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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
17/03/2011 |
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Data da última atualização: |
14/08/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MIRANDA, C. H. B.; VOGEL, K.; MITCHELL, R.; SARATH, G. |
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Afiliação: |
CESAR HERACLIDES BEHLING MIRANDA, CNPGC; KENNETH VOGEL, CENTER FOR AGRICULTURAL RESOURCES RESEARCH; ROBERT MITCHELL, CENTER FOR AGRICULTURAL RESOURCES RESEARCH; GAUTAM SARATH, USDA-ARS, Lincoln, NE. |
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Título: |
The potential for using the ARS switchgrass bioenergy NIRS calibration on C4 tropical grasses. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: INTERNATIONAL ANNUAL MEETINGS, ASA, CSSA, AND SSSA, Long Beach, CA, 2010. Green Revolution 2.0: Food + Energy and Environmental Security: abstracts. Long Beach, 2010. Madison: ASA: CSSA: SSSA, 2010. |
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Páginas: |
1 p. |
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Idioma: |
Inglês |
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Notas: |
Paper 61692. |
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Conteúdo: |
Research at USDA-ARS Forage, Grain and Bioenergy Research Unit (GFBRU) has demonstrated that Near-Infrared Spectroscopy (NIRS) can be used to determine soluble and cell wall sugars of switchgrass biomass in addition to traditional forage quality traits. Composition data on cell wall and soluble sugars in biomass can be used to estimate potential ethanol yields from biomass. The applicability of the ARS Switchgrass Bioenergy NIRS Calibration to samples of Brachiaria brizantha, a tropical C4 forage grass was determined. One-hundred and fifty samples, taken from a Brachiaria field experiment and encompassing a range of physiological conditions, were evaluated using the switchgrass NIRS equations. A subset of samples (15%) were analyzed for composition using wet chemistry. Samples were also evaluated for forage quality traits including IVDMD, NDF, ADF, ADL and CP contents, using NIRS and predictions equations as practiced at Embrapa Beef Cattle, Brazil, and then compared with their measurements at GFBRU. There was a very good relationship with measurements from both laboratories for all these quality parameters. However, direct determinations of soluble and cell wall sugars of B.brizantha samples were not as well correlated with the predicted NIRS results using the ARS switchgrass calibration. Total measured and predicted C5 sugars yielded the same content, but there was twice as much arabinan in B. brizantha than that predicted by the switchgrass NIRS calibration. There were also significant differences in predicted and measured total C6 sugars which will significantly affect potential ethanol yield. As a result of these comparisons, it is concluded that biomass bioenergy NIRS prediction equations will need to be developed specifically for tropical grasses, using the model already used by ARS in developing a switchgrass NIRS calibration. MenosResearch at USDA-ARS Forage, Grain and Bioenergy Research Unit (GFBRU) has demonstrated that Near-Infrared Spectroscopy (NIRS) can be used to determine soluble and cell wall sugars of switchgrass biomass in addition to traditional forage quality traits. Composition data on cell wall and soluble sugars in biomass can be used to estimate potential ethanol yields from biomass. The applicability of the ARS Switchgrass Bioenergy NIRS Calibration to samples of Brachiaria brizantha, a tropical C4 forage grass was determined. One-hundred and fifty samples, taken from a Brachiaria field experiment and encompassing a range of physiological conditions, were evaluated using the switchgrass NIRS equations. A subset of samples (15%) were analyzed for composition using wet chemistry. Samples were also evaluated for forage quality traits including IVDMD, NDF, ADF, ADL and CP contents, using NIRS and predictions equations as practiced at Embrapa Beef Cattle, Brazil, and then compared with their measurements at GFBRU. There was a very good relationship with measurements from both laboratories for all these quality parameters. However, direct determinations of soluble and cell wall sugars of B.brizantha samples were not as well correlated with the predicted NIRS results using the ARS switchgrass calibration. Total measured and predicted C5 sugars yielded the same content, but there was twice as much arabinan in B. brizantha than that predicted by the switchgrass NIRS calibration. There were al... Mostrar Tudo |
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Thesagro: |
Bioenergia; Brachiaria; Pastagem. |
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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/doc/881241/1/The-potential-using-ARS-2010.pdf
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Marc: |
LEADER 02579nam a2200205 a 4500
001 1881241
005 2023-08-14
008 2010 bl uuuu u00u1 u #d
100 1 $aMIRANDA, C. H. B.
245 $aThe potential for using the ARS switchgrass bioenergy NIRS calibration on C4 tropical grasses.
260 $aIn: INTERNATIONAL ANNUAL MEETINGS, ASA, CSSA, AND SSSA, Long Beach, CA, 2010. Green Revolution 2.0: Food + Energy and Environmental Security: abstracts. Long Beach, 2010. Madison: ASA: CSSA: SSSA$c2010
300 $a1 p.
500 $aPaper 61692.
