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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Amazônia Ocidental; Embrapa Instrumentação; Embrapa Meio Ambiente; Embrapa Rondônia. |
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Data corrente: |
13/01/2021 |
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Data da última atualização: |
13/01/2021 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
COSTA, J. R. da; ALENCAR, J. R. de; COSTA, P. da; HAMMES, V. S.; VICTORIA, D. de C.; JESUS, K. R. E. de; CIPRIANI, H. N.; BUSCHINELLI, C. C. de A.; CALEGARIO, F. F.; RODRIGUES, G. S.; MAGALHÃES, L. A.; MARMO, C. R.; LIRA-GUEDES, A. C.; GUEDES, M. C.; FORATO, L. A. |
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Afiliação: |
JOANNE REGIS DA COSTA, CPAA; Junia Rodrigues de Alencar; Patricia da Costa; VALERIA SUCENA HAMMES, SIRE; Daniel de Castro Victoria; Katia Regina Evaristo de Jesus; HENRIQUE NERY CIPRIANI, CPAF-RO; Claudio Cesar de Almeida Buschinelli; Fagoni Fayer Calegario; Geraldo Stachetti Rodrigues; Lucíola Alves Magalhães; Carlos Renato Marmo; Ana Cláudia Lira-Guedes; Marcelino Carneiro Guedes; Lucimara Aparecida Forato. |
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Título: |
Territorial intelligence: planning, management and systems to support strategic decisions. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
In: COSTA, J. R. da; COSTA, P. da; ALMEIDA, J. S. S. E.; HAMMES, V. S. (Ed.). Sustainable cities and communities: contributions of Embrapa. Brasília, DF: Embrapa, 2020. p. 33-68. (Sustainable development goals, 11). |
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Idioma: |
Inglês |
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Conteúdo: |
Strategic territorial intelligence. Participatory community-level planning. PGMacro method. Planning for farm management. Territorial management. Agricultural and hydrological models, mapping of agricultural areas and integration of spatial data for managemen. Environmental management plan for small rural propert. Integrated waste management. Urban and peri-urban farming. Sistema Filho. Productive yard. Vegetable garden in small spaces. Maize intercropped with corn in urban agriculture area. Recommendations for pest control in urban gardens. Strategic management decision support systems. INOVA-tec System for evaluating technological innovations impact. Agrometeorological Monitoring System. Software for georeferenced data and image collection. System for Observation and Monitoring of Agriculture in Brazil. Brazilian Land Classification System for Irrigation. Brazilian Soil Information System. Information and communication technologies to support technological solutions. Systems to support studies on climate change. Multi-Institutional Platform to Monitor Greenhouse Gas Emission Reductions. Multisensor Calibration and Atmospheric Correction System. Virtual database of Coastal Ecosystems of the Campos Basin. Soil organic carbon map. Instrumentation solutions for sustainable development. Environmental sanitation. Biodigester Septic Tank. Technologies and processes for sustainable production. Energy and territorial managemen. Energy forests in the Brazilian agroenergy mix. Solar irrigation device. MenosStrategic territorial intelligence. Participatory community-level planning. PGMacro method. Planning for farm management. Territorial management. Agricultural and hydrological models, mapping of agricultural areas and integration of spatial data for managemen. Environmental management plan for small rural propert. Integrated waste management. Urban and peri-urban farming. Sistema Filho. Productive yard. Vegetable garden in small spaces. Maize intercropped with corn in urban agriculture area. Recommendations for pest control in urban