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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: [email protected]
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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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References

AGGREY, S.E. (2002) Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poultry Science 81: 1782-1788.CrossRefGoogle ScholarPubMed
AGGREY, S.E., ANKRA-BADU, G.A. and MARKS, H.L. (2003) Effect of long-term selection on growth characteristics in Japanese quail. Poultry Science 82: 538-542.CrossRefGoogle ScholarPubMed
AHMADI, H. and MOTTAGHİTALAB, M. (2007) Hyperbolastic models as a new powerful tool to describe broiler growth kinetics. Poultry Science 86: 2461-2465.Google Scholar
AKBAŞ, Y. and OĞUZ, I. (1998) Growth curve parameters of lines of Japanese quail (Coturnix coturnix japonica), unselected and selected for four-week body weight. Archiv Für Gefügelkunde 62: 104-109.Google Scholar
AKBAŞ, Y. and YAYLAK, E. (2000) Heritability estimates of growth curve parameters and genetic correlations between the growth curve parameters and weights at different age of Japanese quail. Archiv Für Gefügelkunde 64: 141-146.Google Scholar
ALI, K.O. and BRENOE, U.T. (2002) Comparing genotypes of different body sizes for growth-related traits in chickens. I. Live weight and growth performance under intensive and feed-restricted extensive systems. Acta Agricultural Scadinavian, Section A. -Animal Science 52: 1-10.Google Scholar
ALKAN, S., MENDES, M., KARABAG, K. and BALCIOGLU, M.S. (2009) Effects short term divergent selection for 5-week body weight on growth characteristics in Japanese quail. Archiv Für Gefügelkunde 73: 124-131.Google Scholar
ALKAN, S., NARİNÇ, D., KARSLI, T., KARABAĞ, K. and BALCIOĞLU, M.S. (2012) Effects of thermal manipulations during early and late embryogenesis on growth characteristics in Japanese quails (Coturnix coturnix japonica). Archiv Für Gefügelkunde 76: 184-190.Google Scholar
ANTHONY, N.B., NESTOR, K.E. and BACON, W.L. (1986) Growth curves of Japanese quail as modified by divergent selection for 4-week body weight. Poultry Science 65: 1825-1833.Google Scholar
ANTHONY, N.B., EMMERSON, D.A. and NESTOR, K.E. (1991a) Research Note: Influence of body weight selection on the growth curve of Turkeys. Poultry Science 70: 192-194.Google Scholar
ANTHONY, N.B., EMMERSON, D.A., NESTOR, K.E. and BACON, W.L. (1991b) Comparison of growth curves of weight selected populations of turkeys, quail and chickens. Poultry Science 70: 13-19.Google Scholar
ASLAM, M., BASTIAANSEN, J., CROOIJMANS, R., DUCRO, B., VEREIJKEN, A. and GROENEN, M. (2011) Genetic variances, heritabilities and maternal effects on body weight, breast meat yield, meat quality traits and the shape of the growth curve in turkey birds. BMC Genetics 12: 14-23.Google Scholar
BALCIOĞLU, M.S., KIZILKAYA, K., YOLCU, H.İ. and KARABAĞ, K. (2005) Analysis of growth characteristics in short-term divergently selected Japanese quail. South African Journal of Animal Science 35: 83-89.Google Scholar
BALCIOĞLU, M.S., KIZILKAYA, K., KARABAĞ, K., ALKAN, S., YOLCU, H.I. and ŞAHİN, E. (2009) Comparison of growth characteristics of chukar partridges (Alectoris chukar) raised in captivity. Journal of Applied Animal Research 35: 21-24.CrossRefGoogle Scholar
BARBATO, G.F. (1991) Genetic architecture of growth curve parameters in chickens. Theoretical and Applied Genetics 83: 24-32.CrossRefGoogle ScholarPubMed
BEIKI, H., PAKDEL, A., MORADI-SHAHRBABAK, M. and MEHRBAN, H. (2013) Evaluation of growth functions on Japanese quail lines. The Journal of Poultry Science 50: 20-27 Google Scholar
