Application of Nonlinear Functions to Describe the Growth of F1(Ho × Luong Phuong) Chickens

Received: 10-05-2021

Accepted: 09-12-2021

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CHĂN NUÔI – THÚ Y – THỦY SẢN

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Bo, H., & Nhung, D. (2024). Application of Nonlinear Functions to Describe the Growth of F1(Ho × Luong Phuong) Chickens. Vietnam Journal of Agricultural Sciences, 20(1), 24–33. http://testtapchi.vnua.edu.vn/index.php/vjasvn/article/view/930

Application of Nonlinear Functions to Describe the Growth of F1(Ho × Luong Phuong) Chickens

Ha Xuan Bo (*) 1 , Dang Thuy Nhung 2

  • 1 Khoa Chăn nuôi và Nuôi trồng thủy sản, Học viện Nông nghiệp Việt Nam
  • 2 Khoa Chăn nuôi, Học viện Nông nghiệp Việt Nam
  • Keywords

    Nonlinear models, growth models, F1(Ho Luong Phuong) chickens

    Abstract


    This study was carried out at animal farm of Vietnam National University of Agriculture from June 2019 to March 2021 in order to describe the growth and determine the best growth models to estimate body weight of F1(Ho Luong Phuong) chickens. A total of six functional growth models, Logistic, von Bertalanffy, Gompertz, Richards, Brody and Negative Exponential were used to estimate body weight from 1 to 15 weeks of age. Data on growth performance were collected from 210 chickens (105 cocks and 105 hens). The results showed that, Logistic and Gompertz functions best described the growth of HLP chickens with the highest coefficient of determination (96.55 and 96.79%) and the lowest MSE (32,371.80 and 18,625.90). The age and weight of start of growth acceleration phase were 2.7 weeks and 280g for cocks and 3.1 weeks and 264g for hens. The age and weight of inflection point were 7.82 weeks and 1,400.63g for cocks and 12.9 weeks and 970.65g for hens. The age and weight of end of growth deceleration phase were 12.9 weeks and 2,521g (cocks) and 17.6 weeks and 2,375g (hens). Polynomial functions were suitable to estimate the association between feed consumption and feed conversion ratio with the age of the birds.

    References

    Brody S. (1945). Bioenergetics and Growth.Reinhold Publishing. Baltimol, New York.

    Bùi Hữu Đoàn & Hoàng Thanh (2011). Khả năng sản xuất và chất lượng thịt của tổ hợp gà lai kinh tế 3 giống (Mía - Hồ - Lương phượng). Tạp chí Khoa học và Phát triển.9(6): 941-947.

    Castillo D.E. (2007). Process optimization: a statistical approach. (105). Springer Science & Business Media. pp. 118-122.

    Đặng Vũ Hoà (2015). Một số đặc điểm sinh học, khả năng sản xuất của vịt Đốm (Pất Lài) và con lai giữa vịt Đốm với vịt T14 (CV. Super M3).Luận án Tiến sỹ chuyên ngành chăn nuôi. Viện Chăn nuôi, 135tr.

    Darmani Kuhi H., Kebreab E., Lopez S. & France J. (2003). A comparative evaluation of functions for the analysis of growth in male broilers. The Journal of Agricultural Science.140(4): 451.

    Darmani Kuhi H., Porter T., Kebreab E., Lopez S. & France J. (2007). A comparative evaluation of functions for the analysis of growth in turkeys. Proceedings of the 16th European Symposium on Poultry Nutrition. pp. 109-111.

    Darmani Kuhi H., Porter T., López S., Kebreab E., Strathe A., Dumas A., Dijkstra J. & France J. (2010). A review of mathematical functions for the analysis of growth in poultry. World's Poultry Science Journal.66(2): 227-240.

    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). XXIV. 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. In a letter to Francis Baily, Esq. FRS &c. Philosophical transactions of the Royal Society of London.(115): 513-583.

    Goshu A.T. & Koya P.R. (2013). Derivation of inflecton point of nonlinear regression curves - implications to statistics. American Journal of Theoretical and Applied Statistics.2(6): 268-272.

    Hà Xuân Bộ, Lê Việt Hà & Đặng Thuý Nhung (2021). Khả năng sinh trưởng và hiệu quả sử dụng thức ăn của gà lai Hồ x Lương Phượng. Tạp chí Khoa học kỹ thuật chăn nuôi.266: 9-14.

    Nguyen Hoang T., Do H.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.

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

    Pearl R. & Slobodkin L. (1976). The growth of populations. The quarterly review of biology.51: 6-24.

    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.

    Richards F.J. (1959). A flexible growth equation for empirical use. Journal of Experimental Botany.10: 290-300.

    Von Bertalanffy L. (1957). Quantitative laws for metabolism and growth. The quarterly review of biology.32(3): 217-231.

    Vũ Đình Tôn & Hán Quang Hạnh (2010). Xác định mức sử dụng bột giun quế (Perionyx excavatus) thích hợp trong khẩu phần ăn của gà Broiler (Hồ ×Lương Phượng) nuôi thả vườn. Tạp chí Khoa học và Phát triển.8(6): 949-958.

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