Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee field
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Coffee Science (Online) |
Texto Completo: | https://coffeescience.ufla.br/index.php/Coffeescience/article/view/878 |
Resumo: | Fewer studies have been conducted on the spatial variability of inputs dosage in crop field, mainly when it has been performed the comparison between conventional management and precision agriculture management in coffee crop.The aim of this article was to characterize the structure and magnitude of the spatial distribution of soil chemical attributes, and the recommendation of fertilizer application on a coffee field, and map these variables in order to identify the spatial dependence of them. It was also aimed compare the recommendation of fertilize application based on conventional sampling method and based on grid sampling method to demonstrate the advantages of the use of this crop management.. This study was carried out at the Brejão farm in Três Pontas, Minas Gerais state, Brazil. As data base were used phosphorus and potassium sampled conventionally and sampled in a 64 point squared grid. The soil sampling was sent to a soil lab to proceed the analyses of the amount of chemical attributes present in the soil, that allowed to proceed the recommendation of fertilizer application. The analysis of these data by geostatistics tools allowed characterize the spatial variability of phosphorus and potassium, as well as, the dose of P2O5 and K2O recommended by the grid sampling method which allowed creating maps of spatial distribution of these variables. It was possible to identify differences presented in the P2O5 and K20 doses based on the recommendations obtained by the conventional sampling method and by the grid sampling method to precision coffee culture. |
id |
UFLA-4_12235d1759add0e70468b639ec8ab213 |
---|---|
oai_identifier_str |
oai:coffeescience.ufla.br:article/878 |
network_acronym_str |
UFLA-4 |
network_name_str |
Coffee Science (Online) |
repository_id_str |
|
spelling |
Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee fieldVariabilidade espacial da dose de P2O5 e K2O para adubação diferenciada e convencional em lavoura cafeeiraPrecision agriculturegeostatisticsfertilizerscoffee plantAgricultura de precisãogeoestatísticafertilizantescafeeiroFewer studies have been conducted on the spatial variability of inputs dosage in crop field, mainly when it has been performed the comparison between conventional management and precision agriculture management in coffee crop.The aim of this article was to characterize the structure and magnitude of the spatial distribution of soil chemical attributes, and the recommendation of fertilizer application on a coffee field, and map these variables in order to identify the spatial dependence of them. It was also aimed compare the recommendation of fertilize application based on conventional sampling method and based on grid sampling method to demonstrate the advantages of the use of this crop management.. This study was carried out at the Brejão farm in Três Pontas, Minas Gerais state, Brazil. As data base were used phosphorus and potassium sampled conventionally and sampled in a 64 point squared grid. The soil sampling was sent to a soil lab to proceed the analyses of the amount of chemical attributes present in the soil, that allowed to proceed the recommendation of fertilizer application. The analysis of these data by geostatistics tools allowed characterize the spatial variability of phosphorus and potassium, as well as, the dose of P2O5 and K2O recommended by the grid sampling method which allowed creating maps of spatial distribution of these variables. It was possible to identify differences presented in the P2O5 and K20 doses based on the recommendations obtained by the conventional sampling method and by the grid sampling method to precision coffee culture.Poucos estudos foram realizados acerca da variabilidade espacial de doses de insumos, principalmente realizandose o comparativo entre o manejo convencional e o baseado em agricultura de precisão, em cafeicultura. Objetivou-se, no presente trabalho, caracterizar a estrutura e a magnitude da distribuição espacial de atributos químicos do solo, bem como da recomendação de aplicação de fertilizantes numa lavoura cafeeira, realizando o mapeamento destas variáveis, para visualizar sua distribuição espacial. Objetivou-se ainda comparar a recomendação de aplicação de fertilizantes baseados na amostragem convencional e na amostragem em malha quadrada, para cafeicultura de precisão, de forma a demonstrar as vantagens do uso desta forma de manejo da lavoura. Este trabalho foi conduzido na fazenda Brejão, no município de Três Pontas, Minas Gerais, utilizando-se os atributos químicos do solo, fósforo e potássio, amostrados de forma convencional e em malha amostral quadrada de 64 pontos, georreferenciados. As amostras de solo foram enviadas a um laboratório de análise de solo para que se pudessem obter os teores dos elementos químicos, possibilitando a realização da recomendação de aplicação de fertilizantes. A análise destes dados, por meio das técnicas geoestatísticas, possibilitou caracterizar a variabilidade espacial do fósforo e do potássio, bem como da dose de P2O5 e K2O recomendada pela amostragem em malha quadrada, permitindo o mapeamento destas variáveis. Foi possível identificar as diferenças apresentadas pela dosagem de P2O5 e K2O baseadas nas recomendações