Studying Genetic Diversity in Moghani Sheep Using Pedigree Analysis
نویسندگان
چکیده
Studbook information collected from 1988 to 2011 in Jafarabad breeding station of Moghani sheep, north-west of Iran, related to 9,457 lambs were used to study the genetic diversity and to evaluate the effectiveness of an implemented rotational mating scheme using pedigree analysis. Lambs born during 2009-2011 were considered as reference population. Means inbreeding and average coancestry for the reference population were computed as 0.40 and 0.74%, respectively. The mean generation interval was 4.48 years with a longer generation interval on dam-progeny pathways. Average equivalent complete generation, as a measure of pedigree completeness, was 3.37. Effective population sizes were estimated to be 226 and 276 from the individual rate in coancestry and from the individual increase in inbreeding, respectively. Genealogical parameters estimated based on probabilities of gene origin including the effective numbers of founders, the effective numbers of ancestors, the effective numbers of founder genomes (founder genome equivalents) and the effective numbers of non-founder genomes considering the reference population were estimated as 143, 117, 67, and 126, respectively. Approximately, 50% of the total genetic variation was explained by the 43 most influential ancestors, with a maximum individual contribution of 3.27%. The results indicated that although some evidences on bottlenecks and genetic drift during recent years were identified in the studied population, a considerable genetic variability existed in this population due to implementation of an efficient rotational mating scheme for controlling inbreeding.
منابع مشابه
Estimation of genetic parameters of litter size in Moghani sheep using threshold model via Bayesian approach
This study was conducted to estimate the genetic parameters of litter size (LS) in Moghani sheep using threshold model via Bayesian approach. The data originated from the Jafar-Abad Station of Ardabil province, Iran, and included 9698 lactation records of 4977 ewes with lambings from 1995 until 2010. The pedigree file consisted of data on animals born from 1987 to 2010. The significance of fixe...
متن کاملفراسنجههای ژنتیکی صفات بیومتریک در گوسفندان مغانی
The present study aimed to estimate the genetic for parameters of biometric traits in Iranian Moghani-sheep breeds. The data set consisted 15115 biometric records from 3702 individual progenies of 499 male and 3203 female, involve for a 15 years period (1996 to 2011). obtained from Moghani sheep breeding and raising station. Variance components and genetic parameters were estimated using ...
متن کاملGenetic Polymorphism of GDF9 Gene in Iranian Moghani Sheep Breed
The families of TGF-β proteins are the most important growth factors in the ovary for growth and differentiation of early ovarian follicles. Three related oocyte-derived members of the transforming growth factor-β superfamily namely growth differentiation factor 9 (GDF9), BMP15 and BMPR-IB have been shown to be essential for follicular growth and ovulation. Different mutations in the GDF9 gene ...
متن کاملInbreeding Effects on Average Daily Gains and Kleiber Ratios in Iranian Moghani Sheep
The objective of the present study was to evaluate the effects of inbreeding on average daily gains and Kleiber ratios in Moghani sheep. Traits included average daily gain from birth to 3 months (ADG1), average daily gain from birth to 6 months (ADG2), average daily gain from 3 months to 6 months (ADG3), average daily gain from 3 months to 9 months (ADG4), average daily gain from 3 months to ye...
متن کاملInbreeding Effect on Genetic Parameters of Economic Traits in Moghani Sheep Breed
The aim of this study was to investigate the effect of inbreeding on the estimation of genetic parameters of weight traits at different ages in Moghani sheep. In the present study, the information of 11721 Moghani sheep in Jafarabad Moghan breeding station from 1987 to 2011 was used. Genetic parameters were estimated using single trait model with covariate and classification and without inbree...
متن کامل