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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
03/08/2022 |
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Data da última atualização: |
04/08/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ZANUS, M. C.; RIZZON, L. A.; MIELE, A. |
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Afiliação: |
MAURO CELSO ZANUS, CNPUV; LUIZ ANTENOR RIZZON, CNPUV; ALBERTO MIELE, CNPUV. |
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Título: |
Avaliação da distinguibilidade e da qualidade de vinhos varietais. |
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Ano de publicação: |
1996 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE VITICULTURA E ENOLOGIA, 8., 1996, Bento Gonçalves. Resumos... Novos rumos para a vitivinicultura brasileira. Bento Gonçalves: Embrapa Uva e Vinho, 25 a 27 set. 1996. p. 14. |
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Idioma: |
Português |
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Conteúdo: |
A qualidade de um vinho varietal está osssociooo à adaptação da cultivar a um determinado meio vitícola. No Brasil,verifica-se que muitos vinhos varietais carecem de distinguibilidade e tipicidade, pois são neutros e deficientes em aromas primários, que são fundamentais para a consolidação de um vinho neste segmento de mercado. Estetrabalho avaliou o perfil sensorial, a qualidade e a distinguibilidade de vinhos varietais provenientes de microvinificações realizadas nas safras 94 e 96. |
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Palavras-Chave: |
Vinho varietal. |
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Thesagro: |
Vinho. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1145218/1/CBVE-8-1996-P14.pdf
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Marc: |
LEADER 01111nam a2200157 a 4500
001 2145218
005 2022-08-04
008 1996 bl uuuu u00u1 u #d
100 1 $aZANUS, M. C.
245 $aAvaliação da distinguibilidade e da qualidade de vinhos varietais.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE VITICULTURA E ENOLOGIA, 8., 1996, Bento Gonçalves. Resumos... Novos rumos para a vitivinicultura brasileira. Bento Gonçalves: Embrapa Uva e Vinho, 25 a 27 set. 1996. p. 14.$c1996
520 $aA qualidade de um vinho varietal está osssociooo à adaptação da cultivar a um determinado meio vitícola. No Brasil,verifica-se que muitos vinhos varietais carecem de distinguibilidade e tipicidade, pois são neutros e deficientes em aromas primários, que são fundamentais para a consolidação de um vinho neste segmento de mercado. Estetrabalho avaliou o perfil sensorial, a qualidade e a distinguibilidade de vinhos varietais provenientes de microvinificações realizadas nas safras 94 e 96.
650 $aVinho
653 $aVinho varietal
700 1 $aRIZZON, L. A.
700 1 $aMIELE, A.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
10/08/2020 |
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Data da última atualização: |
10/08/2020 |
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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: |
BOSI, C.; SENTELHAS, P. C.; HUTH, N. I.; PEZZOPANE, J. R. M.; ANDREUCCI, M. P.; SANTOS, P. M. |
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Afiliação: |
Cristiam Bosi, USP - ESALQ; Paulo Cesar Sentelhas, USP - ESALQ; Neil Ian Huth, CSIRO; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; Mariana Pares Andreucci, AgResearch, Lincoln Research Centre; PATRICIA MENEZES SANTOS, CPPSE. |
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Título: |
APSIM-Tropical Pasture: A model for simulating perennial tropical grass growth and its parameterisation for palisade grass (Brachiaria brizantha). |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Agricultural Systems, n. 184, 102917. |
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Páginas: |
14 p. |
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DOI: |
https://doi.org/10.1016/j.agsy.2020.102917 |
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Idioma: |
Inglês |
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Conteúdo: |
Tropical grasses are used as forage, to produce energy from biomass, for land restoration and carbon sequestration, among other applications. Many modelling approaches have been employed to simulate tropical grasses growth, but these have several limitations that must be solved by adapting them or creating new models. This study aimed to develop a tropical pasture model in the Agricultural Production Systems Simulator (APSIM) modelling framework, and to parameterise it to simulate Brachiaria brizantha ?BRS Piatã? growth, under grazing and cut-and-carry management. For this, three field experiments were conducted in the South-east of Brazil where pasture growth was measured in a cut-and-carry system, with irrigated and rainfed treatments, and in a rainfed grazing system. Model evaluation was performed through precision and accuracy indices and simulation errors. Under cut-and-carry management, forage productivity was estimated with R2 values from 0.89 to 0.94, Willmott agreement indices between 0.97 and 0.98, and Nash-Sutcliffe Efficiency values of 0.88 to up to 0.92. This demonstrates the capacity of the APSIM-Tropical Pasture model to simulate tropical pastures. Simulation of phenology, early growth after sowing, partitioning and senescence during flowering, and reallocation and retranslocation of plant dry matter and nitrogen were important aspects for this capacity. Then, APSIM-Tropical Pasture can be used to simulate tropical pastures, but several requirements for