@article{MAKHILLJAVA20109142318,
    title = {Comparison of Non-linear Growth Models to Describe the Growth in Japanese Quail},
    journal = {Journal of Animal and Veterinary Advances},
    volume = {9},
    number = {14},
    pages = {1961-1966},
    year = {2010},
    issn = {1680-5593},
    doi = {javaa.2010.1961.1966},
    url = {https://makhillpublications.co/view-article.php?issn=1680-5593&doi=javaa.2010.1961.1966},
    author = {Tulin,Mehmet Ziya,Dogan and},
    keywords = {Growth curve,goodness of fit,Japanese quail,Non-linear regression models,breeding,Turkey},
    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.}
    }