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41. | | SOUZA, T. S. de; PINHEIRO, R. R.; LIMA, C. C. V. de; BRITO, R. L. L. de; AZEVEDO, D. A. A. de; DIAS, R. P.; SANTOS, V. W. S. dos; ANDRIOLI, A.; COSTA, J. N. Sheep infection by caprine lentivirus. Revista Brasileira de Saúde e Produção Animal, v. 19, n. 3, p. 268-276, jul./set. 2018. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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42. | | LIMA, C. C. V. de; COSTA, J. N.; LIMA, E. B. de; SOUZA, T. S. de; ARAÚJO, B. R.; LEITE, M. D. X.; PINHEIRO, D. N. S.; PINHEIRO, R. R.; AYRES, M. C. C. Soroepidemiologia do lentivirus em ovinos no Semiárido baiano. In: CONGRESSO BRASILEIRO DE BUIATRIA, 10.; SEMANA DO MÉDICO VETERINÁRIO DO PARÁ, 37.; SIMPÓSIO PARAENSE DE MEDICINA VETERINÁRIA, 5., 2013, Belém, PA. Anais... Belém, PA: Associação Brasileira de Buiatria, 2013. 1 CD-ROM. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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43. | | PINHEIRO, R. R.; AZEVEDO, D. A. A. de; SOUZA, A. L. de; ARAÚJO, J. F.; ANDRIOLI, A.; SIDER, L. H.; SOUZA, T. S. de; CRUZ, J. C. M. da. Uso de cultura celular de membrana nictitante caprina para produção de antígeno de lentivírus de pequenos ruminantes. Sobral: Embrapa Caprinos e Ovinos, 2012. (Embrapa Caprinos e Ovinos. Comunicado Técnico, 132). Biblioteca(s): Embrapa Caprinos e Ovinos. |
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44. | | LIXA, A. T.; SILVA, G. P. da; SANTOS, R. M. dos; SOUZA, T. S. de; AGUIAR-MENESES, H. de L.; ALMEIDA, M. M. T. B.; AGUIAR, L. A. de; SILVA, A. de C.; VIEIRA, A. H.; RIBEIRO, R. de L. D. Efeitos letais e subletais de defensivos alternativos sobre larvas de primeiro instar de Coleomegilla maculata (Coleoptera: Coccinellidae). In: SIMPÓSIO DE CONTROLE BIOLÓGICO, 13., 2013, Bonito, MS. Faça bonito: use controle biológico: anais. Brasília, DF: Embrapa, 2013. Biblioteca(s): Embrapa Agrobiologia. |
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47. | | LIXA, A. T.; SILVA, G. P. da; SOUZA, T. S. de; SANTOS, T. M dos; AGUIAR-MENESES, H. de L.; ALMEIDA, M. M. T. B. de; AGUIAR, L. A. de; FERNANDES, M. do C. de A.; SILVA, A. de C.; RIBEIRO, R. de L. D. Efeito de defensivos alternativos pulverizados sobre ovos de Coleomegilla maculata (Coleoptera: Coccinellidae) em condições de laboratório. In: SIMPÓSIO DE CONTROLE BIOLÓGICO, 13., 2013, Bonito, MS. Faça bonito: use controle biológico: anais. Brasília, DF: Embrapa, 2013. Biblioteca(s): Embrapa Agrobiologia. |
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48. | | SOUZA, T. S. de; PINHEIRO, R. R.; COSTA, J. N.; LIMA, C. C. V. de; ANDRIOLI, A.; AZEVEDO, D. A. A. de; ARAÚJO, J. F.; SOUSA, A. L. M. de; PINHEIRO, D. N. S.; FERNANDES, F. M. C.; COSTA NETO, A. O. Interspecific transmission of small ruminant lentiviruses from goats to sheep. Brazilian Journal of Microbiology, São Paulo, v. 46, n. 3, p. 867-874, July/Sept. 2015. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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Registros recuperados : 48 | |
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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
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
10/08/2020 |
Data da última atualização: |
10/08/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
BOSI, C.; SENTELHAS, P. C.; HUTH, N. I.; PEZZOPANE, J. R. M.; ANDREUCCI, M. P.; SANTOS, P. M. |
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. |
Título: |
APSIM-Tropical Pasture: A model for simulating perennial tropical grass growth and its parameterisation for palisade grass (Brachiaria brizantha). |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Agricultural Systems, n. 184, 102917. |
Páginas: |
14 p. |
DOI: |
https://doi.org/10.1016/j.agsy.2020.102917 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
BRS Piatã cultivar; C4 grass; Cut and carry; Modelling. |
Thesaurus NAL: |
Forage; Grazing. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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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