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Egg production curve analyses in poultry science

Published online by Cambridge University Press:  13 November 2014

D. NARINC ,
F. UCKARDES  and
E. ASLAN
D. NARINC*
Affiliation:
Department of Genetics, Faculty of Veterinary Medicine, University of Namik Kemal, Turkey
F. UCKARDES
Affiliation:
Department of Biostatistics and Medical Informatics, University of Adiyaman, Turkey
E. ASLAN
Affiliation:
Department of Biostatistics and Medical Informatics, University of Adiyaman, Turkey
*
Corresponding author: dnarinc@nku.edu.tr
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Abstract

This review covers the egg production models used in poultry. Similarities and discrepancies among the models are illustrated using a real data obtained from a layer breeder flock. Egg laying in poultry begins at sexual maturity and quickly reaches peak production, and then declines with hen age. For many years, egg production studies have been carried out for the purpose of modelling. Some of the functions were developed for this purpose, such as nonlinear regression equations (Gamma, McNally, McMillan, Adams-Bell, Compartmental, Modified Compartmental, logistic-curvilinear, Gloor, Lokhorst, Narushin-Takma) and some Multiphasic (Segmented Polynomial, Persistency, Individual). Almost all of these functions have been developed to allow modelling on the basis of flock averages. Most models having empirical structure and a small number of parameters are considered biologically meaningful. New models are currently required to be useful for both individual egg yields and to contain biologically relevant parameters.

Keywords

egg productionegg production functionsnonlinear regressionmultiphasic modellingmechanistic modelling
Type
Review Article
Information
World's Poultry Science Journal , Volume 70 , Issue 4 , December 2014 , pp. 817 - 828
Copyright
Copyright © World's Poultry Science Association 2014 

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