Modelling of functions in calculating DRIS indices

Detalhes bibliográficos
Autor(a) principal: Wadt, Paulo Guilherme Salvador
Data de Publicação: 2007
Outros Autores: Silva, Davi José, Maia, Celsemy Eleuterio, Júnior, Juarez Barbosa Tomé, Pinto, Paulo Augusto da Costa, Machado, Pedro Luiz Oliveira de Almeida
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/7535
Resumo: The objective of this work was to model DRIS functions and k factor on foliar diagnosis of mango crops. Ten commercial orchards, at yield stage, in the São Francisco River valley were monitored, monthly, during a two-year period, by means of collecting leaf samples to determine N, P, K, Ca, Mg, B, Fe, Mn, Zn and Cu concentrations. Data were tested for normality and bivariate relationships between nutrient concentrations were used to calculate DRIS norms. Mean, variance as well as minimum and maximum values were calculated for each relationship within the population. Nutrients were classified as follows: highly responsive macronutrients (HRMa) (N, P and K); rarely responsive macronutrients (RRMa) (Ca and Mg); highly responsive micronutrients (HRMi) (B, Fe, Mn and Zn), and rarely responsive micronutrients (RRMi) (Cu). DRIS functions were developed for each nutrient class. Results showed that the developed model expresses the nutritional balance adjusted for each nutrient, and reflects the expected biological behavior of plants as a result of variation in the availability of nutrients.
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spelling Modelling of functions in calculating DRIS indicesModelagem de funções no cálculo dos índices DRISMangifera indica; DRIS norms; foliar diagnosisMangifera indica; normas DRIS; diagnose foliarThe objective of this work was to model DRIS functions and k factor on foliar diagnosis of mango crops. Ten commercial orchards, at yield stage, in the São Francisco River valley were monitored, monthly, during a two-year period, by means of collecting leaf samples to determine N, P, K, Ca, Mg, B, Fe, Mn, Zn and Cu concentrations. Data were tested for normality and bivariate relationships between nutrient concentrations were used to calculate DRIS norms. Mean, variance as well as minimum and maximum values were calculated for each relationship within the population. Nutrients were classified as follows: highly responsive macronutrients (HRMa) (N, P and K); rarely responsive macronutrients (RRMa) (Ca and Mg); highly responsive micronutrients (HRMi) (B, Fe, Mn and Zn), and rarely responsive micronutrients (RRMi) (Cu). DRIS functions were developed for each nutrient class. Results showed that the developed model expresses the nutritional balance adjusted for each nutrient, and reflects the expected biological behavior of plants as a result of variation in the availability of nutrients.O objetivo deste trabalho foi modelar o fator k e as funções DRIS para a diagnose foliar de mangueiras cultivadas. Dez pomares comerciais, no estágio de produção, localizados no vale do Rio São Francisco, foram monitorados, mensalmente, durante dois anos, por meio da coleta de amostras foliares para determinação dos teores de N, P, K, Ca, Mg, B, Fe, Mn, Zn e Cu. Os dados foram testados quanto à normalidade e as relações entre as concentrações dos nutrientes foram usadas para calcular as normas DRIS, obtendo-se média, variância e limites máximo e mínimo de cada relação dentro da população amostrada. Os nutrientes foram classificados como macronutrientes de resposta freqüente (MAF) (N, P e K), macronutrientes de resposta rara (MAR) (Ca e Mg); micronutrientes de resposta freqüente (MIF) (B, Fe, Mn e Zn) e, micronutrientes de resposta rara (MIR) (Cu). Funções DRIS foram desenvolvidas para cada classe de nutrientes. O modelo desenvolvido expressa o balanço nutricional das plantas cultivadas ajustado a cada nutriente e reflete o comportamento biológico das plantas como resultado da variação da disponibilidade dos nutrientes.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraWadt, Paulo Guilherme SalvadorSilva, Davi JoséMaia, Celsemy EleuterioJúnior, Juarez Barbosa ToméPinto, Paulo Augusto da CostaMachado, Pedro Luiz Oliveira de Almeida2007-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/7535Pesquisa Agropecuaria Brasileira; v.42, n.1, jan. 2007; 57-64Pesquisa Agropecuária Brasileira; v.42, n.1, jan. 2007; 57-641678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/7535/4454info:eu-repo/semantics/openAccess2014-05-21T16:39:36Zoai:ojs.seer.sct.embrapa.br:article/7535Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-05-21T16:39:36Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Modelling of functions in calculating DRIS indices
Modelagem de funções no cálculo dos índices DRIS
title Modelling of functions in calculating DRIS indices
spellingShingle Modelling of functions in calculating DRIS indices
Wadt, Paulo Guilherme Salvador
Mangifera indica; DRIS norms; foliar diagnosis
Mangifera indica; normas DRIS; diagnose foliar
title_short Modelling of functions in calculating DRIS indices
title_full Modelling of functions in calculating DRIS indices
title_fullStr Modelling of functions in calculating DRIS indices
title_full_unstemmed Modelling of functions in calculating DRIS indices
title_sort Modelling of functions in calculating DRIS indices
author Wadt, Paulo Guilherme Salvador
author_facet Wadt, Paulo Guilherme Salvador
Silva, Davi José
Maia, Celsemy Eleuterio
Júnior, Juarez Barbosa Tomé
Pinto, Paulo Augusto da Costa
Machado, Pedro Luiz Oliveira de Almeida
author_role author
author2 Silva, Davi José
Maia, Celsemy Eleuterio
Júnior, Juarez Barbosa Tomé
Pinto, Paulo Augusto da Costa
Machado, Pedro Luiz Oliveira de Almeida
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Wadt, Paulo Guilherme Salvador
Silva, Davi José
Maia, Celsemy Eleuterio
Júnior, Juarez Barbosa Tomé
Pinto, Paulo Augusto da Costa
Machado, Pedro Luiz Oliveira de Almeida
dc.subject.por.fl_str_mv Mangifera indica; DRIS norms; foliar diagnosis
Mangifera indica; normas DRIS; diagnose foliar
topic Mangifera indica; DRIS norms; foliar diagnosis
Mangifera indica; normas DRIS; diagnose foliar
description The objective of this work was to model DRIS functions and k factor on foliar diagnosis of mango crops. Ten commercial orchards, at yield stage, in the São Francisco River valley were monitored, monthly, during a two-year period, by means of collecting leaf samples to determine N, P, K, Ca, Mg, B, Fe, Mn, Zn and Cu concentrations. Data were tested for normality and bivariate relationships between nutrient concentrations were used to calculate DRIS norms. Mean, variance as well as minimum and maximum values were calculated for each relationship within the population. Nutrients were classified as follows: highly responsive macronutrients (HRMa) (N, P and K); rarely responsive macronutrients (RRMa) (Ca and Mg); highly responsive micronutrients (HRMi) (B, Fe, Mn and Zn), and rarely responsive micronutrients (RRMi) (Cu). DRIS functions were developed for each nutrient class. Results showed that the developed model expresses the nutritional balance adjusted for each nutrient, and reflects the expected biological behavior of plants as a result of variation in the availability of nutrients.
publishDate 2007
dc.date.none.fl_str_mv 2007-01-01
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/7535
url https://seer.sct.embrapa.br/index.php/pab/article/view/7535
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/7535/4454
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.42, n.1, jan. 2007; 57-64
Pesquisa Agropecuária Brasileira; v.42, n.1, jan. 2007; 57-64
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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