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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
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Data corrente: |
06/04/1993 |
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Data da última atualização: |
06/04/1993 |
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Autoria: |
SOUZA, A. C. G. de. |
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Título: |
Teores de oleo, solidos soluveis, cafeina e qualidade da bebida de cafe de progenies resistentes a hemileia vastatrix. |
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Ano de publicação: |
1980 |
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Fonte/Imprenta: |
Vicosa: UFV, 1980. |
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Páginas: |
57p. |
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Idioma: |
Português |
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Notas: |
Tese Mestrado. |
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Conteúdo: |
Realizaram-se pesquisas com o objetivo de conhecer os teores de oleo, solidos soluveis, cafeina e qualidade de bebida de progenies portadoras de fatores de resistencia a ferrugem do cafeeiro (H.vastarix), desenvolvidas pela Universidade Federal de Vicosa (UFV) e Empresa de Pesquisa Agropecuaria de Minas Gerais (EPAMIG), visando a substituicao dos cultivares susceptiveis portadores de resistencia. Utilizou-se amostras torradas de 5 progenies ('Hibrido de Timor', 'Catimor', 'Cavimor', 'Catindu' e 'Catiafa') portadoras de fatores de resistencia, e 4 variedades comerciais ('Mundo Novo', 'Catuai', 'Uganda' e 'Conilon'), todas provenientes de uma mesma regiao produtora. Com base nos resultados encontrados, e de se esperar que as novas progenies desenvovidas sejam perfeitamente aceitas, no caso de substituir e, parte ou totalmente, as variedades atualmente cultivadas, pois suas caracteristicas quimicas e organolepticas sao praticamente identicas as variedades arabicas, tradicionalmente cultivadas. |
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Palavras-Chave: |
Bebidas; Solidos soluveis; Teores de oleo. |
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Thesagro: |
Café; Cafeína; Qualidade. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01561nam a2200205 a 4500
001 1411020
005 1993-04-06
008 1980 bl uuuu m 00u1 u #d
100 1 $aSOUZA, A. C. G. de
245 $aTeores de oleo, solidos soluveis, cafeina e qualidade da bebida de cafe de progenies resistentes a hemileia vastatrix.
260 $aVicosa: UFV$c1980
300 $a57p.
500 $aTese Mestrado.
520 $aRealizaram-se pesquisas com o objetivo de conhecer os teores de oleo, solidos soluveis, cafeina e qualidade de bebida de progenies portadoras de fatores de resistencia a ferrugem do cafeeiro (H.vastarix), desenvolvidas pela Universidade Federal de Vicosa (UFV) e Empresa de Pesquisa Agropecuaria de Minas Gerais (EPAMIG), visando a substituicao dos cultivares susceptiveis portadores de resistencia. Utilizou-se amostras torradas de 5 progenies ('Hibrido de Timor', 'Catimor', 'Cavimor', 'Catindu' e 'Catiafa') portadoras de fatores de resistencia, e 4 variedades comerciais ('Mundo Novo', 'Catuai', 'Uganda' e 'Conilon'), todas provenientes de uma mesma regiao produtora. Com base nos resultados encontrados, e de se esperar que as novas progenies desenvovidas sejam perfeitamente aceitas, no caso de substituir e, parte ou totalmente, as variedades atualmente cultivadas, pois suas caracteristicas quimicas e organolepticas sao praticamente identicas as variedades arabicas, tradicionalmente cultivadas.
650 $aCafé
650 $aCafeína
650 $aQualidade
653 $aBebidas
653 $aSolidos soluveis
653 $aTeores de oleo
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Registro original: |
Embrapa Agroindústria de Alimentos (CTAA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Acre. Para informações adicionais entre em contato com cpafac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
30/08/2021 |
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Data da última atualização: |
19/11/2021 |
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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: |
OLIVEIRA, M. V. N. d'; FIGUEIREDO, E. O.; ALMEIDA, D. R. A. de; OLIVEIRA, L. C. de; SILVA, C. A.; NELSON, B. W.; CUNHA, R. M. da; PAPA, D. de A.; STARK, S. C.; VALBUENA, R. |
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Afiliação: |
MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; EVANDRO ORFANO FIGUEIREDO, CPAF-AC; DANILO ROBERTI ALVES DE ALMEIDA, "Luiz de Queiroz" College of Agriculture, University of São Paulo (USP/ESALQ); LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; CARLOS ALBERTO SILVA, University of Florida, Gainesville, USA; BRUCE WALKER NELSON, National Institute for Amazon Research (INPA); RENATO MESQUITA DA CUNHA, Instituto de Meio ambiente do Acre; DANIEL DE ALMEIDA PAPA, CPAF-AC; SCOTT C. STARK, Michigan State University, East Lansing, MI, USA; RUBEN VALBUENA, Bangor University, Bangor, UK. |
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Título: |
Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 500, 119648, Nov. 2021. |
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ISSN: |
0378-1127 |
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DOI: |
https://doi.org/10.1016/j.foreco.2021.119648 |
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Idioma: |
Inglês |
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Conteúdo: |
