Modelling Growth Curves to Predict Live Weight, Weight Gains and Suitable Slaughter Age for Hac Phong chicken

Date Received: 07-02-2025

Date Published: 21-02-2025

##submissions.doi##: https://doi.org/10.1234/d3ekk632

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Issue: Vol. 22 No. 10 (2024)

Section:

CHĂN NUÔI – THÚ Y – THỦY SẢN

How to Cite:

Giang, N., Doanh, B., Giang, N., Vinh, N., & Bo, H. (2025). Modelling Growth Curves to Predict Live Weight, Weight Gains and Suitable Slaughter Age for Hac Phong chicken . Vietnam Journal of Agricultural Sciences, 22(10). https://doi.org/10.1234/d3ekk632

Modelling Growth Curves to Predict Live Weight, Weight Gains and Suitable Slaughter Age for Hac Phong chicken

Nguyen Thi Phuong Giang , Bui Huy Doanh , Nguyen Thi Chau Giang , Nguyen Thi Vinh , Ha Xuan Bo (*)

  • Tác giả liên hệ: hxbo@vnua.edu.vn

    • Keywords

    Growth curve, local chicken, Hac Phong chicken, nonlinear models

    Abstract


    This study was carried out to determine growth curve models for estimating live weight, weight gains and suitable slaughter age for Hac Phong chicken. A total of 100 (53 males and 47 females) birds were raised and and individual live weight data was collected every week from 1 to 20 weeks of age. The data for growth performance was analyzed in R software (version 4.2.2). Seven growth functions, viz. (von Bertalanffy, Janoschek, Gompertz, Logistic, Lopez, Richards, and Weibull), were used to be fitted with the growth data. The results showed that Lopez function was the best model to describe the growth of Hac Phong males and females. The weekly gain (WG) reached the maximum at the 6th week age for both male and female chockens. The maximum of the average weekly gain (AWG) was obtained at the 17.34th week for both of the male and female; 21.72th week of age and the 12.32th week of age for the male and the female, respectively. This suggested the suitable slaughter ages are 17.73 weeks for both of the males and females, with a weights of 1,105g.

    References

    Bo H. X., Hoa D. V., Nhung D. T., Hue D. T. & Luc D. D. (2022). Nonlinear growth models for indigenous Vietnamese Ri chicken. Journal of Animal and Plant Science. 32(6): 1535-1541.

    Drummond H.E. & Goodwin J. (2004). Agricultural Economics, Second Edition. Upper Saddle River, New Jersey, UK.

    Elzhov T.V., Mullen K.M., Spiess A., Bolker B., Mullen M.M. & Suggests M. (2016). Package ‘minpack. lm’. Title R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK, Plus Support for Bounds’. Retrieved from https://cran.rproject.org/web/ packages/minpack. lm/minpack. lm.pdf on

    Jul 12, 2021.

    García-Muñiz J., Ramírez-Valverde R., Núñez-Domínguez R. & Hidalgo-Moreno J.A. (2019). Dataset on growth curves of Boer goats fitted by ten non-linear functions. Data Brief. 23: 103672.

    Goliomytis M., Panopoulou E. & Rogdakis E. (2003). Growth curves for body weight and major component parts, feed consumption, and mortality of male broiler chickens raised to maturity. Poultry Science. 82(7): 1061-1068.

    Gompertz B. (1825). On nature of the equation expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Philosophical Transactions of the Royal Society. 115: 513-585.

    Hà Xuân Bộ & Đặng Thuý Nhung (2022). Sử dụng một số hàm hồi quy phi tuyến tính mô tả sinh trưởng của gà F1 (Hồ  Lương Phượng). Tạp chí Khoa học Nông nghiệp Việt Nam. 20(1): 24-33.

