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Egg production curve analyses in poultry science

  • D. NARINC (a1), F. UCKARDES (a2) and E. ASLAN (a2)

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.

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Corresponding author

Corresponding author: dnarinc@nku.edu.tr

References

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ADAMS, C.J. and BELL, D.D. (1980) Predicting poultry egg production. Poultry Science 59: 937-938.
AGGREY, S.E. (2002) Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poultry Science 81: 1782-1788.
AGGREY, S.E., NICHOLS, C.R. and CHENG, K.M. (1993) Multiphasic analysis of egg production in Japanese quail. Poultry Science 72: 2185-2192.
ANONYMOUS (2013) Shaver white parent stock production performance. Shaver Poultry Breeding Farms Ltd., Cambridge, ON, Canada. www.isapoultry.com.
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.
CASON, J.A. (1990) Comparison of linear and curvilinear decreasing terms in logistic flock egg production models. Poultry Science 69: 1467-1470.
CASON, J.A. and BRITTON, W.M. (1988) Comparison of compartmental and Adams-Bell models of poultry egg production. Poultry Science 67: 213-218.
CASON, J.A. and WARE, G.O. (1990) Analysis of flock egg production curves using generalized growth functions. Poultry Science 69: 1054-1069.
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.
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.
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.
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.
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.
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).
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.
GAVORA, J.S., PARKER, R.J. and MCMILLAN, I. (1971) Mathematical model of egg production. Poultry Science 50: 1306-1315.
GLOOR, A. (1997) Mathematische schätzung der eiproduktion vo legeherden mit und ohne mauser. Archiv fur Geflugelkunde 61: 186-190.
GROSSMAN, M., GOSSMAN, T.N. and KOOPS, W.J. (2000) A model for persistency of egg production. Poultry Science 79: 1715-1724.
GROSSMAN, M. and KOOPS, W.J. (2001) A model for individual egg production in chickens. Poultry Science 80: 859-867.
KLOMP, H. (1970) The determination of clutch-size in birds: a review. Ardea 58: 1-124.
KOOPS, W.J. and GROSSMAN, M. (1992) Characterization of poultry egg production using a multiphasic approach. Poultry Science 71: 399-405.
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.
MCMILLAN, I. (1981) Compartmental model analysis of poultry egg production curves. Poultry Science 60: 1549-1551.
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.
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.
MCNALLY, D.H. (1971) Mathematical model for poultry egg production. Biometrics 27: 735-738.
MIELENZ, N. and MÜLLER, J. (1991) Ein vergleich von 4 mathematischen modellen zur vorhersage der legeleisatung in hennengruppen. Archiv Tierzucht 2: 155-160.
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.
MINH, L.K., MIYOSHI, S. and MITSUMOTO, T. (1995) Multiphasic model of egg production in laying hens. Japanese Poultry Science 32: 161-168.
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.
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.
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.
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.
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.
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.
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.
RICKLEFS, R.E. (1968) Patterns of growth in birds. Ibis 110: 419-451.
SAS INSTITUTE (2011) SAS/STAT User Guide. Version 9.3 edition. SAS Institute Inc., Cary, NC.
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.
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.
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.
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.
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.
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).
WOOD, P.D.P. (1967) Algebraic model of the lactation curve in cattle. Nature 216: 164-165.
YANG, N., WU, C. and MCMILLAN, I. (1989) A new mathematical model for poultry egg production. Poultry Science 68: 476-481.
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.

Keywords

Egg production curve analyses in poultry science

  • D. NARINC (a1), F. UCKARDES (a2) and E. ASLAN (a2)

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