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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
11/05/1998 |
Data da última atualização: |
12/06/2018 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
MAGALHAES, P. C.; DURAES, F. O. M.; SILVA, J. B. da. |
Afiliação: |
PAULO CESAR MAGALHAES, CNPMS. |
Título: |
Alteração na fonte de fotoassimilados do milho, pelo efeito da deriva de herbicidas. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 6., 1996, Belém. Resumos. Belém: SBFV: EMBRAPA-CPATU, 1997. p. 226. |
Idioma: |
Português |
Thesagro: |
Controle químico; Milho. |
Categoria do assunto: |
H Saúde e Patologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/43393/1/Alteracao-fonte.pdf
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Marc: |
LEADER 00542nam a2200145 a 4500 001 1478935 005 2018-06-12 008 1997 bl uuuu u00u1 u #d 100 1 $aMAGALHAES, P. C. 245 $aAlteração na fonte de fotoassimilados do milho, pelo efeito da deriva de herbicidas.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 6., 1996, Belém. Resumos. Belém: SBFV: EMBRAPA-CPATU, 1997. p. 226.$c1997 650 $aControle químico 650 $aMilho 700 1 $aDURAES, F. O. M. 700 1 $aSILVA, J. B. da
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Embrapa Milho e Sorgo (CNPMS) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
30/07/2018 |
Data da última atualização: |
24/01/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
COSTA, H. B. A.; DANTAS, R. M.; ALVARENGA, M. B.; PERIPOLLI, V.; TANURE, C. B.; McMANUS, C. |
Afiliação: |
Heber Brenner Araujo Costa, MAPA; Rodrigo Moreira Dantas, MAPA; MARCELO BONNET ALVARENGA, CPACT; Vanessa Peripolli, IFC; Candice Bergmann Tanure, UNB; Concepta McManus, UNB. |
Título: |
Programs for best dairy management practice in Brazil and their applications. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Journal of Cleaner Production, v. 176, p. 1026-1033, 2018. |
Idioma: |
Inglês |
Conteúdo: |
Abstract A national milk productivity index was defined and then used to direct the suitability of best management practices programs using milk production (i.e., milk production, value of milk and cow numbers by municipality, productivity per cow per municipality and value of milk per cow) as well as socioeconomic and environmental data for Brazilian municipalities. Production data were analyzed using SAS®v.9.3, generating clusters (high, medium, low and no milk productivity) which were then subjected to spatial analysis using ArcGIS 10 software. Socioeconomic and environmental characteristics of production clusters were also statistically discriminated using SAS®v.9.3. Eleven general characteristics of six best management programs available to the Brazilian farmer were classified by experts to ascertain where they should be applied and where government should focus its resources. The six programs studied included: Safe food Program (SFP); Good Practices for Sustainability Program (GPSP); Good Practices on the Farm Program (GPFP); Quality Milk Production Program (QMPP); Educampo Project (EP); and Full Bucket Project (FBP). The eleven general characteristics of these programs included: ease of implementation, time required for implementation, cost of implementation and monthly maintenance, evaluation by milk producers, evaluation by dairy industries, stimulation of additional payment for milk quality, adhesion to best management practices of milk and dairy products, producer-dairy integration, practical application and target audience priority, and adaptability to the FAO & IDF Guide (2013). SFP is more suitable for farms with higher productivity due to difficult implementation, medium cost of monthly maintenance, in municipalities with a high milk productivity index. QMPP could be used to improve milk quality, especially in small and medium dairy farms in locations with low or medium milk productivity indices. MenosAbstract A national milk productivity index was defined and then used to direct the suitability of best management practices programs using milk production (i.e., milk production, value of milk and cow numbers by municipality, productivity per cow per municipality and value of milk per cow) as well as socioeconomic and environmental data for Brazilian municipalities. Production data were analyzed using SAS®v.9.3, generating clusters (high, medium, low and no milk productivity) which were then subjected to spatial analysis using ArcGIS 10 software. Socioeconomic and environmental characteristics of production clusters were also statistically discriminated using SAS®v.9.3. Eleven general characteristics of six best management programs available to the Brazilian farmer were classified by experts to ascertain where they should be applied and where government should focus its resources. The six programs studied included: Safe food Program (SFP); Good Practices for Sustainability Program (GPSP); Good Practices on the Farm Program (GPFP); Quality Milk Production Program (QMPP); Educampo Project (EP); and Full Bucket Project (FBP). The eleven general characteristics of these programs included: ease of implementation, time required for implementation, cost of implementation and monthly maintenance, evaluation by milk producers, evaluation by dairy industries, stimulation of additional payment for milk quality, adhesion to best management practices of milk and dairy products, producer... Mostrar Tudo |
Palavras-Chave: |
Government; Technical assistance. |
Thesaurus NAL: |
Certification; Milk; Multivariate analysis. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02634naa a2200241 a 4500 001 2093694 005 2023-01-24 008 2018 bl uuuu u00u1 u #d 100 1 $aCOSTA, H. B. A. 245 $aPrograms for best dairy management practice in Brazil and their applications.$h[electronic resource] 260 $c2018 520 $aAbstract A national milk productivity index was defined and then used to direct the suitability of best management practices programs using milk production (i.e., milk production, value of milk and cow numbers by municipality, productivity per cow per municipality and value of milk per cow) as well as socioeconomic and environmental data for Brazilian municipalities. Production data were analyzed using SAS®v.9.3, generating clusters (high, medium, low and no milk productivity) which were then subjected to spatial analysis using ArcGIS 10 software. Socioeconomic and environmental characteristics of production clusters were also statistically discriminated using SAS®v.9.3. Eleven general characteristics of six best management programs available to the Brazilian farmer were classified by experts to ascertain where they should be applied and where government should focus its resources. The six programs studied included: Safe food Program (SFP); Good Practices for Sustainability Program (GPSP); Good Practices on the Farm Program (GPFP); Quality Milk Production Program (QMPP); Educampo Project (EP); and Full Bucket Project (FBP). The eleven general characteristics of these programs included: ease of implementation, time required for implementation, cost of implementation and monthly maintenance, evaluation by milk producers, evaluation by dairy industries, stimulation of additional payment for milk quality, adhesion to best management practices of milk and dairy products, producer-dairy integration, practical application and target audience priority, and adaptability to the FAO & IDF Guide (2013). SFP is more suitable for farms with higher productivity due to difficult implementation, medium cost of monthly maintenance, in municipalities with a high milk productivity index. QMPP could be used to improve milk quality, especially in small and medium dairy farms in locations with low or medium milk productivity indices. 650 $aCertification 650 $aMilk 650 $aMultivariate analysis 653 $aGovernment 653 $aTechnical assistance 700 1 $aDANTAS, R. M. 700 1 $aALVARENGA, M. B. 700 1 $aPERIPOLLI, V. 700 1 $aTANURE, C. B. 700 1 $aMcMANUS, C. 773 $tJournal of Cleaner Production$gv. 176, p. 1026-1033, 2018.
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