DARMANI KUHI, H., KEBREAB, E., LOPEZ, S. and FRANCE, J. (2003) An evaluation of different growth functions for describing the profile of live weight with time (age) in meat and egg strains of chicken. Poultry Science 82: 1536-1543.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.Google Scholar
DOTTAVIO, A.M., ÁLVAREZ, M., CANET, Z.E., FONT, M.T. and DI MASSO, R.J. (2007) Growth pattern of experimental hybrids for free range broiler production. Revista Argentina de Producción Animal 27: 75-82.Google Scholar
DOURADO, L.R.B., SAKOMURA, N.K., NASCIMENTO, D.C.N., DORIGAM, J.C., MARCATO, S.M. and FERNANDES, J.B.K. (2009) Growth and performance of naked neck broiler reared in free-range system. Ciênciae Agrotecnologia 33: 875-881.CrossRefGoogle Scholar
ELEROĞLU, H., YILDIRIM, A., ŞEKEROĞLU, A., ÇOKSÖYLER, F.N. and DUMAN, M. (2014) Comparison of growth curves by growth models in slow-growing chicken genotypes raised the organic system. International Journal of Agriculture and Biology 16: 529-535.Google Scholar
ERSOY, I.E., MENDEŞ, M. and AKTAN, S. (2006) Growth Curve Establishment for American Bronze Turkeys. Archiv Tierzucht 49: 293-299.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
GEBHARDT-HENRICH, S.G. and MARKS, H.L. (1993) Heritability of growth curve parameters and age-specific expression of genetic variation under two different feeding regimes in Japanese quail (Coturnix coturnix japonica). Genetical Research 62: 45-55.Google Scholar
GOLIOMYTIS, M., PANOPOULOU, E. and ROGDAKIS, E. (2003) Growth curves for body weight and major component parts, feed consumption, and mortality of male broiler chickens raised to maturity. Poultry Science 82: 1061-1068.Google Scholar
GROSSMAN, M. and BOHREN, B.B. (1982) Comparison of proposed growth curve functions in chickens. Growth 46: 259-274.Google Scholar
GROSSMAN, M. and BOHREN, B.B. (1985) Logistic growth curve of chickens: heritability of parameters. Journal of Heredity 76: 459-462.CrossRefGoogle ScholarPubMed
HYANKOVA, L., KNIZETOVA, H., DEDKOVA, L. and HORT, J. (2001) Divergent selection shape of growth curve in Japanese quail 1. Responses in Growth parameters and food conversion. British Poultry Science 42: 583-589.CrossRefGoogle ScholarPubMed
KARADAS, K., TARIQ, M., TARIQ, M.M. and EYDURAN, E. (2017) Measuring predictive performance of data mining and artificial neural network algorithms for predicting lactation milk yield in indigenous Akkaraman Sheep. Pakistan Journal of Zoology 49: 1-7.CrossRefGoogle Scholar
KNIZETOVA, H., HYANEK, J., KNIZE, B. and ROUBICEK, J. (1991a) Analysis of growth curves in fowl. I. Chickens. British Poultry Science 32: 1027-1038.Google Scholar
KNIZETOVA, H., HYANEK, J., KNIZE, B. and PROCHAZKOVA, H. (1991b) Analysis of growth curves in fowl. II. Ducks. British Poultry Science 32: 1039-1053.Google Scholar
KNIZETOVA, H., HYANEK, J. and VESELSKY, A. (1994) Analysis of growth curves in fowl. III. Geese. British Poultry Science 35: 335-344.CrossRefGoogle ScholarPubMed
KNIZETOVA, H., HYANEK, J., HYANKOVA, L. and BELICEK, P. (1995) Comparative study of growth curves in poultry. Genetics Selection Evolution 27: 365-375.CrossRefGoogle Scholar
KONARZEWSKI, M., KOOIJMAN, S.A.L.M. and RICKLEFS, R.E. (1998) Models for avian growth and development, in: STARCK, J.M. & RICKLEFS, R.E. (Eds) Avian Growth and Development: Evolution within the Altricial-precocial Spectrum, pp.340-361 (Oxford University Press, New York).Google Scholar
LILBURN, M.S., RENNER, P.A. and ANTHONY, N.B. (1992) Interaction between step-up versus step-down lighting from four to six teen weeks on growth and development in turkey hens from two commercial strains. Poultry Science 71: 419-426.CrossRefGoogle Scholar
