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A Holistic Approach to Evaluating Linear and Non-Linear Mixed Models to Predict Phosphorus Retention in Growing and Finishing Pigs.

Christopher D PowellJennifer L EllisRaquel S DiasSecundino LópezJames France
Published in: Animals : an open access journal from MDPI (2022)
The ability of four non-linear mixed models and one linear mixed model to describe phosphorus (P) retention as a function of dietary P intake, expressed on an available P (avP) basis, was assessed in growing and finishing pigs. Of the four non-linear models, the monomolecular and Michaelis-Menten describe diminishing returns behaviour, while the Richards and Morgan describe sigmoidal behaviour with the ability to also describe diminishing returns. Using a meta-analysis approach, models were fitted to avP intake vs. P retention data from P balance studies. Pig bodyweights (BW) ranged from 43.5 to 133 kg, P intake ranged from 0.055 to 0.468 g kg -1 BW 0.75 d -1 for avP, and 0.151 to 0.806 g kg -1 BW 0.75 d -1 for total P, with P retention ranging from 0.026 to 0.329 g kg -1 BW 0.75 d -1 . Models were evaluated using statistical measures of goodness-of-fit and inspection of residuals. The monomolecular and Michaelis-Menten best described the relationship between P retention and P intake. Endogenous P losses and P requirement for maintenance were found to be higher in finishing pigs compared to growing pigs as BW increased.
Keyphrases
  • machine learning
  • risk assessment
  • body mass index
  • data analysis