Indian Journal of Animal Research

  • Chief EditorK.M.L. Pathak

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Comparison and estimation of the growth curve models of Hanwoo steer (Bos taurus coreanae)

Hu-Rak Park, Seung-Hoon Eum, Seung-Hee Roh, Jakyeom Seo, Seong-Keun Cho, Byeong-Woo Kim
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1Department of Animal Science, College of Natural Resources and Life Science - Life and Industry Convergence Research Institute, Pusan National University, Miryang, Gyeongnam 50463, Republic of Korea.
Cite article:- Park Hu-Rak, Eum Seung-Hoon, Roh Seung-Hee, Seo Jakyeom, Cho Seong-Keun, Kim Byeong-Woo (2018). Comparison and estimation of the growth curve models of Hanwoo steer (Bos taurus coreanae). Indian Journal of Animal Research. 54(2): 259-262. doi: 10.18805/ijar.B-916.
The present study was conducted to estimate and compare the three types of growth models in Hanwoo steer (Bos aurus coreanae). The Gompertz, Von Bertalanffy, and Logistic nonlinear models were used. A total of 2,239 Hanwoo steers (Bos taurus coreanae) from 6 months to 24 months old (2003 to 2014) and 8,916 growth data from the Hanwoo improvement Center were used to estimate the growth model which included three parameters. These parameters were A, mature body weight; b, growth ratio; and k, intrinsic growth rate. Regression equations using the Gompertz, Von Bertalanffy, and Logistic models were calculated as respectively. The mean square errors (MSEs) for each model were 1945.9, 1958.7, and 1935.0, respectively. The equation using the Logistic model showed the lowest value among three models. The estimated birth weights from the Gompertz, Von Bertalanffy, and Logistic models were 50.35 kg, 36.94 kg, and 74.13 kg, respectively. Furthermore, the estimated mature weights from the Gompertz, Von Bertalanffy, and Logistic models were 919.0 kg, 1043.3 kg, and 770.0 kg, respectively. In addition, the estimated age and body weight at inflection from the Gompertz, Von Bertalanffy, and Logistic models were 349.0 days and 338.1 kg, 317.9 days and 308.2 kg, and 397.8 days and 385.0 kg, respectively. Based on the results, we concluded that the regression equation using the Logistic model was the most appropriate among the growth models for measuring data. However, further studies would be needed in order to obtain more accurate parameters using a much wider period of data from birth to shipping age. 
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