Modeling of individual egg weights of Lohmann-Brown layer hens

This study was carried out to determine the most suitable model for egg weights of Cubic, Gompertz, Logistics, Gamma, Richard, Piecewise Quadratic, Orscov, and Sigmoaidal models, which are widely used in estimation. Lohmann-Brown Classic laying hens raised Ondokuz Mayıs University Research Application farm were as animal material. In modeling 351 layer 3-storey cages, individual weight data measured at weekly intervals, 32 on 1st floor, 17 2nd 27 3rd taken into account, a total 76 hens' out. Coefficient determination, mean square error, Durbin-Watson, Akaike Information Criteria values account comparing compatibility models with point distribution. According comparison criteria, it determined that best estimation Richard. It closest predictions Richard prediction obtained from Logistics Gompertz models. addition, concluded Orskov, Sigmoidal, Quadratic piecewise regression had worst fit.