Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO
Autor(a) principal: | |
---|---|
Data de Publicação: | 1998 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/4197 |
Resumo: | In order to diagnose the most limiting nutrients for soybean crop, in Rio Verde region, GO, farms were divided in distinct and homogeneous plots. Soil and leaf sampling were performed at the 50% soybean flowering stage. The third leaf from the top of 30 plants were sampled per plot. Yield was estimated from plants in 1m rows in 10 points per plot. Soil and tissue analysis were interpreted by critical levels and DRIS methods. The diagnosis precision was tested by different DRIS indices (expressions, ratios) calculation procedures. Plant nutrient condition diagnosis methods showed different interpretations. The original Beaufils method was the most precise. As related to DRIS use for soils, the resin-extracted P method was more precise than the Mehlich I extractor. Phosphorus was the most limiting nutrient for soybean crop. Potassium applied in excess caused exchangeable bases unbalance and induced a magnesium defficiency. The DRIS method showed higher sensitivity to diagnose nutrition problems, especially for micronutrients. |
id |
UFG-2_50b2bf625c1750f2a4edb4ac86af3b84 |
---|---|
oai_identifier_str |
oai:repositorio.bc.ufg.br:tede/4197 |
network_acronym_str |
UFG-2 |
network_name_str |
Repositório Institucional da UFG |
repository_id_str |
|
spelling |
Almeida Neto, José Xavier deVeloso, Ronaldohttp://lattes.cnpq.br/9052207260053937Leandro, Wilson Mozena2015-02-26T14:22:44Z1998-08-28LEANDRO, Wilson Mozena. Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO. 1998. 190 f. Tese (Doutorado em Agronomia) - Universidade Federal de Goiás, Goiânia, 1998.http://repositorio.bc.ufg.br/tede/handle/tede/4197In order to diagnose the most limiting nutrients for soybean crop, in Rio Verde region, GO, farms were divided in distinct and homogeneous plots. Soil and leaf sampling were performed at the 50% soybean flowering stage. The third leaf from the top of 30 plants were sampled per plot. Yield was estimated from plants in 1m rows in 10 points per plot. Soil and tissue analysis were interpreted by critical levels and DRIS methods. The diagnosis precision was tested by different DRIS indices (expressions, ratios) calculation procedures. Plant nutrient condition diagnosis methods showed different interpretations. The original Beaufils method was the most precise. As related to DRIS use for soils, the resin-extracted P method was more precise than the Mehlich I extractor. Phosphorus was the most limiting nutrient for soybean crop. Potassium applied in excess caused exchangeable bases unbalance and induced a magnesium defficiency. The DRIS method showed higher sensitivity to diagnose nutrition problems, especially for micronutrients.Com o objetivo de diagnosticar quais os nutrientes mais limitantes a produção da soja, áreas de fazendas da região de Rio Verde, GO, foram divididas em glebas, conforme as características locais de topografia, tipo de solo etc., procurando-se manter uniformidade dentro das glebas e diferenças entres elas. As amostras de terra e de folhas de soja foram coletadas na fase R2 (quando mais de 50% das plantas estavam no florescimento). Coletou-se a 3a. folha, a partir do ápice, 30 folhas por gleba. A produção foi obtida, retirando-se um metro linear de plantas de soja em 10 pontos, aleatoriamente. As análises foliares e de terra foram interpretadas pelo métodos dos níveis críticos e o DRIS. Testou-se a precisão de diagnóstico por diferentes procedimentos de cálculo dos índices DRIS. Os métodos de diagnose do estado nutricional apresentaram interpretações diferentes. O procedimento de Beaufils original foi mais preciso que os demais procedimentos. O P foi o nutriente mais limitante a cultura da soja. O excesso de adubação potássica provocou desequilíbrio entre as bases trocáveis com indução deficiência de Mg. Na aplicação do método DRIS no solo, as normas com o extrator resina apresentaram maior precisão de diagnóstico que as normas para o extrator Mehlich I. O método DRIS apresentou maior sensibilidade para diagnosticar problemas nutricionais, especialmente, para