Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee crop

Detalhes bibliográficos
Autor(a) principal: Carvalho, Luis Carlos Cirilo
Data de Publicação: 2017
Outros Autores: Silva, Fábio Moreira da, Ferraz, Gabriel Araújo e Silva, Figueiredo, Vanessa Castro, Cunha, João Paulo Barreto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1278
Resumo: One of the technologies that has been outstanding for the management of crops is the precision of coffee growing. However, there are still many fears on the part of growers in their adoption due to the lack of information to justify its use, compared to the current conventional management. This study aimed to evaluate the spatial and temporal variability of micronutrients (Zn, Fe, Mn, Cu and B) obtained through foliar analysis of a coffee plantation, allowing the creation of thematic maps in order to visualize their distribution in space. We also aimed to compare the results of precision coffee growing versus conventional management seeking to find results that justify its adoption in managing crops. The trial was carried out in Brejão farm, located in the municipality of Três Pontas - MG, in a coffee crop cultivate Topaz. Leaves were collected for foliar analysis according to two types of sampling: Precision coffee growing, with 100 collection points, and conventional management, dividing the area into two plots. The evaluations were performed at three different times: June / 2012, December / 2012 and June/2013. Through geostatistics, spatial and temporal variability of all variables was identified, enabling the creation of maps. For a given time, there are differences between the two types of management. In general, the accuracy of coffee allowed greater detail crop compared to the conventional management, allowing prevent management errors.
id UFLA-4_342107c9bdd206526f3416ff56ba1730
oai_identifier_str oai:coffeescience.ufla.br:article/1278
network_acronym_str UFLA-4
network_name_str Coffee Science (Online)
repository_id_str
spelling Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee cropComparação entre amostragem foliar convencional e de precisão para análise de micronutrientes na cafeiculturaCoffee plantfoliar diagnosisgeostatisticsCafeeirodiagnose foliargeoestatísticaOne of the technologies that has been outstanding for the management of crops is the precision of coffee growing. However, there are still many fears on the part of growers in their adoption due to the lack of information to justify its use, compared to the current conventional management. This study aimed to evaluate the spatial and temporal variability of micronutrients (Zn, Fe, Mn, Cu and B) obtained through foliar analysis of a coffee plantation, allowing the creation of thematic maps in order to visualize their distribution in space. We also aimed to compare the results of precision coffee growing versus conventional management seeking to find results that justify its adoption in managing crops. The trial was carried out in Brejão farm, located in the municipality of Três Pontas - MG, in a coffee crop cultivate Topaz. Leaves were collected for foliar analysis according to two types of sampling: Precision coffee growing, with 100 collection points, and conventional management, dividing the area into two plots. The evaluations were performed at three different times: June / 2012, December / 2012 and June/2013. Through geostatistics, spatial and temporal variability of all variables was identified, enabling the creation of maps. For a given time, there are differences between the two types of management. In general, the accuracy of coffee allowed greater detail crop compared to the conventional management, allowing prevent management errors.Uma das tecnologias que vem se destacando para o gerenciamento das lavouras é a cafeicultura de precisão. Entretanto, ainda há muitos receios por parte dos cafeicultores na sua adoção em virtude da falta de informações que justifiquem seu uso, frente ao manejo convencional vigente. O presente trabalho buscou avaliar a variabilidade espacial de micronutrientes (Zn, Fe, Mn, Cu e B) obtidos por meio de análise foliar de uma lavoura cafeeira, permitindo a criação de mapas temáticos a fim de visualizar a sua distribuição no espaço em diferentes épocas. Objetivou-se também comparar os resultados da cafeicultura de precisão com o manejo convencional, buscando encontrar resultados que justifiquem a adoção da primeira no gerenciamento das lavouras. O experimento foi realizado na fazenda Brejão, localizada no município de Três Pontas - MG, em uma lavoura de café cultivar Topázio. Foram coletadas folhas para análise foliar segundo dois tipos de amostragem: cafeicultura de precisão, com 100 pontos de coleta, e manejo convencional, dividindo a área em dois talhões. A coleta foi realizada em três épocas: Junho/2012, Dezembro/2012 e Junho 