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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
20/10/2005 |
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Data da última atualização: |
06/03/2023 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
SILVEIRA, J. M.; MESQUITA, C. de M.; PORTUGAL, F. A. F. |
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Afiliação: |
JOSE MIGUEL SILVEIRA, CNPSO; CÉZAR DE MELLO MESQUITA, CNPSO; FERNANDO ANTONIO FONSECA PORTUGAL, CNPSO. |
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Título: |
Colheita de girassol. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
In: LEITE, R. M. V. B. de C.; BRIGHENTI, A. M.; CASTRO, C. de (ed.). Girassol no Brasil. Londrina: Embrapa Soja, 2005. cap. 19. |
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Páginas: |
p. 571-605. |
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Idioma: |
Português |
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Conteúdo: |
Época da colheita de girassol; Antecipação da colheita; Atraso na colheita; Organização da colheita; Métodos de colheita de girassol; Colheita manual; Colheita mecanizada de girassol; Sistemas componentes padrões de colhedoras autopropelidas; Sistemas de alimentação, corte e recolhimento; Plataforma "girassoleira"; Molinete; Bandejas; Barra de corte; Condutor helicoidal (caracol); Destroncador; Plataforma convencional de cereais adaptada; Plataforma convencional de milho adaptada; Sistemas de trilha, separação e limpeza; Mecanismos de trilha; Mecanismos de separação; Mecanismos de limpeza; Fatores que afetam a eficiência da colheita mecânica de girassol; Desuniformidade da lavoura; Desprendimento dos grãos; Peso de 1000 grãos; Época de semeadura; Espaçamento entre linhas de semeadura; Densidade de plantas; Plantas daninhas; Restos vegetais; Acamamento e quebra de plantas; Pássaros; Chuva; Ventos; Umidade no caule e no capítulo; Colheita de girassol. Velocidade e capacidade de trabalho do equipamento; Perda de grãos na colheita mecanizada de girassol; Colheita; capítulos não coletados; Sistemas de alimentação; Mecanismos internos; Avaliação das perdas em diferentes tipos de plataformas de alimentação; Plataforma "girassoleira"; Plataforma convencional de milho adaptada. |
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Palavras-Chave: |
Sunflower. |
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Thesagro: |
Colheita; Girassol. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/468461/1/Capitulo-19.pdf
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Marc: |
LEADER 01890naa a2200193 a 4500
001 1468461
005 2023-03-06
008 2005 bl uuuu u00u1 u #d
100 1 $aSILVEIRA, J. M.
245 $aColheita de girassol.$h[electronic resource]
260 $c2005
300 $ap. 571-605.
520 $aÉpoca da colheita de girassol; Antecipação da colheita; Atraso na colheita; Organização da colheita; Métodos de colheita de girassol; Colheita manual; Colheita mecanizada de girassol; Sistemas componentes padrões de colhedoras autopropelidas; Sistemas de alimentação, corte e recolhimento; Plataforma "girassoleira"; Molinete; Bandejas; Barra de corte; Condutor helicoidal (caracol); Destroncador; Plataforma convencional de cereais adaptada; Plataforma convencional de milho adaptada; Sistemas de trilha, separação e limpeza; Mecanismos de trilha; Mecanismos de separação; Mecanismos de limpeza; Fatores que afetam a eficiência da colheita mecânica de girassol; Desuniformidade da lavoura; Desprendimento dos grãos; Peso de 1000 grãos; Época de semeadura; Espaçamento entre linhas de semeadura; Densidade de plantas; Plantas daninhas; Restos vegetais; Acamamento e quebra de plantas; Pássaros; Chuva; Ventos; Umidade no caule e no capítulo; Colheita de girassol. Velocidade e capacidade de trabalho do equipamento; Perda de grãos na colheita mecanizada de girassol; Colheita; capítulos não coletados; Sistemas de alimentação; Mecanismos internos; Avaliação das perdas em diferentes tipos de plataformas de alimentação; Plataforma "girassoleira"; Plataforma convencional de milho adaptada.
650 $aColheita
650 $aGirassol
653 $aSunflower
700 1 $aMESQUITA, C. de M.
700 1 $aPORTUGAL, F. A. F.
