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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: [email protected]
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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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References

ADAMS, C.J. and BELL, D.D. (1980) Predicting poultry egg production. Poultry Science 59: 937-938.Google Scholar
AGGREY, S.E. (2002) Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poultry Science 81: 1782-1788.Google Scholar
AGGREY, S.E., NICHOLS, C.R. and CHENG, K.M. (1993) Multiphasic analysis of egg production in Japanese quail. Poultry Science 72: 2185-2192.Google Scholar
ANONYMOUS (2013) Shaver white parent stock production performance. Shaver Poultry Breeding Farms Ltd., Cambridge, ON, Canada. www.isapoultry.com.Google Scholar
ATTA, M., ELJACK, B.H. and El OBIED, A.A. (2010) Use of mathematical modelling to evaluate production performance of some commercial layer strains under Khartoum State conditions (Sudan). Animal science Journal 1: 19-22.Google Scholar
CASON, J.A. (1990) Comparison of linear and curvilinear decreasing terms in logistic flock egg production models. Poultry Science 69: 1467-1470.Google Scholar
CASON, J.A. and BRITTON, W.M. (1988) Comparison of compartmental and Adams-Bell models of poultry egg production. Poultry Science 67: 213-218.Google Scholar
CASON, J.A. and WARE, G.O. (1990) Analysis of flock egg production curves using generalized growth functions. Poultry Science 69: 1054-1069.Google Scholar
CONGLETON, W.R., CHAMBERLAIN, J.T., MUIR, F.V. and HAWES, R.O. (1981) Limitations of using the incomplete gamma function to generate egg production curves. Poultry Science 60: 689-691.Google Scholar
DARMANI KUHI, H., PORTER, T., LOPEZ, S., KEBREAB, E., STRATHE, A.B., DUMAS, A., DIJKSTRA, J. and FRANCE, J. (2010) A review of mathematical functions for the analysis of growth in poultry. World's Poultry Science Journal 66: 227-239.CrossRefGoogle Scholar
FARIDI, A., MOTTAGHITALAB, M., REZAEE, F. and FRANCE, J. (2011) Narushin-Takma model as flexible alternatives for describing economic traits in broiler breeder flocks. Poultry Science, 90: 507-515.Google Scholar
FIALHO, F.B. and LEDUR, M.C. (1997) Segmented polynomial model for estimation of egg production curves in laying hens. British Poultry Science 38: 66-73.Google Scholar
FIALHO, F.B. LEDUR, M.C. and AVILA, V.S. (2001) Método para comparar curva de produção de ovos usando um modelo matemático. Embrapa Suínos e Aves Relatório Técnico 293: 1-4.Google Scholar
FRANCE, J. and DIJKSTRA, J. (2006) Scientific progress and mathematical modelling: Different approaches to modelling animal systems, in: GOUS, R., FISHER, C. & MORRIS, T.R. (Eds) Mechanistic Modelling in Pig and Poultry Production, pp. 6-22 (CAB International, New York).Google Scholar
GAVORA, J.S., LILJEDAH, L.E., MCMILLAN, L.I. and AHLEN, K. (1982) Comparison of three mathematical models of egg production. British Poultry Science 23: 339-348.Google Scholar
GAVORA, J.S., PARKER, R.J. and MCMILLAN, I. (1971) Mathematical model of egg production. Poultry Science 50: 1306-1315.Google Scholar
GLOOR, A. (1997) Mathematische schätzung der eiproduktion vo legeherden mit und ohne mauser. Archiv fur Geflugelkunde 61: 186-190.Google Scholar
GROSSMAN, M., GOSSMAN, T.N. and KOOPS, W.J. (2000) A model for persistency of egg production. Poultry Science 79: 1715-1724.Google Scholar
GROSSMAN, M. and KOOPS, W.J. (2001) A model for individual egg production in chickens. Poultry Science 80: 859-867.Google Scholar
KLOMP, H. (1970) The determination of clutch-size in birds: a review. Ardea 58: 1-124.Google Scholar
KOOPS, W.J. and GROSSMAN, M. (1992) Characterization of poultry egg production using a multiphasic approach. Poultry Science 71: 399-405.Google Scholar
LOKHORST, C. (1996) Mathematical curves for the description of input and output variables of the daily production process in aviary housing systems for laying hens. Poultry Science 75: 838-848.Google Scholar
MCMILLAN, I. (1981) Compartmental model analysis of poultry egg production curves. Poultry Science 60: 1549-1551.Google Scholar
MCMILLAN, I., FITZ-EARLE, M. and ROBSON, D.S. (1970) Quantitative genetics of fertility I. Lifetime egg production of Drosophila melanogasler-experimental. Genetics 65: 355-369.Google Scholar
