davoud ali saghi

This research aims to investigate the current status and estimate the extinction probability of the endangered Karakul sheep breed in Iran. To achieve this, census data and required parameters were collected from Karakul sheep flocks and available resources during project implementation. Two scenarios of past and future population dynamics assuming the continuation of the existing conditions within the Karakul sheep habitat were simulated using the Population Viability Analysis (PVA) method and VORTEX version 10.5.6. By employing the gathered biological parameters and assumptions, the simulation of past population dynamics closely replicated actual historical trends. Conversely, the simulation of future population dynamics indicated that, under current conditions, the trend of increasing inbreeding and decreasing genetic diversity within the studied population is likely to persist. The extinction probability of the Karakul sheep breed could become a reality as early as 1438, with the estimated mean time to the first extinction of this breed being 51.08 ± 4.47 years. Sensitivity testing revealed that factors such as the excessive harvest of adult ewes beyond the usual annual harvest, the frequency of feed limitations, and the use of other breeds in mating exert the most significant influence on future population viability measures, primarily due to economic considerations.

Myostatin, also called growth and differentiation factor 8 (GDF8), acts as a negative regulator of muscle growth and development; Therefore, its role in animal growth and meat production is very important. Functional studies showed that a single nucleotide polymorphism in the 3'UTR region of this gene causes the elimination of its growth inhibitory role and finally the occurrence of double - muscled sheep. The tetra primer ARMS PCR method is an easy, fast, reliable and cost-effective method for the detection of nucleotide polymorphism. The present study was conducted with the aim of identifying single nucleotide polymorphism of myostatin gene (g+6723G>A) using tetra primer ARMS PCR technique in 86 Karakul sheep. Polymerase chain reaction was optimized using 3 control samples including 1 homozygous wild-type, 1 heterozygous and 1 homozygous mutant genotype of sharole breed sheep. All the studied Karakul sheep had the G allele, and the mutant type allele (A allele) was not observed, so the frequencies of the mutant type (A) and the wild type (G) alleles were 0 and 100%, respectively. To evaluate the accuracy of tetra primer ARMS PCR technique in this locus, all tested samples were also genotyped by PCR-RFLP method. The results indicated that two methods are the same as therefore using Tetra Primer ARMS PCR method been as economical to genotyping

Crossbreeding as the fastest approach to take advantage of difference between breeds, can be an effective method to improve the efficiency of meat production in sheep. The aim of the present study is to compare Balochi lambs with the crossbred obtained from Baluchi ewes with Kurdi and Karakul rams.

In order to investigate the effect of crossbreeding on the weight performance of lambs up to weaning and the fattening period and carcass composition, three genetic groups including pure Baluchi (BB) lambs, Karakul × Baluchi (GB) and Kurdi × Baluchi (KB) crosses were used. The ewes were mated in groups of 50 and each group with 2 rams. The number of 27 purebred and crossbred male lambs were used in the form of three treatments with three replications and three lambs per replication. Data were analyzed using GLM procedure of SAS software.

The results showed that lambs from Karakul rams had the highest birth weight and lambs from Baluchi rams had the lowest birth weight (4.80 and 3.95 kg, respectively). Lambs from karakul rams had higher daily gain (260g /day) before weaning than other lambs (p<0.05).  The highest and lowest dry matter intake were in the GB group (1250g /day) and the BB group (950 g / day), respectively. The highest daily gain in GB group and the lowest in BB group were 169.2 and 93.8 g / day, respectively (p <0.05). The genetically groups had significant effect on cold and hot carcass weights (p<0.05). The effect of crossbreeding on fat thickness, fat-tail, and shank was significant (p<0.05).

Due to the suitable reproductive performance in using Karakul ram as a paternal breeding base and optimal performance in growth rate, feed consumption, conversion ratio in the pre-weaning and post-weaning periods as well as carcass characteristics including hot and cold carcass weight and less tail compared to other crossbreds used in this study, it is probably more appropriate to use Karakul rams to produce crossbred lambs.

Due to weakness, the occurrence of unwanted errors, the impact of the environment and exposure to natural events, human always make mistakes in their diagnoses of the environment or different topics, so that different people 's perception of a single and unique event may be very different and be diverse. Nowadays, with the development of image processing technology, human beings try to evaluate the speed and accuracy of their evaluation and diagnosis about objects, plants and animals by using hardware and software facilities and by using the features extracted from images related to objects, plants and animals. To increase and therefore has created a new technology called image processing and has developed it in various dimensions.

In order to identify the best artificial neural network training algorithm for estimating the weight of Kurdi sheep using digital image processing, lambs and adult animals at the sheep breeding station of North Khorasan province were weighed using a scale. During the weighing, some digital images were taken from the side view of sheep using a digital camera by discerning fixed distance. Image processing steps and feature extraction from images of sheep were done using GUI of MATLAB (R2010a) software. Then, three types of artificial neural networks were trained using different types of educational procedure, including Levenberg Marquarth (LM), Scaled Conjugate Gradient (SCG), and Bayesian Regularization (BR) Training algorithms. The extracted features from images were used as input and weight of sheep as output in the training steps of ANNs, and the accuracy of the ANN models in estimating the weight of sheep was compared.

As results, the accuracy of the trained ANNs with the three algorithms including SCG, BR and LM, in estimating the weight of sheep in the training phase was estimated to be 91.95, 94.74 and 94.94%, respectively. In the practical test, which was performed by presenting 20 images as a test to each ANN models, the trained ANNs with the SCG, BR and LM algorithm had 4.7%, 0.5% and 2.11% error in estimating the weight. The results showed that all three types of ANN training algorithms had acceptable accuracy to estimate the weight of sheep, meanwhile the accuracy of the artificial neural network trained with BR algorithm was better than the others.

