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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
05/11/2025 |
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Data da última atualização: |
05/11/2025 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOUZA, D. P. de; BOSI, C.; MENDONÇA, F. C.; PEZZOPANE, J. R. M.; FEITOSA, T. S.; OJEDA, J. J. |
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Afiliação: |
DÉBORA PANTOJO DE SOUZA, UNIVERSIDADE FEDERAL DA GRANDE DOURADOS; CRISTIAM BOSI, UNIVERSIDADE FEDERAL DO PARANÁ; FERNANDO CAMPOS MENDONÇA, UNIVERSIDADE DE SÃO PAULO; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; TIBÉRIO SOUSA FEITOSA, FUNDAÇÃO CEARENSE DE APOIO AO DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO; JONATHAN JESUS OJEDA, UNIVERSITY OF SOUTHERN QUEENSLAND. |
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Título: |
Structuring and parameterizing a model for simulating annual ryegrass growth. |
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Ano de publicação: |
2025 |
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Fonte/Imprenta: |
European Journal of Agronomy, v. 170, 127735, 2025. |
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ISSN: |
1873-7331 |
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DOI: |
https://doi.org/10.1016/j.eja.2025.127735 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Annual ryegrass is a valuable winter forage crop globally. Simulation studies for winter forage crops are limited, highlighting the need for a crop-specific model to improve precision and accuracy in estimating yields, particularly in cut-and-carry systems. This study aimed to develop a model for the annual ryegrass crop using the APSIM platform. For this purpose, two growing seasons were conducted in different years in Piracicaba, Brazil, using the cultivar BRS Ponteio under irrigation and rainfed conditions in 2018 and 2019. This study calibrated the parameters of the organs, phenology, the fraction of structural partitioning, senescence rate, and leaf residence time. The data of plant and soil water variables observed versus estimated by the model was evaluated by calculating statistical indices. The APSIM-Annual Ryegrass model efficiently estimated total and live forage mass of annual ryegrass under both irrigated and rainfed conditions, with accuracy ranging from acceptable to very good (CCC between 0.71 and 0.91, and NSE between 0.51 and 0.84), and low errors (RMSE between 36.58 and 62.52 g m−2) in cut-and-carry management. The model better simulated the total forage mass, live forage mass, leaf mass, and stem mass under irrigation conditions. Soil water dynamics were satisfactorily simulated in both irrigated and rainfed conditions in the layer from 0 to 0.70 m (CCC from 0.73 to 0.86, and NSE from 0.52 to 0.60). The APSIM- Annual Ryegrass model efficiently estimated the total and live forage mass and the soil water dynamics. MenosAbstract: Annual ryegrass is a valuable winter forage crop globally. Simulation studies for winter forage crops are limited, highlighting the need for a crop-specific model to improve precision and accuracy in estimating yields, particularly in cut-and-carry systems. This study aimed to develop a model for the annual ryegrass crop using the APSIM platform. For this purpose, two growing seasons were conducted in different years in Piracicaba, Brazil, using the cultivar BRS Ponteio under irrigation and rainfed conditions in 2018 and 2019. This study calibrated the parameters of the organs, phenology, the fraction of structural partitioning, senescence rate, and leaf residence time. The data of plant and soil water variables observed versus estimated by the model was evaluated by calculating statistical indices. The APSIM-Annual Ryegrass model efficiently estimated total and live forage mass of annual ryegrass under both irrigated and rainfed conditions, with accuracy ranging from acceptable to very good (CCC between 0.71 and 0.91, and NSE between 0.51 and 0.84), and low errors (RMSE between 36.58 and 62.52 g m−2) in cut-and-carry management. The model better simulated the total forage mass, live forage mass, leaf mass, and stem mass under irrigation conditions. Soil water dynamics were satisfactorily simulated in both irrigated and rainfed conditions in the layer from 0 to 0.70 m (CCC from 0.73 to 0.86, and NSE from 0.52 to 0.60). The APSIM- Annual Ryegrass model efficiently e... Mostrar Tudo |
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Palavras-Chave: |
Annual ryegrass; Italian ryegrass; Lolium multiflorum Lam. |
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Thesaurus Nal: |
Soil water balance. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02334naa a2200253 a 4500
001 2181185
005 2025-11-05
008 2025 bl uuuu u00u1 u #d
022 $a1873-7331
024 7 $ahttps://doi.org/10.1016/j.eja.2025.127735$2DOI
100 1 $aSOUZA, D. P. de
245 $aStructuring and parameterizing a model for simulating annual ryegrass growth.$h[electronic resource]
260 $c2025
520 $aAbstract: Annual ryegrass is a valuable winter forage crop globally. Simulation studies for winter forage crops are limited, highlighting the need for a crop-specific model to improve precision and accuracy in estimating yields, particularly in cut-and-carry systems. This study aimed to develop a model for the annual ryegrass crop using the APSIM platform. For this purpose, two growing seasons were conducted in different years in Piracicaba, Brazil, using the cultivar BRS Ponteio under irrigation and rainfed conditions in 2018 and 2019. This study calibrated the parameters of the organs, phenology, the fraction of structural partitioning, senescence rate, and leaf residence time. The data of plant and soil water variables observed versus estimated by the model was evaluated by calculating statistical indices. The APSIM-Annual Ryegrass model efficiently estimated total and live forage mass of annual ryegrass under both irrigated and rainfed conditions, with accuracy ranging from acceptable to very good (CCC between 0.71 and 0.91, and NSE between 0.51 and 0.84), and low errors (RMSE between 36.58 and 62.52 g m−2) in cut-and-carry management. The model better simulated the total forage mass, live forage mass, leaf mass, and stem mass under irrigation conditions. Soil water dynamics were satisfactorily simulated in both irrigated and rainfed conditions in the layer from 0 to 0.70 m (CCC from 0.73 to 0.86, and NSE from 0.52 to 0.60). The APSIM- Annual Ryegrass model efficiently estimated the total and live forage mass and the soil water dynamics.
650 $aSoil water balance
653 $aAnnual ryegrass
653 $aItalian ryegrass
653 $aLolium multiflorum Lam
700 1 $aBOSI, C.
700 1 $aMENDONÇA, F. C.
700 1 $aPEZZOPANE, J. R. M.
700 1 $aFEITOSA, T. S.
700 1 $aOJEDA, J. J.
773 $tEuropean Journal of Agronomy$gv. 170, 127735, 2025.
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