Comparison of Non-linear Growth Models to Describe the Growth in Japanese Quail

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Narinç D., Karaman E., FIRAT M. Z., AKSOY T.

JOURNAL OF ANIMAL AND VETERINARY ADVANCES, vol.9, no.14, pp.1961-1966, 2010 (SCI-Expanded, Scopus)

  • Publication Type: Article / Article
  • Volume: 9 Issue: 14
  • Publication Date: 2010
  • Doi Number: 10.3923/javaa.2010.1961.1966
  • Journal Name: JOURNAL OF ANIMAL AND VETERINARY ADVANCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1961-1966
  • Keywords: Growth curve, goodness of fit, Japanese quail, Non-linear regression models, breeding, Turkey, CURVE PARAMETERS, WEIGHTS, BODY, LINES
  • Open Archive Collection: AVESIS Open Access Collection
  • Akdeniz University Affiliated: Yes

Abstract

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(2) = 0.99998, R= 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.

 

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-2 = 0.99998, R= 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.