773 $tIn: LEITE, R. M. V. B. de C.; BRIGHENTI, A. M.; CASTRO, C. de (ed.). Girassol no Brasil. Londrina: Embrapa Soja, 2005. cap. 19.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Amapá. |
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Data corrente: |
12/02/2020 |
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Data da última atualização: |
16/06/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SMITH, M. N.; SCHITTI, J.; GONÇALVES, N.; MINOR, D.; ALMEIDA, D. R. A. de; ROCHA, D. G.; ARAGÓN, S.; MENIN, M.; GUEDES, M. C.; TONINI, H.; SILVA, K. E. da; ROSA, D. M.; NELSON, B. W.; CORDEIRO, C. L. O.; OLIVEIRA JUNIOR, R. C. de; SHAO, G.; SOUZA, M. S.; MCMAHON, S.; ALMEIDA, D.; ARAGÃO, L. E. O. C.; LIMA, N. Z. de; OLIVEIRA, G. de; ASSIS, R. L. de; CAMARGO, J. L.; MESQUITA, R. G.; SALESKA, S. R.; BRESHEARS, D. D.; COSTA, F. R. C.; STARK, S. C. |
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Afiliação: |
MARIELLE NATASHA SMITH, Michigan State University; JULIANA SCHITTI, INPA; NATHAN GONÇALVES, Michigan State University; DAVID MINOR, University of Maryland College Park; DANILO ROBERTI ALVES DE ALMEIDA, USP/ESALQ; DANIEL GOMES ROCHA, INPA; SUSAN ARAGÓN, UFOPA; MARCELO MENIN, UFAM; MARCELINO CARNEIRO GUEDES, CPAF-AP; HELIO TONINI, CPPSUL; KATIA EMIDIO DA SILVA, CPAA; DIOGO MARTINS ROSA, INPA; BRUCE W NELSON, INPA; CARLOS LEANDRO OLIVEIRA CORDEIRO, IIS; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; GANG SHAO, Michigan State University; MENDELL S. SOUZA, UFOPA; SEAN MCMAHON, Smithsonian Environmental Research Center (SERC); DANIEL ALMEIDA, UFOPA; LUIZ E. O. C. ARAGÃO, INPE; NICOLAS ZASLAVSKY DE LIMA, UFOPA; GABRIELA DE OLIVEIRA, University of Kansas; RAFAEL LEANDRO DE ASSIS, INPA; JOSÉ L. CAMARGO, INPA; RITA G MESQUITA, INPA; SCOTT R SALESKA, University of Arizona; DAVID D. BRESHEARS, University of Arizona; FLAVIA REGINA CAPELLOTTO COSTA, INPA; SCOTT C. STARK, Michigan State University. |
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Título: |
Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU, 2019. |
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Idioma: |
Inglês |
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Notas: |
Paper 499657. |
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Conteúdo: |
A critical problem in tropical forest ecology is understanding how vegetation structure and function vary over environmental gradients. The degree to which forest structure changes across the Amazon basin and the role of environmental variability in shaping forest structure and dynamics are poorly characterised, despite the importance of these forests for regional and global climate. To address these challenges, we connected 10 years of investigations to amass a large database of ground-based profiling canopy lidar (PCL) data from 297 Amazon forest plots across large-scale environmental and disturbance gradients. Mean annual precipitation varied from 1,963 to 3,159 mm, number of dry season months from 0 to 5, and plot soil types covered about half of the variation in phosphorus, exchangeable cation, and soil physical property values observed in Amazonia. We quantified detailed metrics of vertical and horizontal structure and canopy light environments. Forest structure varied considerably across plots; maximum canopy height ranged from 6.1 to 35.7 m, gap fraction from 0.00 to 0.36, LAI from 0.5 to 7.3, rugosity from 1.5 to 7.5 m, and the relative height of 50% light transmission from 0.3 to 0.8. Disturbed sites exhibited almost twice the level of variation (SD) to non-disturbed sites for many metrics. Vertical leaf area density (LAD) profiles also showed high between plot variability, especially at low and high relative canopy heights. Plots with similar LAD profiles sometimes exhibited different distributions of ?canopy photic environment layers??where canopy leaf area is separated into photic environment layers by depth from canopy surface. This demonstrates that LAD profiles alone are insufficient for characterising canopy environments, essential to light-driven regeneration and carbon cycle processes. In addition, we evaluated relationships between lidar metrics and environmental variables extracted from geospatial layers. Our dataset allows a unique and detailed multi-site analysis of canopy structure and environments across the Amazon, including regions with little or no lidar sampling. Examining how structural attributes alter across environmental gradients is critical to understanding how current and future climate influences Amazonian forest structure, function, and dynamics. MenosA critical problem in tropical forest ecology is understanding how vegetation structure and function vary over environmental gradients. The degree to which forest structure changes across the Amazon basin and the role of environmental variability in shaping forest structure and dynamics are poorly characterised, despite the importance of these forests for regional and global climate. To address these challenges, we connected 10 years of investigations to amass a large database of ground-based profiling canopy lidar (PCL) data from 297 Amazon forest plots across large-scale environmental and disturbance gradients. Mean annual precipitation varied from 1,963 to 3,159 mm, number of dry season months from 0 to 5, and plot soil types covered about half of the variation in phosphorus, exchangeable cation, and soil physical property values observed in Amazonia. We quantified detailed metrics of vertical and horizontal structure and canopy light environments. Forest structure varied considerably across plots; maximum canopy height ranged from 6.1 to 35.7 m, gap fraction from 0.00 to 0.36, LAI from 0.5 to 7.3, rugosity from 1.5 to 7.5 m, and the relative height of 50% light transmission from 0.3 to 0.8. Disturbed sites exhibited almost twice the level of variation (SD) to non-disturbed sites for many metrics. Vertical leaf area density (LAD) profiles also showed high between plot variability, especially at low and high relative canopy heights. Plots with similar LAD profiles sometime... Mostrar Tudo |
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Thesagro: |
Climatologia; Ecologia Florestal; Floresta Tropical. |
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Thesaurus NAL: |
Climatology; Forest ecology; Tropical forests. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/210797/1/CPAF-AP-2019-Variations-in-Amazonian-forest.pdf
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Marc: |
LEADER 03822nam a2200529 a 4500
001 2120215
005 2023-06-16
008 2019 bl uuuu u00u1 u #d
100 1 $aSMITH, M. N.
