Mathematical models to adjust the parameters of in vitro cumulative gas production of diets containing preserved Gliricidia
| Autor: | Maria Juciara Silva Teles Rodrigues, Gelson dos Santos Difante, Camila Celeste Brandão Ferreira Ítavo, Antonio Leandro Chaves Gurgel, João Virgínio Emerenciano, Jucileia Aparecida da Silva Morais, Luís Carlos Vinhas Ítavo, Juliana Caroline Santos Santana, Vinicius da Silva Oliveira |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Accuracy and precision Groot model Mean squared error Silage Agriculture (General) Gompertz function feno 01 natural sciences Gliricidia S1-972 hay F-test fermentation kinetics Statistics Mathematics cinética de fermentação General Veterinary biology funções não-lineares non-linear functions 0402 animal and dairy science Agriculture 04 agricultural and veterinary sciences modelo de Groot biology.organism_classification 040201 dairy & animal science silagem Concordance correlation coefficient Animal Science and Zoology Akaike information criterion silage Agronomy and Crop Science 010606 plant biology & botany |
| Zdroj: | Ciência Rural, Vol 51, Iss 11 (2021) Ciência Rural, Volume: 51, Issue: 11, Article number: e20200993, Published: 07 JUL 2021 Ciência Rural v.51 n.11 2021 Ciência Rural Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
| ISSN: | 1678-4596 |
| Popis: | 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 (P0.05) e foram os mais precisos e acurados (P |
| Databáze: | OpenAIRE |
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