Gürcan, Eser Kemal2022-05-112022-05-112017978-0-7354-1503-40094-243Xhttps://doi.org/10.1063/1.4981710https://hdl.handle.net/20.500.11776/103312nd International Conference on Advances in Natural and Applied Sciences (ICANAS) -- APR 18-21, 2017 -- Antalya, TURKEYThe most commonly used methods for analyzing time-dependent data are multivariate analysis of variance (MANOVA) and nonlinear regression models. The aim of this study was to compare some MANOVA techniques and nonlinear mixed modeling approach for investigation of growth differentiation in female and male Japanese quail. Weekly individual body weight data of 352 male and 335 female quail from hatch to 8 weeks of age were used to perform analyses. It is possible to say that when all the analyses are evaluated, the nonlinear mixed modeling is superior to the other techniques because it also reveals the individual variation. In addition, the profile analysis also provides important information.en10.1063/1.4981710info:eu-repo/semantics/closedAccessMultivariate analysis of variancegrowth curvebiological meaningful parametersmixed modelingCurveConference Object1833N/AWOS:000405093100062