Spatial variability of the productivity and the nutritional condition of coffee canephora

Detalhes bibliográficos
Autor(a) principal: Fonseca, Abel Souza
Data de Publicação: 2015
Outros Autores: Lima, Julião Soares de Souza, Silva, Samuel de Assis, Xavier, Alexandre Candido, Neto, Antonio Pereira Drumond
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/908
Resumo: Utilizing precision farming techniques along with the Diagnosis and Recommendation Integrated System (DRIS) allows crop management to be improved, thereby making it possible to better control plant nutrition and to assist in reducing fertilizer expenditures. This study aimed to evaluate the spatial variability of the nutritional status of conilon coffee (Coffea canephora), using the Nutritional Balance index (NBI). 140 points were georeferenced within a coffee crop, each sampling point contained five plants. Leaf samples were analyzed in order to determine levels of N, P, K, Ca, Mg, S, Fe, B, Zn, Mn and Cu. The crop showed itself to have a nutritional imbalance, as shown by the deficiency and excess variation of some nutrients in the crop. The nutritional balance index (NBI) was not correlated with productivity (Prod), indicating that, when the crop has a high nutritional imbalance IBN is not a good tool for establishing nutritional standards for conilon coffee.
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spelling Spatial variability of the productivity and the nutritional condition of coffee canephoraVariabilidade espacial da produtividade e do estado nutricional do cafeeiro CanephoraFoliar analysissemivariogramsprecision agricultureAnálise foliarsemivariogramasagricultura de precisãoUtilizing precision farming techniques along with the Diagnosis and Recommendation Integrated System (DRIS) allows crop management to be improved, thereby making it possible to better control plant nutrition and to assist in reducing fertilizer expenditures. This study aimed to evaluate the spatial variability of the nutritional status of conilon coffee (Coffea canephora), using the Nutritional Balance index (NBI). 140 points were georeferenced within a coffee crop, each sampling point contained five plants. Leaf samples were analyzed in order to determine levels of N, P, K, Ca, Mg, S, Fe, B, Zn, Mn and Cu. The crop showed itself to have a nutritional imbalance, as shown by the deficiency and excess variation of some nutrients in the crop. The nutritional balance index (NBI) was not correlated with productivity (Prod), indicating that, when the crop has a high nutritional imbalance IBN is not a good tool for establishing nutritional standards for conilon coffee.O uso das técnicas da agricultura de precisão aliada ao Sistema Integrado de Diagnose e Recomendação (DRIS) permite o aperfeiçoamento do manejo da lavoura, possibilitando melhor controle nutricional da planta e contribuindo para reduzir gastos com fertilizante. Objetivou-se, neste trabalho, avaliar a variabilidade espacial do estado nutricional do cafeeiro conilon (Coffea canephora), utilizando o Índice de Balanço Nutricional (IBN). Em uma lavoura de café foram amostrados 140 pontos georreferenciados, sendo cada ponto amostral constituído de cinco plantas. As amostras foliares foram analisadas para determinação dos teores de N, P, K, Ca, Mg, S, Fe, B, Zn, Mn e Cu. A lavoura apresenta desequilíbrio nutricional mostrado pela variação da deficiência e excesso de alguns nutrientes na lavoura. O índice de balanceamento nutricional (IBN) não apresentou correlação com a produtividade (Prod), indicando que, quando a lavoura apresenta elevado desequilíbrio nutricional o IBN não é uma boa ferramenta para o estabelecimento de um padrão nutricional para o café conilon.Editora UFLA2015-10-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/zipapplication/ziphttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/908Coffee Science - ISSN 1984-3909; Vol. 10 No. 4 (2015); 420 - 428Coffee Science; Vol. 10 Núm. 4 (2015); 420 - 428Coffee Science; v. 10 n. 4 (2015); 420 - 4281984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/908/pdf_2https://coffeescience.ufla.br/index.php/Coffeescience/article/view/908/1444https://coffeescience.ufla.br/index.php/Coffeescience/article/view/908/1445Copyright (c) 2015 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessFonseca, Abel SouzaLima, Julião Soares de SouzaSilva, Samuel de AssisXavier, Alexandre CandidoNeto, Antonio Pereira Drumond2015-10-05T06:38:55Zoai:coffeescience.ufla.br:article/908Revistahttps://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:2015-10-05T06:38:55Coffee Science (Online) - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Spatial variability of the productivity and the nutritional condition of coffee canephora
Variabilidade espacial da produtividade e do estado nutricional do cafeeiro Canephora
title Spatial variability of the productivity and the nutritional condition of coffee canephora
spellingShingle Spatial variability of the productivity and the nutritional condition of coffee canephora
Fonseca, Abel Souza
Foliar analysis
semivariograms
precision agriculture
Análise foliar
semivariogramas
agricultura de precisão
title_short Spatial variability of the productivity and the nutritional condition of coffee canephora
title_full Spatial variability of the productivity and the nutritional condition of coffee canephora
title_fullStr Spatial variability of the productivity and the nutritional condition of coffee canephora
title_full_unstemmed Spatial variability of the productivity and the nutritional condition of coffee canephora
title_sort Spatial variability of the productivity and the nutritional condition of coffee canephora
author Fonseca, Abel Souza
author_facet Fonseca, Abel Souza
Lima, Julião Soares de Souza
Silva, Samuel de Assis
Xavier, Alexandre Candido
Neto, Antonio Pereira Drumond
author_role author
author2 Lima, Julião Soares de Souza
Silva, Samuel de Assis
Xavier, Alexandre Candido
Neto, Antonio Pereira Drumond
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Fonseca, Abel Souza
Lima, Julião Soares de Souza
Silva, Samuel de Assis
Xavier, Alexandre Candido
Neto, Antonio Pereira Drumond
dc.subject.por.fl_str_mv Foliar analysis
semivariograms
precision agriculture
Análise foliar
semivariogramas
agricultura de precisão
topic Foliar analysis
semivariograms
precision agriculture
Análise foliar
semivariogramas
agricultura de precisão
description Utilizing precision farming techniques along with the Diagnosis and Recommendation Integrated System (DRIS) allows crop management to be improved, thereby making it possible to better control plant nutrition and to assist in reducing fertilizer expenditures. This study aimed to evaluate the spatial variability of the nutritional status of conilon coffee (Coffea canephora), using the Nutritional Balance index (NBI). 140 points were georeferenced within a coffee crop, each sampling point contained five plants. Leaf samples were analyzed in order to determine levels of N, P, K, Ca, Mg, S, Fe, B, Zn, Mn and Cu. The crop showed itself to have a nutritional imbalance, as shown by the deficiency and excess variation of some nutrients in the crop. The nutritional balance index (NBI) was not correlated with productivity (Prod), indicating that, when the crop has a high nutritional imbalance IBN is not a good tool for establishing nutritional standards for conilon coffee.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-05
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/908
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/908
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/908/pdf_2
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/908/1444
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/908/1445
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/zip
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. 4 (2015); 420 - 428
Coffee Science; Vol. 10 Núm. 4 (2015); 420 - 428
Coffee Science; v. 10 n. 4 (2015); 420 - 428
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
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