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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
22/07/1999 |
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Data da última atualização: |
05/07/2006 |
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Autoria: |
ALMEIDA, L. A.; KIIHL, R. A. S.; MIRANDA.; L. C.; PIPOLO, A. E.; YORINORI, J. T.; KASTER, M.; DOMIT, L. A. |
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Título: |
Cultivar de soja BRS 133. |
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Ano de publicação: |
1999 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE SOJA, 1999, Londrina. Anais... Londrina: Embrapa Soja, 1999. |
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Páginas: |
p.483. |
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Série: |
(Embrapa Soja. Documentos, 124). |
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Idioma: |
Português |
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Conteúdo: |
A cultivar de soja BRS 133 foi desenvolvida pelo Centro Nacional de Pesquisa de Soja - Embrapa Soja, a partir do cruzamento FT-Abyara x BR83-147, realizado em 1985/86, em Londrina, PR. A populacao foi conduzida pelo metodo genealogico modificado e a linhagem foi selecionada na populacao F6, recebendo a sigla BR91-12418. As avaliacoes de rendimento de graos e de adaptacao a diferentes ambientes, no Estado do Parana, foram feitas atraves dos ensaios de avaliacao intermediaria e final de 1993/94 a 1995/96. A cv. BRS 133 e do tipo de crescimento determinado e do grupo de maturacao semiprecoce, com a duracao media de 121 dias da emergencia a maturacao, quando semeada na primeira quinzena de novembro, no Parana. Possui flor branca, pubescencia marrom, vagem marrom clara e semente de tegumento amarelo fosco com hilo marrom. Apresenta altura media das plantas de 82 cm, boa resistencia ao acamamento e a deiscencia das vagens. E resistente a pustula bacteriana (Xanthomonas axonopodis pv. glycines), a mancha "olho-de-ra" (Cercospora sojina) e ao cancro da haste (Diaporthe phaseolorum f.sp. meridionalis). Os teores medios de oleo e de proteina sao de 18,0% e 38,6%, respectivamente. Na media dos 30 ambientes em que foi testada, a BRS 133 apresentou a produtividade media de 3.600 kg/ha, valor 8,5% superior ao da cultivar-padrao BR-16. Em 1997 foi indicada para cultivo comercial no Estado do Parana. |
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Palavras-Chave: |
Cultivar; Genetic; Soybean. |
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Thesagro: |
Genética; Melhoramento; Soja. |
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Thesaurus Nal: |
breeding; varieties. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02214naa a2200325 a 4500
001 1460833
005 2006-07-05
008 1999 bl uuuu u00u1 u #d
100 1 $aALMEIDA, L. A.
245 $aCultivar de soja BRS 133.
260 $c1999
300 $ap.483.
490 $a(Embrapa Soja. Documentos, 124).
520 $aA cultivar de soja BRS 133 foi desenvolvida pelo Centro Nacional de Pesquisa de Soja - Embrapa Soja, a partir do cruzamento FT-Abyara x BR83-147, realizado em 1985/86, em Londrina, PR. A populacao foi conduzida pelo metodo genealogico modificado e a linhagem foi selecionada na populacao F6, recebendo a sigla BR91-12418. As avaliacoes de rendimento de graos e de adaptacao a diferentes ambientes, no Estado do Parana, foram feitas atraves dos ensaios de avaliacao intermediaria e final de 1993/94 a 1995/96. A cv. BRS 133 e do tipo de crescimento determinado e do grupo de maturacao semiprecoce, com a duracao media de 121 dias da emergencia a maturacao, quando semeada na primeira quinzena de novembro, no Parana. Possui flor branca, pubescencia marrom, vagem marrom clara e semente de tegumento amarelo fosco com hilo marrom. Apresenta altura media das plantas de 82 cm, boa resistencia ao acamamento e a deiscencia das vagens. E resistente a pustula bacteriana (Xanthomonas axonopodis pv. glycines), a mancha "olho-de-ra" (Cercospora sojina) e ao cancro da haste (Diaporthe phaseolorum f.sp. meridionalis). Os teores medios de oleo e de proteina sao de 18,0% e 38,6%, respectivamente. Na media dos 30 ambientes em que foi testada, a BRS 133 apresentou a produtividade media de 3.600 kg/ha, valor 8,5% superior ao da cultivar-padrao BR-16. Em 1997 foi indicada para cultivo comercial no Estado do Parana.
650 $abreeding
650 $avarieties
650 $aGenética
650 $aMelhoramento
650 $aSoja
653 $aCultivar
653 $aGenetic
653 $aSoybean
700 1 $aKIIHL, R. A. S.
700 1 $aMIRANDA.
700 1 $aL. C.
700 1 $aPIPOLO, A. E.
700 1 $aYORINORI, J. T.
700 1 $aKASTER, M.
700 1 $aDOMIT, L. A.
773 $tIn: CONGRESSO BRASILEIRO DE SOJA, 1999, Londrina. Anais... Londrina: Embrapa Soja, 1999.