520 $aResearch at USDA-ARS Forage, Grain and Bioenergy Research Unit (GFBRU) has demonstrated that Near-Infrared Spectroscopy (NIRS) can be used to determine soluble and cell wall sugars of switchgrass biomass in addition to traditional forage quality traits. Composition data on cell wall and soluble sugars in biomass can be used to estimate potential ethanol yields from biomass. The applicability of the ARS Switchgrass Bioenergy NIRS Calibration to samples of Brachiaria brizantha, a tropical C4 forage grass was determined. One-hundred and fifty samples, taken from a Brachiaria field experiment and encompassing a range of physiological conditions, were evaluated using the switchgrass NIRS equations. A subset of samples (15%) were analyzed for composition using wet chemistry. Samples were also evaluated for forage quality traits including IVDMD, NDF, ADF, ADL and CP contents, using NIRS and predictions equations as practiced at Embrapa Beef Cattle, Brazil, and then compared with their measurements at GFBRU. There was a very good relationship with measurements from both laboratories for all these quality parameters. However, direct determinations of soluble and cell wall sugars of B.brizantha samples were not as well correlated with the predicted NIRS results using the ARS switchgrass calibration. Total measured and predicted C5 sugars yielded the same content, but there was twice as much arabinan in B. brizantha than that predicted by the switchgrass NIRS calibration. There were also significant differences in predicted and measured total C6 sugars which will significantly affect potential ethanol yield. As a result of these comparisons, it is concluded that biomass bioenergy NIRS prediction equations will need to be developed specifically for tropical grasses, using the model already used by ARS in developing a switchgrass NIRS calibration.
650 $aBioenergia
650 $aBrachiaria
650 $aPastagem
700 1 $aVOGEL, K.
700 1 $aMITCHELL, R.
700 1 $aSARATH, G.
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
03/12/2021 |
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Data da última atualização: |
27/04/2022 |
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Tipo da produção científica: |
Autoria/Organização/Edição de Livros |
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Autoria: |
SILVA, L. D.; HIGA, A. R.; VICTORIA, D. de C.; BASTOS, F. G.; LEITE, H. P. P.; FREIRE, L. V. (org.). |
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Afiliação: |
LUCIANA DUQUE SILVA, ESALQ/USP; ANTONIO RIOYEI HIGA, UFPR; DANIEL DE CASTRO VICTORIA, CNPTIA; FABIANA GONÇALVES BASTOS, ESALQ/USP; HELLEN PATRICIA PECCHI LEITE, ESALQ/USP; LUÍS VALENTINO FREIRE, ESALQ/USP. |
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Título: |
Sistema de informações para planejamento florestal no cerrado brasileiro. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Piracicaba: ESALQ/USP, 2021. v. II, 95 p. |
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Descrição Física: |
il. color. |
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ISBN: |
978-65-87391-07-6 |
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DOI: |
10.11606/9786587391076 |
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Idioma: |
Português |
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Conteúdo: |
O livro é composto por um capítulo inicial que trata sobre alguns fatores relacionados à escolha de espécies/clones florestais, para cultivo no Bioma Cerrado do Brasil, seguido de dois capítulos resumindo informações sobre o clima e solo deste bioma. No quarto capítulo são apresentadas algumas experiências vivenciadas por produtores que cultivam espécies/clones florestais no Bioma Cerrado e para fechar essa obra o quinto capítulo apresenta um diagnóstico sobre a adaptação das principais espécies e/ou clones florestais, atualmente cultivados nas diferentes "Dendrozonas" ou zonas bioclimáticas do Bioma Cerrado. As informações descritas nesse último capítulo foram coletadas pela equipe técnica do Projeto SiFlor Cerrado, com apoio do Programa ABC do MAPA - Ministério da Agricultura, Pecuária e Abastecimento. |
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Palavras-Chave: |
Bioma Cerrado. |
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Thesagro: |
Cerrado; Planejamento Florestal; Povoamento Florestal; Sistema de Informação. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228470/1/LV-Sistema-planejamento-florestal-V2-2021.pdf
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Marc: |
LEADER 01593nam a2200265 a 4500
001 2137042
005 2022-04-27
008 2021 bl uuuu 00u1 u #d
020 $a978-65-87391-07-6
024 7 $a10.11606/9786587391076$2DOI
100 1 $aSILVA, L. D.
245 $aSistema de informações para planejamento florestal no cerrado brasileiro.
260 $aPiracicaba: ESALQ/USP, 2021. v. II, 95 p.$c2021
300 $cil. color.
520 $aO livro é composto por um capítulo inicial que trata sobre alguns fatores relacionados à escolha de espécies/clones florestais, para cultivo no Bioma Cerrado do Brasil, seguido de dois capítulos resumindo informações sobre o clima e solo deste bioma. No quarto capítulo são apresentadas algumas experiências vivenciadas por produtores que cultivam espécies/clones florestais no Bioma Cerrado e para fechar essa obra o quinto capítulo apresenta um diagnóstico sobre a adaptação das principais espécies e/ou clones florestais, atualmente cultivados nas diferentes "Dendrozonas" ou zonas bioclimáticas do Bioma Cerrado. As informações descritas nesse último capítulo foram coletadas pela equipe técnica do Projeto SiFlor Cerrado, com apoio do Programa ABC do MAPA - Ministério da Agricultura, Pecuária e Abastecimento.
650 $aCerrado
650 $aPlanejamento Florestal
650 $aPovoamento Florestal
650 $aSistema de Informação
653 $aBioma Cerrado
700 1 $aHIGA, A. R.
700 1 $aVICTORIA, D. de C.
700 1 $aBASTOS, F. G.
700 1 $aLEITE, H. P. P.
700 1 $aFREIRE, L. V.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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