gardens. Strategic management decision support systems. INOVA-tec System for evaluating technological innovations impact. Agrometeorological Monitoring System. Software for georeferenced data and image collection. System for Observation and Monitoring of Agriculture in Brazil. Brazilian Land Classification System for Irrigation. Brazilian Soil Information System. Information and communication technologies to support technological solutions. Systems to support studies on climate change. Multi-Institutional Platform to Monitor Greenhouse Gas Emission Reductions. Multisensor Calibration and Atmospheric Correction System. Virtual database of Coastal Ecosystems of the Campos Basin. Soil organic carbon map. Instrumentation solutions for sustainable development. Environmental sanitation. Biodigester Septic Tank. Technologies and processes for sustainable production. Energy and territorial managemen. Energy forests in the Brazilian agroenergy mix. Solar ... Mostrar Tudo |
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Palavras-Chave: |
Gestão territorial; Technological solutions. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/220276/1/Sustainable-cities-and-communities-contributions-of-Embrapa-cap3.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/220338/1/Sustainable-cities-and-communities-contributions-of-Embrapa-cap3.pdf
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Marc: |
LEADER 02608naa a2200313 a 4500
001 2129311
005 2021-01-13
008 2020 bl uuuu u00u1 u #d
100 1 $aCOSTA, J. R. da
245 $aTerritorial intelligence$bplanning, management and systems to support strategic decisions.$h[electronic resource]
260 $c2020
520 $aStrategic territorial intelligence. Participatory community-level planning. PGMacro method. Planning for farm management. Territorial management. Agricultural and hydrological models, mapping of agricultural areas and integration of spatial data for managemen. Environmental management plan for small rural propert. Integrated waste management. Urban and peri-urban farming. Sistema Filho. Productive yard. Vegetable garden in small spaces. Maize intercropped with corn in urban agriculture area. Recommendations for pest control in urban gardens. Strategic management decision support systems. INOVA-tec System for evaluating technological innovations impact. Agrometeorological Monitoring System. Software for georeferenced data and image collection. System for Observation and Monitoring of Agriculture in Brazil. Brazilian Land Classification System for Irrigation. Brazilian Soil Information System. Information and communication technologies to support technological solutions. Systems to support studies on climate change. Multi-Institutional Platform to Monitor Greenhouse Gas Emission Reductions. Multisensor Calibration and Atmospheric Correction System. Virtual database of Coastal Ecosystems of the Campos Basin. Soil organic carbon map. Instrumentation solutions for sustainable development. Environmental sanitation. Biodigester Septic Tank. Technologies and processes for sustainable production. Energy and territorial managemen. Energy forests in the Brazilian agroenergy mix. Solar irrigation device.
653 $aGestão territorial
653 $aTechnological solutions
700 1 $aALENCAR, J. R. de
700 1 $aCOSTA, P. da
700 1 $aHAMMES, V. S.
700 1 $aVICTORIA, D. de C.
700 1 $aJESUS, K. R. E. de
700 1 $aCIPRIANI, H. N.
700 1 $aBUSCHINELLI, C. C. de A.
700 1 $aCALEGARIO, F. F.
700 1 $aRODRIGUES, G. S.
700 1 $aMAGALHÃES, L. A.
700 1 $aMARMO, C. R.
700 1 $aLIRA-GUEDES, A. C.
700 1 $aGUEDES, M. C.
700 1 $aFORATO, L. A.
773 $tIn: COSTA, J. R. da; COSTA, P. da; ALMEIDA, J. S. S. E.; HAMMES, V. S. (Ed.). Sustainable cities and communities: contributions of Embrapa. Brasília, DF: Embrapa, 2020. p. 33-68. (Sustainable development goals, 11).
