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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. |
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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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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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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Tipo/Formato |
Classificação |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
10/11/2016 |
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Data da última atualização: |
14/04/2021 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SOUSA, S. M. de; OLIVEIRA-PAIVA, C. A.; GOMES, E. A.; LANA, U. G. de P.; SANTOS, N. G.; OLIVEIRA, L. B.; BATISTA, F. de C. |
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Afiliação: |
SYLVIA MORAIS DE SOUSA TINOCO, CNPMS; CHRISTIANE ABREU DE OLIVEIRA PAIVA, CNPMS; ELIANE APARECIDA GOMES, CNPMS; UBIRACI GOMES DE PAULA LANA, CNPMS; NATALIA GOÇALVES SANTOS, ETMSL, Sete Lagoas, MG.; LUCIMARA BATISTA OLIVEIRA, ETMSL, Sete Lagoas, MG.; FERNANDA DE CASSIA BATISTA, UNIFEMM, Sete Lagoas, MG. |
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Título: |
Ação de bioestimulantes à base de microrganismos em plântulas de milho crescidas em solução nutritiva. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 32.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 16.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 14.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 11., 2016, Goiânia. Rumo aos novos desafios: [anais]. Viçosa, MG: Sociedade Brasileira de Ciência do Solo, 2016. |
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Páginas: |
p. 886. |
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Idioma: |
Português |
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Notas: |
FertBio 2016. |
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Palavras-Chave: |
Promotor de crescimento. |
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Thesagro: |
Raiz; Solução nutritiva. |
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Thesaurus NAL: |
Roots. |
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Categoria do assunto: |
S Ciências Biológicas |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149915/1/Acao-bioestimulantes.pdf
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Marc: |
LEADER 01016nam a2200241 a 4500
001 2056190
005 2021-04-14
008 2016 bl uuuu u00u1 u #d
100 1 $aSOUSA, S. M. de
245 $aAção de bioestimulantes à base de microrganismos em plântulas de milho crescidas em solução nutritiva.$h[electronic resource]
260 $aIn: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 32.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 16.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 14.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 11., 2016, Goiânia. Rumo aos novos desafios: [anais]. Viçosa, MG: Sociedade Brasileira de Ciência do Solo$c2016
300 $ap. 886.
500 $aFertBio 2016.
650 $aRoots
650 $aRaiz
650 $aSolução nutritiva
653 $aPromotor de crescimento
700 1 $aOLIVEIRA-PAIVA, C. A.
700 1 $aGOMES, E. A.
700 1 $aLANA, U. G. de P.
700 1 $aSANTOS, N. G.
700 1 $aOLIVEIRA, L. B.
700 1 $aBATISTA, F. de C.
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Embrapa Milho e Sorgo (CNPMS) |
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