Relationships between soil class and nutritional status of coffee plantations.

Detalhes bibliográficos
Autor(a) principal: WADT, P. G. S.
Data de Publicação: 2005
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/506306
Resumo: Farm planning requires an assessment of the soil class. Research suggest that the Diagnosis and Recommendation Integrated System (DRIS) has the capacity to evaluate the nutritional status of coffee plantations, regardless of environmental conditions. Additionally, the use of DRIS could reduce the costs for farm planning. This study evaluated the relationship between the soil class and nutritional status of coffee plants (Coffea canephora Pierre) using the Critical Level (CL) and DRIS methods, based on two multivariate statistical methods (discriminant and multidimensional scaling analyses). During three consecutive years, yield and foliar concentration of nutrients (N, P, K, Ca, Mg, S, B, Zn, Mn, Fe and Cu) were obtained from coffee plantations cultivated in Espírito Santo state. Discriminant analysis showed that the soil class was an important factor determining the nutritional status of the coffee plants. The grouping separation by the CL method was not as effective as the DRIS one. The bidimensional analysis of Euclidean distances did not show the same relationship between plant nutritional status and soil class. Multidimensional scaling analysis by the CL method indicated that 93.3 % of the crops grouped into one cluster, whereas the DRIS method split the fields more evenly into three clusters. The DRIS method thus proved to be more consistent than the CL method for grouping coffee plantations by soil class.
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spelling Relationships between soil class and nutritional status of coffee plantations.CoffeeCafé ConilonClasses de solosMétodo DRISDRIS MethodMétodo do Nível CríticoLevel Critical MethodClasificación de suelosAnálisis de multivarianzaAnálise multivariadaNutrición de las plantasAnálisis estadísticoEstatus nutricionalPlanejamento agrícolaCaféCoffea canephoraEstado nutricionalClassificação do soloAnálise estatísticaPlant nutritionNutritional statusSoil classificationStatistical analysisMultivariate analysisFarm planning requires an assessment of the soil class. Research suggest that the Diagnosis and Recommendation Integrated System (DRIS) has the capacity to evaluate the nutritional status of coffee plantations, regardless of environmental conditions. Additionally, the use of DRIS could reduce the costs for farm planning. This study evaluated the relationship between the soil class and nutritional status of coffee plants (Coffea canephora Pierre) using the Critical Level (CL) and DRIS methods, based on two multivariate statistical methods (discriminant and multidimensional scaling analyses). During three consecutive years, yield and foliar concentration of nutrients (N, P, K, Ca, Mg, S, B, Zn, Mn, Fe and Cu) were obtained from coffee plantations cultivated in Espírito Santo state. Discriminant analysis showed that the soil class was an important factor determining the nutritional status of the coffee plants. The grouping separation by the CL method was not as effective as the DRIS one. The bidimensional analysis of Euclidean distances did not show the same relationship between plant nutritional status and soil class. Multidimensional scaling analysis by the CL method indicated that 93.3 % of the crops grouped into one cluster, whereas the DRIS method split the fields more evenly into three clusters. The DRIS method thus proved to be more consistent than the CL method for grouping coffee plantations by soil class.PAULO GUILHERME SALVADOR WADT, CPAF-AC.WADT, P. G. S.2011-04-10T11:11:11Z2011-04-10T11:11:11Z2007-06-0120052019-01-07T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Ciência do Solo, Viçosa, MG, v. 29, n. 2, p. 227-234, maio/abr. 2005.0100-0683 (impresso)http://www.alice.cnptia.embrapa.br/alice/handle/doc/50630610.1590/S0100-06832005000200008.enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:16:52Zoai:www.alice.cnptia.embrapa.br:doc/506306Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:16:52falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:16:52Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Relationships between soil class and nutritional status of coffee plantations.
title Relationships between soil class and nutritional status of coffee plantations.
spellingShingle Relationships between soil class and nutritional status of coffee plantations.
