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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
20/12/2022 |
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Data da última atualização: |
03/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ABREU, U. G. P. de; SANTOS, M. C. dos; ZEN, S. de. |
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Afiliação: |
URBANO GOMES PINTO DE ABREU, CPAP; MARIANE CRESPOLINI DOS SANTOS, Ministério da Agricultura, Pecuária e Abastecimento; SÉRGIO DE ZEN, Universidade de São Paulo. |
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Título: |
Bioeconomics considerations on the modal production system of beef cattle in Pantanal. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Brazilian Journal of Development, Curitiba, v. 8, n. 4, p. 28715-28727, apr., 2022. |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT: Beef cattle production is one of the main agricultural activities in Brazil accounting for approximately 75% of agricultural properties in the country and significantly impacting gross domestic product (GDP) figures. However, raising beef cattle is a complex activity, with great variability in the combination of production factors. In this study, we assessed scale gains in beef cattle and performed a temporal analysis of the modal system in the Pantanal biome, central-west Brazil. Beef cattle production systems were analyzed for Corumbá, state of Mato Grosso do Sul. Typical farms of 3,600 hectares (ha), 9,000 ha, 14,400 ha, and 30,000 ha were determined from primary data from focus group surveys conducted by CEPEA. Results showed that the smallest property was the most efficient in using natural resources and had the highest economic return relative to the effective operational cost (EOC), followed by the largest property. Profitability increased significantly over the years due to record calf prices in 2014 and increased production. Intermediate-sized properties had the worst economic results and negative net margin even when the producer?s pro-labore is not considered. RESUMO: Este trabalho teve como objetivo avaliar os ganhos de escala na pecuária de corte no bioma Pantanal. Para isso, foram analisados os sistemas modais de produção de gado de corte em Corumbá/MS, município que possui o segundo maior rebanho no Brasil. As propriedades típicas foram determinadas nos levantamentos de dados primários de painel, também denominados grupos focais, realizados pelo Cepea em parceria com a CNA, no ano de 2014, com 3.600 hectares, 9.000 hectares, 14.400 hectares e 30.000 hectares. A propriedade menor foi a que apresentou a maior eficiência no uso dos recursos naturais, assim como maior retorno econômico por real investido em relação ao Custo operacional Efetivo, seguida pela propriedade maior. Foi observado que o grande gargalo são as propriedades de tamanho intermediário, que apresentaram os piores resultados econômicos, com margem líquida negativa mesmo desconsiderando o pró-labore do produtor. MenosABSTRACT: Beef cattle production is one of the main agricultural activities in Brazil accounting for approximately 75% of agricultural properties in the country and significantly impacting gross domestic product (GDP) figures. However, raising beef cattle is a complex activity, with great variability in the combination of production factors. In this study, we assessed scale gains in beef cattle and performed a temporal analysis of the modal system in the Pantanal biome, central-west Brazil. Beef cattle production systems were analyzed for Corumbá, state of Mato Grosso do Sul. Typical farms of 3,600 hectares (ha), 9,000 ha, 14,400 ha, and 30,000 ha were determined from primary data from focus group surveys conducted by CEPEA. Results showed that the smallest property was the most efficient in using natural resources and had the highest economic return relative to the effective operational cost (EOC), followed by the largest property. Profitability increased significantly over the years due to record calf prices in 2014 and increased production. Intermediate-sized properties had the worst economic results and negative net margin even when the producer?s pro-labore is not considered. RESUMO: Este trabalho teve como objetivo avaliar os ganhos de escala na pecuária de corte no bioma Pantanal. Para isso, foram analisados os sistemas modais de produção de gado de corte em Corumbá/MS, município que possui o segundo maior rebanho no Brasil. As propriedades típicas foram determinadas ... Mostrar Tudo |
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Thesagro: |
Agronegócio; Custo de Produção; Sistema de Produção. |
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Thesaurus Nal: |
Agribusiness; Integrated agricultural systems; Production costs. |
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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/1150059/1/Bioeconomics-considerations-on-the-modal-production-system-2022.pdf
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Marc: |
LEADER 02849naa a2200217 a 4500
001 2150059
005 2023-01-03
008 2022 bl uuuu u00u1 u #d
100 1 $aABREU, U. G. P. de
245 $aBioeconomics considerations on the modal production system of beef cattle in Pantanal.$h[electronic resource]
260 $c2022
520 $aABSTRACT: Beef cattle production is one of the main agricultural activities in Brazil accounting for approximately 75% of agricultural properties in the country and significantly impacting gross domestic product (GDP) figures. However, raising beef cattle is a complex activity, with great variability in the combination of production factors. In this study, we assessed scale gains in beef cattle and performed a temporal analysis of the modal system in the Pantanal biome, central-west Brazil. Beef cattle production systems were analyzed for Corumbá, state of Mato Grosso do Sul. Typical farms of 3,600 hectares (ha), 9,000 ha, 14,400 ha, and 30,000 ha were determined from primary data from focus group surveys conducted by CEPEA. Results showed that the smallest property was the most efficient in using natural resources and had the highest economic return relative to the effective operational cost (EOC), followed by the largest property. Profitability increased significantly over the years due to record calf prices in 2014 and increased production. Intermediate-sized properties had the worst economic results and negative net margin even when the producer?s pro-labore is not considered. RESUMO: Este trabalho teve como objetivo avaliar os ganhos de escala na pecuária de corte no bioma Pantanal. Para isso, foram analisados os sistemas modais de produção de gado de corte em Corumbá/MS, município que possui o segundo maior rebanho no Brasil. As propriedades típicas foram determinadas nos levantamentos de dados primários de painel, também denominados grupos focais, realizados pelo Cepea em parceria com a CNA, no ano de 2014, com 3.600 hectares, 9.000 hectares, 14.400 hectares e 30.000 hectares. A propriedade menor foi a que apresentou a maior eficiência no uso dos recursos naturais, assim como maior retorno econômico por real investido em relação ao Custo operacional Efetivo, seguida pela propriedade maior. Foi observado que o grande gargalo são as propriedades de tamanho intermediário, que apresentaram os piores resultados econômicos, com margem líquida negativa mesmo desconsiderando o pró-labore do produtor.