2013. Por meio de geoestatística, foi identificada a variabilidade espacial e temporal de todas as variáveis, possibilitando a criação de mapas. Para uma mesma época, verificaram-se diferenças entre os dois tipos de manejos. De modo geral, a cafeicultura de precisão permitiu maior detalhamento da lavoura em comparação com o manejo convencional, permitindo evitar erros de gerenciamento.Editora UFLA2017-06-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/1278Coffee Science - ISSN 1984-3909; Vol. 12 No. 2 (2017); 272-281Coffee Science; Vol. 12 Núm. 2 (2017); 272-281Coffee Science; v. 12 n. 2 (2017); 272-2811984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/1278/pdf_1278_2https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1278/1751Copyright (c) 2017 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessCarvalho, Luis Carlos CiriloSilva, Fábio Moreira daFerraz, Gabriel Araújo e SilvaFigueiredo, Vanessa CastroCunha, João Paulo Barreto2017-06-06T13:34:35Zoai:coffeescience.ufla.br:article/1278Revistahttps://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:2024-05-21T19:54:01.520563Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee crop
Comparação entre amostragem foliar convencional e de precisão para análise de micronutrientes na cafeicultura
title Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee crop
spellingShingle Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee crop
Carvalho, Luis Carlos Cirilo
Coffee plant
foliar diagnosis
geostatistics
Cafeeiro
diagnose foliar
geoestatística
title_short Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee crop
title_full Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee crop
title_fullStr Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee crop
title_full_unstemmed Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee crop
title_sort Comparison of sampling leaf conventional and precision for micronutrients analysis in coffee crop
author Carvalho, Luis Carlos Cirilo
author_facet Carvalho, Luis Carlos Cirilo
Silva, Fábio Moreira da
Ferraz, Gabriel Araújo e Silva
Figueiredo, Vanessa Castro
Cunha, João Paulo Barreto
author_role author
author2 Silva, Fábio Moreira da
Ferraz, Gabriel Araújo e Silva
Figueiredo, Vanessa Castro
Cunha, João Paulo Barreto
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Carvalho, Luis Carlos Cirilo
Silva, Fábio Moreira da
Ferraz, Gabriel Araújo e Silva
Figueiredo, Vanessa Castro
Cunha, João Paulo Barreto
dc.subject.por.fl_str_mv Coffee plant
foliar diagnosis
geostatistics
Cafeeiro
diagnose foliar
geoestatística
topic Coffee plant
foliar diagnosis
geostatistics
Cafeeiro
diagnose foliar
geoestatística
description One of the technologies that has been outstanding for the management of crops is the precision of coffee growing. However, there are still many fears on the part of growers in their adoption due to the lack of information to justify its use, compared to the current conventional management. This study aimed to evaluate the spatial and temporal variability of micronutrients (Zn, Fe, Mn, Cu and B) obtained through foliar analysis of a coffee plantation, allowing the creation of thematic maps in order to visualize their distribution in space. We also aimed to compare the results of precision coffee growing versus conventional management seeking to find results that justify its adoption in managing crops. The trial was carried out in Brejão farm, located in the municipality of Três Pontas - MG, in a coffee crop cultivate Topaz. Leaves were collected for foliar analysis according to two types of sampling: Precision coffee growing, with 100 collection points, and conventional management, dividing the area into two plots. The evaluations were performed at three different times: June / 2012, December / 2012 and June/2013. Through geostatistics, spatial and temporal variability of all variables was identified, enabling the creation of maps. For a given time, there are differences between the two types of management. In general, the accuracy of coffee allowed greater detail crop compared to the conventional management, allowing prevent management errors.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-04
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/1278
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1278
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1278/pdf_1278_2
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1278/1751
dc.rights.driver.fl_str_mv Copyright (c) 2017 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/vnd.openxmlformats-officedocument.wordprocessingml.document
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. 12 No. 2 (2017); 272-281
Coffee Science; Vol. 12 Núm. 2 (2017); 272-281
Coffee Science; v. 12 n. 2 (2017); 272-281
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_ 1799874921039396864

Registros relacionados