Comparison of non-linear models to describe growth of Iranian Guilan sheep


  • Navid Ghavi Hossein-Zadeh University of Guilan
  • Mohammad Golshani Agricultural Organization of Guilan Province



growth function, growth pattern, fat-tailed sheep, body weight


non-linear mathematical models, empirically developed by plotting body weight against age, are used to describe the growth curve in different animals. Objective: to describe the growth  attern in Guilan sheep using non-linear models. Methods: six non-linear mathematical equations (Brody, negative exponential, Logistic, Gompertz, von Bertalanffy and Richards) were used to describe the growth curves in Guilan sheep. The Agricultural Organization of Guilan province (Rasht, Iran) provided the dataset used in this study. The dataset included 42,257 weight records of lambs from birth to 240 days of age during years 1994 to 2014. Each model was separately fitted to body weight records of all lambs, males and females, using the NLIN and MODEL procedures of SAS. The models were tested for goodness of fit using adjusted coefficient of determination, root means square error (RMSE), Durbin-Watson statistic, akaike's information criterion (AIC) and bayesian information criterion (BIC). Results: the Richards model provided the best fit to the growth curve in females and all lambs, with the lowest RMSE, AIC, and BIC values compared to the other models. The Brody model provided the best fit of growth in male lambs due to the lower values of AIC and BIC compared to the other models. The negative exponential model provided the worst fit of growth for males, females and all lambs. Conclusion: the evaluation of the growth equations used in this study indicates the potential of non-linear functions for fitting body weight records of Guilan sheep.

= 299 veces | PDF
= 124 veces| | HTML
= 223 veces|


Download data is not yet available.

Author Biography

Navid Ghavi Hossein-Zadeh, University of Guilan

Department of Animal Science, Faculty of Agricultural Sciences,Rasht


Abegaz S, Van Wyk JB, Olivier JJ. Estimation of genetic and phenotypic parameters of growth curve and their relationshipwith early growth and productivity in Horro sheep. Arch Tierz 2010; 53(1):85-94.Akbas Y, Taskýn T, Demirören E. Comparison of several models to fit the growth curves of kivircik and daglic male lambs. TurkishJ Vet Anim Sci 1999; 23 Suppl 3:537-544.Bathaei SS, Leroy PL. Growth and mature weight of Mehraban Iranian fat-tailed sheep. Small Rumin Res 1996; 22:155-162.Bathaei SS, Leroy PL. Genetic and phenotypic aspects of the growth curve characteristics in Mehraban Iranian fat-tailed sheep.Small Rumin Res 1998; 29:261-269.Bedier NZ, Younis AA, Galal ESE, Mokhta MM. Optimum ewe size in desert Barki sheep. Small Rumin Res 1992; 7:1-7.Burnham KP, Anderson DR. Model selection and multimodelinference: a practical–theoretic approach, 2nd edn. Berlin,Germany: Springer-Verlag; 2002.da Silva LSA, Fraga AB, da Silva FDL, Beelen PMG, Silva RMDO, Tonhati H, Barros CD C. Growth curve in Santa Inês sheep. Small Rumin Res 2012; 105:182-185.Eteqadi B, Ghavi Hossein-Zadeh N, Shadparvar AA. Population structure and inbreeding effects on body weight traits of Guilan sheep in Iran. Small Rumin Res 2014; 119:45-51.Fitzhugh Jr HA. Analysis of growth curves and strategies for altering their shape. J Anim Sci 1976; 42:1036-1051.Freitas AR. Curvas de crescimento na producão animal. R Bras Zootec 2005; 34:786795.Garnero AV, Marcondes CR, Bezerra LAF, Oliveira HN, Lôbo RB. Genetic parameters of maturation rate and asymptotic weight in Nelore females. Braz Arch Vet Med Anim Sci 2005; 57:652-662.Gbangboche AB, Gleke-Kalai R, Albuquerque LG, Leroy P. Comparison of non-linear growth models to describe the growth curve in West African Dwarf sheep. Animal 2008; 2:1003-1012.

