Spatial variability of soil fertility attributes and productivity in a coffee crop farm
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , , |
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. |
id |
UFLA_5b54bac84fbb71b081b204bdb27908d5 |
---|---|
oai_identifier_str |
oai:localhost:1/41304 |
network_acronym_str |
UFLA |
network_name_str |
Repositório Institucional da UFLA |
repository_id_str |
|
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 |
_version_ |
1815438986801315840 |