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| 4. |  | KLAIN, R. G.; PEZZOPANE, J. R. M. Desenvolvimento de softwares para processamento de dados climáticos obtidos em estações meteorológicas automáticas. In: JORNADA CIENTÍFICA DA EMBRAPA SÃO CARLOS, 9., 2017, São Carlos, SP. Anais... São Carlos, SP: Embrapa Pecuária Sudeste; Embrapa Instrumentação, 2017. p. 60. (Embrapa Pecuária Sudeste. Documentos, 126). Editores técnicos: Alexandre Berndt, Ana Rita Araujo Nogueira, Bianca Baccili Zanotto Vigna, Juliana Gonçalves Costa, Lea Chapaval, Manuel Antonio Chagas Jacinto, Patricia Menezes Santos.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 12. | | SANTOS, P. M.; EVANGELISTA, S. R. M.; PEZZOPANE, J. R. M. (ed.). Cenários agrícolas futuros para pastagens no Brasil. São Carlos: Embrapa Pecuária Sudeste, 2014. 39 p. (Embrapa Pecuária Sudeste. Documentos, 114). AUTORES: PATRICIA MENEZES SANTOS - PESQUISADORA DA EMBRAPA PECUÁRIA SUDESTE, SÃO CARLOS, SP; SILVIO ROBERTO MEDEIROS EVANGELISTA, PESQUISADOR DA EMBRAPA INFORMÁTICA; JOSÉ RICARDO MACEDO PEZZOPANE, PESQUISADOR DA EMBRAPA PECUÁRIA SUDESTE,...| Biblioteca(s): Embrapa Gado de Leite; Embrapa Pecuária Sudeste; Embrapa Semiárido. |
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| 17. | | GUERFE, L.; OLIVEIRA, P. P. A.; PEZZOPANE, J. R. M.; BERNARDI, A. C. de C. Avaliação da qualidade química do solo em sistemas de integração lavoura pecuária floresta. In: JORNADA CIENTÍFICA DA EMBRAPA SÃO CARLOS, 14., 2022, São Carlos, SP. Anais... São Carlos, SP: Embrapa Instrumentação; Embrapa Pecuária Sudeste, 2022. p. 42. (Embrapa Instrumentação. Documentos, 73).| Biblioteca(s): Embrapa Pecuária Sudeste. |
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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: |
31/03/2022 |
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Data da última atualização: |
31/03/2022 |
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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: |
SOUZA, D. P. de; MENDONÇA, F. C.; BOSI, C.; PEZZOPANE, J. R. M.; SANTOS, P. M. |
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Afiliação: |
DÉBORA PANTOJO DE SOUZA, USP-ESALQ; FERNANDO CAMPOS MENDONÇA, USP-ESALQ; CRISTIAM BOSI, CNPQ; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; PATRICIA MENEZES SANTOS, CPPSE. |
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Título: |
APSIM-Tropical Pasture model parameterization for simulating Marandu palisade grass growth and soil water in irrigated and rainfed cut-and-carry systems. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Grass and Forage Science, mar. 2022. |
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Páginas: |
16 p. |
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DOI: |
https://doi.org/10.1111/gfs.12560 |
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Idioma: |
Inglês |
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Conteúdo: |
Process-based models such as the Agricultural Production Systems Simulator (APSIM) can be useful to simulate pasture growth and development. This aim of the study is to parameterise the APSIM-Tropical Pasture model to simulate Marandu palisade grass (Urochloa brizantha cv. Marandu), irrigated and rainfed, under cut-and-carry management. Parameterisation was performed with experimental data collected in Piracicaba, SP, Brazil (Experiment 1: 11 growth cycles), and São Carlos, SP, Brazil (Experiment 2: 9 growth cycles). In both experiments, aboveground live biomass, leaf, stem, crown and dead material mass, specific leaf area (SLA), leaf area index (LAI) and height were assessed. In Experiment 1, soil water content was measured with a capacitance probe, at depths from 0 to 0.9 m. Calibration was performed for base temperature, light extinction coefficient and radiation use efficiency. The calibrated model proved to be accurate in simulating living biomass, leaf mass, LAI and height for all tested variables. In the irrigated system, the statistics presented values between 0.64 and 0.86 for coefficient of determination (R2), between 0.59 and 0.70 for efficiency coefficient (NSE) and between 0.88 and 0.95 for the Willmott?s agreement index (d). For these same variables, in the rainfed system, R2 values ranged from 0.70 to 0.86; NSE from 0.54 to 0.70; and average d was 0.93. The simulation of soil water