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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
24/10/1996 |
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Data da última atualização: |
01/06/2006 |
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Autoria: |
GALERANI, P. R. |
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Afiliação: |
EMBRAPA-CNPSo. Londrina, PR. |
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Título: |
Diffusion of research results to extension personnel: an example based on soybean production systems and soybean diseases in Illinois. |
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Ano de publicação: |
1981 |
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Fonte/Imprenta: |
Urbana-Champaign: University of Illinois, 1981. |
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Páginas: |
170p. |
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Idioma: |
Inglês |
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Notas: |
M.Sc. Thesis. |
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Conteúdo: |
The acceptance of research results by extension workers has not been thoroughly studied. There is evidence that if extension agents do not participate in the identification farmers constraints, which generates new research projects, they will not understand the applicability of research results and thus not accept it. This negatively affects the diffusion-adoption process to the farmers. Research in soybean production systems was used to improve the participation and interrelationship between extension agents and researchers. Factors adversely affecting soybean systems at the farmer's level were identified and models of improved soybean systems designed and tested. The combination of the factors including tillage systems, row spacing, cultivar use and their economic performance were studied. The top five soybean production systems were identified by evaluating their technical and economical performance. In 1980, the systems (treaments) Corsoy 79 in disk tillage at 25-cm spacing; Corsoy 79 in conventional tillage at 25-cm; Corsoy 79 in sweep plow tillage at 25-cm; and Corsoy 79 in disk tillage at 76-cm were the top five systems considering yield as the production factor. The combination of these three factors influenced the natural occurrence of diseases. Brown spot was found to be the disease most influencing yield. Bacterial blight alone had little influence on yield but when in combination with brown spot they were the second most important disease. Pod and stem blight was the stem disease with greatest affect on yield. Yield was influenced first by tillage system, second by spacing and least by cultivar. Cultivar, however was found to be the most... MenosThe acceptance of research results by extension workers has not been thoroughly studied. There is evidence that if extension agents do not participate in the identification farmers constraints, which generates new research projects, they will not understand the applicability of research results and thus not accept it. This negatively affects the diffusion-adoption process to the farmers. Research in soybean production systems was used to improve the participation and interrelationship between extension agents and researchers. Factors adversely affecting soybean systems at the farmer's level were identified and models of improved soybean systems designed and tested. The combination of the factors including tillage systems, row spacing, cultivar use and their economic performance were studied. The top five soybean production systems were identified by evaluating their technical and economical performance. In 1980, the systems (treaments) Corsoy 79 in disk tillage at 25-cm spacing; Corsoy 79 in conventional tillage at 25-cm; Corsoy 79 in sweep plow tillage at 25-cm; and Corsoy 79 in disk tillage at 76-cm were the top five systems considering yield as the production factor. The combination of these three factors influenced the natural occurrence of diseases. Brown spot was found to be the disease most influencing yield. Bacterial blight alone had little influence on yield but when in combination with brown spot they were the second most important disease. Pod and stem blight was... Mostrar Tudo |
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Palavras-Chave: |
Difusão; Disease; Estados Unidos; EUA; Production systems; Programas de extensao; Research program; Sistema; Soybean; System; USA. |
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Thesagro: |
Análise Econômica; Difusão de Tecnologia; Doença; Produção; Programa de Pesquisa; Sistema de Produção; Soja; Tecnologia. |
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Thesaurus NAL: |
diffusion; economic analysis; extension programs; Illinois; technology. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02810nam a2200421 a 4500
001 1459088
005 2006-06-01
008 1981 bl uuuu m 00u1 u #d
100 1 $aGALERANI, P. R.
245 $aDiffusion of research results to extension personnel$ban example based on soybean production systems and soybean diseases in Illinois.
260 $aUrbana-Champaign: University of Illinois$c1981
300 $a170p.
500 $aM.Sc. Thesis.
520 $aThe acceptance of research results by extension workers has not been thoroughly studied. There is evidence that if extension agents do not participate in the identification farmers constraints, which generates new research projects, they will not understand the applicability of research results and thus not accept it. This negatively affects the diffusion-adoption process to the farmers. Research in soybean production systems was used to improve the participation and interrelationship between extension agents and researchers. Factors adversely affecting soybean systems at the farmer's level were identified and models of improved soybean systems designed and tested. The combination of the factors including tillage systems, row spacing, cultivar use and their economic performance were studied. The top five soybean production systems were identified by evaluating their technical and economical performance. In 1980, the systems (treaments) Corsoy 79 in disk tillage at 25-cm spacing; Corsoy 79 in conventional tillage at 25-cm; Corsoy 79 in sweep plow tillage at 25-cm; and Corsoy 79 in disk tillage at 76-cm were the top five systems considering yield as the production factor. The combination of these three factors influenced the natural occurrence of diseases. Brown spot was found to be the disease most influencing yield. Bacterial blight alone had little influence on yield but when in combination with brown spot they were the second most important disease. Pod and stem blight was the stem disease with greatest affect on yield. Yield was influenced first by tillage system, second by spacing and least by cultivar. Cultivar, however was found to be the most...
650 $adiffusion
650 $aeconomic analysis
650 $aextension programs
650 $aIllinois
650 $atechnology
650 $aAnálise Econômica
650 $aDifusão de Tecnologia
650 $aDoença
650 $aProdução
650 $aPrograma de Pesquisa
650 $aSistema de Produção
650 $aSoja
650 $aTecnologia
653 $aDifusão
653 $aDisease
653 $aEstados Unidos
653 $aEUA
653 $aProduction systems
653 $aProgramas de extensao
653 $aResearch program
653 $aSistema
653 $aSoybean
653 $aSystem
653 $aUSA
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