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Growth curve analyses in poultry science

Published online by Cambridge University Press:  02 March 2017

D. NARINÇ ,
N. ÖKSÜZ NARINÇ  and
A. AYGÜN
D. NARINÇ*
Affiliation:
Faculty of Veterinary Medicine, Department of Genetics, Namık Kemal University, Turkey
N. ÖKSÜZ NARINÇ
Affiliation:
Vocational School of Social Sciences, Namık Kemal University, Turkey
A. AYGÜN
Affiliation:
Faculty of Agriculture, Department of Animal Science, Selçuk University, Turkey
*
Corresponding author: dnarinc@nku.edu.tr
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Abstract

Growth is a key characteristic of animals and can be defined as any change in body size per time unit, and is influenced by genotype and environment. Mathematical functions called ‘growth models’ have been used to explain the growth patterns of poultry species. These semi-mechanistic growth models have a non-linear structure, sigmoid shape, and certain biologically meaningful parameters. In poultry science, Gompertz, Logistic, Richards and von Bertalanffy functions have been commonly used to model the growth patterns of birds. In this review, the studies concerned have been summarised under the titles ‘determination of the best-fitting growth model’, ‘a comparison of the growth of poultry species or various experimental groups’, and ‘genetic parameter estimates for growth curve parameters’. This review discusses existing and new approaches to growth modelling.

Keywords

growthgrowth functionspoultry speciesmechanistic modelling
Type
Reviews
Information
World's Poultry Science Journal , Volume 73 , Issue 2 , June 2017 , pp. 395 - 408
Copyright
Copyright © World's Poultry Science Association 2017 

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