APSIM - Tropical Pasture parameterization for biomass production, light and water competition in a silvopastoral system with B. brizantha cv. Piatã and E. urograndis

• Autor(a) principal: Balcão, Lucas Fillietaz
• Data de Publicação: 2021
• Tipo de documento: Tese
• Idioma: eng
• Título da fonte: Biblioteca Digital de Teses e Dissertações da USP
• Texto Completo: https://www.teses.usp.br/teses/disponiveis/11/11139/tde-13092021-085434/
• topic: Agroforestry system; Integração pecuária-floresta; Livestock-forest integration; Modelagem de processos; Process modelling; Sistema agroflorestal

The SSP are characterised by associating trees with herbaceous forages in the same area with the presence of animals. In general, the prognosis about productivity is correlated with meteorological variables, such as air temperature and precipitation. To estimate the productive capacity of agricultural systems, mathematical modelling can be used. The present work aims to parameterise the APSIM model (Agricultural Production Systems sIMulator) to estimate the production of forage biomass in a SSP, as well as the competition for light and water. In the first stage, a field experiment was carried out in a silvopastoral system, where microclimate data were collected, of forage production and soil moisture. The experimental design was completely randomised with repeated measures over time. Forage production was analysed in relation to microclimate variables. A multiple factor analysis (AFM) was performed to verify which micro- meteorological variables have a greater participation in the variability of the results. Based on this information, the APSIM model was parameterized in relation to the growth of forage plants. To evaluate the efficiency of the model, multiple linear regression analyses and coefficient of determination (R2), Nash-Sutclif Efficience (NSE), mean error (EM) and mean absolute error (EAM) were used. The APSIM-Slurp model simulated well the light interception (R2 = 0.64 NSE = 0.60). APSIM-Tropical Pasture model showed a good performance to simulate pasture biomass (R2 = 0.90 NSE = 0.72), leaf (R2 = 0.82 NSE = 0.44), stem (R2 = 0.82 NSE = 0.75) and an acceptable performance for pasture leaf area index (R2 = 0.76 NSE = 0.58).