Ghavi Hossein-Zadeh N. Comparison of non-linear models to describe the lactation curves of milk yield and composition in Iranian Holsteins. J Agr Sci 2014; 152:309-324. Ghavi Hossein-Zadeh N. Modeling the growth curve of Iranian Shall sheep using non-linear growth models. Small Rumin Res 2015; 130:60-66.Goliomytis M, Orfanos S, Panopoulou E, Rogdakis E. Growth curves for body weight and carcass components, and carcasscomposition of the Karagouniko sheep, from birth to 720 d of age. Small Rumin Res 2006; 66:222-229.Goonewardene LA, Berg RT, Hardin RT. A growth study of beef cattle. Can J Anim Sci 1981; 61: 1041-1048.Kachman SD, Gianola D. A Bayesian estimator of variance and covariance components in nonlinear growth models. J Anim Sci 1984; 59 Suppl 1:176.Keskin I, Dag B, Sariyel V, Gokmen M. Estimation of growth curve parameters in Konya Merino sheep. South Afr J Anim Sci 2010; 39(2):163-168.Lambe NR, Navajas EA, Simm G, Bünger L. A geneticinvestigation of various growth models to describe growth of lambs of two contrasting breeds. J Anim Sci 2006; 84:2642-2654.Lewis RM, Emmans GC, Dingwall WS. A description of the growthof sheep and its genetic analysis. Anim Sci 2002; 74:51-62.Lôbo RNB, Villela LCV, Lôbo AMBO, Passos JRS, Oliveira AA. Genetic parameters of estimated characteristics of the growthcurve of Santa Inês sheep. R Bras Zootec 2006; 35 (3):1012-1019.Malhado CHM, Carneiro PLS, Santos PF, Azevedo DMMR,Souza JC, Affonso PRAM. Curva de crescimento emovinosmestic ̧ os Santa Inês×Texel criados no Sudoeste do Estado da Bahia. Rev Bras Saúde Prod An 2008; 9:210-218.Malhado CHM, Carneiroa PLS, Affonso PRAM, Souza Jr AAO, Sarmento JLR. Growth curves in Dorper sheep crossed with the local Brazilian breeds, Morada Nova, Rabo Largo, and Santa Inês. Small Rumin Res 2009; 84:16-21.McManus C, Evangelista C, Fernandes LAC, Miranda RM, Moreno-Bernal FE, Santos NR. Growth curves of Bergamácia Sheep raised in the Federal District. R Bras Zootec 2003; 32 (5):1207-1212.Noor RR, Djajanegara A, Schüler L. Selection to improvement birth and weaning weight of Javanese Fat Tailed sheep. Arch Tierz 2001; 44:649-659.Perotto D, Cue RI, Lee AJ. Comparison of nonlinear functions for describing the growth curve of three genotypes of dairy cattle.Can J Anim Sci 1992; 72:773-782.Rogers SR, Pesti GM, Marks HL. Comparison of three nonlinear regression models for describing broiler growth curves. Growth 1987; 51:229-239.Sarmento JLR, Regazzi AJ, Souza WH, Torres RA, Breda FC, Menezes GRO. Study of growth curve of Santa Inês sheep. R Bras Zootec 2006; 35 (2):435-442.SAS. SAS User’s guide v. 9.0: Statistics. SAS Institute, Inc, Cary, NC, USA; 2002.Souza LA, Carneiro PLS, Malhado CHM, Silva FF, Silveira FG. Traditional and alternative nonlinear models for estimating the growth of Morada Nova sheep. R Bras Zootec 2013; 42(9):651-655.Tariq M, Iqbal F, Eyduran E, Bajwa MA, Huma ZE, Waheed A. Comparison of non-linear functions to describe the growth in Mengalisheep breed of Balochistan. Pak J Zool 2013; 45(3):661-665.Topal M, Ozdemir M, Aksakal V, Yildiz N, Dogru U. Determinationof the best nonlinear function in order to estimate growth in Morkaraman and Awassi lambs. Small Rumin Res 2004; 55:229-232.Toral FLB. Number and range of weighing for estimatingparameters of growth curves in cattle. R Bras Zootec 2008;37:2120-2128




How to Cite

Hossein-Zadeh, N. G., & Golshani, M. (2016). Comparison of non-linear models to describe growth of Iranian Guilan sheep. Revista Colombiana De Ciencias Pecuarias, 29(3), 199–209.



Original research articles

Similar Articles

> >> 

You may also start an advanced similarity search for this article.