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Related Concept Videos

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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Multiphasic poultry growth models: method and application.

M J Zuidhof1

  • 1Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.

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|November 4, 2020
PubMed
Summary

Multiphase growth models better describe poultry development than single-phase models. A triphasic Gompertz model best fit chicken growth, while a diphasic model fit turkey growth, enabling optimized animal production.

Keywords:
broiler breedergrowthlaying hennonlinear modelturkey

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Area of Science:

  • Animal Science
  • Quantitative Biology
  • Agricultural Science

Background:

  • Traditional growth modeling often uses single-phase approaches, suitable for meat-focused poultry but inadequate for reproducing animals.
  • Multiphase growth models are essential for accurately describing and predicting growth patterns in poultry raised to reproductive maturity.

Purpose of the Study:

  • To develop and evaluate multiphasic Gompertz models for describing poultry growth trajectories up to reproductive age.
  • To determine the optimal model complexity (monophasic, diphasic, or triphasic) for different poultry lines.

Main Methods:

  • Estimated coefficients for monophasic, diphasic, and triphasic Gompertz models using published body weight (BW) data from primary breeders.
  • Evaluated model fit using coefficient of determination (R²), root mean square error, and Bayesian information criterion for laying hens, broiler breeders (hens and roosters), and turkey hens.

Main Results:

  • The triphasic Gompertz model provided the best fit for all chicken lines studied (laying line hen, broiler breeder hen, and rooster).
  • The diphasic Gompertz model was identified as the most suitable model for describing turkey hen growth trajectories.
  • Model parameters offer biological relevance for hypothesis formulation and systematic evaluation of growth curves.

Conclusions:

  • Multiphase Gompertz models, particularly triphasic for chickens and diphasic for turkeys, accurately represent poultry growth to reproductive age.
  • These models provide a robust framework for optimizing poultry growth through hypothesis-driven approaches.
  • The findings support the use of advanced growth modeling for improved poultry management and breeding strategies.