Objective: To calibrate two non-linear models, in three intermediate triple hybrids, by theoretically comparing the accumulation of dry matter in relation to the days after sowing (das).Methodology: The cuts were made every 14 days, from 30 to 170 days after sowing, and were adjusted to the Logistic and Richards models. The experimental design was a randomized block, with three replications.Results: The models explained most (83%) of the total variability of dry matter (DM) yield in maize observed in the field. The best fit model was the Logistic model (cultivar AN447) and the Richards model (cultivar A7573), both with R20.98. The maximum yield simulated with the Richards model was observed in AN447 (22,616 kg DM ha1) and the lowest in AN388 (10,970 kg DM ha1).Limitations/Implications: The results can only be applied to the study case, as a consequence of the limitations imposed by the variety, climate, and soil conditions. Therefore, no general explanation can be developed and the conclusions should be treated with caution.Conclusion: The Logistic model enables a more precise simulation of the dry matter yield in maize, using the days after sowing as an independent variable.
