2013
DOI: 10.3382/ps.2012-02380
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Growth curves for ostriches (Struthio camelus) in a Brazilian population

Abstract: The objective of this study was to fit growth curves using nonlinear and linear functions to describe the growth of ostriches in a Brazilian population. The data set consisted of 112 animals with BW measurements from hatching to 383 d of age. Two nonlinear growth functions (Gompertz and logistic) and a third-order polynomial function were applied. The parameters for the models were estimated using the least-squares method and Gauss-Newton algorithm. The goodness-of-fit of the models was assessed using R(2) and… Show more

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Cited by 15 publications
(7 citation statements)
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“…Understanding and estimating, the defining characteristics of growth processes are key components of developmental research. Growth curve is an effective tool for biological analysis, investigation and interpretation of growth relationships, Ramos et al (2013). Nonlinear growth curves are essential for capturing these various change components like body weight, inflection point and parameter can easily be calculated by growth curve models, Nahashon et al (2006).…”
Section: Model Parametersmentioning
confidence: 99%
“…Understanding and estimating, the defining characteristics of growth processes are key components of developmental research. Growth curve is an effective tool for biological analysis, investigation and interpretation of growth relationships, Ramos et al (2013). Nonlinear growth curves are essential for capturing these various change components like body weight, inflection point and parameter can easily be calculated by growth curve models, Nahashon et al (2006).…”
Section: Model Parametersmentioning
confidence: 99%
“…The equations and parameters for the growth models applied are given in Supplemental Table S1. The non-linear modeling was carried out using the NLS procedures by the Gauss-Newton algorithm [12]. The goodness-of-fit of the functions was assessed based on the coefficient of determination (R 2 ).…”
Section: Discussionmentioning
confidence: 99%
“…where Ut is the maturity degree (%), Yt is the weight (kg) of the ostrich at 90, 180, and 400 days, and A is the asymptotic weight. The Gompertz function was chosen because of its economy of parameters and ability to describe relative growth rate as a simple function of size (Ramos et al, 2013); it has been used in other studies to evaluate ostrich growth (Niemann, Brand, & Hoffman, 2018). In addition, the function offers the possibility of describing continuous growth, sigmoid forms, asymptotes, inflection points, and parameters with biological interpretations.…”
Section: Datamentioning
confidence: 99%