Comparison of Non-linear Growth Curve Models in Non-descript California and New Zealand Rabbits Reared in the Tropical Conditions of Nigeria

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Okeke Rufina Obioma
Suleiman Ibrahim Onotu
Omotugba Stephen Kayode
Ibikunle Kehinde Yemiola
Idris Abdullahi
Louis Ugwu
Adeniyi Adebayo Kunle
Oludayo Michael Akinsola


Nonlinear functions of body weight at different age intervals were used to estimate the growth pattern in New Zealand White and California rabbits. Gompertz and Logistic functions of 3 and 4 parameters were fitted to Age-weight data matrix. Age-weight records of New Zealand White and California rabbits from birth were monitored to 56 days to estimate the average growth curve for each breed. The weight difference between breeds was consistently in favor of California rabbits as compared to New Zealand White. It was concluded that the Gompertz and logistic models were both parsimonious and adequate in describing the growth patterns of New Zealand White and California rabbits in the tropical conditions of Nigeria.

Gompertz model, logistic models, non-linear growth curve models, rabbits, nonlinear functions, body weight.

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Obioma, O. R., Onotu, S. I., Kayode, O. S., Yemiola, I. K., Abdullahi, I., Ugwu, L., Kunle, A. A., & Akinsola, O. M. (2020). Comparison of Non-linear Growth Curve Models in Non-descript California and New Zealand Rabbits Reared in the Tropical Conditions of Nigeria. Asian Journal of Research in Agriculture and Forestry, 5(2), 22-28.
Original Research Article


Akinsola OM. Genetic and physiological evaluation of Hyla rabbits in Guinea Savannah Zone of Nigeria. Zaria: M.Sc. Dissertation Submitted to the Department of Animal Science, Ahmadu Bello University. 2012;66–70.

Blasco A, Piles M, Varona L. A Bayesian analysis of the effect of selection for growth rate on growth curves in rabbits. Genet. Sel. Evol. 2003;35:21-41.

Lambe NR, Navajas EA, Simm G, Bunger L. A genetic investigation of various growth models to describe growth of lambs of two contrasting breeds J. Anim. Sci. 2006; 84:2642-2654.

Strathe AB, Danfear A, Sorensen H, Kebreab E. A multilevel nonlinear mixed-effects approach to model growth in pigs. J. Anim. Sci. 2010;88:638-649.

Budimulyati LS, Noor RR, Saefuddin A, Talib C. Comparison on accuracy of Logistic, Gompertz and Von Bertalanffy models in predicting growth of new born calf until first mating of Holstein Friesian heifers. J. Indonesian Trop. Anim. Agric. 2012;37(3):151-160.

Forni S, Piles M, Blasco A, Varona L, Oliveir HN, Lobo RB. Comparison of different nonlinear functions to describe Nelore cattle growth. J. Anim. Sci. 2009; 87:496-506.

Rao DR, Sunki GR, Johnson WM, Chen CP. Postnatal growth of New Zealand White rabbit (Oryctolagus cuniculus). J. Anim. Sci. 1997;44:1021-1025.

Sampaio IMB, Ferreira WM, Bastos AF. The use of a stochastic model of rabbit growth for culling. World Rabbit Sci. 2005; 13:107-112.

McNitt JI, Lukehfar SD. Breed and environmental effects on postweaning growth of rabbits. J. Anim. Sci. 2005;71: 1996-2005.

Gompertz B. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Phil. Trans. Roy. Soc. London. 1832;123:513-585.

Ratkowsky DA, Reedy TJ. Choosing near-linear parameters in the four-parameter logistic model for radioligand and related assays. Biometrics. 1986;42:575–582.

Gibson AM, Bratchell N, Roberts TA. The effect of sodium chloride and temperature on the rate and extent of growth of Clostridium bolulinum type A in pasteurized pork slurry. Journal of Applied Bacteriology. 1987;62(6):479–90.
[PMID: 3305458]

Burnham Kenneth P, David R. Anderson. Model selection and multimodel inference: A practical information-theoretical approach. 2nd Ed. New York: Springer Verlag; 2002.

Kurnianto E, Shinjo A, Suga D. Analysis of growth in intersubspecific crossing of mice using Gompertz model. Asian-Aust. J. Anim. Sci. 1998;11:84-88.