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Relationships between models and data in growing poultry.

G C Emmans¹, R M Gous²

¹Animal Breeding and Genomics, Scotland's Rural College (SRUC), Edinburgh, UK.

British Poultry Science

|April 16, 2025

Summary

This summary is machine-generated.

This study introduces a Gompertz function to model animal growth, accurately describing inherited growth potential and identifying data errors. The function aids in understanding broiler body composition for optimized feeding strategies.

Keywords:

Gompertz allometry body composition growth potential

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Area of Science:

Animal Science
Mathematical Biology
Quantitative Genetics

Background:

Defining growth functions requires considering growth rate, weight variability, and mature weight limits.
Logarithmic transformation of weight (lnW) is often necessary due to proportional standard deviation.
The Gompertz function offers a robust mathematical framework for modeling biological growth patterns.

Purpose of the Study:

To define and solve the problem of relating the rate of change in lnW over time to lnW itself.
To propose and validate a Gompertz function for describing inherited post-hatching growth potential in domestic birds.
To explore the utility of the Gompertz function in assessing data accuracy and extending growth models to chemical and physical components.

Main Methods:

Development of a growth function based on three rules: growth rate dependence on weight, proportional standard deviation of weight, and an upper weight limit.
Application of a fourth rule to simplify the relationship between d(lnW)/dt and lnW, leading to the Gompertz equation.
Testing the Gompertz function with empirical data, including chemical body composition of broiler chickens (Cobb 700 strain).

Main Results:

The Gompertz function, d(lnW)/dt = B * ln(A/W), was identified as a solution, where B is the maturing rate parameter and A is mature weight.
The function successfully described the inherited growth potential of domestic birds.
For male Cobb 700 broilers, mature weights (A) for protein, water, lipid, and ash were determined, with a common Gompertz rate parameter (B) of 0.0410/d.

Conclusions:

The proposed Gompertz function accurately models inherited growth potential in domestic birds.
The model can be used to evaluate data quality and identify potential errors in growth studies.
Chemical body composition models derived from this function can inform calculations for nutrient requirements and optimal feeding strategies in broilers.