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| 41. |  | IANELLA, P.; VARELA, E. S.; ALVES, A. L.; VILLELA, L. C. V.; SILVA, N. M. A. da; YAMAGISHI, M. E. B.; OLIVEIRA, F. S. de; PAIVA, S. R.; CAETANO, A. R. SNP discovery in the South American Frehwater fish tambaqui (Colossoma macroponum) by deep sequenciang of reduced representation libraries. In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s. n.], 2016. P0484.| Biblioteca(s): Embrapa Pesca e Aquicultura. |
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| 42. | | IANELLA, P.; VARELA, E. S.; ALVES, A. L.; VILLELA, L. C. V.; SILVA, N. M. A. da; YAMAGISHI, M. E. B.; OLIVEIRA, F. S. de; PAIVA, S. R.; CAETANO, A. R. SNP discovery in the South American Frehwater fish tambaqui (Colossoma macroponum) by deep sequenciang of reduced representation libraries. In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s. n.], 2016. P0484.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 43. | | IANELLA, P.; VARELA, E. S.; ALVES, A. L.; VILLELA, L. C. V.; SILVA, N. M. A. da; YAMAGISHI, M. E. B.; OLIVEIRA, F. S. de; PAIVA, S. R.; CAETANO, A. R. SNP discovery in the South American freshwater fish tambaqui (Colossoma macropomum) by deep sequencing of reduced representation libraries. In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s. n.], 2016. Não paginado. PAG 2016. Pôster P0484.| Biblioteca(s): Embrapa Pesca e Aquicultura. |
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| 44. | | IANELLA, P.; VARELA, E. S.; ALVES, A. L.; VILLELA, L. C. V.; SILVA, N. M. A. da; YAMAGISHI, M. E. B.; OLIVEIRA, F. S. de; PAIVA, S. R.; CAETANO, A. R. SNP discovery in the South American freshwater fish tambaqui (Colossoma macropomum) by deep sequencing of reduced representation libraries. In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. Não paginado. PAG 2016. Pôster P0484.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 45. | | PEREIRA, M. G.; SILVA, R. C. da; PINHEIRO JUNIOR, C. R.; OLIVEIRA, F. S. de; SILVA NETO, E. C. da; FONTANA, A.; PACHECO, A. A.; PEDRON, F. de A. Soil genesis on the soft slopes of ancient coastal plains, southeastern Brazil. Catena, v. 210, 105894, Mar. 2022.| Biblioteca(s): Embrapa Solos. |
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| 46. | | ALBUQUERQUE, J. R. T. de; LINS, H. A.; SANTOS, M. G. dos; FREITAS, M. A. M. de; OLIVEIRA, F. S. de; SOUZA, A. R. E. de; SILVEIRA, L. M. da; NUNES, G. H. de S.; BARROS JÚNIOR, A. P.; VIEIRA, P. F. de M. J. Adaptability and stability of soybean (Glycine max L.) genotypes in semiarid conditions. Euphytica, v. 218, n. 61, 2022. 12 p.| Biblioteca(s): Embrapa Meio-Norte. |
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| 47. | | MATOSINHO, C. G. R.; ROSSE, I. C.; FONSECA, P. A. S.; OLIVEIRA, F. S. de; SANTOS, F. G. dos; ARAÚJO, F. M. G.; SALIM, A. C. de M.; LOPES, B. C.; ARBEX, W. A.; MACHADO, M. A.; PEIXOTO, M. G. C. D.; VERNEQUE, R. da S.; MARTINS, M. F.; SILVA, M. V. G. B.; OLIVEIRA, G.; PIRES, D. E. V.; CARVALHO, M. R. S. Identifcation and in silico characterization of structural and functional impacts of genetic variants in milk protein genes in the Zebu breeds Guzerat and Gyr. Tropical Animal Health and Production, v. 53, n. 6, 524, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 48. | | ALBUQUERQUE, J. R. T. de; LINS, H. A.; SANTOS, M. G. dos; FREITAS, M. A. M. de; OLIVEIRA, F. S. de; SOUZA, A. R. E. de; SILVEIRA, L. M. da; NUNES, G. H. de S.; BARROS JÚNIOR, A. P.; VIEIRA, P. F. de M. J. Influence of genotype-environment interaction on soybean (Glycine max L.) genetic divergence under semiarid conditions. Revista de la Facultad de Ciencias Agrarias UNCUYO, v. 54, n. 1, p. 1-12, 2022.| Biblioteca(s): Embrapa Meio-Norte. |
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| 49. | | CRUZ, I. R.; GERALDO, L. A.; OLIVEIRA, F. S. DE; LEITE, L. R.; ARAUJO, F.; ZERLOTINI NETO, A.; LOPES, B. C.; ARBEX, W. A.; MACHADO, M. A.; PEIXOTO, M. G. C. D.; VERNEQUE, R. da S.; MARTINS, M. F.; SILVA, M. V. G. B.; COIMBRA, R. S.; CARVALHO, M. R. S.; OLIVEIRA, G. New single nucleotide polymorphisms in guzerá breed revealed by whole-genome re-sequencing. In: INTERNATIONAL CONFERENCE OF THE AB3C; BRAZILIAN SYMPOSIUM ON BIOINFORMATICS, 2013, Recife. Abstract book... Recife: Brazilian Association for Bioinformatics and Computer Biology; Braziian Computer Society, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
