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| Registros recuperados : 108 | |
| 12. |  | COSTA, F. de S.; AMANCIO, M. C. A. de A.; MENDES, I. de C. Soil enzyme activity in conservation systems in the Southwestern Brazilian Amazon. In: ENCONTRO NACIONAL DE PLANTIO DIRETO NA PALHA, 18., ENCONTRO MUNDIAL DO SISTEMA PLANTIO DIRETO, 1., 2022, Foz do Iguaçu. Sistema plantio direto: preservando o solo, a vida e as gerações futuras: anais. Londrina: FEBRAPDP, 2022. p. 257. Editores: Rafael Silvaro; Marie Luise Carolina Bartz.| Biblioteca(s): Embrapa Acre. |
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| 13. | | LIMA, M. O.; DICK, D. P.; COSTA, F. de S.; COSTA, J. B. da; AUGUSTIN, R. Substâncias húmicas em argissolo da Amazônia sob floresta submetida à queima. In: ENCONTRO BRASILEIRO DE SUBSTÂNCIAS HÚMICAS, 11., 2015, São Carlos. Substâncias húmicas, ciência e tecnologia: anais. São Carlos: Instituto de Química de São Carlos, 2015. 4 p.| Biblioteca(s): Embrapa Acre. |
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| 17. | | QUEIROZ, L. R.; COSTA, F. de S.; MARINHO, J. T. de S.; OLIVEIRA, T. K. de. Diagnóstico do sistema de produção de milho no Estado do Acre. In: CONGRESSO NACIONAL DE MILHO E SORGO, 30.; SIMPÓSIO SOBRE LEPDÓPTEROS COMUNS A MILHO, SOJA E ALGODÃO, 1., 2014, Salvador. Eficiência nas cadeias produtivas e o abastecimento global: resumos expandidos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2014. 4 p.| Biblioteca(s): Embrapa Acre. |
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| 20. | | COSTA, F. de S.; AMARAL, E. F. do; MELO, C. S. de; MARTINS, D. A. 1º Inventário das emissões de gases de efeito estufa do município de Rio Branco, Acre: série 2012-2016. Rio Branco, AC: Embrapa Acre, 2019. 36 p. (Embrapa Acre. Documentos, 160). Selo ODS 11, Selo ODS 13, Selo ODS 17.| Biblioteca(s): Embrapa Acre. |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre; Embrapa Unidades Centrais. |
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Data corrente: |
02/12/2022 |
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Data da última atualização: |
02/12/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GOMES, E. G.; SOUZA, G. da S. e; FREITAS, A. C. R. de; COSTA, F. de S.; KLEPKER, D. |
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Afiliação: |
ELIANE GONCALVES GOMES, SUEST; GERALDO DA SILVA E SOUZA, UNIVERSIDADE DE BRASÍLIA; ANTONIO CARLOS REIS DE FREITAS, CPACP; FALBERNI DE SOUZA COSTA, CPAF-AC; DIRCEU KLEPKER, CPACP. |
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Título: |
Univariate and multivariate approaches to evaluate the carbon-based performance of an agricultural experimental design. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE PESQUISA OPERACIONAL, 54., 2022, Juiz de Fora, MG. Anais eletrônicos...Campinas: Galoá, 2022. |
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Páginas: |
1 p. |
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Idioma: |
Inglês |
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Conteúdo: |
In this paper, we contribute to the low-carbon agriculture subject by evaluating the carbon-based performance of an experimental design carried out on a farm in the Brazilian Savanna (Cerrado biome), in the state of Maranhão, Brazil. The experimental design comprised a total of 75 observations; three replications of five treatments (five production systems), repeated in five periods. We analyzed the data using univariate and multivariate approaches (ANOVA in the latter case) to explore the different characteristics of this experiment. We also defined a univariate measure of performance using data envelopment analysis models to aggregate the multidimensional response of the experimental design, given by the dynamics of soil carbono (carbon sequestration) and gas emissions (here, nitrous oxide and carbon dioxide). We found a statistically significant interaction between treatment and time, meaning that responses to treatment vary with time. The results also showed a statistical significant effect between carbon stocks in soils and management of the agricultural areas. The main national public policy aimed to face climate change, the Low-Carbon Agriculture Plus plan (ABC+ plan) recognizes that there are farmers with different performances. The challenge is to identify their degree of maturity in adopting agricultural practices based on the low-carbon agricultural technologies. The approach here proposed may contribute to this theme, as it allows the identification of the production strategy with the best performance. MenosIn this paper, we contribute to the low-carbon agriculture subject by evaluating the carbon-based performance of an experimental design carried