Relationships between soil class and nutritional status of coffee plantations.
Autor(a) principal: | |
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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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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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1794503397443895296 |