Developing Equations for Converting Digestible Energy to Metabolizable Energy for Korean Hanwoo Beef Cattle
Ridha Ibidhi,
Rajaraman Bharanidharan,
Jong-Geun Kim,
Woo-Hyeong Hong,
In-Sik Nam,
Youl-Chang Baek,
Tae-Hoon Kim,
Kyoung-Hoon Kim
Affiliations
Ridha Ibidhi
Department of Eco-Friendly Livestock Science, Institutes of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Gangwon-do, Korea
Rajaraman Bharanidharan
Department of Agricultural Biotechnology, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
Jong-Geun Kim
Department of Eco-Friendly Livestock Science, Institutes of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Gangwon-do, Korea
Woo-Hyeong Hong
Department of International Agricultural Technology, Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Gangwon-do, Korea
In-Sik Nam
Division of Applied Bio-Industry Science, School of Animal Life Convergence Science, Hankyoung National University, Anseong-si 17579, Gyeonggi-do, Korea
Youl-Chang Baek
Animal Nutritional and Physiology Team, National Institute of Animal Sciences, Rural Development Administration, Wanju 55365, Jeollabuk-do, Korea
Tae-Hoon Kim
Department of International Agricultural Technology, Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Gangwon-do, Korea
Kyoung-Hoon Kim
Department of Eco-Friendly Livestock Science, Institutes of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Gangwon-do, Korea
This study was performed to update and generate prediction equations for converting digestible energy (DE) to metabolizable energy (ME) for Korean Hanwoo beef cattle, taking into consideration the gender (male and female) and body weights (BW above and below 350 kg) of the animals. The data consisted of 141 measurements from respiratory chambers with a wide range of diets and energy intake levels. A simple linear regression of the overall unadjusted data suggested a strong relationship between the DE and ME (Mcal/kg DM): ME = 0.8722 × DE + 0.0016 (coefficient of determination (R2) = 0.946, root mean square error (RMSE) = 0.107, p 2 = 0.999, RMSE = 0.004, p 2 = 0.9600, RMSE = 0.083, p 2 = 0.971, RMSE = 0.070, p 2 = 0.991, RMSE = 0.055, p 2 = 0.913, RMSE = 0.100, p < 0.001 for the intercept and slope), respectively. A multiple regression using the DE and dietary factors as independent variables did not improve the accuracy of the ME prediction (ME = 1.149 × DE − 0.045 × crude protein + 0.011 × neutral detergent fibre − 0.027 × acid detergent fibre + 0.683).