obtidas pela amostragem convencional e pela amostragem em malha quadrada, para cafeicultura de precisão.Editora UFLA2015-08-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/mswordapplication/ziphttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/878Coffee Science - ISSN 1984-3909; Vol. 10 No. 3 (2015); 346 - 356Coffee Science; Vol. 10 Núm. 3 (2015); 346 - 356Coffee Science; v. 10 n. 3 (2015); 346 - 3561984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/878/pdf_188https://coffeescience.ufla.br/index.php/Coffeescience/article/view/878/1422https://coffeescience.ufla.br/index.php/Coffeescience/article/view/878/1423Copyright (c) 2015 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessFerraz, Gabriel Araújo e Silvada Silva, Fábio Moreirade Oliveira, Marcelo SilvaAvelar, Rogner CarvalhoSales, Ronan Souza2015-08-06T01:37:45Zoai:coffeescience.ufla.br:article/878Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:52.093849Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee field Variabilidade espacial da dose de P2O5 e K2O para adubação diferenciada e convencional em lavoura cafeeira |
title |
Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee field |
spellingShingle |
Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee field Ferraz, Gabriel Araújo e Silva Precision agriculture geostatistics fertilizers coffee plant Agricultura de precisão geoestatística fertilizantes cafeeiro |
title_short |
Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee field |
title_full |
Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee field |
title_fullStr |
Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee field |
title_full_unstemmed |
Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee field |
title_sort |
Spatial vatiability of the dosage of P2O5 and K2O tofertilize in variable rate and in a conventional way in a coffee field |
author |
Ferraz, Gabriel Araújo e Silva |
author_facet |
Ferraz, Gabriel Araújo e Silva da Silva, Fábio Moreira de Oliveira, Marcelo Silva Avelar, Rogner Carvalho Sales, Ronan Souza |
author_role |
author |
author2 |
da Silva, Fábio Moreira de Oliveira, Marcelo Silva Avelar, Rogner Carvalho Sales, Ronan Souza |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Ferraz, Gabriel Araújo e Silva da Silva, Fábio Moreira de Oliveira, Marcelo Silva Avelar, Rogner Carvalho Sales, Ronan Souza |
dc.subject.por.fl_str_mv |
Precision agriculture geostatistics fertilizers coffee plant Agricultura de precisão geoestatística fertilizantes cafeeiro |
topic |
Precision agriculture geostatistics fertilizers coffee plant Agricultura de precisão geoestatística fertilizantes cafeeiro |
description |
Fewer studies have been conducted on the spatial variability of inputs dosage in crop field, mainly when it has been performed the comparison between conventional management and precision agriculture management in coffee crop.The aim of this article was to characterize the structure and magnitude of the spatial distribution of soil chemical attributes, and the recommendation of fertilizer application on a coffee field, and map these variables in order to identify the spatial dependence of them. It was also aimed compare the recommendation of fertilize application based on conventional sampling method and based on grid sampling method to demonstrate the advantages of the use of this crop management.. This study was carried out at the Brejão farm in Três Pontas, Minas Gerais state, Brazil. As data base were used phosphorus and potassium sampled conventionally and sampled in a 64 point squared grid. The soil sampling was sent to a soil lab to proceed the analyses of the amount of chemical attributes present in the soil, that allowed to proceed the recommendation of fertilizer application. The analysis of these data by geostatistics tools allowed characterize the spatial variability of phosphorus and potassium, as well as, the dose of P2O5 and K2O recommended by the grid sampling method which allowed creating maps of spatial distribution of these variables. It was possible to identify differences presented in the P2O5 and K20 doses based on the recommendations obtained by the conventional sampling method and by the grid sampling method to precision coffee culture. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-08-04 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/878 |
url |
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/878 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/878/pdf_188 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/878/1422 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/878/1423 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 Coffee Science - ISSN 1984-3909 https://creativecommons.org/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 Coffee Science - ISSN 1984-3909 https://creativecommons.org/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/msword application/zip |
dc.publisher.none.fl_str_mv |
Editora UFLA |
publisher.none.fl_str_mv |
Editora UFLA |
dc.source.none.fl_str_mv |
Coffee Science - ISSN 1984-3909; Vol. 10 No. 3 (2015); 346 - 356 Coffee Science; Vol. 10 Núm. 3 (2015); 346 - 356 Coffee Science; v. 10 n. 3 (2015); 346 - 356 1984-3909 reponame:Coffee Science (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Coffee Science (Online) |
collection |
Coffee Science (Online) |
repository.name.fl_str_mv |
Coffee Science (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com |
_version_ |
1799874920344190976 |