Mathematical models for predicting protodioscin in tropical forage grasses

Toxicon. 2024 Jan 24;240:107628. doi: 10.1016/j.toxicon.2024.107628. Online ahead of print.ABSTRACTProtodioscin 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 Brachi...

Source: Toxicon - January 26, 2024 Category: Toxicology Authors: Juliana Caroline Santos Santana Gelson Dos Santos Difante J éssica Gomes Rodrigues Marislayne de Gusm ão Pereira Henrique Jorge Fernandes Camila Celeste Brand ão Ferreira Ítavo Vanessa Zirondi Longhini Alexandre Menezes Dias Lu ís Carlos Vinhas Ítav Source Type: research