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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
03/06/2022 |
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Data da última atualização: |
03/06/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, L. A. P. da; BOLFE, E. L.; FERREIRA, M. E.; VELOSO, G. A.; LAURENTINO, C. M. de M.; SILVA, C. R. da. |
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Afiliação: |
LUCAS AUGUSTO PEREIRA DA SILVA, UFU; EDSON LUIS BOLFE, CNPTIA; MANUEL EDUARDO FERREIRA, UFG; GABRIEL ALVES VELOSO, UFPA; CARLA MILENA DE MOURA LAURENTINO, UNIMONTES; CLAUDIONOR RIBEIRO DA SILVA, UFU. |
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Título: |
Modelling the pastureland productivity in areas of savanna in northern Minas Gerais - Brazil. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Caminhos de Geografia, v. 23, n. 87, p. 124-134, jun. 2022. |
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DOI: |
https://doi.org/10.14393/RCG238759046 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT. Accurate information on the quality of pastures is essential for the Brazilian economy, as livestock is relevant to the country's Gross Domestic Product (GDP); in addition, well-managed pastures are a necessary step to mitigate the emission of greenhouse gases (GHG). In this work, the productivity of pastures in savanna areas in northern Minas Gerais (Brazil) was analyzed using remote sensing techniques. It was found that dry biomass varied according to climatic seasonality, on the monthly time scale, with the highest values in the rainy season (68.79%) and the lowest in the dry period (31.21%). To observe the importance of well-managed pastures for the studied region, a correlation of environmental parameters that assume the quality of these pasturelans was carried out. We observed a more significant correlation between Gross Primary Production (GPP)), Leaf Area Index/Photosynthetically Active Radiation Absorbed (IAF/RFAA) and altitude with the dry biomass capacity of the Animal Unit (UA / Hectare). We observed that the pastures in the study region do not have enough inputs to meet the needs of the animals, thinking about the intensification logic, mainly when comparing the annual average of AU/ha of this study with the Brazilian median, with a difference of 86.37 %. |
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Palavras-Chave: |
Animal Unit; Dry Matter; Modelagem de produtividade de pastagem; Produtividade de pastagem; Unidade animal. |
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Thesagro: |
Matéria Seca; Sensoriamento Remoto. |
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Thesaurus Nal: |
Pastures; Remote sensing. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1143709/1/AP-Modelling-pastureland-2022.pdf
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Marc: |
LEADER 02230naa a2200301 a 4500
001 2143709
005 2022-06-03
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.14393/RCG238759046$2DOI
100 1 $aSILVA, L. A. P. da
245 $aModelling the pastureland productivity in areas of savanna in northern Minas Gerais - Brazil.$h[electronic resource]
260 $c2022
520 $aABSTRACT. Accurate information on the quality of pastures is essential for the Brazilian economy, as livestock is relevant to the country's Gross Domestic Product (GDP); in addition, well-managed pastures are a necessary step to mitigate the emission of greenhouse gases (GHG). In this work, the productivity of pastures in savanna areas in northern Minas Gerais (Brazil) was analyzed using remote sensing techniques. It was found that dry biomass varied according to climatic seasonality, on the monthly time scale, with the highest values in the rainy season (68.79%) and the lowest in the dry period (31.21%). To observe the importance of well-managed pastures for the studied region, a correlation of environmental parameters that assume the quality of these pasturelans was carried out. We observed a more significant correlation between Gross Primary Production (GPP)), Leaf Area Index/Photosynthetically Active Radiation Absorbed (IAF/RFAA) and altitude with the dry biomass capacity of the Animal Unit (UA / Hectare). We observed that the pastures in the study region do not have enough inputs to meet the needs of the animals, thinking about the intensification logic, mainly when comparing the annual average of AU/ha of this study with the Brazilian median, with a difference of 86.37 %.
650 $aPastures
650 $aRemote sensing
650 $aMatéria Seca
650 $aSensoriamento Remoto
653 $aAnimal Unit
653 $aDry Matter
653 $aModelagem de produtividade de pastagem
653 $aProdutividade de pastagem
653 $aUnidade animal
700 1 $aBOLFE, E. L.
700 1 $aFERREIRA, M. E.
700 1 $aVELOSO, G. A.
700 1 $aLAURENTINO, C. M. de M.
700 1 $aSILVA, C. R. da
773 $tCaminhos de Geografia$gv. 23, n. 87, p. 124-134, jun. 2022.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
08/05/2014 |
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Data da última atualização: |
08/05/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
C - 0 |
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Autoria: |
BRAGA, G. J.; MACIEL, G. A.; RAMOS, A. K. B.; CARVALHO, M. A.; FERNANDES, F. D.; JANK, L. |
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Afiliação: |
GUSTAVO JOSE BRAGA, CPAC; GIOVANA ALCANTARA MACIEL, CPAC; ALLAN KARDEC BRAGA RAMOS, CPAC; MARCELO AYRES CARVALHO, CPAC; FRANCISCO DUARTE FERNANDES, CPAC; LIANA JANK, CNPGC. |
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Título: |
Dry matter yield of promising Panicum maximum genotypes in response to phosphorus and lime on Braazilian savanna. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Tropical Grasslands - Forrajes Tropicales, v. 2, p. 18-20, 2014. |
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Idioma: |
Português |
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Palavras-Chave: |
Fertilização. |
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Thesagro: |
Cerrado; Pastagem. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00615naa a2200205 a 4500
001 1985765
005 2014-05-08
008 2014 bl --- 0-- u #d
100 1 $aBRAGA, G. J.
245 $aDry matter yield of promising Panicum maximum genotypes in response to phosphorus and lime on Braazilian savanna.
260 $c2014
650 $aCerrado
650 $aPastagem
653 $aFertilização
700 1 $aMACIEL, G. A.
700 1 $aRAMOS, A. K. B.
700 1 $aCARVALHO, M. A.
700 1 $aFERNANDES, F. D.
700 1 $aJANK, L.
773 $tTropical Grasslands - Forrajes Tropicales$gv. 2, p. 18-20, 2014.
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Registro original: |
Embrapa Cerrados (CPAC) |
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