MCMILLAN, I., GOWE, R.S., GAVORA, J.S. and FAIRFUL, R.W. (1986) Prediction of annual production from part record egg production in chickens by three mathematical models. Poultry Science 65: 817-822.Google Scholar
MCNALLY, D.H. (1971) Mathematical model for poultry egg production. Biometrics 27: 735-738.Google Scholar
MIELENZ, N. and MÜLLER, J. (1991) Ein vergleich von 4 mathematischen modellen zur vorhersage der legeleisatung in hennengruppen. Archiv Tierzucht 2: 155-160.Google Scholar
MIGUEL, J.A., ASENJO, B., CIRIA, J. and CALVO, J.L. (2007) Growth and lay modelling in a population of Castellana Negra native Spanish hens. British Poultry Science 48: 651-654.Google Scholar
MINH, L.K., MIYOSHI, S. and MITSUMOTO, T. (1995) Multiphasic model of egg production in laying hens. Japanese Poultry Science 32: 161-168.CrossRefGoogle Scholar
MINVIELLE, F., COVILLE, J.L., KRUPA, A., MONVOISIN, J.L., MAEDA, Y. and OKAMOTO, S. (2000) Genetic similarity and relationships of DNA fingerprints with performance and with heterosis in Japanese quail lines from two origins and under reciprocal recurrent or within-line selection for early egg production. Genetic Selection Evolution 32: 289-302.Google Scholar
MINVIELLE, F., KAYANG, B.B., INOUE-MURAYAMA, M., MIWA, M., VIGNAL, A., GOURICHON, D., NEAU, A., MONVOISIN, J.L. and ITO, S. (2006) Search for QTL affecting the shape of the egg laying curve of the Japanese quail. BMC Genetetics 7: 26.Google Scholar
MIYOSHI, S., MINH LUC, K., KUCHIDA, K. and MITSUMUTO, T. (1996) Application of non-linear models to egg production curves in chicken. Japanese Poultry Science 33: 178-184.Google Scholar
NARINC, D., KARAMAN, E., FIRAT, M.Z. and AKSOY, T. (2010) Comparison of non-linear growth models to describe the growth in Japanese quail . Journal of Animal and Veterinary Advances 9: 1961-1966.Google Scholar
NARINC, D., KARAMAN, E., AKSOY, T. and FIRAT, M.Z. (2013) Investigation of non-linear models to describe the long term egg production in Japanese quail. Poultry Science 92: 1676-1682.Google Scholar
NARUSHIN, V.G. and TAKMA, C. (2003) Sigmoid model for the evaluation of growth and production curves in laying hens. Biosystems Engineering 84: 343-348.Google Scholar
ONI, O.O., ABUBAKAR, B.Y., DIM, N.I., ASIRIBO, O.E. and DEYINKA, I.A. (2007) Genetic and phenotypic relationships between McNally model parameters and egg production traits. International Journal of Poultry Science 1: 8-12.Google Scholar
RICKLEFS, R.E. (1968) Patterns of growth in birds. Ibis 110: 419-451.Google Scholar
SAS INSTITUTE (2011) SAS/STAT User Guide. Version 9.3 edition. SAS Institute Inc., Cary, NC.Google Scholar
SAVEGNAGO, R.P., CRUZ, V.A., RAMOS, S.B., CAETANO, S.L., SCHMIDT, G.S., LEDUR, M.C., EL FARO, L. and MUNARI, D.P. (2012) Egg production curve fitting using nonlinear models for selected and nonselected lines of White Leghorn hens. Poultry Science 91: 2977-2987.Google Scholar
SAVEGNAGO, R.P., NUNES, B.N. CAETANO, S.L. FERRAUDO, A.S. SCHMIDT, G.S. LEDUR, M.C. and MUNARI, D.P. (2011) Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens. Poultry Science 90: 705-711.Google Scholar
SOLTAN, M. and EL-KASCHAB, S. (1997) Characterization of egg production by using a multiphasic analysis under selection for egg number. Journal of King Saud University 9: 189-196.Google Scholar
THORNLEY, J.H.M. and FRANCE, J. (2007) Mathematical models in agriculture: quantitative methods for the plant, animal and ecological sciences. Second Edition. Wallingford, UK: CABI Publishing, 923 pp.Google Scholar
TIMMERMANS, M.P.F.C.A. (1973) The statistical and genetical significance of the application of mathematical models to explain egg production curves in poultry. Archiv fur Geflugelkunde 2: 37-45.Google Scholar
TIMMERMANS, M.P.F.C.A. (1975) Further investigation into the usefulness of a mathematical model to explain and predict egg production in poultry, in: FREEMAN, B.M. & BOORMAN, K.N. (Eds) Economic Factors Affecting Egg Production, pp. 121-148 (British Poultry Science, Ltd., Edinburgh, UK).Google Scholar
WOOD, P.D.P. (1967) Algebraic model of the lactation curve in cattle. Nature 216: 164-165.Google Scholar
YANG, N., WU, C. and MCMILLAN, I. (1989) A new mathematical model for poultry egg production. Poultry Science 68: 476-481.CrossRefGoogle Scholar
ZWITERING, M.H., JONGENBURGER, I. ROMBOUTS, F.M. and VAN ’T RIET, K. (1990) Modelling of the bacterial growth curve. Applied and Environmental Microbiology 56: 1875-1991.Google Scholar