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Registro original: |
Embrapa Soja (CNPSO) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
07/12/2018 |
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Data da última atualização: |
28/01/2021 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
VAZ, G. J.; SILVA NETO, L. de F. da; OLIVEIRA, S. R. de M.; BOTELHO, F. P.; ARAUJO FILHO, J. C. de. |
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Afiliação: |
GLAUBER JOSE VAZ, CNPTIA; LUIS DE FRANCA DA SILVA NETO, CNPS; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; FABIO PEREIRA BOTELHO, CNPS; JOSE COELHO DE ARAUJO FILHO, CNPS. |
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Título: |
Development of an expert system for classification of Brazilian soil profiles. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
WCSS 2018. Publicado também em: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science beyond food and fuel: proceedings. Viçosa, MG: Sociedade Brasileira de Ciência do Solo, 2019. v. I, p. 56-57. Editores: Leandro Souza da Silva, Lúcia Helena Cunha dos Anjos, Dalvan José Reinert, Heitor Cantarella, Cristine C. Muggler, Raphael B. A. Fernandes, Igor Rodrigues de Assis, Flávio A. de Oliveira Camargo. |
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Conteúdo: |
The Brazilian Soil Classification System (BSCS) is the official taxonomic system for soil classification in Brazil. With the collaboration of professionals from several research and teaching institutions in the country, BSCS is in its third printed edition. Although it has been published many years ago, there is still no widely available computer program that simulates the decision-making of domain experts for the classification of Brazilian soils. The objective of this work is to build an expert system to assist professionals who need to classify Brazilian soil profiles. Based on the BSCS rules, the system simulates the reasoning of a domain expert when performing the classification of soil profiles. In addition to assisting the work of pedologists, the system can be used as a didactic resource, since it can explain in detail the path that leads to a particular solution. The system is in the prototype phase and has been developed in the Prolog language. It is able to classify soil profiles according to BSCS in different categorical levels, according to the data provided. Tests are being conducted on hundreds of samples already classified by domain experts. The development of this system brings many benefits, to wit: a) it increases the availability of knowledge on soil classification; b) it assists in the dissemination of BSCS, since it is documented not only in the form of publication, but also in software format; c) it is a rule-based system, so its development can be incremental, enabling consistency and performance tests as new knowledge is introduced; d) it has been developed using free software, resulting in reduced costs for its operation and maintenance, by the research institutions and users interested in its functionalities. Apart from these benefits, this software tool can still be used to validate previously classified profiles, classify new soil profiles and subsidize the evolution of BSCS, since it is an open taxonomic system. MenosThe Brazilian Soil Classification System (BSCS) is the official taxonomic system for soil classification in Brazil. With the collaboration of professionals from several research and teaching institutions in the country, BSCS is in its third printed edition. Although it has been published many years ago, there is still no widely available computer program that simulates the decision-making of domain experts for the classification of Brazilian soils. The objective of this work is to build an expert system to assist professionals who need to classify Brazilian soil profiles. Based on the BSCS rules, the system simulates the reasoning of a domain expert when performing the classification of soil profiles. In addition to assisting the work of pedologists, the system can be used as a didactic resource, since it can explain in detail the path that leads to a particular solution. The system is in the prototype phase and has been developed in the Prolog language. It is able to classify soil profiles according to BSCS in different categorical levels, according to the data provided. Tests are being conducted on hundreds of samples already classified by domain experts. The development of this system brings many benefits, to wit: a) it increases the availability of knowledge on soil classification; b) it assists in the dissemination of BSCS, since it is documented not only in the form of publication, but also in software format; c) it is a rule-based system, so its development can be inc... Mostrar Tudo |
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Palavras-Chave: |
Brazilian Soil Classification System; Classificação de solos; Sistema especialista. |
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Thesaurus NAL: |
Expert systems; Soil classification. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/187974/1/Development-VAZ-WCSS-2018.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/200718/1/Development-VAZ-WCSS-2019.pdf
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Marc: |
LEADER 03228nam a2200241 a 4500
001 2100967
005 2021-01-28
008 2018 bl uuuu u00u1 u #d
100 1 $aVAZ, G. J.
245 $aDevelopment of an expert system for classification of Brazilian soil profiles.$h[electronic resource]
260 $aIn: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS$c2018
300 $aNão paginado.
500 $aWCSS 2018. Publicado também em: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science beyond food and fuel: proceedings. Viçosa, MG: Sociedade Brasileira de Ciência do Solo, 2019. v. I, p. 56-57. Editores: Leandro Souza da Silva, Lúcia Helena Cunha dos Anjos, Dalvan José Reinert, Heitor Cantarella, Cristine C. Muggler, Raphael B. A. Fernandes, Igor Rodrigues de Assis, Flávio A. de Oliveira Camargo.
520 $aThe Brazilian Soil Classification System (BSCS) is the official taxonomic system for soil classification in Brazil. With the collaboration of professionals from several research and teaching institutions in the country, BSCS is in its third printed edition. Although it has been published many years ago, there is still no widely available computer program that simulates the decision-making of domain experts for the classification of Brazilian soils. The objective of this work is to build an expert system to assist professionals who need to classify Brazilian soil profiles. Based on the BSCS rules, the system simulates the reasoning of a domain expert when performing the classification of soil profiles. In addition to assisting the work of pedologists, the system can be used as a didactic resource, since it can explain in detail the path that leads to a particular solution. The system is in the prototype phase and has been developed in the Prolog language. It is able to classify soil profiles according to BSCS in different categorical levels, according to the data provided. Tests are being conducted on hundreds of samples already classified by domain experts. The development of this system brings many benefits, to wit: a) it increases the availability of knowledge on soil classification; b) it assists in the dissemination of BSCS, since it is documented not only in the form of publication, but also in software format; c) it is a rule-based system, so its development can be incremental, enabling consistency and performance tests as new knowledge is introduced; d) it has been developed using free software, resulting in reduced costs for its operation and maintenance, by the research institutions and users interested in its functionalities. Apart from these benefits, this software tool can still be used to validate previously classified profiles, classify new soil profiles and subsidize the evolution of BSCS, since it is an open taxonomic system.
650 $aExpert systems
650 $aSoil classification
653 $aBrazilian Soil Classification System
653 $aClassificação de solos
653 $aSistema especialista
700 1 $aSILVA NETO, L. de F. da
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aBOTELHO, F. P.
700 1 $aARAUJO FILHO, J. C. de
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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