Mathematical models to adjust the parameters of in vitro cumulative gas production of diets containing preserved Gliricidia
| Autor: | Antonio Leandro Chaves Gurgel, Jucileia Aparecida da Silva Morais, Juliana Caroline Santos Santana, Gelson dos Santos Difante, João Virgínio Emerenciano Neto, Luís Carlos Vinhas Ítavo, Camila Celeste Brandão Ferreira Ítavo, Vinícius da Silva Oliveira, Maria Juciara Silva Teles Rodrigues |
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| Jazyk: | English<br />Portuguese |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Ciência Rural, Vol 51, Iss 11 (2021) |
| Druh dokumentu: | article |
| ISSN: | 1678-4596 0103-8478 |
| DOI: | 10.1590/0103-8478cr20200993 |
| Popis: | ABSTRACT: This study examined the use of the Gompertz, Groot, monomolecular, Richards and two-compartment-logistic mathematical models to investigate the kinetics of in vitro gas production of diets composed of combinations of Gliricidia hay or silage. In addition, the effects of Gliricidia hay or silage inclusion on the in vitro cumulative gas production of these diets were evaluated. Rumen fermentation kinetics were analyzed by the in vitro cumulative gas production methodology. The model parameters were estimated using the Gauss Newton method, with the exception of the Richards model, which was used by Marquardt’s algorithm. Model fit was assessed using the determination coefficient, F test for parameters identity, concordance correlation coefficient, root mean square error of prediction, and decomposition of mean square error of prediction into mean error, systematic bias and random error. The models were compared for accuracy (pairwise mean square error of prediction) and precision (delta Akaike’s information criterion). All model evaluation and comparison statistics were calculated using Model Evaluation System software version 3.2.2. The Groot and Richards models did not differ from each other (P>0.05) and were the most precise and accurate (P |
| Databáze: | Directory of Open Access Journals |
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