Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee trees
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/7137 |
Resumo: | The objective of this work was to compare the nutritional diagnoses by DRIS and DRIS with the incorporation of dry matter (modified DRIS), under four criteria: all ratios between nutrients, nutrient ratios with larger variance ratio, smaller coefficient of variation, and nutrient ratios with values greater than one. Leaf concentrations of N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn, and the productivity of 56 organic crops of 'Conilon' coffee of the State of Espírito Santo, Brazil, were used. The frequency of the nutrient whose index was the most negative and the most positive, the correlation between the nutrient and its index, and the correlation between productivity and nutrient balance index were evaluated. DRIS and DRIS modified (DRIS-M) had provided similar diagnoses, and the four criteria of DRIS indices calculation changed the order of nutrients limitation in coffee trees. DRIS-M presents a little higher correlation between the productivity and the nutrient balance index, as well as, between nutrient concentration and its DRIS index. |
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Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee treesComparação de dois métodos DRIS para o diagnóstico de deficiências nutricionais do cafeeiroCoffea canephora; procedures of calculations; mineral nutritionCoffea canephora; procedimentos de cálculos; nutrição mineralThe objective of this work was to compare the nutritional diagnoses by DRIS and DRIS with the incorporation of dry matter (modified DRIS), under four criteria: all ratios between nutrients, nutrient ratios with larger variance ratio, smaller coefficient of variation, and nutrient ratios with values greater than one. Leaf concentrations of N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn, and the productivity of 56 organic crops of 'Conilon' coffee of the State of Espírito Santo, Brazil, were used. The frequency of the nutrient whose index was the most negative and the most positive, the correlation between the nutrient and its index, and the correlation between productivity and nutrient balance index were evaluated. DRIS and DRIS modified (DRIS-M) had provided similar diagnoses, and the four criteria of DRIS indices calculation changed the order of nutrients limitation in coffee trees. DRIS-M presents a little higher correlation between the productivity and the nutrient balance index, as well as, between nutrient concentration and its DRIS index.O objetivo deste trabalho foi comparar as diagnoses nutricionais realizadas pelo DRIS e pelo DRIS modificado (com inclusão da matéria seca), utilizando-se quatro critérios: todas as relações entre nutrientes; as relações com maior razão de variância; as com menor coeficiente de variação e as com valor de relação maior do que um. Foram usados os teores foliares de N, P, K, Ca, Mg, S, B, Cu, Fe, Mn e Zn e a produtividade de 56 lavouras orgânicas de café 'Conilon', do Estado do Espírito Santo. Verificou-se, para os diferentes métodos e critérios, a freqüência do nutriente cujo índice foi o mais negativo e o mais positivo, a correlação entre o teor do nutriente e seu índice e a correlação entre produtividade e índice de balanço nutricional. O DRIS e o DRIS modificado (DRIS-M) proporcionaram diagnósticos próximos, e os quatro critérios de cálculo de índices DRIS alteraram a ordem de limitação de nutrientes no cafeeiro. O DRIS-M apresenta correlação um pouco mais elevada entre a produtividade e o índice de balanço nutricional, bem como entre o teor do nutriente e o seu índice DRIS.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraPartelli, Fábio LuizVieira, Henrique DuarteMonnerat, Pedro HenriqueViana, Alexandre Pio2006-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/7137Pesquisa Agropecuaria Brasileira; v.41, n.2, fev. 2006; 301-306Pesquisa Agropecuária Brasileira; v.41, n.2, fev. 2006; 301-3061678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/7137/4182info:eu-repo/semantics/openAccess2014-09-26T17:35:52Zoai:ojs.seer.sct.embrapa.br:article/7137Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-09-26T17:35:52Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee trees Comparação de dois métodos DRIS para o diagnóstico de deficiências nutricionais do cafeeiro |
title |
Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee trees |
spellingShingle |
Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee trees Partelli, Fábio Luiz Coffea canephora; procedures of calculations; mineral nutrition Coffea canephora; procedimentos de cálculos; nutrição mineral |
title_short |
Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee trees |
title_full |
Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee trees |
title_fullStr |
Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee trees |
title_full_unstemmed |
Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee trees |
title_sort |
Comparison of two DRIS methods for diagnosing nutrients deficiencies in coffee trees |
author |
Partelli, Fábio Luiz |
author_facet |
Partelli, Fábio Luiz Vieira, Henrique Duarte Monnerat, Pedro Henrique Viana, Alexandre Pio |
author_role |
author |
author2 |
Vieira, Henrique Duarte Monnerat, Pedro Henrique Viana, Alexandre Pio |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Partelli, Fábio Luiz Vieira, Henrique Duarte Monnerat, Pedro Henrique Viana, Alexandre Pio |
dc.subject.por.fl_str_mv |
Coffea canephora; procedures of calculations; mineral nutrition Coffea canephora; procedimentos de cálculos; nutrição mineral |
topic |
Coffea canephora; procedures of calculations; mineral nutrition Coffea canephora; procedimentos de cálculos; nutrição mineral |
description |
The objective of this work was to compare the nutritional diagnoses by DRIS and DRIS with the incorporation of dry matter (modified DRIS), under four criteria: all ratios between nutrients, nutrient ratios with larger variance ratio, smaller coefficient of variation, and nutrient ratios with values greater than one. Leaf concentrations of N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn, and the productivity of 56 organic crops of 'Conilon' coffee of the State of Espírito Santo, Brazil, were used. The frequency of the nutrient whose index was the most negative and the most positive, the correlation between the nutrient and its index, and the correlation between productivity and nutrient balance index were evaluated. DRIS and DRIS modified (DRIS-M) had provided similar diagnoses, and the four criteria of DRIS indices calculation changed the order of nutrients limitation in coffee trees. DRIS-M presents a little higher correlation between the productivity and the nutrient balance index, as well as, between nutrient concentration and its DRIS index. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-02-01 |
dc.type.none.fl_str_mv |
|
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://seer.sct.embrapa.br/index.php/pab/article/view/7137 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/7137 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/7137/4182 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.41, n.2, fev. 2006; 301-306 Pesquisa Agropecuária Brasileira; v.41, n.2, fev. 2006; 301-306 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416680221704192 |