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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
30/12/2019 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ANDRADE, R. G.; HOTT, M. C.; MAGALHAES JUNIOR, W. C. P. de. |
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Afiliação: |
RICARDO GUIMARAES ANDRADE, CNPGL; MARCOS CICARINI HOTT, CNPGL; WALTER COELHO P DE MAGALHAES JUNIOR, CNPGL. |
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Título: |
Estimation of energy flux and biomass in pasture areas through remote sensing techniques. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
International Journal of Advanced Engineering Research and Science, v. 6, n. 4, p. 59-65, 2019. |
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DOI: |
https://dx.doi.org/10.22161/ijaers.6.4.6 |
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Idioma: |
Inglês |
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Conteúdo: |
Pasture production is estimated through remote sensing techniques with the aid of models and algorithms. The application with no need for extensive field measurements is one of the advantages of the Surface Energy Balance Algorithm for Land (SEBAL). The objective of this work was to estimate energy fluxes and, subsequently, pasture biomass with the aid of remote sensing techniques. The study area is located on the Experimental Farm of Embrapa Beef Cattle, municipality of Campo Grande, State of Mato Grosso do Sul, Brazil. For the implementation of the SEBAL and estimation of energy fluxes and biomass of the pasture areas, meteorological data and Landsat 5 - TM image were used. It was found that the technique has the potential to be applied to indicate the forage availability and to support decision-making in the planning and management of the extensive production of beef and milk cattle, with economic and environmental sustainability of pasture areas. |
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Palavras-Chave: |
Geotechnology; SEBAL. |
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Thesaurus Nal: |
Environmental sustainability; Livestock; Rural planning. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/207931/1/IJAERS-RicardoG-Estimation.pdf
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Marc: |
LEADER 01686naa a2200217 a 4500
001 2117869
005 2024-02-06
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://dx.doi.org/10.22161/ijaers.6.4.6$2DOI
100 1 $aANDRADE, R. G.
245 $aEstimation of energy flux and biomass in pasture areas through remote sensing techniques.$h[electronic resource]
260 $c2019
520 $aPasture production is estimated through remote sensing techniques with the aid of models and algorithms. The application with no need for extensive field measurements is one of the advantages of the Surface Energy Balance Algorithm for Land (SEBAL). The objective of this work was to estimate energy fluxes and, subsequently, pasture biomass with the aid of remote sensing techniques. The study area is located on the Experimental Farm of Embrapa Beef Cattle, municipality of Campo Grande, State of Mato Grosso do Sul, Brazil. For the implementation of the SEBAL and estimation of energy fluxes and biomass of the pasture areas, meteorological data and Landsat 5 - TM image were used. It was found that the technique has the potential to be applied to indicate the forage availability and to support decision-making in the planning and management of the extensive production of beef and milk cattle, with economic and environmental sustainability of pasture areas.
650 $aEnvironmental sustainability
650 $aLivestock
650 $aRural planning
653 $aGeotechnology
653 $aSEBAL
700 1 $aHOTT, M. C.
700 1 $aMAGALHAES JUNIOR, W. C. P. de
773 $tInternational Journal of Advanced Engineering Research and Science$gv. 6, n. 4, p. 59-65, 2019.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Acre; Embrapa Amazônia Oriental. |
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Data corrente: |
11/08/2020 |
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Data da última atualização: |
05/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
PANTOJA, K. F. C.; BOARI, A. de J.; MARCHI, B. R. De; REZENDE, J. A. M.; KITAJIMA, E. W.; GONCALVES, R. C.; ASSIS, G. M. L. de; BLAWID, R.; KRAUSE-SAKATE, R. |
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Afiliação: |
Késsia Fátima Cunha Pantoja, UNESP; ALESSANDRA DE JESUS BOARI, CPATU; Bruno Rossitto De Marchi, University of Florida; Jorge Alberto Marques Rezende, ESALQ-USP; Elliot Watanabe Kitajima, ESALQ-USP; RIVADALVE COELHO GONCALVES, CPAF-AC; GISELLE MARIANO LESSA DE ASSIS, CPAF-AC; Rosana Blawid, Universidade Federal Rural de Pernambuco; Renate Krause-Sakate, UNESP. |
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Título: |
Arachis virus Y, a new potyvirid from Brazilian forage peanut (Arachis pintoi). |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Archives of Virology, v. 165, n. 10, p. 2349-2353, Oct. 2020. |
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DOI: |
https://doi.org/10.1007/s00705-020-04742-z |
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Idioma: |
Inglês |
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Conteúdo: |
The complete nucleotide sequence of a new member of the family Potyviridae, which we propose to name ?Arachis virus Y? (ArVY), is reported from forage peanut plants (Arachis pintoi) exhibiting virus-like symptoms. The ArVY positive-sense RNA genome is 9,213 nucleotides long and encodes a polyprotein with 2,947 amino acids that is predicted to be cleaved into 10 mature proteins. The complete single open reading frame (ORF) of ArVY shares 47% and 34% nucleotide and amino acid sequence identity, respectively, with the closest related virus, soybean yellow shoot virus. Electron microscopic analysis revealed elongated viral particles typical of those found in plant cells infected with potyviruses |
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Palavras-Chave: |
Amendoim forrageiro; Arachis virus Y; Cacahuetes forrajeros; Forage peanut; Leguminosas forrajeras; Virus de las plantas. |
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Thesagro: |
Doença de Planta; Leguminosa Forrageira. |
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Thesaurus NAL: |
Arachis pintoi; Forage legumes; Peanuts; Plant viruses; Potyviridae. |
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Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 01843naa a2200385 a 4500
001 2124273
005 2020-11-05
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s00705-020-04742-z$2DOI
100 1 $aPANTOJA, K. F. C.
245 $aArachis virus Y, a new potyvirid from Brazilian forage peanut (Arachis pintoi).$h[electronic resource]
260 $c2020
520 $aThe complete nucleotide sequence of a new member of the family Potyviridae, which we propose to name ?Arachis virus Y? (ArVY), is reported from forage peanut plants (Arachis pintoi) exhibiting virus-like symptoms. The ArVY positive-sense RNA genome is 9,213 nucleotides long and encodes a polyprotein with 2,947 amino acids that is predicted to be cleaved into 10 mature proteins. The complete single open reading frame (ORF) of ArVY shares 47% and 34% nucleotide and amino acid sequence identity, respectively, with the closest related virus, soybean yellow shoot virus. Electron microscopic analysis revealed elongated viral particles typical of those found in plant cells infected with potyviruses
650 $aArachis pintoi
650 $aForage legumes
650 $aPeanuts
650 $aPlant viruses
650 $aPotyviridae
650 $aDoença de Planta
650 $aLeguminosa Forrageira
653 $aAmendoim forrageiro
653 $aArachis virus Y
653 $aCacahuetes forrajeros
653 $aForage peanut
653 $aLeguminosas forrajeras
653 $aVirus de las plantas
700 1 $aBOARI, A. de J.
700 1 $aMARCHI, B. R. De
700 1 $aREZENDE, J. A. M.
700 1 $aKITAJIMA, E. W.
700 1 $aGONCALVES, R. C.
700 1 $aASSIS, G. M. L. de
700 1 $aBLAWID, R.
700 1 $aKRAUSE-SAKATE, R.
773 $tArchives of Virology$gv. 165, n. 10, p. 2349-2353, Oct. 2020.
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