Download
Esconder MarcMostrar Marc Completo |
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo; Embrapa Unidades Centrais. |
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Data corrente: |
13/03/2009 |
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Data da última atualização: |
30/05/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
MIRANDA, G. V.; SOUZA, L. V. de; GUIMARAES, L. J. M.; NAMORATO, H.; OLIVEIRA, L. R.; SOARES, M. O. |
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Afiliação: |
Glauco Vieira Miranda, UFV; Leandro Vagno de Souza, Epamig; LAURO JOSE MOREIRA GUIMARAES, CNPMS; Heraldo Namorato, UFV; Lucimar Rodrigues Oliveira, UFV; Marcelo Oliveira Soares, UFV. |
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Título: |
Multivariate analyses of genotype x environment interaction of popcorn. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasilia, v. 44, n. 1, p. 45-50, 2009. |
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DOI: |
10.1590/S0100-204X2009000100007 |
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Idioma: |
Inglês |
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Conteúdo: |
The objectives of this work were to evaluate the genotype x environment (GxE) interaction for popcorn and to compare two multivariate analyses methods. Nine popcorn cultivars were sown on four dates one month apart during each of the agricultural years 1998/1999 and 1999/2000. The experiments were carried out using randomized block designs, with four replicates. The cv. Zélia contributed the least to the GxE interaction. The cv. Viçosa performed similarly to cv. Rosa-claro. Optimization of GxE was obtained for cv. CMS 42 for a favorable mega-environment, and for cv. CMS 43 for an unfavorable environment. Multivariate analysis supported the results from the method of Eberhart & Russell. The graphic analysis of the Additive Main effects and Multiplicative Interaction (AMMI) model was simple, allowing conclusions to be made about stability, genotypic performance, genetic divergence between cultivars, and the environments that optimize cultivar performance. The graphic analysis of the Genotype main effects and Genotype x Environment interaction (GGE) method added to AMMI information on environmental stratification, defining mega-environments and the cultivars that optimized performance in those mega-environments. Both methods are adequate to explain the genotype x environment interactions. Os objetivos deste trabalho foram avaliar a interação genótipo x ambiente (GxA) em milho-pipoca e comparar dois métodos de análise multivariada (AMMI e GGE). Os tratamentos foram nove cultivares de milho-pipoca, plantadas em quatro épocas de semeadura em cada ano de cultivo em 1998/1999 e 1999/2000. O delineamento foi em blocos ao acaso, com quatro repetições. A cultivar Zélia foi a que menos contribuiu para a interação GxA. As cultivares Viçosa e Rosa-claro mostraram desempenhos similares. A otimização da interação GxA foi obtida com a cv. CMS 42 para mega-ambientes favoráveis e com a cv. CMS 43 para ambientes desfavoráveis. Os resultados das análises multivariadas corroboraram os resultados do método de Eberhart & Russell. A análise gráfica do método Additive Main effects and Multiplicative Interaction (AMMI) é simples e permite tirar conclusões sobre estabilidade, desempenho genotípico, divergência genética das cultivares, e sobre os ambientes que otimizam o desempenho das cultivares. A análise gráfica do método Genotype main effects and Genotype x Environment interaction (GGE) acrescentou informações de estratificação ambiental ao AMMI e definiu mega-ambientes e as cultivares que tiveram suas performances otimizadas nesses ambientes. Ambos os métodos são adequados para explicar a interação genótipo x ambiente. MenosThe objectives of this work were to evaluate the genotype x environment (GxE) interaction for popcorn and to compare two multivariate analyses methods. Nine popcorn cultivars were sown on four dates one month apart during each of the agricultural years 1998/1999 and 1999/2000. The experiments were carried out using randomized block designs, with four replicates. The cv. Zélia contributed the least to the GxE interaction. The cv. Viçosa performed similarly to cv. Rosa-claro. Optimization of GxE was obtained for cv. CMS 42 for a favorable mega-environment, and for cv. CMS 43 for an unfavorable environment. Multivariate analysis supported the results from the method of Eberhart & Russell. The graphic analysis of the Additive Main effects and Multiplicative Interaction (AMMI) model was simple, allowing conclusions to be made about stability, genotypic performance, genetic divergence between cultivars, and the environments that optimize cultivar performance. The graphic analysis of the Genotype main effects and Genotype x Environment interaction (GGE) method added to AMMI information on environmental stratification, defining mega-environments and the cultivars that optimized performance in those mega-environments. Both methods are adequate to explain the genotype x environment interactions. Os objetivos deste trabalho foram avaliar a interação genótipo x ambiente (GxA) em milho-pipoca e comparar dois métodos de análise multivariada (AMMI e GGE). Os tratamentos foram nove cultivar... Mostrar Tudo |
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Palavras-Chave: |
Adaptabilidade; adaptability; Análise multivariada; estabilidade; Interação genótipo ambiente; maize; Melhoramento genético; Milho-doce; milho-pipoca; selection; stability. |
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Thesagro: |
Milho; Milho Verde; Seleção; Zea Mays. |
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Thesaurus NAL: |
breeding; popcorn. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/32440/1/Multivariate-analyses.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/AI-SEDE-2009-09/45680/1/44n01a07.pdf
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Marc: |
LEADER 03758naa a2200397 a 4500
001 1491010
005 2018-05-30
008 2009 bl uuuu u00u1 u #d
024 7 $a10.1590/S0100-204X2009000100007$2DOI
100 1 $aMIRANDA, G. V.