WADT, P. G. S.
Coffee
Café Conilon
Classes de solos
Método DRIS
DRIS Method
Método do Nível Crítico
Level Critical Method
Clasificación de suelos
Análisis de multivarianza
Análise multivariada
Nutrición de las plantas
Análisis estadístico
Estatus nutricional
Planejamento agrícola
Café
Coffea canephora
Estado nutricional
Classificação do solo
Análise estatística
Plant nutrition
Nutritional status
Soil classification
Statistical analysis
Multivariate analysis
title_short Relationships between soil class and nutritional status of coffee plantations.
title_full Relationships between soil class and nutritional status of coffee plantations.
title_fullStr Relationships between soil class and nutritional status of coffee plantations.
title_full_unstemmed Relationships between soil class and nutritional status of coffee plantations.
title_sort Relationships between soil class and nutritional status of coffee plantations.
author WADT, P. G. S.
author_facet WADT, P. G. S.
author_role author
dc.contributor.none.fl_str_mv PAULO GUILHERME SALVADOR WADT, CPAF-AC.
dc.contributor.author.fl_str_mv WADT, P. G. S.
dc.subject.por.fl_str_mv Coffee
Café Conilon
Classes de solos
Método DRIS
DRIS Method
Método do Nível Crítico
Level Critical Method
Clasificación de suelos
Análisis de multivarianza
Análise multivariada
Nutrición de las plantas
Análisis estadístico
Estatus nutricional
Planejamento agrícola
Café
Coffea canephora
Estado nutricional
Classificação do solo
Análise estatística
Plant nutrition
Nutritional status
Soil classification
Statistical analysis
Multivariate analysis
topic Coffee
Café Conilon
Classes de solos
Método DRIS
DRIS Method
Método do Nível Crítico
Level Critical Method
Clasificación de suelos
Análisis de multivarianza
Análise multivariada
Nutrición de las plantas
Análisis estadístico
Estatus nutricional
Planejamento agrícola
Café
Coffea canephora
Estado nutricional
Classificação do solo
Análise estatística
Plant nutrition
Nutritional status
Soil classification
Statistical analysis
Multivariate analysis
description Farm planning requires an assessment of the soil class. Research suggest that the Diagnosis and Recommendation Integrated System (DRIS) has the capacity to evaluate the nutritional status of coffee plantations, regardless of environmental conditions. Additionally, the use of DRIS could reduce the costs for farm planning. This study evaluated the relationship between the soil class and nutritional status of coffee plants (Coffea canephora Pierre) using the Critical Level (CL) and DRIS methods, based on two multivariate statistical methods (discriminant and multidimensional scaling analyses). During three consecutive years, yield and foliar concentration of nutrients (N, P, K, Ca, Mg, S, B, Zn, Mn, Fe and Cu) were obtained from coffee plantations cultivated in Espírito Santo state. Discriminant analysis showed that the soil class was an important factor determining the nutritional status of the coffee plants. The grouping separation by the CL method was not as effective as the DRIS one. The bidimensional analysis of Euclidean distances did not show the same relationship between plant nutritional status and soil class. Multidimensional scaling analysis by the CL method indicated that 93.3 % of the crops grouped into one cluster, whereas the DRIS method split the fields more evenly into three clusters. The DRIS method thus proved to be more consistent than the CL method for grouping coffee plantations by soil class.
publishDate 2005
dc.date.none.fl_str_mv 2005
2007-06-01
2011-04-10T11:11:11Z
2011-04-10T11:11:11Z
2019-01-07T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 29, n. 2, p. 227-234, maio/abr. 2005.
0100-0683 (impresso)
http://www.alice.cnptia.embrapa.br/alice/handle/doc/506306
10.1590/S0100-06832005000200008.
identifier_str_mv Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 29, n. 2, p. 227-234, maio/abr. 2005.
0100-0683 (impresso)
10.1590/S0100-06832005000200008.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/506306
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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