out on a farm in the Brazilian Savanna (Cerrado biome), in the state of Maranhão, Brazil. The experimental design comprised a total of 75 observations; three replications of five treatments (five production systems), repeated in five periods. We analyzed the data using univariate and multivariate approaches (ANOVA in the latter case) to explore the different characteristics of this experiment. We also defined a univariate measure of performance using data envelopment analysis models to aggregate the multidimensional response of the experimental design, given by the dynamics of soil carbono (carbon sequestration) and gas emissions (here, nitrous oxide and carbon dioxide). We found a statistically significant interaction between treatment and time, meaning that responses to treatment vary with time. The results also showed a statistical significant effect between carbon stocks in soils and management of the agricultural areas. The main national public policy aimed to face climate change, the Low-Carbon Agriculture Plus plan (ABC+ plan) recognizes that there are farmers with different performances. The challenge is to identify their degree of maturity in adopting agricultural practices based on the low-carbon agricultural technologies. The approach here proposed may contribute to this theme, as it allows the identification of the produc... Mostrar Tudo |
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Palavras-Chave: |
Agricultura baja en carbono; Agricultura de Baixa Emissão de Carbono; Análise Multivariada; Análisis de multivarianza; Cambio climático; Diseño experimental; Low-carbon agriculture; Maranhão; Plano ABC+; Plano Agricultura Plus. |
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Thesagro: |
Cerrado; Fazenda Experimental; Método Estatístico; Mudança Climática. |
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Thesaurus NAL: |
Carbon; Climate change; Experimental design; Multivariate analysis. |
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Categoria do assunto: |
--
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1149174/1/galoa-proceedings-sbpo-2022-149352.pdf
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Marc: |
LEADER 02804nam a2200385 a 4500
001 2149174
005 2022-12-02
008 2022 bl uuuu u00u1 u #d
100 1 $aGOMES, E. G.
245 $aUnivariate and multivariate approaches to evaluate the carbon-based performance of an agricultural experimental design.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE PESQUISA OPERACIONAL, 54., 2022, Juiz de Fora, MG. Anais eletrônicos...Campinas: Galoá$c2022
300 $a1 p.
520 $aIn this paper, we contribute to the low-carbon agriculture subject by evaluating the carbon-based performance of an experimental design carried out on a farm in the Brazilian Savanna (Cerrado biome), in the state of Maranhão, Brazil. The experimental design comprised a total of 75 observations; three replications of five treatments (five production systems), repeated in five periods. We analyzed the data using univariate and multivariate approaches (ANOVA in the latter case) to explore the different characteristics of this experiment. We also defined a univariate measure of performance using data envelopment analysis models to aggregate the multidimensional response of the experimental design, given by the dynamics of soil carbono (carbon sequestration) and gas emissions (here, nitrous oxide and carbon dioxide). We found a statistically significant interaction between treatment and time, meaning that responses to treatment vary with time. The results also showed a statistical significant effect between carbon stocks in soils and management of the agricultural areas. The main national public policy aimed to face climate change, the Low-Carbon Agriculture Plus plan (ABC+ plan) recognizes that there are farmers with different performances. The challenge is to identify their degree of maturity in adopting agricultural practices based on the low-carbon agricultural technologies. The approach here proposed may contribute to this theme, as it allows the identification of the production strategy with the best performance.
650 $aCarbon
650 $aClimate change
650 $aExperimental design
650 $aMultivariate analysis
650 $aCerrado
650 $aFazenda Experimental
650 $aMétodo Estatístico
650 $aMudança Climática
653 $aAgricultura baja en carbono
653 $aAgricultura de Baixa Emissão de Carbono
653 $aAnálise Multivariada
653 $aAnálisis de multivarianza
653 $aCambio climático
653 $aDiseño experimental
653 $aLow-carbon agriculture
653 $aMaranhão
653 $aPlano ABC+
653 $aPlano Agricultura Plus
700 1 $aSOUZA, G. da S. e
700 1 $aFREITAS, A. C. R. de
700 1 $aCOSTA, F. de S.
700 1 $aKLEPKER, D.
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