Mustafa ŞAHİN, Tolga TOLUN, Merve BAYAZIT

Modeling of In Vitro Gas Production

In this study, in vitro gas production values (hour/ml) of standard, alfalfa and corn plants at 3, 6, 9, 12, 24, 36, 48, 72 and 96 hours in Kahramanmaras Sutcu Imam University Animal Science Department Feeds and Animal Nutrition Laboratory. ) used cubic piecewise regression, Richard, logistics, gamma, gompertz, Orscov, sigmoaidal and quadratic piecewise regression models were used. In the modeling study, mean squares of error, determination coefficient, Akaike information criterion and Durbin-Watson autocorrelation values were taken into account for each model of in vitro gas production values. As a result of the study, it was concluded that logistic and gompertz models had the best results in corn and alfalfa, standart, while the Gamma model had the worst results in all feeds in terms of the comparison criteria, mean squares of error, coefficient of determination, Akaike information criterion and Durbin-Watson Autocorrelation values.

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