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Registro Completo
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Biblioteca(s): |
Embrapa Cocais. |
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Data corrente: |
05/12/2022 |
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Data da última atualização: |
05/12/2022 |
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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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Thesaurus NAL: |
Carbon; Climate change; Experimental design; Multivariate analysis. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02286nam a2200217 a 4500
001 2149180
005 2022-12-05
008 2022 bl uuuu u01u1 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
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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