Tulin  Aksoy, Mehmet Ziya  Firat, Dogan  Narinc, Emre  Karaman, 
    Comparison of Non-linear Growth Models to Describe the Growth in Japanese Quail,
    Journal of Animal and Veterinary Advances,
    Volume 9,Issue 14,
    2010,
    Pages 1961-1966,
    ISSN 1680-5593,
    javaa.2010.1961.1966,
    (https://makhillpublications.co/view-article.php?doi=javaa.2010.1961.1966)
    Abstract: Growth is one of the well-known features in biological creatures. 
  The evolution of body weight during growth is of particular importance in both 
  breeding and management. In the present study, the adequacy of 11 mathematica 
  l functions, (Gompertz, Richards, Logistic, Bertalanffy, Brody, Negative Exponential, 
  Morgan-Mercer Flodin and three Hyperbolastic models) used to model growth characteristics 
  of Japanese quails were compared. For this purpose, the live-weight data obtained 
  weekly from 499 quails were fitted to aforementioned non-linear models. The 
  results of the analysis indicated that the Gompertz model is the most appropriate 
  one in terms of goodness of fit criteria (R<SUP>2</SUP> = 0.99998, R<SUP-2</SUP>= 0.99997, MSE = 0.318, RM = 0.03019, RSD = 0.60868, AIC = -2.010, BIC = -2.172) 
  followed by the Richards and H3 models. Weight and age at the inflection point 
  for Gompertz equation were calculated as 81.70 g and 14.95th day, respectively.
    Keywords: Growth curve;goodness of fit;Japanese quail;Non-linear regression models;breeding;Turkey