650 $aAgribusiness
650 $aIntegrated agricultural systems
650 $aProduction costs
650 $aAgronegócio
650 $aCusto de Produção
650 $aSistema de Produção
700 1 $aSANTOS, M. C. dos
700 1 $aZEN, S. de
773 $tBrazilian Journal of Development, Curitiba$gv. 8, n. 4, p. 28715-28727, apr., 2022.
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Registro original: |
Embrapa Pantanal (CPAP) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
29/12/2022 |
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Data da última atualização: |
23/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MATERÓN, E. M.; GÓMEZ, F. R.; ALMEIDA, M. B.; SHIMIZU, F. M.; WONG, A.; TEODORO, K. B. R.; SILVA, F. S. R.; LIMA, M. J. A.; ANGELIM, M. K. S. C.; MELENDEZ, M. E.; PORRAS, N.; VIEIRA, P. M.; CORREA, D. S.; CARRILHO, E.; OLIVEIRA, Jr., O. N.; AZEVEDO, R. B.; GONÇALVES, D. |
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Afiliação: |
DANIEL SOUZA CORREA, CNPDIA. |
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Título: |
Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
ACS Applied Materials & Interfaces, v. 14, 2022 |
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Páginas: |
54527–54538 |
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DOI: |
https://doi.org/10.1021/acsami.2c15407 |
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Idioma: |
Inglês |
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Conteúdo: |
Low-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (fAuNPs). Intense color changes were noted with the naked eye owing to plasmon coupling when f-AuNPs form clusters on the virus, with high sensitivity and a detection limit of 0.28 PFU mL−1 (PFU stands for plaque-forming units) in human saliva. Plasmon coupling was corroborated with computer simulations using the finite-difference time-domain (FDTD) method. The strategies based on preparing plasmonic biosensors with f-AuNPs are robust to permit SARS-CoV-2 detection via dynamic light scattering and UV−vis spectroscopy without interference from other viruses, such as influenza and dengue viruses. The diagnosis was made with a smartphone app after processing the images collected from the smartphone camera, measuring the concentration of SARS-CoV-2.Both image processing and machine learning algorithms were found to provide COVID-19 diagnosis with 100% accuracy for saliva samples. In subsidiary experiments, we observed that the biosensor could be used to detect the virus in river waters without pretreatment. With fast responses and requiring small sample amounts (only 20 μL), these colorimetric tests can be deployed in any location within the point-of-care diagnosis paradigm for epidemiological control. |
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Palavras-Chave: |
Gold nanoparticles; Localized surface plasmon resonance; Machine learning; Plasmonic coupling; Point-of-care; Portable sensor; SARS-CoV-2. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02613naa a2200421 a 4500
001 2150489
005 2024-01-23
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1021/acsami.2c15407$2DOI
100 1 $aMATERÓN, E. M.
245 $aColorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones$h[electronic resource]
260 $c2022
300 $a54527–54538
520 $aLow-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (fAuNPs). Intense color changes were noted with the naked eye owing to plasmon coupling when f-AuNPs form clusters on the virus, with high sensitivity and a detection limit of 0.28 PFU mL−1 (PFU stands for plaque-forming units) in human saliva. Plasmon coupling was corroborated with computer simulations using the finite-difference time-domain (FDTD) method. The strategies based on preparing plasmonic biosensors with f-AuNPs are robust to permit SARS-CoV-2 detection via dynamic light scattering and UV−vis spectroscopy without interference from other viruses, such as influenza and dengue viruses. The diagnosis was made with a smartphone app after processing the images collected from the smartphone camera, measuring the concentration of SARS-CoV-2.Both image processing and machine learning algorithms were found to provide COVID-19 diagnosis with 100% accuracy for saliva samples. In subsidiary experiments, we observed that the biosensor could be used to detect the virus in river waters without pretreatment. With fast responses and requiring small sample amounts (only 20 μL), these colorimetric tests can be deployed in any location within the point-of-care diagnosis paradigm for epidemiological control.
653 $aGold nanoparticles
653 $aLocalized surface plasmon resonance
653 $aMachine learning
653 $aPlasmonic coupling
653 $aPoint-of-care
653 $aPortable sensor
653 $aSARS-CoV-2
700 1 $aGÓMEZ, F. R.
700 1 $aALMEIDA, M. B.
700 1 $aSHIMIZU, F. M.
700 1 $aWONG, A.
700 1 $aTEODORO, K. B. R.
700 1 $aSILVA, F. S. R.
700 1 $aLIMA, M. J. A.
700 1 $aANGELIM, M. K. S. C.
700 1 $aMELENDEZ, M. E.
700 1 $aPORRAS, N.
700 1 $aVIEIRA, P. M.
700 1 $aCORREA, D. S.
700 1 $aCARRILHO, E.
700 1 $aOLIVEIRA, Jr., O. N.
700 1 $aAZEVEDO, R. B.
700 1 $aGONÇALVES, D.
773 $tACS Applied Materials & Interfaces$gv. 14, 2022
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Embrapa Instrumentação (CNPDIA) |
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