Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1181621
Título: Parameterization of the APSIM-Oats model for simulating the growth of black oat cultivated for forage purposes under cut-and-carry management.
Autoria: SOUZA, D. P. de
BOSI, C.
MENDONÇA, F. C.
PEZZOPANE, J. R. M.
Afiliação: DÉBORA PANTOJO DE SOUZA, UNIVERSIDADE DE SÃO PAULO; CRISTIAM BOSI, UNIVERSIDADE FEDERAL DO PARANÁ; FERNANDO CAMPOS MENDONÇA, UNIVERSIDADE DE SÃO PAULO; JOSE RICARDO MACEDO PEZZOPANE, CPPSE.
Ano de publicação: 2025
Referência: Acta Scientiarum. agronomy, v. 47, n. 1, e69505, 2025
Conteúdo: Abstract: Studies on modeling the growth of annual crops are typically conducted for economically significant crops like soybeans, corn, and wheat. Conversely, there has been limited exploration of annual forage crops, despite their substantial importance, as they can help address forage supply shortages during periods of low production for perennial tropical forages. This study aimed to parameterize the APSIM-Oats model for simulating the growth of black oats (Avena strigosa Schreb cv. IAPAR 61 Ibiporã) cultivated for forage purposes and managed under a cut-and-carry system. Two experiments were conducted in 2018 and 2019 in Piracicaba, São Paulo State, Brazil, encompassing both irrigated and non-irrigated plots. Various productive, biometric, and soil moisture variables were monitored throughout the crop cycles. Parameters were manually calibrated through a trial-and-error process until the estimates closely matched the observed data. Model evaluation involved comparing observed and simulated data using statistical indices. The most favorable results were obtained for live biomass, leaf mass, and stem mass (with modeling efficiency exceeding 0.55 in the rainfed system and surpassing 0.34 for the irrigated system). Estimates of soil water content exhibited better accuracy for shallower soil layers (0 to 0.30 m). The calibration of the APSIM-Oats model for black oats yielded satisfactory estimates for live biomass under rainfed conditions. The simulations in this study represent an initial step in modeling the growth of black oats.
Thesagro: Forragem
Simulação
Aveia
Aveia Forrageira
NAL Thesaurus: Decision support systems
Water stress
Forage
Oats
Soil water
Biomass
Palavras-chave: Aveia-preta
APSIM-Oats
ISSN: 1807-8621
Digital Object Identifier: https://doi.org/10.4025/actasciagron.v47i1.69505
Tipo do material: Artigo de periódico
Acesso: openAccess
Aparece nas coleções:Artigo em periódico indexado (CPPSE)


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