micronutrientes.Submitted by Erika Demachki (erikademachki@gmail.com) on 2015-02-26T14:19:45Z No. of bitstreams: 2 Tese - Wilson Mozena Leandro - 1998.pdf: 1039643 bytes, checksum: d32b2d66c06a5a99eadf33e6697c512a (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Approved for entry into archive by Erika Demachki (erikademachki@gmail.com) on 2015-02-26T14:22:44Z (GMT) No. of bitstreams: 2 Tese - Wilson Mozena Leandro - 1998.pdf: 1039643 bytes, checksum: d32b2d66c06a5a99eadf33e6697c512a (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Made available in DSpace on 2015-02-26T14:22:44Z (GMT). No. of bitstreams: 2 Tese - Wilson Mozena Leandro - 1998.pdf: 1039643 bytes, checksum: d32b2d66c06a5a99eadf33e6697c512a (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 1998-08-28Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfhttp://repositorio.bc.ufg.br/tede/retrieve/17056/Tese%20-%20Wilson%20Mozena%20Leandro%20-%201998.pdf.jpgporUniversidade Federal de GoiásPrograma de Pós-graduação em Agronomia (EAEA)UFGBrasilEscola de Agronomia e Engenharia de Alimentos - EAEA (RG)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessSolos CerradoAnálise de soloAnálise foliarCerrado soilSoil analysisFoliar analysisCIENCIAS AGRARIAS::AGRONOMIASistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GODiagnosis and recommendation integrated system (DRIS) for soybean (Glycine max L. Merril) in the Rio Verde region, GOinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis8421195611339883816006006006004500684695727928426-30911387149076039072075167498588264571reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://repositorio.bc.ufg.br/tede/bitstreams/7bfb361f-9f6f-4f28-8a67-e21433ecc260/downloadbd3efa91386c1718a7f26a329fdcb468MD51CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://repositorio.bc.ufg.br/tede/bitstreams/44455400-2563-4d29-95b9-af1d88758484/download4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_texttext/html; charset=utf-822376http://repositorio.bc.ufg.br/tede/bitstreams/943e682c-05ad-49d7-9d00-90f784bc0502/downloadb292a83e42bd8ad62533bba1395b83ffMD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-823148http://repositorio.bc.ufg.br/tede/bitstreams/e5f85610-15db-4d80-9902-b5f62df32881/download9da0b6dfac957114c6a7714714b86306MD54ORIGINALTese - Wilson Mozena Leandro - 1998.pdfTese - Wilson Mozena Leandro - 1998.pdfapplication/pdf1039643http://repositorio.bc.ufg.br/tede/bitstreams/d1b13305-ae7a-49b1-96bb-70e66de2fb30/downloadd32b2d66c06a5a99eadf33e6697c512aMD55TEXTTese - Wilson Mozena Leandro - 1998.pdf.txtTese - Wilson Mozena Leandro - 1998.pdf.txtExtracted Texttext/plain266088http://repositorio.bc.ufg.br/tede/bitstreams/3f9210cc-0cc3-47ce-baee-1be67f64fdee/download8fc007665c945022e4dd3d41308e9da0MD56THUMBNAILTese - Wilson Mozena Leandro - 1998.pdf.jpgTese - Wilson Mozena Leandro - 1998.pdf.jpgGenerated Thumbnailimage/jpeg1952http://repositorio.bc.ufg.br/tede/bitstreams/544208a4-d3ab-47f6-ab5d-f611bfc43acc/downloadf2cf4cd64555f8f87969143fde7bc85bMD57tede/41972015-02-27 03:01:20.34http://creativecommons.org/licenses/by-nc-nd/4.0/Acesso Abertoopen.accessoai:repositorio.bc.ufg.br:tede/4197http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2015-02-27T06:01:20Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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 |
dc.title.eng.fl_str_mv |
Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO |
dc.title.alternative.eng.fl_str_mv |
Diagnosis and recommendation integrated system (DRIS) for soybean (Glycine max L. Merril) in the Rio Verde region, GO |
title |
Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO |
spellingShingle |
Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO Leandro, Wilson Mozena Solos Cerrado Análise de solo Análise foliar Cerrado soil Soil analysis Foliar analysis CIENCIAS AGRARIAS::AGRONOMIA |
title_short |
Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO |
title_full |
Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO |
title_fullStr |
Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO |
title_full_unstemmed |
Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO |
title_sort |
Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO |
