estimation of genetic parameters economic traits fars native hens using bayesian statistical approach

نویسندگان

فاطمه جعفری

دانشجوی کارشناسی ارشد، گروه علوم دامی، دانشکدۀ علوم دامی و صنایع غذایی، دانشگاه کشاورزی و منابع طبیعی رامین، رامین، خوزستان ـ ایران محمد تقی بیگی نصیری

استاد، گروه علوم دامی، دانشکدۀ علوم دامی و صنایع غذایی، دانشگاه کشاورزی و منابع طبیعی رامین، رامین، خوزستان ـ ایران جمال فیاضی

دانشیار، گروه علوم دامی، دانشکدۀ علوم دامی و صنایع غذایی، دانشگاه کشاورزی و منابع طبیعی رامین، رامین، خوزستان ـ ایران محمد علی لغوی

کارشناسی ارشد، بخش امور دام، سازمان جهاد کشاورزی استان فارس، شیرازـ ایران

چکیده

genetic parameters direct and maternal in fars native flows using the bayesian statistical approach, was estimation with consider body weight at a day of age (bw1), body weight at eight weeks of age (bw8), body weight at 12 weeks of age (bw12), age at sexual maturity (asm), egg number (egp) and mean egg weight during 28th, 30th and 32nd week ages (av283032) fars native flows. genetic parameters were estimated by six different animal models and mtgsam software. the best model was determined using the akaike information criterion for each trait. the direct heritability (h2) estimates basis best model bw1, bw8, bw12, asm, egp and av283032 0.36, 0.33, 0.30, 0.48, 0.26 and 0.25, respectively. maternal effects were significant for asm, egp and av283032 traits studied and estimates of maternal environmental variance as a proportion of phenotypic variance (c2) varied from 0.01 (egp and av283032) to 0.39 (bw1). results present research showed that bayesian approach by considering all factors more complicated models was selected as a model.

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