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Protodioscin is a saponin present in grasses that can lead to losses in animal production. Our hypothesis was that mathematical models can accurately and precisely predict the protodioscin concentration in tropical grasses. We evaluated the ability of four mathematical models to describe the protodioscin concentration in Brachiaria and Panicum cultivars with different regrowth periods. Six cultivars of Panicum : Aruana, Massai, Mombaça, Tanzânia, Tamani, and Zuri; and five of Brachiaria -grass: Marandu, Paiaguás, Piatã, Xaraés and Basilisk. Protodioscin concentration evaluations were carried out at 51, 84, 110, and 111 days of age. Linear, Quadratic, Exponential, and Logarithmic models were evaluated, and the adequacy of the models was verified. The models were compared for accuracy and precision by pairwise mean squared error analysis and the delta Akaike information criterion. The models did not differ from each other in terms of accuracy and precision. The exponential model showed a high ability to explain the observed variability between protodioscin concentration and plant age for Brachiaria grasses. Panicum grasses have constant protodioscin concentration. Mathematical models are capable of predicting the protodioscin concentration in grasses of the genus Brachiaria based on plant age. We recommend Exponential model to predict the concentration of protodioscin in Brachiaria grasses. [Display omitted] • The concentration of protodioscin in grass of genus Panicum don't change with age of plant. • Models for forecasting the concentration of protodioscin content based on your age are impractical due to the homogeneity. • All of these models demonstrated similar accuracy and precision for Brachiaria. • Exponential model is the most suitable to describe the accumulation of protodioscin in Brachiaria grasses at various ages. [ABSTRACT FROM AUTHOR]