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Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
24/11/1993 |
Data da última atualização: |
10/11/2015 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
CERDEIRA, A. L.; FORSTER, R. |
Afiliação: |
ANTONIO LUIZ CERDEIRA, CNPMA; REINALDO FORSTER, CNPMA. |
Título: |
Persistence of picloran in Brazilian soil. |
Ano de publicação: |
1992 |
Fonte/Imprenta: |
In: INTERNATIONAL WEED CONTROL CONGRESS, 1., 1992, Melbourne. Proceedings. Melbourne: Monash University, 1992. |
Volume: |
v.2 |
Páginas: |
p.117 |
Idioma: |
Inglês |
Conteúdo: |
The persistence of the herbicide picloran (4-amino - 3,5,6 - trichloropicolinic acid) was studied in "Latossolo vermelho" soil (36% clay, 2% organic matter) in Jaguariuna county, Sao Paulo, Brazil. The herbicide was sprayed on plowed soil in March, 1989, at rates of 0.0; 0.56 and 1.12 g/ha. Picloran persistence was evaluated using bioassay with bean (Phaseolus vulagris L.). The data showed that the herbicide was very persistent up to 180 days, just at the raining season, October to December. At the same interval, from 180 to 240 days, typical visual symptoms disappeared, although there were still effects on height of plants, length of leaves and dry weight. No effect of the herbicide was detected after 300 days. |
Palavras-Chave: |
Herbicide; Persistence. |
Thesaurus Nal: |
beans; chemical control; picloram; soil; weeds. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/87002/1/1992RAs-003.pdf
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Marc: |
LEADER 01351nam a2200229 a 4500 001 1011007 005 2015-11-10 008 1992 bl uuuu u00u1 u #d 100 1 $aCERDEIRA, A. L. 245 $aPersistence of picloran in Brazilian soil.$h[electronic resource] 260 $aIn: INTERNATIONAL WEED CONTROL CONGRESS, 1., 1992, Melbourne. Proceedings. Melbourne: Monash University$c1992 300 $ap.117 v.2 490 $vv.2 520 $aThe persistence of the herbicide picloran (4-amino - 3,5,6 - trichloropicolinic acid) was studied in "Latossolo vermelho" soil (36% clay, 2% organic matter) in Jaguariuna county, Sao Paulo, Brazil. The herbicide was sprayed on plowed soil in March, 1989, at rates of 0.0; 0.56 and 1.12 g/ha. Picloran persistence was evaluated using bioassay with bean (Phaseolus vulagris L.). The data showed that the herbicide was very persistent up to 180 days, just at the raining season, October to December. At the same interval, from 180 to 240 days, typical visual symptoms disappeared, although there were still effects on height of plants, length of leaves and dry weight. No effect of the herbicide was detected after 300 days. 650 $abeans 650 $achemical control 650 $apicloram 650 $asoil 650 $aweeds 653 $aHerbicide 653 $aPersistence 700 1 $aFORSTER, R.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
04/11/2004 |
Data da última atualização: |
17/01/2020 |
Autoria: |
SOUZA, K. X. S. de; DAVIS, J. |
Afiliação: |
KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; JOSEPH DAVIS, The University of Sidney. |
Título: |
Aligning ontologies and evaluating concept similarities. |
Ano de publicação: |
2004 |
Fonte/Imprenta: |
In: OTM CONFEDERATED INTERNATIONAL CONFERENCES, 3.; COOPERATIVE INFORMATION SYSTEMS; DISTRIBUTED OBJECTS AND APPLICATIONS; ONTOLOGIES, DATABASES AND APPLICATIONS OF SEMANTICS, 2014, Agia Napa. On the move to meaningful internet systems 2004: CoopIS, DOA, and ODBASE: proceedings. Berlin: Springer, 2004. part. II, p. 1012-1029. |
Série: |
(Lecture notes in computer science, 3291). |
ISBN: |
3-540-23662-7 |
Idioma: |
Inglês |
Notas: |
Editores: Robert Meersman, Zahir Tari. CoopIS, DOA, ODBASE 2004. |
Conteúdo: |
Abstract. An innate characteristic of the development of ontologies is that they are often created by independent groups of expertise, which generates the necessity of merging and aligning ontologies covering overlapping domains. However, a central issue in the merging process is the evaluation of the differences between two ontologies, viz. the establishment of a similarity measure between their concepts. Many algorithms and tools have been proposed for merging of ontologies, but the majority of them disregard the structural properties of the source ontologies, focusing mostly on syntactic analysis. This article focuses on the alignment of ontologies through Formal Concept Analysis, a data analysis technique founded on lattice theory, and on the use of similarity measures to identify cross-ontology related concepts |
Palavras-Chave: |
Formal Concept Analysis; Galois lattice; Lattice theory; Ontologia; Ontology; Thesaurus. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01822nam a2200229 a 4500 001 1008265 005 2020-01-17 008 2004 bl uuuu u00u1 u #d 020 $a3-540-23662-7 100 1 $aSOUZA, K. X. S. de 245 $aAligning ontologies and evaluating concept similarities.$h[electronic resource] 260 $aIn: OTM CONFEDERATED INTERNATIONAL CONFERENCES, 3.; COOPERATIVE INFORMATION SYSTEMS; DISTRIBUTED OBJECTS AND APPLICATIONS; ONTOLOGIES, DATABASES AND APPLICATIONS OF SEMANTICS, 2014, Agia Napa. On the move to meaningful internet systems 2004: CoopIS, DOA, and ODBASE: proceedings. Berlin: Springer, 2004. part. II, p. 1012-1029.$c1029 490 $a(Lecture notes in computer science, 3291). 500 $aEditores: Robert Meersman, Zahir Tari. CoopIS, DOA, ODBASE 2004. 520 $aAbstract. An innate characteristic of the development of ontologies is that they are often created by independent groups of expertise, which generates the necessity of merging and aligning ontologies covering overlapping domains. However, a central issue in the merging process is the evaluation of the differences between two ontologies, viz. the establishment of a similarity measure between their concepts. Many algorithms and tools have been proposed for merging of ontologies, but the majority of them disregard the structural properties of the source ontologies, focusing mostly on syntactic analysis. This article focuses on the alignment of ontologies through Formal Concept Analysis, a data analysis technique founded on lattice theory, and on the use of similarity measures to identify cross-ontology related concepts 653 $aFormal Concept Analysis 653 $aGalois lattice 653 $aLattice theory 653 $aOntologia 653 $aOntology 653 $aThesaurus 700 1 $aDAVIS, J.
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