Document Type : Research Paper

Authors

• Fatemeh Jafari ¹
• Mohammad Taghi Beige Nasiri ²
• Jamal Fayazi ³
• Mohammad Ali Loghavi ⁴

¹ M.Sc. Student, Department of Animal Science, Faculty of Animal Science and Food Industries, Agriculture and Natural Resources University of Ramin, Ramin, Khouzestan, Iran

² Professor, Department of Animal Science, Faculty of Animal Science and Food Industries, Agriculture and Natural Resources University of Ramin, Ramin, Khouzestan, Iran

³ Associate Professor, Department of Animal Science, Faculty of Animal Science and Food Industries, Agriculture and Natural Resources University of Ramin, Ramin, Khouzestan, Iran

⁴ M.Sc. Animal Affairs Section, Jihad –E-Agriculture of Fars Province, Shiraz, Iran

Abstract

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 28^th, 30^th and 32^nd 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.

Keywords

• Akaike Criterion
• Bayesian statistical method
• direct heritability
• effects maternal
• MTGSAM software

20.1001.1.20096776.1394.17.2.2.6