Sustainable forest management relies on good knowledge of forest structure obtained from ground surveys combined with remote sensing. Capable of detecting both the forest floor and canopy elements, airborne LiDAR can estimate forest structure parameters with accuracy and precision, but is still difficult to acquire due to the lake of service provider in remote regions of developing countries. Alternatively if ground surface elevations are known (e.g., from LiDAR), they can be tied to a canopy surface model derived from stereo photogrammetry using RGB images from unmanned aerial vehicles (UAV). Here we assessed whether such photogrammetric canopy measurements offer aboveground biomass (AGB) and disturbance impact estimates from logging that are comparable to LiDAR, and whether the use of both in sequence can provide an efficient post-harvest monitoring system. Specifically, through a combination of forest inventory ground plots, airborne LiDAR data, and a UAV-RGB camera system we (i) automatically located and measured canopy disturbance caused by logging, (ii) compared AGB models produced by LiDAR alone and the combination of LiDAR (for terrain elevation model) and RGB-photogrammetry (for forest surface model), and (iii) estimated the AGB stock loss from logging. The study was carried out in the Antimary State forest located in the southwestern Brazilian Amazon. Our results demonstrate that the use of RGB-photogrammetry in regions where the terrain elevation has already been estimated can be an effective way to rapidly identify selective logging and to accurately monitor its impact. MenosSustainable forest management relies on good knowledge of forest structure obtained from ground surveys combined with remote sensing. Capable of detecting both the forest floor and canopy elements, airborne LiDAR can estimate forest structure parameters with accuracy and precision, but is still difficult to acquire due to the lake of service provider in remote regions of developing countries. Alternatively if ground surface elevations are known (e.g., from LiDAR), they can be tied to a canopy surface model derived from stereo photogrammetry using RGB images from unmanned aerial vehicles (UAV). Here we assessed whether such photogrammetric canopy measurements offer aboveground biomass (AGB) and disturbance impact estimates from logging that are comparable to LiDAR, and whether the use of both in sequence can provide an efficient post-harvest monitoring system. Specifically, through a combination of forest inventory ground plots, airborne LiDAR data, and a UAV-RGB camera system we (i) automatically located and measured canopy disturbance caused by logging, (ii) compared AGB models produced by LiDAR alone and the combination of LiDAR (for terrain elevation model) and RGB-photogrammetry (for forest surface model), and (iii) estimated the AGB stock loss from logging. The study was carried out in the Antimary State forest located in the southwestern Brazilian Amazon. Our results demonstrate that the use of RGB-photogrammetry in regions where the terrain elevation has already been ... Mostrar Tudo |
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Palavras-Chave: |
Acre; Aeronave remotamente pilotada; Amazonia Occidental; Amazônia Ocidental; Biomasa aérea; Cubierta forestal; Dossel; Drone; Explotación forestal; FLoresta Estadual do Antimary (AC); RGB images; Sena Madureira (AC); Silvicultura sustentable; Vehículos aéreos no tripulados; Western Amazon. |
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Thesagro: |
Aerofotogrametria; Biomassa; Exploração Florestal; Extração da Madeira; Impacto Ambiental. |
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Thesaurus NAL: |
Aboveground biomass; Environmental impact; Forest canopy; Lidar; Logging; Photogrammetry; Sustainable forestry; Unmanned aerial vehicles. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 03372naa a2200589 a 4500
001 2133927
005 2021-11-19
008 2021 bl uuuu u00u1 u #d
022 $a0378-1127
024 7 $ahttps://doi.org/10.1016/j.foreco.2021.119648$2DOI
100 1 $aOLIVEIRA, M. V. N. d'
245 $aImpacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence.$h[electronic resource]
260 $c2021
520 $aSustainable forest management relies on good knowledge of forest structure obtained from ground surveys combined with remote sensing. Capable of detecting both the forest floor and canopy elements, airborne LiDAR can estimate forest structure parameters with accuracy and precision, but is still difficult to acquire due to the lake of service provider in remote regions of developing countries. Alternatively if ground surface elevations are known (e.g., from LiDAR), they can be tied to a canopy surface model derived from stereo photogrammetry using RGB images from unmanned aerial vehicles (UAV). Here we assessed whether such photogrammetric canopy measurements offer aboveground biomass (AGB) and disturbance impact estimates from logging that are comparable to LiDAR, and whether the use of both in sequence can provide an efficient post-harvest monitoring system. Specifically, through a combination of forest inventory ground plots, airborne LiDAR data, and a UAV-RGB camera system we (i) automatically located and measured canopy disturbance caused by logging, (ii) compared AGB models produced by LiDAR alone and the combination of LiDAR (for terrain elevation model) and RGB-photogrammetry (for forest surface model), and (iii) estimated the AGB stock loss from logging. The study was carried out in the Antimary State forest located in the southwestern Brazilian Amazon. Our results demonstrate that the use of RGB-photogrammetry in regions where the terrain elevation has already been estimated can be an effective way to rapidly identify selective logging and to accurately monitor its impact.
650 $aAboveground biomass
650 $aEnvironmental impact
650 $aForest canopy
650 $aLidar
650 $aLogging
650 $aPhotogrammetry
650 $aSustainable forestry
650 $aUnmanned aerial vehicles
650 $aAerofotogrametria
650 $aBiomassa
650 $aExploração Florestal
650 $aExtração da Madeira
650 $aImpacto Ambiental
653 $aAcre
653 $aAeronave remotamente pilotada
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aBiomasa aérea
653 $aCubierta forestal
653 $aDossel
653 $aDrone
653 $aExplotación forestal
653 $aFLoresta Estadual do Antimary (AC)
653 $aRGB images
653 $aSena Madureira (AC)
653 $aSilvicultura sustentable
653 $aVehículos aéreos no tripulados
653 $aWestern Amazon
700 1 $aFIGUEIREDO, E. O.
700 1 $aALMEIDA, D. R. A. de
700 1 $aOLIVEIRA, L. C. de
700 1 $aSILVA, C. A.
700 1 $aNELSON, B. W.
700 1 $aCUNHA, R. M. da
700 1 $aPAPA, D. de A.
700 1 $aSTARK, S. C.
700 1 $aVALBUENA, R.
773 $tForest Ecology and Management$gv. 500, 119648, Nov. 2021.
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