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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
08/08/2024 |
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Data da última atualização: |
19/08/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BALCÃO, L. F.; ANDREUCCI, M.; SNOW, V.; HOLZWORTH, D.; BRUNETTI, H. B.; SANTOS, M. L. DOS; BOSI, C.; PEZZOPANE, J. R. M.; SANTOS, P. M. |
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Afiliação: |
LUCAS FILLIETAZ BALCÃO, UNIVERSITY OF SÃO PAULO; MARIANA ANDREUCCI, LINCOLN UNIVERSITY; VAL SNOW, LINCOLN RESEARCH CENTRE; DEAN HOLZWORTH, CSIRO; HENRIQUE BAUAB BRUNETTI, UNIVERSIDADE DE SÃO PAULO; MARIELY LOPES DOS SANTOS, UNIVERSIDADE DE SÃO PAULO; CRISTIAM BOSI, UNIVERSIDADE FEDERAL DO PARANÁ; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; PATRICIA MENEZES SANTOS, CPPSE. |
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Título: |
Pasture growth simulation and sensitivity analysis using APSIM-related models in a tropical silvopastoral system. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
European Journal of Agronomy, v. 160, 2024, 127307. |
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Páginas: |
15 p. |
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DOI: |
10.1016/j.eja.2024.127307 |
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Idioma: |
Inglês |
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Conteúdo: |
Silvopastoral systems integrate trees, pastures, and animals aiming for sustainable livestock production. The APSIM model has been used to simulate silvopastoral systems but the estimates of light transmission through the tree canopies, belowground water competition, and their effects on pasture production, have not been well adjusted. Thus, we improved the simulation of pasture growth within a silvopastoral system by integrating the APSIM-Tropical Pasture and APSIM-Slurps models and calibrated the coupled models to simulate light transmission through the trees along with water competition among species. Observed data was obtained from a silvopastoral system established in São Carlos, SP, Brazil, during two experimental periods that went from Dec-2014 until May-2016 and from Apr-2018 until May-2019. The calibration of the combination of the models was considered overall accurate. The APSIM-Slurp model simulated well (R² = 0.64, NSE = 0.60) the radiation interception by trees. The APSIM-Tropical Pasture model showed a good performance to simulate pasture (R² = 0.90 and NSE = 0.72), leaf (R² = 0.82 and NSE = 0.44), and stem (R² = 0.82 NSE = 0.75) biomass and an acceptable performance for pasture LAI (R² = 0.76 and NSE = 0.58). With that, a multifactorial simulation was performed to test the sensitivity of pasture production as a function of levels of nitrogen, tree leaf area index (LAI), tree root water extraction coefficient, post grazing residual biomass, and season of the year, using 39 years of weather data from the same location of the field experiment as input. The sensitivity analysis showed that the combination of the models was sensitive to variations of the factors with the greatest sensitivity occurring for the tree LAI. The assembling of APSIM-Tropical Pasture and APSIM-Slurp models well simulated pasture production in a silvopastoral system with different managements, indicating the potential of its use as a decision-making tool for silvopastoral systems´ design. MenosSilvopastoral systems integrate trees, pastures, and animals aiming for sustainable livestock production. The APSIM model has been used to simulate silvopastoral systems but the estimates of light transmission through the tree canopies, belowground water competition, and their effects on pasture production, have not been well adjusted. Thus, we improved the simulation of pasture growth within a silvopastoral system by integrating the APSIM-Tropical Pasture and APSIM-Slurps models and calibrated the coupled models to simulate light transmission through the trees along with water competition among species. Observed data was obtained from a silvopastoral system established in São Carlos, SP, Brazil, during two experimental periods that went from Dec-2014 until May-2016 and from Apr-2018 until May-2019. The calibration of the combination of the models was considered overall accurate. The APSIM-Slurp model simulated well (R² = 0.64, NSE = 0.60) the radiation interception by trees. The APSIM-Tropical Pasture model showed a good performance to simulate pasture (R² = 0.90 and NSE = 0.72), leaf (R² = 0.82 and NSE = 0.44), and stem (R² = 0.82 NSE = 0.75) biomass and an acceptable performance for pasture LAI (R² = 0.76 and NSE = 0.58). With that, a multifactorial simulation was performed to test the sensitivity of pasture production as a function of levels of nitrogen, tree leaf area index (LAI), tree root water extraction coefficient, post grazing residual biomass, and season of the y... Mostrar Tudo |
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Palavras-Chave: |
Agroforestry System; APSIM model; APSIM Slurp; ILPF; Plant Modelling Framework; Radiation Interception; Tree Crop Interactions; Tropical Pasture. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 03004naa a2200337 a 4500
001 2166349
005 2024-08-19
008 2024 bl uuuu u00u1 u #d
024 7 $a10.1016/j.eja.2024.127307$2DOI
100 1 $aBALCÃO, L. F.
