parameters evaluated showed high degrees of spatial dependence. The attribute values varied along the sampling points, except for the sodium (Na) contents, which had similar values in all samplings. The studied parameters ranged from 80 to 200 metres. It is conclusion, the use of productivity maps linked to soil chemical attributes can be useful for determining the occurrence of variable productivity rates throughout the area, allowing the adoption of corrective practices for subsequent crops and thus making the maps very useful tools for producers.
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spelling Spatial variability of soil fertility attributes and productivity in a coffee crop farmPrecision coffee cultivationGeostatisticsSpatial mapsSemivariogramsCafé - Agricultura de precisãoCafé - ProdutividadeFertilidade do soloGeoestatísticaVariabilidade espacialCoffee cultivation is of great importance to Brazilian agribusiness, as coffee occupies extensive production areas and is one of the most exported Brazilian products. To maintain coffee production numbers, productive techniques must be adopted that optimize productive system use. The objective of this work was to apply geostatistical techniques in the evaluation of soil fertility attributes to construct maps of variability in soil fertility parameters and the productivity of a coffee crop in the municipality of Monte Carmelo, Minas Gerais (MG), Brazil. The work was developed with coffee of the cultivar Mundo Novo 379/19, and 19 sample points were georeferenced in Universal Transverse Mercator coordinates. Spatial dependence of the fertility and productivity parameters was analysed via classic semivariogram fitting and interpolation by ordinary kriging using the statistical computer system, R. All parameters evaluated showed high degrees of spatial dependence. The attribute values varied along the sampling points, except for the sodium (Na) contents, which had similar values in all samplings. The studied parameters ranged from 80 to 200 metres. It is conclusion, the use of productivity maps linked to soil chemical attributes can be useful for determining the occurrence of variable productivity rates throughout the area, allowing the adoption of corrective practices for subsequent crops and thus making the maps very useful tools for producers.Estonian Agricultural University2020-06-01T16:56:08Z2020-06-01T16:56:08Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFERRAZ G. A. S. et at. Spatial variability of soil fertility attributes and productivity in a coffee crop farm. Agronomy Research, Tartu, v. 17, n. 4, p. 1630-1638, 2019.http://repositorio.ufla.br/jspui/handle/1/41304Agronomy Researchreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessFerraz, G. A. S.Avelar, R. C.Bento, N. L.Souza, F. R.Ferraz, P. F. P.Damasceno, F. A.Barbari, M.eng2020-06-01T16:56:38Zoai:localhost:1/41304Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-06-01T16:56:38Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Spatial variability of soil fertility attributes and productivity in a coffee crop farm
title Spatial variability of soil fertility attributes and productivity in a coffee crop farm
spellingShingle Spatial variability of soil fertility attributes and productivity in a coffee crop farm
Ferraz, G. A. S.
Precision coffee cultivation
Geostatistics
Spatial maps
Semivariograms
Café - Agricultura de precisão
Café - Produtividade
Fertilidade do solo
Geoestatística
Variabilidade espacial
title_short Spatial variability of soil fertility attributes and productivity in a coffee crop farm
title_full Spatial variability of soil fertility attributes and productivity in a coffee crop farm
title_fullStr Spatial variability of soil fertility attributes and productivity in a coffee crop farm
title_full_unstemmed Spatial variability of soil fertility attributes and productivity in a coffee crop farm
title_sort Spatial variability of soil fertility attributes and productivity in a coffee crop farm
author Ferraz, G. A. S.
author_facet Ferraz, G. A. S.
Avelar, R. C.
Bento, N. L.
Souza, F. R.
Ferraz, P. F. P.
Damasceno, F. A.
Barbari, M.
author_role author
author2 Avelar, R. C.
Bento, N. L.
Souza, F. R.
Ferraz, P. F. P.
Damasceno, F. A.
Barbari, M.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ferraz, G. A. S.
Avelar, R. C.
Bento, N. L.
Souza, F. R.
Ferraz, P. F. P.
Damasceno, F. A.
Barbari, M.
dc.subject.por.fl_str_mv Precision coffee cultivation
Geostatistics
Spatial maps
Semivariograms
Café - Agricultura de precisão
Café - Produtividade
Fertilidade do solo
Geoestatística
Variabilidade espacial
topic Precision coffee cultivation
Geostatistics
Spatial maps
Semivariograms
Café - Agricultura de precisão
Café - Produtividade
Fertilidade do solo
Geoestatística
Variabilidade espacial
description Coffee cultivation is of great importance to Brazilian agribusiness, as coffee occupies extensive production areas and is one of the most exported Brazilian products. To maintain coffee production numbers, productive techniques must be adopted that optimize productive system use. The objective of this work was to apply geostatistical techniques in the evaluation of soil fertility attributes to construct maps of variability in soil fertility parameters and the productivity of a coffee crop in the municipality of Monte Carmelo, Minas Gerais (MG), Brazil. The work was developed with coffee of the cultivar Mundo Novo 379/19, and 19 sample points were georeferenced in Universal Transverse Mercator coordinates. Spatial dependence of the fertility and productivity parameters was analysed via classic semivariogram fitting and interpolation by ordinary kriging using the statistical computer system, R. All parameters evaluated showed high degrees of spatial dependence. The attribute values varied along the sampling points, except for the sodium (Na) contents, which had similar values in all samplings. The studied parameters ranged from 80 to 200 metres. It is conclusion, the use of productivity maps linked to soil chemical attributes can be useful for determining the occurrence of variable productivity rates throughout the area, allowing the adoption of corrective practices for subsequent crops and thus making the maps very useful tools for producers.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-06-01T16:56:08Z
2020-06-01T16:56:08Z
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 FERRAZ G. A. S. et at. Spatial variability of soil fertility attributes and productivity in a coffee crop farm. Agronomy Research, Tartu, v. 17, n. 4, p. 1630-1638, 2019.
http://repositorio.ufla.br/jspui/handle/1/41304
identifier_str_mv FERRAZ G. A. S. et at. Spatial variability of soil fertility attributes and productivity in a coffee crop farm. Agronomy Research, Tartu, v. 17, n. 4, p. 1630-1638, 2019.
url http://repositorio.ufla.br/jspui/handle/1/41304
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Estonian Agricultural University
publisher.none.fl_str_mv Estonian Agricultural University
dc.source.none.fl_str_mv Agronomy Research
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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