نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکترای ژنتیک و اصلاح نژاد دام، گروه علوم دامی، دانشکده کشاورزی، دانشگاه تبریز، اتبریز، ایران
2 . گروه علوم دامی، دانشکده کشاورزی، دانشگاه تبریز، تبریز، ایران
3 گروه علوم دامی، دانشکده کشاورزی، دانشگاه تبریز، تبریز، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
This research aimed to identify the best nonlinear mixed model to fit the growth curve of healthy and ascites-affected broiler chickens. Body weight records of 823 chickens from the paternal line B of the commercial Arian strain were used, from birth to 45 days. These chickens (381 males, 442 females) were raised at the University of Tabriz research station, with feeding and rearing conditions following guidelines from the Arian Broiler Line Breeding and Improvement Complex in Babolkanar. Results from parameter estimation with a global random effect for eight nonlinear mixed models indicated that the Mitscherlich model was selected as the best for healthy and ascites-affected males (AIC = 33945, 7012.50), and the log-logistic model was best for healthy and ascites-affected females (AIC = 41061, 1468.30). These two models, each with three parameters (B, A, and K), were examined with random effects considered for each parameter. The lowest AIC and BIC values for the log-logistic model were observed with two random parameters (B, K) at 53985 and 54038, respectively, followed by three random parameters (B, A, and K) at 54069 and 54006, respectively. Overall, the findings suggest that the Mitscherlich model for male chicks (healthy and ascetic) and the log-logistic model for female chicks provide the best fit for growth curves under both healthy and ascetic conditions. These models can be valuable in more precise genetic evaluations.
کلیدواژه‌ها [English]
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