Proposal of a non-linear model to adjust in vitro gas production at different incubation times

This work aims to propose a new model named Gompertz-Von Bertalanffy bicompartmental (GVB), combination of the models Gompertz and Von Bertalanffy. The GVB is applied fit kinetic curve cumulative gas production (CGP) four foods (SS – sunflower silage; CS corn mixtures 340SS 660 gkg-1 silage 340 660SS silage). compared Logistic-Von (LVB) logistic (BL). All process studied employed semi-automatic “in vitro” technique producing gases used in ruminant nutrition. readout was performed at times 2, 4, 6, 8, 10, 12, 15, 19, 24, 30, 48, 72, 96 h. data generated were estimate models’ parameters by least squared method with iterative Gauss-Newton process. quality verified using adjusted coefficient determination criterion (), mean residual square (MRS), Akaike information (AIC), absolute deviation (MAD). Among analyzed models, LVB presented best evaluators for CS. In contrast, showed better describe CGP over time 340SS, 660SS, SS, presenting highest values () lowest MSR, AIC, MAD.