245 $aMultivariate analyses of genotype x environment interaction of popcorn.
260 $c2009
520 $aThe objectives of this work were to evaluate the genotype x environment (GxE) interaction for popcorn and to compare two multivariate analyses methods. Nine popcorn cultivars were sown on four dates one month apart during each of the agricultural years 1998/1999 and 1999/2000. The experiments were carried out using randomized block designs, with four replicates. The cv. Zélia contributed the least to the GxE interaction. The cv. Viçosa performed similarly to cv. Rosa-claro. Optimization of GxE was obtained for cv. CMS 42 for a favorable mega-environment, and for cv. CMS 43 for an unfavorable environment. Multivariate analysis supported the results from the method of Eberhart & Russell. The graphic analysis of the Additive Main effects and Multiplicative Interaction (AMMI) model was simple, allowing conclusions to be made about stability, genotypic performance, genetic divergence between cultivars, and the environments that optimize cultivar performance. The graphic analysis of the Genotype main effects and Genotype x Environment interaction (GGE) method added to AMMI information on environmental stratification, defining mega-environments and the cultivars that optimized performance in those mega-environments. Both methods are adequate to explain the genotype x environment interactions. Os objetivos deste trabalho foram avaliar a interação genótipo x ambiente (GxA) em milho-pipoca e comparar dois métodos de análise multivariada (AMMI e GGE). Os tratamentos foram nove cultivares de milho-pipoca, plantadas em quatro épocas de semeadura em cada ano de cultivo em 1998/1999 e 1999/2000. O delineamento foi em blocos ao acaso, com quatro repetições. A cultivar Zélia foi a que menos contribuiu para a interação GxA. As cultivares Viçosa e Rosa-claro mostraram desempenhos similares. A otimização da interação GxA foi obtida com a cv. CMS 42 para mega-ambientes favoráveis e com a cv. CMS 43 para ambientes desfavoráveis. Os resultados das análises multivariadas corroboraram os resultados do método de Eberhart & Russell. A análise gráfica do método Additive Main effects and Multiplicative Interaction (AMMI) é simples e permite tirar conclusões sobre estabilidade, desempenho genotípico, divergência genética das cultivares, e sobre os ambientes que otimizam o desempenho das cultivares. A análise gráfica do método Genotype main effects and Genotype x Environment interaction (GGE) acrescentou informações de estratificação ambiental ao AMMI e definiu mega-ambientes e as cultivares que tiveram suas performances otimizadas nesses ambientes. Ambos os métodos são adequados para explicar a interação genótipo x ambiente.
650 $abreeding
650 $apopcorn
650 $aMilho
650 $aMilho Verde
650 $aSeleção
650 $aZea Mays
653 $aAdaptabilidade
653 $aadaptability
653 $aAnálise multivariada
653 $aestabilidade
653 $aInteração genótipo ambiente
653 $amaize
653 $aMelhoramento genético
653 $aMilho-doce
653 $amilho-pipoca
653 $aselection
653 $astability
700 1 $aSOUZA, L. V. de
700 1 $aGUIMARAES, L. J. M.
700 1 $aNAMORATO, H.
700 1 $aOLIVEIRA, L. R.
700 1 $aSOARES, M. O.
773 $tPesquisa Agropecuária Brasileira, Brasilia$gv. 44, n. 1, p. 45-50, 2009.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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