LILBURN, M.S. and EMMERSON, D. (1993) The influence of differences of dietary amino acids during the early growing period on growth and development of Nicholas and British United Turkey toms. Poultry Science 72: 1722-1730.Google Scholar
MARCATO, S.M., SAKOMURA, N.K., MUNARI, D.P., FERNANDES, J.B.K., KAWAUCHI, I.M. and BONATO, M.A. (2008) Growth and Body Nutrient Deposition of Two Broiler Commercial Genetic Lines. Brazilian Journal of Poultry Science 10: 117-123.Google Scholar
MARKS, H.L. (1978) Growth curve changes associated with long-term selection for body weight in Japanese quail. Growth 42: 129-140.Google Scholar
MARUYAMA, K.. POTTS, W.J.E., BACON, W.L. and NESTOR, K.E. (1998) Modeling turkey growth with the relative growth rate. Growth Development and Aging 62: 123-139.Google Scholar
MARUYAMA, K., VINYARD, B., AKBAR, M.K., SHAFER, D.J. and TURK, C.M. (2001) Growth curve analyses in selected duck lines. British Poultry Science 42: 574-582.CrossRefGoogle ScholarPubMed
MENDES, M., DINCER, E. and ARSLAN, E. (2007) Profile Analysis and Growth Curve for Body Mass Index of Broiler Chickens Reared Under Different Feed Restrictions in Early Age. Archiv fur Tierzucht 50: 403-411.Google Scholar
MIGNON-GRASTEAU, S., BEAUMONT, C., LE BIHAN-DUVAL, E., POIVEY, J.P., DE ROCHAMBEAU, H. and RICHARD, F.H. (1999) Genetic parameters of growth curve parameters in male and female chickens. British Poultry Science 40: 44-51.Google Scholar
MIGNON-GRASTEAU, S., PILES, M., VARONA, L., DE ROCHAMBEAU, H., POIVEY, J.P., BLASCO, A. and BEAUMONT, C. (2000) Genetic analysis of growth curve parameters for male and female chickens resulting from selection on shape of growth curve. Journal of Animal Science 78: 2515-2524.Google Scholar
NAHASHON, S.N., AGGREY, S.E., ADEFOPE, N.A. and AMENYENU, A. (2006a) . Modeling growth characteristics of meat-type guinea fowl. Poultry Science 85: 943-946.Google Scholar
NAHASHON, S.N., AGGREY, S.E., ADEFOPE, N.A., AMENYENU, A. and WRIGHT, D. (2006b) . Growth Characteristics of Pearl Gray Guinea Fowl as Predicted by the Richards, Gompertz, and Logistic Models. Poultry Science 85: 359-363.Google Scholar
NARİNÇ, D., AKSOY, T. and KARAMAN, E. (2010a) Genetic parameters of growth curve parameters and weekly body weights in Japanese quail. Journal of Animal and Veterinary Advances 9: 501-507.Google Scholar
NARİNÇ, D., KARAMAN, E., FIRAT, M.Z. and AKSOY, T. (2010b) Comparison of non-linear growth models to describe the growth in Japanese quail. Journal of Animal and Veterinary Advances 9: 1961-1966.Google Scholar
NARİNÇ, D., KARAMAN, E., AKSOY T., DENİZ and Ç. (2010c) Analysis of fitting growth models in medium growing chicken raised indoor system. Trends Animal and Veterinary Science Journal 1: 12-18.Google Scholar
NARİNÇ, D., KARAMAN, E., AKSOY, T. and FIRAT, M.Z. (2014) Genetic parameter estimates of growth curve and reproduction traits in Japanese quail. Poultry Science 93: 24-30.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.CrossRefGoogle Scholar
N'DRI, A.L., MIGNON-GRASTEAU, S., SELLIER, S., TIXIER-BOICHARD, M. and BEAUMONT, C. (2006) Genetic relationships between feed conversion ratio, growth curve and body composition in slow growing chickens. British Poultry Science 47: 273-280.Google Scholar
NORRIS, D., NGAMBI, J.W., BENYI, K., MAKGAHLELA, M.L., SHIMELIS, H.A. and NESAMVUNI, E.A. (2007) Analysis of growth curves of indigenous male Venda and Naked Neck chickens. South African Journal of Animal Science 37: 21-26.Google Scholar
PANIK, M.J. (2014) Growth Curve Modeling: Theory and Applications. John Wiley & Sons, USA.Google Scholar
PIS, T. (2012) Growth and development of chicks of two species of partridge: the Grey partridge (Perdix perdix) and the chukar (Alectoris chukar). British Poultry Science 53: 141-144.CrossRefGoogle ScholarPubMed
