Advanced SearchSearch Tips
Comparative Study on Growth Patterns of 25 Commercial Strains of Korean Native Chicken
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Korean Journal of Poultry Science
  • Volume 43, Issue 1,  2016, pp.1-14
  • Publisher : The Korean Society of Poultry Science
  • DOI : 10.5536/KJPS.2016.43.1.1
 Title & Authors
Comparative Study on Growth Patterns of 25 Commercial Strains of Korean Native Chicken
Manjula, Prabuddha; Park, Hee-Bok; Yoo, Jaehong; Wickramasuriya, Samiru; Seo, Dong-Won; Choi, Nu-Ri; Kim, Chong Dae; Kang, Bo-Seok; Oh, Ki-Seok; Sohn, Sea-Hwan; Heo, Jung-Min; Lee, Jun-Heon;
  PDF(new window)
Prediction of growth patterns of commercial chicken strains is important. It can provide visual assessment of growth as function of time and prediction body weight (BW) at a specific age. The aim of current study is to compare the three nonlinear functions (i.e., Logistic, Gompertz, and von Betalanffy) for modeling the growth of twenty five commercial Korean native chicken (KNC) strains reared under a battery cage system until 32 weeks of age and to evaluate the three models with regard to their ability to describe the relationship between BW and age. A clear difference in growth pattern among 25 strains were observed and classified in to the groups according to their growth patterns. The highest and lowest estimated values for asymptotic body weight (C) for 3H and 5W were given by von Bertalanffy and Logistic model 4629.7 g for 2197.8 g respectively. The highest estimated parameter for maturating rate (b) was given by Logistic model 0.249 corresponds to the 2F and lowest in von Bertalanffy model 0.094 for 4Y. According to the coefficient of determination () and mean square of error (MSE), Gompertz and von Bertalanffy models were suitable to describe the growth of Korean native chicken. Moreover, von Bertalannfy model was well described the most of KNC growth with biologically meaningful parameter compared to Gompertz model.
growth pattern;Gompertz;von Bertalanffy;Logistic;Korean native chicken;
 Cited by
Aggrey SE 2002 Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poult Sci 81:1782-1788. crossref(new window)

Ali KO, Brenoe UT 2002 Comparing genotypes of different body sizes for growth-related traits in chickens. Live weight and growth performance under intensive and feed-restricted extensive systems. Anim Sci 52:1-10.

Brisbin IL, Jr, Collins CT, White GC, McCallum DA 1987 A new paradigm for the analysis and interpretation of Growth Data: The shape of things to come. The Auk 104:552-554. crossref(new window)

Cho YM, Sang BD, lee HK, Yoon HB, Park YI 2001 A comparision of nonlinear models for describing weight -age relationship in Korean native chicken. J Anim Sci & Technol 43:811-816.

Choo HJ, Kim JD, Lee MJ, Sohn BR, Kim HK, Seo OS, Heo KN, Hong EC, Choi HC 2012 Comparison of native chicken growth using nonlinear parameter estimation model. Proceeding of the 29th Korean Society of Poultry Science Conference, Seoul, Korea pp. 210-212.

Darmani Kuhi H, Kebreab E, Lopez S, 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. Poult Sci 82:1536-1543. crossref(new window)

Darmani Kuhi H, Porter T, Lopez S, Kebreab E, Strathe AB, Dumas A, Dijkstra J, France J 2010 A review of mathematical functions for the analysis of growth in poultry. World Poultry Sci J 66:227-240. crossref(new window)

Dorgan N, Tulin A, Emre K, Deniz IC 2010 Analysis of fitting growth models in medium growing chicken raised indoor system. Trends Anim Vet Sci J 1:12-18.

Fatten AM 2015 Comparison of Three Nonlinear function for Describing Chicken Growth Curves. Sci Agri 9:120-123.

Gang FY, Zhen YS 1997 A study on the growth curve and maximum profit from layer-type cockerel chicks. Br Poult Sci 38:445-446. crossref(new window)

Gompertz B 1825 On the nature of the function expressive of the law of Human mortality, and on a new method of determining the value of life Contingencies. Philos Trans R Soc Lond B Biol Sci 115:513-585. crossref(new window)

Grossman M, Bohren BB 1982 Comparison of proposed growth curve functions in chickens. Growth 46:259-274.

Grossman M, Bohren BB, Anderson VL 1985 Logistic growth of chicken: A comparison of techniques to estimate parameters. J Heredi 76:397-399.

Kim YS, Kim JH, Suh SW, Kim H, Byun MJ, Kim MJ, Kim, Ji S, Lee JW, Choi SB 2012 Comparison of growth performance between Korean native layer chickens and imported layer chickens at early rearing stage. Korean J Poult Sci 39:283-290. crossref(new window)

Kim YS, Byun MJ, Suh SW, Kim JH, Cho CY, Park SB, Ko YG, Lee JW, Choi SB 2014 Comparison of growth performance at rearing stage between Korean native chicken and imported chickens. Korean J Int Agric 26:568-573. crossref(new window)

Ngeno K, Magothe TM, Okeno TO, Bebe BO, Kahi AK 2013 Heritability and correlation between body weight and growth curve parameter of indigenous chicken population reared intensively in Kenya. Res J Poult Sci 6:43-52.

Mignon-Grasteau S, Piles M, Varona L, de Rochambeau H, Poivey JP, Blasco A, Beaumont C 2000 Genetic analysis of growth curve parameters for male and female chickens resulting from selection on shape of growth curve. J Anim Sci 78:2515-2524. crossref(new window)

Porter T, Kebreab E, Darmani Kuhi H, Lopez S, Strathe AB, France J 2010 Flexible alternatives to the Gompertz equation for describing growth with age in turkey hens. Poult Sci 89:371-378. crossref(new window)

Ricklefs RE 1967 A graphical method of fitting equations to growth curves. Ecology 48:978-983. crossref(new window)

SAS Institute 2015 SAS/STAT User's Guide, Version 9.1. SAS Institute Inc, Cary, NC, USA.

Sengul T, Kiraz S 2005 Non-linear models for growth curves in Large White turkeys. Turk J Vet Anim Sci 29:331-337.

Thiruvenkadan AK, Prabakaran R, Panneerselvam S 2011 Broiler breeding strategies over the decades: An overview. World Poultry Sci J 67:309-336. crossref(new window)

Tompic T, Dobsa J, Legen S, Tompic N, Medic H 2011 Modeling the growth pattern of in-season and off-season Ross 308 broiler breeder flocks. Poult Sci 90:2879-2887. crossref(new window)

Topal M, Bolukbasi SC 2008 Comparison of nonlinear growth curve models in broiler chickens. J Appl Anim Res 34: 149-152. crossref(new window)

Von Bertalanffy L 1957 Quantitative laws in metabolism and growth. Q Rev Biol 32:218-231.

Yakupoglu C, Atil H 2001 Comparison of growth curve models on broilers II. comparison of models. Online J Biol Sci 1:682-684. crossref(new window)

Yang Y, Mekki DM, Lv SJ, Wang LY, Wang JY, 2006 Analysis of fitting growth models in Jinghai mixed-sex yellow chicken. Int J Poult Sci 5:517-521. crossref(new window)

Zhao ZH, Li SF, Huang HY, Li CM, Wang QB, Xue LG 2015 Comparative study on growth and developmental model of indigenous chicken breeds in China. Open J Anim Sci 5:219-223 crossref(new window)