Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.

Detalhes bibliográficos
Autor(a) principal: SOUZA, H. A. de
Data de Publicação: 2023
Outros Autores: ROZANE, D. E., VIEIRA, P. F. de M. J., SAGRILO, E., LEITE, L. F. C., BRITO, L. C. R. de, CONCEIÇÃO, M. P., FERREIRA, A. C. M.
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/1153465
Resumo: This study aimed to evaluate the nutrition of commercial soybean crops in an agricultural frontier region using the diagnosis and recommendation integrated system (DRIS) and compositional nutrient diagnosis (CND) methods, as well as identify sufficiency ranges. The study was performed by collecting leaf samples (third trifoliate leaf without petiole) at flowering from commercial soybean crops in the states of Piauí and Maranhão, Brazil, and evaluating the crop yield by analyzing macro- and micronutrients in the plant tissue of 98 samples. The DRIS and CND methods were applied based on the cataloged data, followed by the generation of norms, analysis of relationships between yield and nutrients (selecting high-yield crops by the cumulative function of the data), generation of sufficiency ranges, and comparison of methods. The relationships obtained by the DRIS and CND indices with the yield and nutrients were significant, indicating that both methods can be employed for the evaluation of leaf nutrients in soybean. The sufficiency ranges from the DRIS and CND methods presented superior nutrient ranges in relation to the values proposed in the literature for macronutrients, except for nitrogen, and greater range amplitudes for micronutrients.
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spelling Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.MacronutrientesMicronutrientesGlycine MaxEstado NutricionalThis study aimed to evaluate the nutrition of commercial soybean crops in an agricultural frontier region using the diagnosis and recommendation integrated system (DRIS) and compositional nutrient diagnosis (CND) methods, as well as identify sufficiency ranges. The study was performed by collecting leaf samples (third trifoliate leaf without petiole) at flowering from commercial soybean crops in the states of Piauí and Maranhão, Brazil, and evaluating the crop yield by analyzing macro- and micronutrients in the plant tissue of 98 samples. The DRIS and CND methods were applied based on the cataloged data, followed by the generation of norms, analysis of relationships between yield and nutrients (selecting high-yield crops by the cumulative function of the data), generation of sufficiency ranges, and comparison of methods. The relationships obtained by the DRIS and CND indices with the yield and nutrients were significant, indicating that both methods can be employed for the evaluation of leaf nutrients in soybean. The sufficiency ranges from the DRIS and CND methods presented superior nutrient ranges in relation to the values proposed in the literature for macronutrients, except for nitrogen, and greater range amplitudes for micronutrients.HENRIQUE ANTUNES DE SOUZA, CPAMN; DANILO EDUARDO ROZANE, UNIVERSIDADE ESTADUAL PAULISTA; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; EDVALDO SAGRILO, CPAMN; LUIZ FERNANDO CARVALHO LEITE, CPAMN; LUCÉLIA CÁSSIA RODRIGUES DE BRITO, UNIVERSIDADE FEDERAL DO PIAUÍ; MARIANA PASSOS CONCEIÇÃO, UNIVERSIDADE FEDERAL DO PARANÁ; ANE CAROLINE MELO FERREIRA, UNIVERSIDADE FEDERAL DE LAVRAS.SOUZA, H. A. deROZANE, D. E.VIEIRA, P. F. de M. J.SAGRILO, E.LEITE, L. F. C.BRITO, L. C. R. deCONCEIÇÃO, M. P.FERREIRA, A. C. M.2023-05-02T14:52:28Z2023-05-02T14:52:28Z2023-05-022023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleActa Scientiarum. Agronomy, v. 45, e59006, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153465enginfo: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:EMBRAPA2023-05-02T14:52:29Zoai:www.alice.cnptia.embrapa.br:doc/1153465Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-05-02T14:52:29falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-05-02T14:52:29Repositório 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 Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.
title Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.
spellingShingle Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.
SOUZA, H. A. de
Macronutrientes
Micronutrientes
Glycine Max
Estado Nutricional
title_short Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.
title_full Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.
title_fullStr Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.
title_full_unstemmed Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.
title_sort Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil.
author SOUZA, H. A. de
author_facet SOUZA, H. A. de
ROZANE, D. E.
VIEIRA, P. F. de M. J.
SAGRILO, E.
LEITE, L. F. C.
BRITO, L. C. R. de
CONCEIÇÃO, M. P.
FERREIRA, A. C. M.
author_role author
author2 ROZANE, D. E.
VIEIRA, P. F. de M. J.
SAGRILO, E.
LEITE, L. F. C.
BRITO, L. C. R. de
CONCEIÇÃO, M. P.
FERREIRA, A. C. M.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv HENRIQUE ANTUNES DE SOUZA, CPAMN; DANILO EDUARDO ROZANE, UNIVERSIDADE ESTADUAL PAULISTA; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; EDVALDO SAGRILO, CPAMN; LUIZ FERNANDO CARVALHO LEITE, CPAMN; LUCÉLIA CÁSSIA RODRIGUES DE BRITO, UNIVERSIDADE FEDERAL DO PIAUÍ; MARIANA PASSOS CONCEIÇÃO, UNIVERSIDADE FEDERAL DO PARANÁ; ANE CAROLINE MELO FERREIRA, UNIVERSIDADE FEDERAL DE LAVRAS.
dc.contributor.author.fl_str_mv SOUZA, H. A. de
ROZANE, D. E.
VIEIRA, P. F. de M. J.
SAGRILO, E.
LEITE, L. F. C.
BRITO, L. C. R. de
CONCEIÇÃO, M. P.
FERREIRA, A. C. M.
dc.subject.por.fl_str_mv Macronutrientes
Micronutrientes
Glycine Max
Estado Nutricional
topic Macronutrientes
Micronutrientes
Glycine Max
Estado Nutricional
description This study aimed to evaluate the nutrition of commercial soybean crops in an agricultural frontier region using the diagnosis and recommendation integrated system (DRIS) and compositional nutrient diagnosis (CND) methods, as well as identify sufficiency ranges. The study was performed by collecting leaf samples (third trifoliate leaf without petiole) at flowering from commercial soybean crops in the states of Piauí and Maranhão, Brazil, and evaluating the crop yield by analyzing macro- and micronutrients in the plant tissue of 98 samples. The DRIS and CND methods were applied based on the cataloged data, followed by the generation of norms, analysis of relationships between yield and nutrients (selecting high-yield crops by the cumulative function of the data), generation of sufficiency ranges, and comparison of methods. The relationships obtained by the DRIS and CND indices with the yield and nutrients were significant, indicating that both methods can be employed for the evaluation of leaf nutrients in soybean. The sufficiency ranges from the DRIS and CND methods presented superior nutrient ranges in relation to the values proposed in the literature for macronutrients, except for nitrogen, and greater range amplitudes for micronutrients.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-02T14:52:28Z
2023-05-02T14:52:28Z
2023-05-02
2023
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 Acta Scientiarum. Agronomy, v. 45, e59006, 2023.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153465
identifier_str_mv Acta Scientiarum. Agronomy, v. 45, e59006, 2023.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1153465
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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