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Related Experiment Video

Updated: Feb 19, 2026

In Ovo Feeding of Commercial Broiler Eggs: An Accurate and Reproducible Method to Affect Muscle Development and Growth

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Published on: September 20, 2021

A sinusoidal function and the Nelder-Mead simplex algorithm applied to growth data from broiler chickens.

H Darmani Kuhi¹, A Shabanpour¹, A Mohit¹

¹Department of Animal Science, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran.

Poultry Science

|November 10, 2017

Summary

A new sinusoidal growth function accurately models broiler chicken growth dynamics. This mathematical approach, combined with direct search optimization, offers superior performance compared to standard growth models.

Keywords:

Growth functions Nelder-Mead algorithm broilers sinusoidal equation

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Area of Science:

Poultry Science
Mathematical Biology
Animal Growth Modeling

Background:

Accurate mathematical models are crucial for understanding poultry growth dynamics.
Existing growth functions may not fully capture the complexities of broiler chicken development.

Purpose of the Study:

To introduce and evaluate a novel sinusoidal growth function for analyzing poultry growth.
To compare the performance of the sinusoidal function against established growth models.
To assess the efficacy of a global optimization method for parameter estimation.

Main Methods:

Development of a sinusoidal function to model growth over time.
Comparison with Gompertz, logistic, Lopez, and Richards growth functions.
Application of a direct search global optimization method for parameter estimation.

Main Results:

The sinusoidal function accurately described broiler chicken growth dynamics.
The direct search method proved effective for parameter estimation.
The sinusoidal model consistently yielded higher or equal log-likelihood values, indicating superior fit.

Conclusions:

The sinusoidal growth function is a precise and effective tool for modeling broiler chicken growth.
The direct search optimization method is well-suited for estimating parameters in growth models.
This novel approach offers an advancement in the mathematical analysis of poultry growth.