Evidence map›Paper›PMID 39950439›Full record

ArticleVeterinary medicine and science2025

Comparison of Nonlinear Models for Describing the Growth Curve of Pekin Ducks.

Navid Ghavi Hossein-Zadeh

Abstract readComparative Study
In one paragraph

Article in Veterinary medicine and science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Phenotypic Responses to Selection in Ross 308 Broiler Breeders: Long-Term Growth Assessed With Nonlinear Models Across Four Generations.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  3. Breeding Biology of the TwiteAnimals : an open access journal from MDPI · 2026
    Article
4 · The record

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5 · Who and what money

Authors and funding

1 author.

Navid Ghavi Hossein-ZadehDepartment of Animal Science, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran.ORCID 0000-0001-9458-5860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDucks are used to produce a significant amount of meat in some regions of the world. The enhancement of duck production systems necessitates the development of parameterized mathematical models that accurately depict duck growth, encompassing the assessment of various management and nutritional strategies.

objectiveThis research aimed to elucidate the growth trajectory of Danish and French Pekin ducks by applying nonlinear modelling techniques.

methodsA total of 10 nonlinear mathematical functions (Brody, negative exponential, logistic, Gompertz, Von Bertalanffy, Richards, Schumacher, Morgan, Lomolino and Weibull) were employed in this study. The performance of the models was systematically evaluated, and the behaviour of the models was scrutinized throughout the process of fitting nonlinear regression curves. The overall goodness-of-fit for each model to a variety of data profiles was determined through the application of the adjusted coefficient of determination, root mean square error, Akaike's information criterion and Bayesian information criterion.

resultsThe adjusted coefficient of determination values associated with each model exhibit generally elevated levels, signifying that the models demonstrate a strong overall compatibility with the data. According to the established goodness-of-fit criteria, the Gompertz model emerged as the most suitable mathematical function for accurately representing the growth trajectory of Danish and French Pekin ducks. In contrast, the Brody model exhibited the least favourable fit to the growth patterns of Danish and French Pekin ducks. Analysing the first derivative of the Gompertz model, the absolute growth rates for Danish and French Pekin ducks as a function of time indicated a progressive increase in these rates with advancing age, peaking at 23 and 24 days of age, respectively, before subsequently declining.

conclusionAn analysis of the various growth models employed in this research revealed that nonlinear functions have the ability to fit Pekin duck body weight records.

Indexed as

DucksModels, BiologicalNonlinear DynamicsAnimalsDenmarkFranceabsolute growth rateduckgrowth curvemathematical model

Identifiers

PMID39950439
PMCPMC11826326

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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.