Determination of the most appropriate regression method to estimate metabolic energy values by in vitro gas production technique

Authors : Ömer GÜLBOY, Hasan ÖNDER

Pages : 83-88

View : 18 | Download : 7

Publication Date : 2018-07-01

Article Type : Research Paper

Abstract :Estimation of metabolic energy values of feeds using in vitro gas production values is an essential issue in practice. It is determined that estimation of metabolic energy values with lonely use of in vitro gas production was not achieved in previous studies. In this study, to determine the most fitted regression model for estimating metabolic energy with use of gas production in certain incubation periods and parameters of gas production equation, models were set taking into account distributions of data and models were compared with the criteria of determination coefficient and mean square error. It is indicated that in vitro gas production values have long tailed, skewed, distributions such as Burr, Dagum and Generalized Pareto distribution. As a result, five different models with high coefficient of determination were set to estimate metabolic energy from in vitro gas production using normalized data. The model which estimates the metabolic energy with use of only gas production at 24 hours was determined as the best model from these five. Models were simplified to provide convenience to users when they use models to estimate metabolic energy.
Keywords : Gas production values, Metabolizable energy, Regression, Distribution