PORTER, T., KEBREAB, E., DARMANI KUHI, H., LOPEZ, S., STRATHE, A.B. and FRANCE, J. (2010) Flexible alternatives to the Gompertz equation for describing growth with age in turkey hens. Poultry Science 89: 371-378.Google Scholar
RAMOS, S.B., CAETANO, S.L., SAVEGNAGO, R.P., NUNES, B.N., RAMOS, A.A. and MUNARI, D.P. (2013) Growth curves for ostriches (Struthiocamelus) in a Brazilian population. Poultry Science 92: 277-282.Google Scholar
REZVANNEJAD, E., PAKDEL, A., MIRAEE ASHTIANEE, S.R., MEHRABANI YEGANEH, H. and YAGHOOBI, M.M. (2013) Analysis of growth characteristics in short-term divergently selected Japanese quail lines and their cross. The Journal of Applied Poultry Research 22: 663-670.Google Scholar
RICKLEFS, R.E. (1967) Relative growth, body constituents, and energy content of nestling barn swallows and red-winged blackbirds. The Auk 84: 560-570.Google Scholar
RIZZI, C., CONTIERO, B. and CASSANDRO, M. (2013) Growth patterns of Italian local chicken populations. Poultry Science 92: 2226-2235.Google Scholar
ROUSH, W.B. and BRANTON, S.L. (2005) A comparison of fitting growth models with a genetic algorithm and nonlinear regression. Poultry Science 84: 494-502.Google Scholar
ROUSH, W.B., DOZIER III, W.A. and BRANTON, S.L. (2006) Comparison of Gompertz and Neural Network models of broiler growth. Poultry Science 85: 794-797.Google Scholar
SAKOMURA, N.K., GOUS, R.M., MARCATO, S.M. and FERNANDES, J.B.K. (2011) A description of the growth of the major body components of 2 broiler chicken strains. Poultry Science 90: 2888-2896.Google Scholar
SANTOS, A.L., SAKOMURA, N.K., FREITAS, E.R., FORTES, C.M.S. and CARRILHO, E.N.V.M. (2005) Comparison of free range broiler chicken strains raised in confined or semi-confined systems. Revista Brasileira de CiênciaAvícola 7: 85-92.Google Scholar
SCHEUERMANN, G.N., BILGILI, S.F., HESS, J.B. and MULVANEY, D.R. (2003) Breast muscle development in commercial broiler chickens. Poultry Science 82: 1648-1658.Google Scholar
SCHINCKEL, A.P., ADEOLA, O. and EINSTEIN, M.E. (2005) Evaluation of alternative nonlinear mixed effects models of duck growth. Poultry Science 84: 256-264.CrossRefGoogle ScholarPubMed
SENGUL, T. and KIRAZ, S. (2005) Non-linear models of growth curves in large white turkeys. Turkish Journal of Veterinary and Animal Sciences 29: 331-337.Google Scholar
SEZER, M. and TARHAN, S. (2005) Model parameters of growth curves of three meat-type lines of Japanese quail. Czech Journal of Animal Science 50: 22-30.CrossRefGoogle 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
TOMPIĆ, T., DOBŠA, J., LEGEN, S., TOMPIĆ, N. and MEDIĆ, H. (2011) Modeling the growth pattern of in-season and off-season Ross 308 broiler breeder flocks. Poultry Science 90: 2879-2887.Google Scholar
TZENG, R.Y. and BECKER, W.A. (1981) Growth patterns of body and abdominal fat weight in male broiler chickens. Poultry Science 60: 1101-1106.Google Scholar
VITEZICA, Z.G., MARIE-ETANCELIN, C., BERNADET, M.D., FERNANDEZ, X. and ROBERT-GRANIE, C. (2010) Comparison of nonlinear and spline regression models for describing mule duck growth curves. Poultry Science 89: 1778-1784.Google Scholar
YAKUPOGLU, C. and ATIL, H. (2001) Comparison of growth curve models on broilers growth curve I: Parameters estimation. Online Journal of Biological Sciences 1: 680-681.Google Scholar
ZHAO, Z., LI, S., HUANG, H., LI, C., WANG, Q. and XUE, L. (2015) Comparative Study on Growth and Developmental Model of Indigenous Chicken Breeds in China. Open Journal of Animal Sciences 5: 219-223.Google Scholar
ZUIDHOF, M.J. (2005) Mathematical characterisation of broiler carcass yield dynamics. Poultry Science 84: 1108-1122.CrossRefGoogle ScholarPubMed
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