Validation of in situ disappearance curves utilizing mathematical models for incubating fish meal and cottonseed mea

Abstract

our mathematical models were used to describe the ruminal disappearance of dry matter (DM) and crude protein (CP) of fish meal and cottonseed meal. Results of DM degradability particularity showed that all the models fitted well (R2 > 0.95), however, considering that values below 0 or above 100 are not biologically justified in ruminal degradability, they are not acceptable. The models I and II were accepted to ruminal DM degradability of fish meal and cottonseed meal data. Only models I and II were successfully fitted to CP degradability of fish meal (R2 > 0.96), and the I, II and III models were acceptable to ruminal CP degradability of cottonseed meal (R2 > 0.98). In terms of effective degradability (ED) of DM and CP, model II generated higher values than other models. To appreciate fully the role of mathematical modelling in the biological sciences, it is necessary to consider the nature of feeds that evaluated and to review the types of models that may be constructed.

Identification of Ruminal Fermentation Curves of Some Legume Forages Using Particle Swarm Optimization

“…It develops ideas about biological principles that characterize the percentage of rumen disappearance while using various models to predict nutrient degradability characteristics. These models can be used to estimate the ruminal digestion parameters of feed, which can subsequently be used to compare feeds or various nutritional systems [ 7 ].…”

“…Different nutritional sciences utilize modeling to explain various phenomena and express connections among the components that affect a biological process [ 7 ]. There are numerous methods for estimating feed-quality proportions; however, the detailed studies of biological processes could offer valuable insight into the dynamics of biological processes and reveal their other dimensions [ 8 , 9 ].…”

In situ ruminal degradation of sallow tree leaves using different mathematical models

“…Los datos de degradabilidad de MS y PC se ajustaron a cada modelo mediante regresión no lineal utilizando el procedimiento de Levenberg-Marquardt de MATLAB (2019). En la actualidad, los métodos de optimización se utilizan ampliamente en diversas ciencias (12,13); Para ello, se utilizó la caja de herramientas de ajuste de curvas de MATLAB y el algoritmo numérico basado en el método Levenberg-Marquardt. Los modelos se identificaron mediante el tooltript del editor y se definieron los puntos de partida y rangos requeridos para los modelos.…”