Affiliation:
1. Department of Animal Science, Animal Science and Food Technology Faculty Agricultural Sciences and Natural Resources University of Khuzestan Mollasani Iran
2. Department of Animal Science, Agricultural Faculty Yasouj University Yasouj Iran
3. Department of Agricultural Biotechnology, Faculty of Agricultural Sciences University of Guilan Rasht Iran
4. Department of Animal Science, Mashhad Branch Islamic Azad University Mashhad Iran
5. Animal Science Research Institute of Iran (ASRII) Agriculture Research, Education and Extension Organization (AREEO) Karaj Iran
6. The Roslin Institute University of Edinburgh—Easter Bush Campus Edinburgh UK
Abstract
AbstractIranian native chicken, including Fars indigenous chicken, is an important genetic resource due to its adaptation to stressful environmental conditions, good endurance and resistance to disease. The aim of this research was to determine the genetic infrastructure of Fars indigenous chicken using several nonlinear functions. The dataset included body weight at hatch (BW1), body weight at the 8th week (BW8), body weight at the 12th week (BW12), weight at sexual maturity (WSM), age at sexual maturity (ASM), number of eggs in the first 12 weeks of laying period (EN), egg weight at the first day of laying (EW1), average egg weight at the 28thday of laying (EW28), and average egg weight at weeks 28, 30, and 32 of the laying period (AEW). Growth models were fitted using the NLIN procedure and WOMBAT software was used to predict variance components for the best fit model parameters. Results suggested three‐parameter models, for example, Gompertz, fitted better to the data than others. The maturity weight (A), initial weight (B), and maturity rate (K) parameters in the Gompertz model were 1996.8 ± 6.63, 4.11 ± 0.03, and 0.021 ± 0.0001, respectively. The heritability of A, B, and K parameters were 0.03, 0.05, and 0.12, respectively.
Subject
General Agricultural and Biological Sciences,General Medicine
Cited by
1 articles.
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