245 $aPasture growth simulation and sensitivity analysis using APSIM-related models in a tropical silvopastoral system.$h[electronic resource]
260 $c2024
300 $a15 p.
520 $aSilvopastoral systems integrate trees, pastures, and animals aiming for sustainable livestock production. The APSIM model has been used to simulate silvopastoral systems but the estimates of light transmission through the tree canopies, belowground water competition, and their effects on pasture production, have not been well adjusted. Thus, we improved the simulation of pasture growth within a silvopastoral system by integrating the APSIM-Tropical Pasture and APSIM-Slurps models and calibrated the coupled models to simulate light transmission through the trees along with water competition among species. Observed data was obtained from a silvopastoral system established in São Carlos, SP, Brazil, during two experimental periods that went from Dec-2014 until May-2016 and from Apr-2018 until May-2019. The calibration of the combination of the models was considered overall accurate. The APSIM-Slurp model simulated well (R² = 0.64, NSE = 0.60) the radiation interception by trees. The APSIM-Tropical Pasture model showed a good performance to simulate pasture (R² = 0.90 and NSE = 0.72), leaf (R² = 0.82 and NSE = 0.44), and stem (R² = 0.82 NSE = 0.75) biomass and an acceptable performance for pasture LAI (R² = 0.76 and NSE = 0.58). With that, a multifactorial simulation was performed to test the sensitivity of pasture production as a function of levels of nitrogen, tree leaf area index (LAI), tree root water extraction coefficient, post grazing residual biomass, and season of the year, using 39 years of weather data from the same location of the field experiment as input. The sensitivity analysis showed that the combination of the models was sensitive to variations of the factors with the greatest sensitivity occurring for the tree LAI. The assembling of APSIM-Tropical Pasture and APSIM-Slurp models well simulated pasture production in a silvopastoral system with different managements, indicating the potential of its use as a decision-making tool for silvopastoral systems´ design.
653 $aAgroforestry System
653 $aAPSIM model
653 $aAPSIM Slurp
653 $aILPF
653 $aPlant Modelling Framework
653 $aRadiation Interception
653 $aTree Crop Interactions
653 $aTropical Pasture
700 1 $aANDREUCCI, M.
700 1 $aSNOW, V.
700 1 $aHOLZWORTH, D.
700 1 $aBRUNETTI, H. B.
700 1 $aSANTOS, M. L. DOS
700 1 $aBOSI, C.
700 1 $aPEZZOPANE, J. R. M.
700 1 $aSANTOS, P. M.
773 $tEuropean Journal of Agronomy$gv. 160, 2024, 127307.
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Embrapa Pecuária Sudeste (CPPSE) |
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| 1. |  | CUNHA, I. C. M.; REINA, A. V. S.; BOLETA, E. H. M.; PELLEGRINETTI, T. A.; ZAGATTO, L. F. G.; ZAGATTO, S. S. S.; CHAVES, M. R.; MENDES, R.; PATREZE, C. M.; TSAI, S. M.; MENDES, L. W. The interplay between the inoculation of plant growth-promoting rhizobacteria and the rhizosphere microbiome and their impact on plant phenotype. In: PLANT MICROBIOME SYMPOSIUM, 5., 2024, Amsterdam. Book of Abstracts... Amsterdam: Royal Tropical Institute, 2024. p.26. Ref. 39. Poster. p. 26| Tipo: Resumo em Anais de Congresso |
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