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Characterisation of local Ghanaian chickens: growth performance evaluation based on Richards growth model and genetic size scaling

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Abstract

The Richards growth model was fitted to body weight-age data of local and SASSO T44 chickens to describe their growth performance. Males had higher (P < 0.05) asymptotic mature weights than females. Within the local chicken population, birds from the savannah zone had higher (P < 0.05) asymptotic mature weights compared to forest chicken which ironically had higher body weights at hatch. Male local chicken had lower maturing rates compared to the females. Female local chicken were superior to SASSO T44 females in terms of maturing rate. On the average, local chickens took relatively longer time (78.4–83.3 days) to reach the point of inflection than the SASSO T44 population (74.2–79.8 days). However, there were no significant differences (P > 0.05) in the age at inflection among local chicken populations. The shape parameter for SASSO T44 chicken (0.053–0.370) and maturation rate for local chicken (0.177–0.198) were the most critical parameters. Scaling the body weights into degree of maturity highlighted the degree to which genotypes matured over time. Female chickens had the highest (P < 0.05) degree of maturity at all ages. The local chicken populations were also metabolically older than SASSO T44 chickens. Results of this study provide an opportunity to develop breeding strategies for local chicken by modifying either management practices or their genetic makeup to positively affect their growth and productivity.

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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

    PubMed  CAS  Google Scholar 

  • Aggrey, S. E., 2003. Dynamics of relative growth rate in Japanese quail lines divergently selected for growth and their control, Growth, Development and Ageing, 67, 47–54

    Google Scholar 

  • Aggrey, S.E., 2009. Logistic nonlinear mixed effects model for estimating growth parameters, Poultry Science, 88, 276–280

    Article  PubMed  CAS  Google Scholar 

  • Ahmadi, H. and Golian, A., 2008. Non-linear hyperbolastic growth models for describing growth curve in classical strain of broiler chicken, Research Journal of Biological Sciences, 3 (11), 1300–1304

    Google Scholar 

  • Ali, K.O., Katule, A.M. and Brenøe, U.T., 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, Acta Agriculturæ Scandinavica, Section A, Animal, Science, 52(1), 1–10

    Google Scholar 

  • Arnaud, L. R, Jose' M. A., Álvarez-Castro and Carlborg, Ö., 2008, Dissection of the genetic architecture of body weight in chicken reveals the impact of epistasis on domestication traits, Genetics, 179, 1591–1599

    Article  Google Scholar 

  • Brisbin, I.L., Jr., Collins, C.T., White, G.C. and McCalum, D.A., 1987. A new paradigm for the analysis and interpretation of growth data: the shape of things to come, Archiv für Geflügelkunde, 104, 552–554

    Google Scholar 

  • Darmani Kuhi, H., Kebreab, E., Lopez, S., France, J., 2003. An evaluation of different growth functions for describing the profile of live weight time (age) in meat and egg strains of chicken, Poultry Science, 82, 1536–1543

    PubMed  CAS  Google Scholar 

  • Faridi, A. Mottaghitalab, M., Rezaee, F. and France, J., 2011. Narushin-Takma models as flexible alternatives for describing economic traits in broiler breeder flocks, Poultry Science, 90, 507–515

    Article  PubMed  CAS  Google Scholar 

  • Fitzhugh Jr., H. A. and Taylor, St. C. S., 1971. Genetic analysis of degree of maturity, Journal of Animal Science, 33, 717–725

    PubMed  Google Scholar 

  • Goliomytis, M., Panopoulou, E. and Rogdakis, E., 2003. Growth curves for body weight and major component parts, feed consumption, and male broiler chickens raised to maturity, Poultry Science, 82, 1061–1068

    PubMed  CAS  Google Scholar 

  • Goto, T., Goto, N., Shiraishi, J, Bungo, T. and Tsudzuki, M., 2010, Comparison of growth curves of four breeds of native Japanese chicken, Onaga-Dori, Tosa Jidori, Ukokkei, and Hinai-Dori, Journal of Animal and Veterinary Sciences, 9(9), 1362–1365

    Google Scholar 

  • Hancock, C.E., Bradford, G.D., Emmans, G.C. and Gous, R.M., 1995. The evaluation of growth parameters of six strains of commercial broiler chickens, British Poultry Science, 36, 247–264

    Article  PubMed  CAS  Google Scholar 

  • Knížetová, H., Hyánek, J., Kníze, B. and Roubíek, J., 1991. Analysis of growth curves of fowl, I. Chickens, British Poultry Science, 32, 1027–1038

    Article  Google Scholar 

  • Mignon-Grasteau, S., Piles, M., Varona, L., de Rochambeau, H., Poivey, J.P., Blasco, A. and Beaumont, C., 2000. Genetic analyses of growth curve parameters for male and female chickens resulting from selection on the shape of growth curve, Journal of Animal Science, 78, 2515–2524

    PubMed  CAS  Google Scholar 

  • Narinc, D., Aksoy, T., Karaman, E., Ilaslan Curek, D., 2010. Analysis of fitting growth models in medium growing chicken raised indoor system, Trends in Animal & Veterinary Sciences Journal, 1(1), 12–18

    Google Scholar 

  • N'dri, A.L., Mignon-Grasteau, S., Sellier, N., 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

    Article  PubMed  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(1), 21–26

    Google Scholar 

  • Osei-Amponsah, R., 2010. Genetic and phenotypic characterisation of local chicken ecotypes of Ghana, (PhD Thesis, University of Ghana, Legon)

    Google Scholar 

  • Payne, R. W., Harding, S. A., Murray, D. A., Soutar, D. M., Baird, D. B., Welham, S. J., Kane, A. F., Gilmour, A. R., Thompson, R., Webster, R. and Wilson, T. G., 2007. GenStat Release 10 Reference Manual, Part 2 Directives, VSN International, Hemel Hempstead, UK

    Google Scholar 

  • Richards, F.J., 1959. A flexible growth function for empirical use, Journal of Experimental Biology, 10, 290–300

    Google Scholar 

  • SASSO, 2010. The world's largest choice in coloured breeders, http://www.sasso.fr/coloured-slow-growth-chickens.php?lg=en&produit=light-chickens&ref_coq=T44. Accessed March 8, 2011.

  • Sezer, M. and Tarhan, S., 2005. Comparison of three nonlinear models for describing Japanese quail growth curve, Journal of Animal and Feed Sciences, 14(2), 317–326

    Google Scholar 

  • Taylor, St C. S., 1980. Genetic size-scaling rules in animal growth, Animal Production, 30, 161–165

    Article  Google Scholar 

  • Taylor St C. S., 1985. Genetic aspects of mammalian growth and survival in relation to body size, Proceedings of the Nutrition Society, 49, 421–422

    Article  Google Scholar 

  • Zhang, H., Wu, C., Chamba, Y. Ling, Y. and Ji, S., 2008. Influences of altitude on growth curves in Tibetan chicken and its hybrid, Frontiers of Agriculture in China, 2(2), 237–241

    Article  Google Scholar 

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Acknowledgements

Appreciation is expressed to the DURAS Project for permission to use data and the University of Ghana Graduate Fellowship programme for award of fellowship to R. Osei-Amponsah.

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Correspondence to Richard Osei-Amponsah.

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Osei-Amponsah, R., Kayang, B.B., Naazie, A. et al. Characterisation of local Ghanaian chickens: growth performance evaluation based on Richards growth model and genetic size scaling. Trop Anim Health Prod 43, 1195–1201 (2011). https://doi.org/10.1007/s11250-011-9825-1

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