Growth characteristics of commercial broiler and native chickens as predicted by different growth functions

• Autorzy: Moharrery A. , Mirzaei M.
• Języki publikacji: EN

Abstrakty

EN

This study compared five non-linear growth functions (Gompertz, logistic, Lopez, Richards and Weibull) using body weight (BW) measurements from a commercial strain (Ross 308) and Iranian native chickens. Seventy two commercial broilers and seventy two native chickens were randomly assigned to four treatments. Each treatment consisted of six replicates of three chickens. The chickens were fed with maize-soyabean meal supplying four levels of metabolizable energy (ME) (100%, 94%, 88% and 82% of NRC recommendations) for eight weeks. Body weight was measured weekly from 2 weeks of age. Flexible growth functions were evaluated for their ability to describe the relationship between liveweight and age, and were compared with functions having a fixed point of inflection. Based on goodness of fit criteria and statistical performance, the flexible growth functions fit the data better than the functions with a fixed point of inflection, such as the Gompertz and logistic functions. Among the flexible growth functions, the Richards function gave the best fit to the data, with adjusted coefficients of determination ranging from 99.51 to 99.12 for commercial and native birds, respectively. The results indicated that commercial broilers had a higher final body weight (Wf ) than the native chickens. The chickens receiving 100% ME concentrations had higher body weights compared with the chickens on lower energy levels. Based on the Richards function, the decreased dietary ME concentrations caused a linear reduction in Wf in the commercial strain (P < 0.05); however, dietary energy concentrations had no effect on the Wf and other growth curve parameters in native chickens (P > 0.05

• Wydawca: -
• Czasopismo: Journal of Animal and Feed Sciences
• Rocznik: 2014
• Tom: 23
• Numer: 1
• Opis fizyczny: p.82-89,fig.,ref.

Twórcy

autor

Moharrery A.

• Animal Science Department, Shahrekord University, Agricultural College, Iran, P.O. Box: 115, Sharekord, Iran

autor

Mirzaei M.

• Animal Science Department, Shahrekord University, Agricultural College, Iran, P.O. Box: 115, Sharekord, Iran

Bibliografia

• Aerts J.M., Lippens M., De Groote G., Buyse J., Decuypere E., Vranken E., Berckmans D., 2003. Recursive prediction of broiler growth response to feed intake by using a time-variant parameter estimation method. Poultry Sci. 82, 40–49
• Boekholt H.A., Van Der Grintin P.H., Schreurs V.V.A.M., Los M.J.N., Leffering C.P., 1994. Effect of dietary energy restrictions on retention of protein, fat and energy in broiler chickens. Brit. Poultry Sci. 35, 603–614
• 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. Poultry Sci. 82, 1536–1543
• France J., Thornley J.H.M., 1984. Mathematical Models in Agriculture. Butterworths, London
• 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. Trans. R. Philos. Soc. 115, 513–585
• Havenstein G.B., Ferket P.R., Qureshi M.A., 2003. Growth, livability, and feed conversion of 1957 versus 2001 broilers when fed representative 1957 and 2001 diets. Poultry Sci. 82, 1500–1508
• Latshaw J.D., Moritz J.S., 2009. The partitioning of metabolizable energy by broiler chickens. Poultry Sci. 88, 98–105
• Leeson S., Caston L., Summers J.D., 1996. Broiler response to diet energy. Poultry Sci. 75, 529–535
• Lin C.S., Chiang S.H., Lu M.Y., 2010. Comparison of the energy utilisation of conventional and Taiwanese native male broilers. Anim. Feed Sci. Tech. 161, 149–154
• Lopez S., France J., Dhanoa M.S., Mould F., Dijkstra J., 2000. A generalized Michaelis-Menten equation for the analysis of growth. J. Anim. Sci. 78, 1816–1828
• Maruyama K., Akbar M.K., Turk C.M., 1999. Growth pattern and carcase development in male ducks selected for growth rate. Brit. Poultry Sci. 40, 233–239
• Maruyama K., Vinyard B., Akbar M.K., Shafer D.J, Turk C.M., 2001. Growth curve analyses in selected duck lines. Brit. Poultry Sci. 42, 574–582
• Motulsky H.J., Ransnas L.A., 1987. Fitting curves to data using nonlinear regression:A practical and nonmathematical review. FASEB J. 1, 365–374
• Nahashon S.N., Adefope N., Amenyenu A., Wright D., 2005. Effect of dietary metabolizable energy and crude protein concentrations on growth performance and carcass characteristics of French guinea broilers. Poultry Sci. 84, 337–344
• Nahashon S.N., Aggrey S.E., Adefope N.A., Amenyenu A., Wright D., 2010. Gompertz-Laird model prediction of optimum utilization of crude protein and metabolizable energy by French guinea fowl broilers. Poultry Sci. 89, 52–57
• NRC, 1994. Nutrient Requirements of Poultry. 9th Edition. National Academy Press. Washington, DC
• Plumstead P.W., Romero-Sanchez H., Paton N.D., Spears J.W., Brake J., 2007. Effects of dietary metabolizable energy and protein on early growth responses of broilers to dietary lysine. Poultry Sci. 86, 2639–2648
• Richards F.J., 1959. A flexible growth function for empirical use. J. Exp. Bot. 10, 290–300
• Rickleft R.E., 1968. Patterns of growth in birds. Ibis 110, 419–451
• Robertson T. B., 1908. On the normal rate of growth of an individual and its biochemical significance. Arch. Entwicklungsmech. Org. 25, 581–614
• SAS, 2009. Version 9.3. SAS Institute Inc. Cary, NC
• Thornley J.H.M., France J., 2007. Mathematical Models in Agriculture. 2nd Edition. CABI Publication, Wallingford, UK. pp. 136–169
• Tompić T., Dobša J., Legen S., Tompić N., Medić H., 2011. Modeling the growth pattern of in-season and off-season Ross 308 broiler breeder flocks. Poultry Sci. 90, 2879–2887
• Wiseman J., Lewis C.E., 1998. Influence of dietary energy and nutrient concentration on the growth of body weight and carcass components of broiler chickens. J. Agr. Sci. 131, 361–371