Rafael Muñoz‐Tamayo

This paper conducts a dynamic sensitivity analysis of a rumen fermentation model to understand how AT affects CH4 and VFA production under in vitro conditions.

The paper integrates microbial abundance time series with fermentation dynamics using mathematical modeling to predict volatile fatty acid production in the rumen.

The paper develops dynamic metabolic models of F. succinogenes S85 using genome data and metabolic network reconstruction to simulate carbohydrate metabolism and metabolite production.

The paper develops a robustness proxy for fattening pigs using longitudinal energetic allocation coefficients and finds it correlates with growth and feed efficiency traits.

This paper develops a mathematical model to quantify resilience in swine during the fattening period using growth data and creates a resilience index with low heritability estimates.

The paper proposes a conceptual framework to address parameter interpretability in phenomenological-based models using a model of enzymatic degradation of β-casein.

This paper develops a dynamic model to quantify piglet robustness to weaning using body weight trajectories and haematological data, showing strong model fit and correlations with health indicators.