author |
Leandro, Wilson Mozena |
author_facet |
Leandro, Wilson Mozena |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Almeida Neto, José Xavier de |
dc.contributor.advisor-co1.fl_str_mv |
Veloso, Ronaldo |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/9052207260053937 |
dc.contributor.author.fl_str_mv |
Leandro, Wilson Mozena |
contributor_str_mv |
Almeida Neto, José Xavier de Veloso, Ronaldo |
dc.subject.por.fl_str_mv |
Solos Cerrado Análise de solo Análise foliar |
topic |
Solos Cerrado Análise de solo Análise foliar Cerrado soil Soil analysis Foliar analysis CIENCIAS AGRARIAS::AGRONOMIA |
dc.subject.eng.fl_str_mv |
Cerrado soil Soil analysis Foliar analysis |
dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::AGRONOMIA |
description |
In order to diagnose the most limiting nutrients for soybean crop, in Rio Verde region, GO, farms were divided in distinct and homogeneous plots. Soil and leaf sampling were performed at the 50% soybean flowering stage. The third leaf from the top of 30 plants were sampled per plot. Yield was estimated from plants in 1m rows in 10 points per plot. Soil and tissue analysis were interpreted by critical levels and DRIS methods. The diagnosis precision was tested by different DRIS indices (expressions, ratios) calculation procedures. Plant nutrient condition diagnosis methods showed different interpretations. The original Beaufils method was the most precise. As related to DRIS use for soils, the resin-extracted P method was more precise than the Mehlich I extractor. Phosphorus was the most limiting nutrient for soybean crop. Potassium applied in excess caused exchangeable bases unbalance and induced a magnesium defficiency. The DRIS method showed higher sensitivity to diagnose nutrition problems, especially for micronutrients. |
publishDate |
1998 |
dc.date.issued.fl_str_mv |
1998-08-28 |
dc.date.accessioned.fl_str_mv |
2015-02-26T14:22:44Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
LEANDRO, Wilson Mozena. Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO. 1998. 190 f. Tese (Doutorado em Agronomia) - Universidade Federal de Goiás, Goiânia, 1998. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/4197 |
identifier_str_mv |
LEANDRO, Wilson Mozena. Sistema integrado de diagnose e recomendação (DRIS) para a cultura da soja (Glycine max L. Merril) na região de Rio Verde-GO. 1998. 190 f. Tese (Doutorado em Agronomia) - Universidade Federal de Goiás, Goiânia, 1998. |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/4197 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
842119561133988381 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 |
dc.relation.department.fl_str_mv |
4500684695727928426 |
dc.relation.cnpq.fl_str_mv |
-3091138714907603907 |
dc.relation.sponsorship.fl_str_mv |
2075167498588264571 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Agronomia (EAEA) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Agronomia e Engenharia de Alimentos - EAEA (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Repositório Institucional da UFG |
collection |
Repositório Institucional da UFG |
bitstream.url.fl_str_mv |
http://repositorio.bc.ufg.br/tede/bitstreams/7bfb361f-9f6f-4f28-8a67-e21433ecc260/download http://repositorio.bc.ufg.br/tede/bitstreams/44455400-2563-4d29-95b9-af1d88758484/download http://repositorio.bc.ufg.br/tede/bitstreams/943e682c-05ad-49d7-9d00-90f784bc0502/download http://repositorio.bc.ufg.br/tede/bitstreams/e5f85610-15db-4d80-9902-b5f62df32881/download http://repositorio.bc.ufg.br/tede/bitstreams/d1b13305-ae7a-49b1-96bb-70e66de2fb30/download http://repositorio.bc.ufg.br/tede/bitstreams/3f9210cc-0cc3-47ce-baee-1be67f64fdee/download http://repositorio.bc.ufg.br/tede/bitstreams/544208a4-d3ab-47f6-ab5d-f611bfc43acc/download |
bitstream.checksum.fl_str_mv |
bd3efa91386c1718a7f26a329fdcb468 4afdbb8c545fd630ea7db775da747b2f b292a83e42bd8ad62533bba1395b83ff 9da0b6dfac957114c6a7714714b86306 d32b2d66c06a5a99eadf33e6697c512a 8fc007665c945022e4dd3d41308e9da0 f2cf4cd64555f8f87969143fde7bc85b |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFG - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
tasesdissertacoes.bc@ufg.br |
_version_ |
1798044417374814208 |