content showed satisfactory results for rainfed pasture, but was less precise for the irrigated treatment. The calibration of the APSIM-Tropical Pasture model for Marandu palisade grass resulted in efficient simulations of pasture growth under cut-and-carry management. MenosProcess-based models such as the Agricultural Production Systems Simulator (APSIM) can be useful to simulate pasture growth and development. This aim of the study is to parameterise the APSIM-Tropical Pasture model to simulate Marandu palisade grass (Urochloa brizantha cv. Marandu), irrigated and rainfed, under cut-and-carry management. Parameterisation was performed with experimental data collected in Piracicaba, SP, Brazil (Experiment 1: 11 growth cycles), and São Carlos, SP, Brazil (Experiment 2: 9 growth cycles). In both experiments, aboveground live biomass, leaf, stem, crown and dead material mass, specific leaf area (SLA), leaf area index (LAI) and height were assessed. In Experiment 1, soil water content was measured with a capacitance probe, at depths from 0 to 0.9 m. Calibration was performed for base temperature, light extinction coefficient and radiation use efficiency. The calibrated model proved to be accurate in simulating living biomass, leaf mass, LAI and height for all tested variables. In the irrigated system, the statistics presented values between 0.64 and 0.86 for coefficient of determination (R2), between 0.59 and 0.70 for efficiency coefficient (NSE) and between 0.88 and 0.95 for the Willmott?s agreement index (d). For these same variables, in the rainfed system, R2 values ranged from 0.70 to 0.86; NSE from 0.54 to 0.70; and average d was 0.93. The simulation of soil water content showed satisfactory results for rainfed pasture, but was less precise f... Mostrar Tudo |
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Palavras-Chave: |
Crop model; Soil moisture. |
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Thesaurus NAL: |
Forage; Irrigation; Urochloa brizantha. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02471naa a2200253 a 4500
001 2141651
005 2022-03-31
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/gfs.12560$2DOI
100 1 $aSOUZA, D. P. de
245 $aAPSIM-Tropical Pasture model parameterization for simulating Marandu palisade grass growth and soil water in irrigated and rainfed cut-and-carry systems.$h[electronic resource]
260 $c2022
300 $a16 p.
520 $aProcess-based models such as the Agricultural Production Systems Simulator (APSIM) can be useful to simulate pasture growth and development. This aim of the study is to parameterise the APSIM-Tropical Pasture model to simulate Marandu palisade grass (Urochloa brizantha cv. Marandu), irrigated and rainfed, under cut-and-carry management. Parameterisation was performed with experimental data collected in Piracicaba, SP, Brazil (Experiment 1: 11 growth cycles), and São Carlos, SP, Brazil (Experiment 2: 9 growth cycles). In both experiments, aboveground live biomass, leaf, stem, crown and dead material mass, specific leaf area (SLA), leaf area index (LAI) and height were assessed. In Experiment 1, soil water content was measured with a capacitance probe, at depths from 0 to 0.9 m. Calibration was performed for base temperature, light extinction coefficient and radiation use efficiency. The calibrated model proved to be accurate in simulating living biomass, leaf mass, LAI and height for all tested variables. In the irrigated system, the statistics presented values between 0.64 and 0.86 for coefficient of determination (R2), between 0.59 and 0.70 for efficiency coefficient (NSE) and between 0.88 and 0.95 for the Willmott?s agreement index (d). For these same variables, in the rainfed system, R2 values ranged from 0.70 to 0.86; NSE from 0.54 to 0.70; and average d was 0.93. The simulation of soil water content showed satisfactory results for rainfed pasture, but was less precise for the irrigated treatment. The calibration of the APSIM-Tropical Pasture model for Marandu palisade grass resulted in efficient simulations of pasture growth under cut-and-carry management.
650 $aForage
650 $aIrrigation
650 $aUrochloa brizantha
653 $aCrop model
653 $aSoil moisture
700 1 $aMENDONÇA, F. C.
700 1 $aBOSI, C.
700 1 $aPEZZOPANE, J. R. M.
700 1 $aSANTOS, P. M.
773 $tGrass and Forage Science, mar. 2022.
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