    Hoàng Anh Tuấn, Hà Xuân Bộ, Phạm Kim Đăng, Nguyễn Xuân Trạch, Nguyễn Hoàng Thịnh & Bùi Hữu Đoàn (2022). Mô hình hoá động thái sinh trưởng để ước tính khối lượng, tăng khối lượng và tuổi giết thịt phù hợp của gà Mía thương phẩm. Tạp chí Khoa học Nông nghiệp Việt Nam.

    (7): 900-910.

    Kuhi H.D., 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 Science. 82(10): 1536-1543.

    López S., France J., Gerrits W.J., Dhanoa M.S., Humphries D.J. & Dijkstra J. (2000). A generalized Michaelis-Menten equation for the analysis of growth. Journal of Animal Science. 78(7): 1816-28.

    Manjula P., Park H.B., Seo D., Choi N., Jin S., Ahn S.J., Heo K.N., Kang B.S. & Lee J.H. (2018). Estimation of heritability and genetic correlation of body weight gain and growth curve parameters in Korean native chicken. Asian-Australasian Journal of Animal Sciences. 31(1): 26-31.

    Mata-Estrada A., González-Cerón F., Pro-Martínez A., Torres-Hernández G., Bautista-Ortega J., Becerril-Pérez C.M., Vargas-Galicia A.J. & Sosa-Montes E. (2020). Comparison of four nonlinear growth models in Creole chickens of Mexico. Poultry Science. 99(4): 1995-2000.

    Miguel J., Ciria J., Asenjo B. & Calvo J.L. (2008). Effect of caponisation on growth and on carcass and meat characteristics in Castellana Negra native Spanish chickens. Animal. 2(2): 305-311.

    Murthy D.P., Xie M. & Jiang R. (2004). Weibull models. (505). John Wiley & Sons. pp. 1-17.

    Nguyen Hoang T., Do H.T.T., Bui D.H., Pham D.K., Hoang T.A. & Do D.N. (2021). Evaluation of non‐linear growth curve models in the Vietnamese indigenous Mia chicken. Animal Science Journal. 92(1): e13483.

    Nguyễn Thị Phương Giang, Nguyễn Thị Châu Giang, Nguyễn Văn Thông, Nguyễn Thị Vinh & Phạm Kim Đăng (2022). Đặc điểm ngoại hình và khả năng sinh trưởng của gà Hắc Phong. Tạp chí Khoa học Nông nghiệp Việt Nam. 20(6): 722-731.

    Nguyễn Xuân Trạch (2023). Ứng dụng quy luật hiệu suất giảm dần trong phát triển chăn nuôi bền vững - Bài tổng luận. Tạp chí Khoa học Nông nghiệp Việt Nam. 21(9): 1202-1215.

    Osei-Amponsah R., Kayang B.B., Naazie A., Barchia I.M. & Arthur P.F. (2014). Evaluation of models to describe temporal growth in local chickens of Ghana. Iranian Journal of Applied Animal Science. 4(4): 855-861.

    Porter T., Kebreab E., Kuhi H.D., Lopez S., Strathe A. & France J. (2010). Flexible alternatives to the Gompertz equation for describing growth with age in turkey hens. Poultry Science. 89(2): 371-378.

    R Core Team (2022). R: A language and environment for statistical computing. R foundation for statistical computing Vienna, Austria. Retrieved from https://www.R-project.org/ on Mar 15, 2023.

    Richards O.W. & Kavanagh A.J. (1945). The analysis of growing form. Oxford: Oxford Univ.

    Rizzi C., Contiero B. & Cassandro M. (2013). Growth patterns of Italian local chicken populations. Poultry Science. 92(8): 2226-2235.

    von Bertalanffy L. (1957). Quantitative laws for metabolism and growth. The Quarterly Review of Biology. 32(3): 217-231.

    Yang Y., Mekki D.M., Lv S.J., Wang L.Y., Yu J.H. & Wang J.Y. (2006). Analysis of fitting growth models in Jinghai mixed-sex yellow chicken. International Journal of Poultry Science. 5(6): 517-521.