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A Holistic Approach to Evaluating Linear and Non-Linear Mixed Models to Predict Phosphorus Retention in Growing and Finishing Pigs.
Powell, Christopher D; Ellis, Jennifer L; Dias, Raquel S; López, Secundino; France, James.
Affiliation
  • Powell CD; Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • Ellis JL; Trouw Nutrition, Puslinch, ON N0B 2J0, Canada.
  • Dias RS; Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • López S; Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • France J; Departamento de Producción Animal, Universidad de León, 24007 León, Spain.
Animals (Basel) ; 12(13)2022 Jun 22.
Article in En | MEDLINE | ID: mdl-35804510
ABSTRACT
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 BW0.75 d-1 for avP, and 0.151 to 0.806 g kg-1 BW0.75 d-1 for total P, with P retention ranging from 0.026 to 0.329 g kg-1 BW0.75 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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Animals (Basel) Year: 2022 Document type: Article Affiliation country: Canadá

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Animals (Basel) Year: 2022 Document type: Article Affiliation country: Canadá