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| 50. | | CRUZ, I. R.; GERALDO, J. A.; OLIVEIRA, F. S. de; LEITE, L. R.; ARAÚJO, F.; ZERLOTINI, A.; LOPES, B. C.; ARBEX, W. A.; MACHADO, M. A.; PEIXOTO, M. G. C. D.; VERNEQUE, R. da S.; MARTINS, M. F.; SILVA, M. V. G. B.; COIMBAR, R. S.; CARVALHO, M. R. S.; OLIVEIRA, G. New single sucleotide polymorphisms in Guzerá breed revealed by whole-genome re-sequencing. In: INTERNATIONAL CONFERENCE OF THE AB3C; BRAZILIAN SYMPOSIUM ON BIOINFORMATICS, 2013, Recife. Abstract book... Recife: Brazilian Association for Bioinformatics and Computer Biology; Braziian Computer Society, 2013. Não paginado. X-meeting BSB 2013. Abstract 76.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 50 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Ocidental. Para informações adicionais entre em contato com cpaa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Ocidental. |
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Data corrente: |
20/02/2000 |
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Data da última atualização: |
05/01/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
NELSON, B. W.; MESQUITA, R.; PEREIRA, J. L. G.; SOUZA, S. G. A. de; BATISTA, G. T.; COUTO, L. B. |
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Afiliação: |
INPA; Embrapa Amazonia Ocidental; INPE. |
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Título: |
Allometric regressions for improved estimate of secondary forest biomass in the central Amazon. |
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Ano de publicação: |
1999 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 117, n. 1, p. 149-167, 1999. |
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Idioma: |
Inglês |
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Conteúdo: |
Estimates of the sequestering of carbon by secondary of forests - wich occupy almost half the deforested area of the Brazilian Amazon - will be improved by the use of accurate allometric relationships for non-destructive measurement of standing biomass and by an evaluation of the suitability of existing equations for application in secondary forest. Species-specific and mixed-species regressions for estimating total above-ground dry weight (DW) were therefore developed using eight abundant secondary forest tree species in the central Amazon. Using only DBH as the input variable, the species-specific equations estimated DW of individual trees an average error of 10%-15%. For the mixed-species equations, developed using 132trees from seven of the wight species (excluding Cecropia, average error in estimating DW of individual trees was 19.8% using only DBH and 15.0% using DBH plus specific density of the wood (SD). Average SD for each species can be substituted without increasing the error of the estimate. Adding total tree hight (H) as an input variable provided only a slight reduction in error to 14.0%. Previously plublished mixed-species biomass regression models, based on primary and secondary forest trees of the Amazon, were also cross-valited against the trees of this study. Two of these models, based on primary forest plots and using only DBH as an input, overstimated biomass by 10%-60% for central Amazonian secondary of forest trees in the size range 5cm-25cm. The overstimate was greatest for the larger trees. Including Cecropia in the test group will make the overstimate even greater. Those published equation using DBH, H. and SD as inputs, wheter from secondary or primary forest plots, showed better agreement with the sample-derived regressions and lower average erros in estimation of individual tree dry weights. MenosEstimates of the sequestering of carbon by secondary of forests - wich occupy almost half the deforested area of the Brazilian Amazon - will be improved by the use of accurate allometric relationships for non-destructive measurement of