further improvements have been identified, such as to improve the simulations of flowering for palisade grass, N effects on pasture yield, reallocation and retranslocation processes. Under grazing management, forage productivity was estimated with R2 = 0.80, Willmott agreement index of 0.91, and Nash-Sutcliffe Efficiency value of 0.62. Despite these reasonable results, simulations presented problems, since does not take into account the effect of grazing animals on pastures. This indicates that, in its current form, APSIM-Tropical Pasture is not able to simulate pastures under grazing effectively. However, this simulation of grazed system was important to identify main modelling constraints and direct future research to improve knowledge of processes and interactions needed for pasture model development. MenosTropical grasses are used as forage, to produce energy from biomass, for land restoration and carbon sequestration, among other applications. Many modelling approaches have been employed to simulate tropical grasses growth, but these have several limitations that must be solved by adapting them or creating new models. This study aimed to develop a tropical pasture model in the Agricultural Production Systems Simulator (APSIM) modelling framework, and to parameterise it to simulate Brachiaria brizantha ?BRS Piatã? growth, under grazing and cut-and-carry management. For this, three field experiments were conducted in the South-east of Brazil where pasture growth was measured in a cut-and-carry system, with irrigated and rainfed treatments, and in a rainfed grazing system. Model evaluation was performed through precision and accuracy indices and simulation errors. Under cut-and-carry management, forage productivity was estimated with R2 values from 0.89 to 0.94, Willmott agreement indices between 0.97 and 0.98, and Nash-Sutcliffe Efficiency values of 0.88 to up to 0.92. This demonstrates the capacity of the APSIM-Tropical Pasture model to simulate tropical pastures. Simulation of phenology, early growth after sowing, partitioning and senescence during flowering, and reallocation and retranslocation of plant dry matter and nitrogen were important aspects for this capacity. Then, APSIM-Tropical Pasture can be used to simulate tropical pastures, but several requirements for furthe... Mostrar Tudo |
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Palavras-Chave: |
BRS Piatã cultivar; C4 grass; Cut and carry; Modelling. |
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Thesaurus NAL: |
Forage; Grazing. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 03144naa a2200277 a 4500
001 2124245
005 2020-08-10
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.agsy.2020.102917$2DOI
100 1 $aBOSI, C.
245 $aAPSIM-Tropical Pasture$bA model for simulating perennial tropical grass growth and its parameterisation for palisade grass (Brachiaria brizantha).$h[electronic resource]
260 $c2020
300 $a14 p.
520 $aTropical grasses are used as forage, to produce energy from biomass, for land restoration and carbon sequestration, among other applications. Many modelling approaches have been employed to simulate tropical grasses growth, but these have several limitations that must be solved by adapting them or creating new models. This study aimed to develop a tropical pasture model in the Agricultural Production Systems Simulator (APSIM) modelling framework, and to parameterise it to simulate Brachiaria brizantha ?BRS Piatã? growth, under grazing and cut-and-carry management. For this, three field experiments were conducted in the South-east of Brazil where pasture growth was measured in a cut-and-carry system, with irrigated and rainfed treatments, and in a rainfed grazing system. Model evaluation was performed through precision and accuracy indices and simulation errors. Under cut-and-carry management, forage productivity was estimated with R2 values from 0.89 to 0.94, Willmott agreement indices between 0.97 and 0.98, and Nash-Sutcliffe Efficiency values of 0.88 to up to 0.92. This demonstrates the capacity of the APSIM-Tropical Pasture model to simulate tropical pastures. Simulation of phenology, early growth after sowing, partitioning and senescence during flowering, and reallocation and retranslocation of plant dry matter and nitrogen were important aspects for this capacity. Then, APSIM-Tropical Pasture can be used to simulate tropical pastures, but several requirements for further improvements have been identified, such as to improve the simulations of flowering for palisade grass, N effects on pasture yield, reallocation and retranslocation processes. Under grazing management, forage productivity was estimated with R2 = 0.80, Willmott agreement index of 0.91, and Nash-Sutcliffe Efficiency value of 0.62. Despite these reasonable results, simulations presented problems, since does not take into account the effect of grazing animals on pastures. This indicates that, in its current form, APSIM-Tropical Pasture is not able to simulate pastures under grazing effectively. However, this simulation of grazed system was important to identify main modelling constraints and direct future research to improve knowledge of processes and interactions needed for pasture model development.
650 $aForage
650 $aGrazing
653 $aBRS Piatã cultivar
653 $aC4 grass
653 $aCut and carry
653 $aModelling
700 1 $aSENTELHAS, P. C.
700 1 $aHUTH, N. I.
700 1 $aPEZZOPANE, J. R. M.
700 1 $aANDREUCCI, M. P.
700 1 $aSANTOS, P. M.
773 $tAgricultural Systems$gn. 184, 102917.
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