PJB-2021-648
The Proposed Modified Schnute Model: Biological Development
Olgun Duran
Abstract
Statistical modeling with growth data is the most efficient way to get more objective results and understand biological development. Schnute growth model is a large-scale model that includes many nonlinear growth models, it offers optimum parameter estimates compared to other growth models, especially regardless of whether the growth curve has an asymptotic feature. In recent years, in the literature studies, there are approaches in the theoretical and applicational fields in which the equations are modified to make sense of growth equations biologically. The purpose of modifying the equations is to convert growth parameters a,g,h, into biologically meaningful parameters such as maximum value, A; rapid specific rate of growth,µ_m and lag time λ. In this study, it is demonstrated that by which mathematical operations the parameters of the Schnute growth model are converted to biologically significant parameters and a new modified Schnute growth model is presented to the literature.
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