Evidence map›Paper›PMID 42307805›Full record

SynthesisTropical animal health and production2026

Comparative analysis of non-linear growth model fit in chicken growth: a systematic review.

Kholofelo Mogalanyane Thankge, Joas Albino Tsenane, Kwena Mokoena, Prudence Shibe Mokgapa, Madumetja Cyril Mathapo, Thobela Louis Tyasi

Abstract readComparative StudySystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Tropical animal health and production, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Kholofelo Mogalanyane ThankgeDepartment of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga, Limpopo, 0727, South Africa.
Joas Albino TsenaneDepartment of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga, Limpopo, 0727, South Africa.
Kwena MokoenaDepartment of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga, Limpopo, 0727, South Africa.
Prudence Shibe MokgapaDepartment of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga, Limpopo, 0727, South Africa.
Madumetja Cyril MathapoDepartment of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga, Limpopo, 0727, South Africa.
Thobela Louis TyasiDepartment of Agricultural Economics and Animal Production, University of Limpopo, Private Bag X1106, Sovenga, Limpopo, 0727, South Africa. louis.tyasi@ul.ac.za.ORCID http://orcid.org/0000-0002-3519-7806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimation growth curve is a critical aspect of chicken production, influencing management decisions and optimization of growth rates. The poultry industry struggles to make effective decisions on feed management, growth rate, and slaughter age, which are key factors influencing productivity and profitability. Thus, the aim of this systematic review was to identify the most suitable non-linear model for estimating growth curves in chickens. A literature search was conducted using population, exposure, and outcome (PEO) framework. A total number of 49 articles were included in the review following PRISMA guideline and were published between 1995 and 2024. Databases such as Google Scholar, ScienceDirect, PubMed, and Web of Science, with the combination of the following keywords: chickens OR 'Gallus gallus' OR hens OR cocks OR chicks, AND 'growth curve' OR 'growth patterns' OR 'growth parameters', AND 'non-linear models' OR 'non-linear mathematical models' OR 'non-linear statistical models' were used. The results showed that Logistic model was the most used (n = 44) non-linear model, followed by Gompertz model (n = 43) and the von Bertalanffy model (n = 31). Gompertz, and Weibull models provided the best fit for estimation of chicken growth curves, with high coefficients of determination (R² = 1.00). The Gompertz, and Weibull non-linear models are recommended for estimating chicken growth curves to support breed selection, optimize slaughter age and reduce cost.

Indexed as

ChickensAnimal HusbandryAnimalsModels, BiologicalNonlinear DynamicsBody weightGallus gallusGompertzGrowth patternsLogisticWeibull

Identifiers

PMID42307805
PMCPMC13285414

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.