Spatial variability in nutritional status of arabic coffee based on dris index

Detalhes bibliográficos
Autor(a) principal: Silva,Samuel de Assis
Data de Publicação: 2011
Outros Autores: Lima,Julião Soares de Souza, Queiroz,Daniel Marçal de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ceres
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2011000200019
Resumo: The combined use of precision agriculture and the Diagnosis and Recommendation Integrated System (DRIS) allows the spatial monitoring of coffee nutrient balance to provide more balanced and cost-effective fertilizer recommendations. The objective of this work was to evaluate the spatial variability in the nutritional status of two coffee varieties using the Mean Nutritional Balance Index (NBIm) and its relationship with their respective yields. The experiment was conducted in eastern Minas Gerais in two areas, one planted with variety Catucaí and another with variety Catuaí. The NBIm of the two varieties and their yields were analyzed through geostatistics and, based on the models and parameters of the variograms, were interpolated to obtain their spatial distribution in the studied areas. Variety Catucai, with grater spatial variability, was more nutritional unbalanced than variety Catuai, and consequently produced lower yields. Excess of Fe and Mn makes these elements limiting yield factors.
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spelling Spatial variability in nutritional status of arabic coffee based on dris indexYieldprecision agriculturegeostatisticsleaf analysisThe combined use of precision agriculture and the Diagnosis and Recommendation Integrated System (DRIS) allows the spatial monitoring of coffee nutrient balance to provide more balanced and cost-effective fertilizer recommendations. The objective of this work was to evaluate the spatial variability in the nutritional status of two coffee varieties using the Mean Nutritional Balance Index (NBIm) and its relationship with their respective yields. The experiment was conducted in eastern Minas Gerais in two areas, one planted with variety Catucaí and another with variety Catuaí. The NBIm of the two varieties and their yields were analyzed through geostatistics and, based on the models and parameters of the variograms, were interpolated to obtain their spatial distribution in the studied areas. Variety Catucai, with grater spatial variability, was more nutritional unbalanced than variety Catuai, and consequently produced lower yields. Excess of Fe and Mn makes these elements limiting yield factors.Universidade Federal de Viçosa2011-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2011000200019Revista Ceres v.58 n.2 2011reponame:Revista Ceresinstname:Universidade Federal de Viçosa (UFV)instacron:UFV10.1590/S0034-737X2011000200019info:eu-repo/semantics/openAccessSilva,Samuel de AssisLima,Julião Soares de SouzaQueiroz,Daniel Marçal deeng2011-06-09T00:00:00ZRevista
dc.title.none.fl_str_mv Spatial variability in nutritional status of arabic coffee based on dris index
title Spatial variability in nutritional status of arabic coffee based on dris index
spellingShingle Spatial variability in nutritional status of arabic coffee based on dris index
Silva,Samuel de Assis
Yield
precision agriculture
geostatistics
leaf analysis
title_short Spatial variability in nutritional status of arabic coffee based on dris index
title_full Spatial variability in nutritional status of arabic coffee based on dris index
title_fullStr Spatial variability in nutritional status of arabic coffee based on dris index
title_full_unstemmed Spatial variability in nutritional status of arabic coffee based on dris index
title_sort Spatial variability in nutritional status of arabic coffee based on dris index
author Silva,Samuel de Assis
author_facet Silva,Samuel de Assis
Lima,Julião Soares de Souza
Queiroz,Daniel Marçal de
author_role author
author2 Lima,Julião Soares de Souza
Queiroz,Daniel Marçal de
author2_role author
author
dc.contributor.author.fl_str_mv Silva,Samuel de Assis
Lima,Julião Soares de Souza
Queiroz,Daniel Marçal de
dc.subject.por.fl_str_mv Yield
precision agriculture
geostatistics
leaf analysis
topic Yield
precision agriculture
geostatistics
leaf analysis
dc.description.none.fl_txt_mv The combined use of precision agriculture and the Diagnosis and Recommendation Integrated System (DRIS) allows the spatial monitoring of coffee nutrient balance to provide more balanced and cost-effective fertilizer recommendations. The objective of this work was to evaluate the spatial variability in the nutritional status of two coffee varieties using the Mean Nutritional Balance Index (NBIm) and its relationship with their respective yields. The experiment was conducted in eastern Minas Gerais in two areas, one planted with variety Catucaí and another with variety Catuaí. The NBIm of the two varieties and their yields were analyzed through geostatistics and, based on the models and parameters of the variograms, were interpolated to obtain their spatial distribution in the studied areas. Variety Catucai, with grater spatial variability, was more nutritional unbalanced than variety Catuai, and consequently produced lower yields. Excess of Fe and Mn makes these elements limiting yield factors.
description The combined use of precision agriculture and the Diagnosis and Recommendation Integrated System (DRIS) allows the spatial monitoring of coffee nutrient balance to provide more balanced and cost-effective fertilizer recommendations. The objective of this work was to evaluate the spatial variability in the nutritional status of two coffee varieties using the Mean Nutritional Balance Index (NBIm) and its relationship with their respective yields. The experiment was conducted in eastern Minas Gerais in two areas, one planted with variety Catucaí and another with variety Catuaí. The NBIm of the two varieties and their yields were analyzed through geostatistics and, based on the models and parameters of the variograms, were interpolated to obtain their spatial distribution in the studied areas. Variety Catucai, with grater spatial variability, was more nutritional unbalanced than variety Catuai, and consequently produced lower yields. Excess of Fe and Mn makes these elements limiting yield factors.
publishDate 2011
dc.date.none.fl_str_mv 2011-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2011000200019
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2011000200019
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0034-737X2011000200019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa
publisher.none.fl_str_mv Universidade Federal de Viçosa
dc.source.none.fl_str_mv Revista Ceres v.58 n.2 2011
reponame:Revista Ceres
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista Ceres
collection Revista Ceres
repository.name.fl_str_mv
repository.mail.fl_str_mv
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