245 $aVariations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients.$h[electronic resource]
260 $aIn: AGU FALL MEETING, 2019, San Francisco. Anais... San Francisco: AGU$c2019
500 $aPaper 499657.
520 $aA critical problem in tropical forest ecology is understanding how vegetation structure and function vary over environmental gradients. The degree to which forest structure changes across the Amazon basin and the role of environmental variability in shaping forest structure and dynamics are poorly characterised, despite the importance of these forests for regional and global climate. To address these challenges, we connected 10 years of investigations to amass a large database of ground-based profiling canopy lidar (PCL) data from 297 Amazon forest plots across large-scale environmental and disturbance gradients. Mean annual precipitation varied from 1,963 to 3,159 mm, number of dry season months from 0 to 5, and plot soil types covered about half of the variation in phosphorus, exchangeable cation, and soil physical property values observed in Amazonia. We quantified detailed metrics of vertical and horizontal structure and canopy light environments. Forest structure varied considerably across plots; maximum canopy height ranged from 6.1 to 35.7 m, gap fraction from 0.00 to 0.36, LAI from 0.5 to 7.3, rugosity from 1.5 to 7.5 m, and the relative height of 50% light transmission from 0.3 to 0.8. Disturbed sites exhibited almost twice the level of variation (SD) to non-disturbed sites for many metrics. Vertical leaf area density (LAD) profiles also showed high between plot variability, especially at low and high relative canopy heights. Plots with similar LAD profiles sometimes exhibited different distributions of ?canopy photic environment layers??where canopy leaf area is separated into photic environment layers by depth from canopy surface. This demonstrates that LAD profiles alone are insufficient for characterising canopy environments, essential to light-driven regeneration and carbon cycle processes. In addition, we evaluated relationships between lidar metrics and environmental variables extracted from geospatial layers. Our dataset allows a unique and detailed multi-site analysis of canopy structure and environments across the Amazon, including regions with little or no lidar sampling. Examining how structural attributes alter across environmental gradients is critical to understanding how current and future climate influences Amazonian forest structure, function, and dynamics.
650 $aClimatology
650 $aForest ecology
650 $aTropical forests
650 $aClimatologia
650 $aEcologia Florestal
650 $aFloresta Tropical
700 1 $aSCHITTI, J.
700 1 $aGONÇALVES, N.
700 1 $aMINOR, D.
700 1 $aALMEIDA, D. R. A. de
700 1 $aROCHA, D. G.
700 1 $aARAGÓN, S.
700 1 $aMENIN, M.
700 1 $aGUEDES, M. C.
700 1 $aTONINI, H.
700 1 $aSILVA, K. E. da
700 1 $aROSA, D. M.
700 1 $aNELSON, B. W.
700 1 $aCORDEIRO, C. L. O.
700 1 $aOLIVEIRA JUNIOR, R. C. de
700 1 $aSHAO, G.
700 1 $aSOUZA, M. S.
700 1 $aMCMAHON, S.
700 1 $aALMEIDA, D.
700 1 $aARAGÃO, L. E. O. C.
700 1 $aLIMA, N. Z. de
700 1 $aOLIVEIRA, G. de
700 1 $aASSIS, R. L. de
700 1 $aCAMARGO, J. L.
700 1 $aMESQUITA, R. G.
700 1 $aSALESKA, S. R.
700 1 $aBRESHEARS, D. D.
700 1 $aCOSTA, F. R. C.
700 1 $aSTARK, S. C.
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Embrapa Amapá (CPAF-AP) |
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