standing biomass and by an evaluation of the suitability of existing equations for application in secondary forest. Species-specific and mixed-species regressions for estimating total above-ground dry weight (DW) were therefore developed using eight abundant secondary forest tree species in the central Amazon. Using only DBH as the input variable, the species-specific equations estimated DW of individual trees an average error of 10%-15%. For the mixed-species equations, developed using 132trees from seven of the wight species (excluding Cecropia, average error in estimating DW of individual trees was 19.8% using only DBH and 15.0% using DBH plus specific density of the wood (SD). Average SD for each species can be substituted without increasing the error of the estimate. Adding total tree hight (H) as an input variable provided only a slight reduction in error to 14.0%. Previously plublished mixed-species biomass regression models, based on primary and secondary forest trees of the Amazon, were also cross-valited against the trees of this study. Two of these models, based on primary forest plots and using only DBH as an input, overstimated biomass by 10%-60% for central Amazonian secondary of forest trees in the size range 5cm-25cm. The overs... Mostrar Tudo |
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Palavras-Chave: |
Amazonas; Brasil; Manaus; Secondary forest. |
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Thesagro: |
Biomassa; Carbono; Floresta Tropical Úmida. |
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Thesaurus NAL: |
biomass; carbon; tropical rain forests. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02669naa a2200301 a 4500
001 1668672
005 2015-01-05
008 1999 bl uuuu u00u1 u #d
100 1 $aNELSON, B. W.
245 $aAllometric regressions for improved estimate of secondary forest biomass in the central Amazon.
260 $c1999
520 $aEstimates of the sequestering of carbon by secondary of forests - wich occupy almost half the deforested area of the Brazilian Amazon - will be improved by the use of accurate allometric relationships for non-destructive measurement of standing biomass and by an evaluation of the suitability of existing equations for application in secondary forest. Species-specific and mixed-species regressions for estimating total above-ground dry weight (DW) were therefore developed using eight abundant secondary forest tree species in the central Amazon. Using only DBH as the input variable, the species-specific equations estimated DW of individual trees an average error of 10%-15%. For the mixed-species equations, developed using 132trees from seven of the wight species (excluding Cecropia, average error in estimating DW of individual trees was 19.8% using only DBH and 15.0% using DBH plus specific density of the wood (SD). Average SD for each species can be substituted without increasing the error of the estimate. Adding total tree hight (H) as an input variable provided only a slight reduction in error to 14.0%. Previously plublished mixed-species biomass regression models, based on primary and secondary forest trees of the Amazon, were also cross-valited against the trees of this study. Two of these models, based on primary forest plots and using only DBH as an input, overstimated biomass by 10%-60% for central Amazonian secondary of forest trees in the size range 5cm-25cm. The overstimate was greatest for the larger trees. Including Cecropia in the test group will make the overstimate even greater. Those published equation using DBH, H. and SD as inputs, wheter from secondary or primary forest plots, showed better agreement with the sample-derived regressions and lower average erros in estimation of individual tree dry weights.
650 $abiomass
650 $acarbon
650 $atropical rain forests
650 $aBiomassa
650 $aCarbono
650 $aFloresta Tropical Úmida
653 $aAmazonas
653 $aBrasil
653 $aManaus
653 $aSecondary forest
700 1 $aMESQUITA, R.
700 1 $aPEREIRA, J. L. G.
700 1 $aSOUZA, S. G. A. de
700 1 $aBATISTA, G. T.
700 1 $aCOUTO, L. B.
773 $tForest Ecology and Management$gv. 117, n. 1, p. 149-167, 1999.
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