Nonlinear mixed effects modeling of growth in Japanese quail

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

POULTRY SCIENCE, cilt.92, sa.7, ss.1942-1948, 2013 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 92 Sayı: 7
  • Basım Tarihi: 2013
  • Doi Numarası: 10.3382/ps.2012-02896
  • Dergi Adı: POULTRY SCIENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1942-1948
  • Anahtar Kelimeler: growth curve, hierarchical model, logistic function, COTURNIX-COTURNIX-JAPONICA, 4-WEEK BODY-WEIGHT, DIVERGENT SELECTION, GENETIC-PARAMETERS, CURVE PARAMETERS, CARCASS, PATTERNS, LINES
  • Akdeniz Üniversitesi Adresli: Evet

Özet

The aim of this study was to examine the use of a nonlinear mixed modeling approach to growth studies of Japanese quail. Weekly BW measurements of 89 female and 89 male quail were used in the study. A well-known logistic growth function was used in the analysis. The function was expanded to include a sex effect and random bird effects in beta(0) and beta(2) parameters. Analyses were performed via SAS 9.2 software. The performance of 3 models, a fixed effects model (model 1) including only sex effect, a mixed effects model (model 2) including sex effect in beta(0) and beta(2) parameters and random bird effect in beta(0), and a mixed effects model (model 3) including sex and random bird effects in beta(0) and beta(2) parameters, was compared. The minimized value of -2 times the log-likelihood, Akaike information criterion, corrected version of Akaike information criterion, and Schwarz information criterion values indicated a better fit of model 3 relative to other competitive models. Furthermore, the error variance reduction in model 2 and model 3 compared with model 1 was 60 and 65%, respectively, indicating the better fit of the mixed effect models. Significant differences between sexes were also determined in beta(0) and beta(2) parameters, in which the males, on average, had lower beta(0) and higher beta(2) parameters than females.

The aim of this study was to examine the use of a nonlinear mixed modeling approach to growth studies of Japanese quail. Weekly BW measurements of 89 female and 89 male quail were used in the study. A well-known logistic growth function was used in the analysis. The function was expanded to include a sex effect and random bird effects in beta(0) and beta(2) parameters. Analyses were performed via SAS 9.2 software. The performance of 3 models, a fixed effects model (model 1) including only sex effect, a mixed effects model (model 2) including sex effect in beta(0) and beta(2) parameters and random bird effect in beta(0), and a mixed effects model (model 3) including sex and random bird effects in beta(0) and beta(2) parameters, was compared. The minimized value of -2 times the log-likelihood, Akaike information criterion, corrected version of Akaike information criterion, and Schwarz information criterion values indicated a better fit of model 3 relative to other competitive models. Furthermore, the error variance reduction in model 2 and model 3 compared with model 1 was 60 and 65%, respectively, indicating the better fit of the mixed effect models. Significant differences between sexes were also determined in beta(0) and beta(2) parameters, in which the males, on average, had lower beta(0) and higher beta(2) parameters than females.