The performance of the proposed method based on image processing and the use of artificial neural network is accurate enough to estimate the weight of Kurdi sheep. It had better performance. Based on the results of the present study, it is quite possible to develop applications based on the use of artificial intelligence to weigh domestic animals, and use of this technology is recommended in several cases where there is no quick and easy access to the scales.

The aims of this study were to estimate variance components, prediction of genetic parameters and correlations of growth curve parameters of nonlinear models such as Broody, Gompertz, Logistic and von in Kurdi sheep breed. Data comprised of 17659 body weights from birth to yearling of 5074 lambs belonging to 162 rams and 1968 ewes from 1996 to 2013. Growth parameters were estimated by NLIN procedure of SAS V.9.4., and parameters including A, B and K were calculated by individual fit according to the sex of the animal. Variance components were estimated by a mixed model of BLUPF90 and considering the influences of fixed effect including sex, birth type, year and month of birth. Heritability of mature weight was low in all models (0.05 to 0.09) and showed the low participation of genetic variance from the phenotypic variance. Therefore, to achieve the desired genetic gain and high accuracy, more records of lamb growth parameters are required for each ewe and ram, as well as, the improvement of environmental circumstances. Regarding high positive genetic and environmental correlations of A-B, it is expected that selection of animals with higher birth weight or improving the environmental circumstances, lead to a height mature weight, which needs more investigation over the increasing of lambing ease. The medium and negative genetic and phenotypic correlations between A-K imply the negative relationship between the mature rate and weight.

Identifying the genetic capacity of native sheep ecotypes and using that in crossbreeding for higher performance in Iran can be effective in increasing sheep profitability. The aim of this study was to evaluate the effect of crossbreeding on pre- and post weaning and carcass composition of purebred and crossbred lambs. Thus, three genetical groups such as purebred Kurdi (KK), Baluchi*Kurdi (BK) and Karakul*Kordi (GK) were used. Data were analyzed with GLM procedure using SAS 9.2. Results showed that Kordi ewes mated with Kurdi rams had the highest fertility percentage (90%). GK crossbred lambs had the highest and BK crossbred lambs had the lowest birth weight (4.89 vs. 4.15 kg, respectively). Dry matter intake of BK lambs (1360 g/d) and GK crossbred lambs (1150 g/d). The highest daily gain weight was obtained in BK genetic group and the lowest in KK genetic group was 202.6 and 164.8 g / day, respectively. The fattening lambs of GK had the highest hot and cold carcasses weight and carcass efficiency (25.9, 25.2 and 59.8, respectively). The effect of crossbreeding on fat thickness, tail and rump weight was significant and the BK lambs had the lowest fat thickness (7.2) and the highest rump weight (3.2).Based on the average performance before and after weaning as well as the appropriate carcass characteristics in lambs obtained from Karakul rams, it seems that the use of Karakul rams for the production of commercial crossbreed lambs is more appropriate.

The FecB gene is one one of the major genes associated with the twinning trait in sheep. AvaII enzyme has a restriction site containing FecB gene mutation is used for genotyping by PCR-RFLP method. Due to toxicity and expensive price, using this enzyme is not considered reasonable and economical. So, this research was performed to design specific primers for rapid and economical detection of FecB gene. Tetra ARMs PCR technique, caucuses elimination of AvaII enzyme, replacement of acrylamide gel by safe agarose gel, and of course saving time and money for genotyping. Four primers were designed, based of Tetra ARMs PCR method, and were tested on 3000 samples. After PCR and electrophoresis, three fragments with a length of 108, 213 and 276 bp were amplified and finally three genotypes were observed for FecB gene. In order to validate the designed primers, 20 samples were randomly sequenced. After validation, the result of this research indicates that the final obtained genotype in Tetra ARMs PCR method is same as the results from PCR-RFLP method. Tetra ARMs PCR method is rapid and economical for detection of FecB in a larger number of samples and can replace by enzyme digestion method which is all of more expensive.

Growth traits of domestic animals and their economic significance have been always considered important by breeders and breeding specialist. Growth models, calculated non-linearly, are used to express growth rate and statistical ratio between age and body weight (Kum et al. 2010). One of the ways to draw and describe the growth curve is to use growth models. By selection, you can change the shape of the growth curve and increase body weight (Anthony et al. 1996), although selecting to increase body weight has adverse effects such as obesity, leg problems and sudden death syndrome in poultry. Growth curve parameters are suitable and efficient criterion allowing to change the relationship between age and body weight through selection (Narince et al. 2010). Many researchers have used linear and nonlinear regression models to model the growth phenomenon. These models are more reliable (Vuori et al. 2006) than linear models due to the limited number of parameters and have a better fit of the data (Lambe et al. 2006). Depending on the breed of livestock and population studied, a growth function presents different results, so it is necessary to model growth for each herd separately (Bahreini Behzadi et al. 2015). Though many have investigated the growth traits of quails, studies estimating the heritability of growth curve parameters, genetic correlations between these parameters and genetic correlation between growth curve parameters and other traits (e.g., growth traits, production, conversion ratio and carcass traits) are very limited. Therefore, the aim of this study was to estimate heritability, phenotypic and genetic correlations of growth curve parameters and different body weight traits in Japanese quail.

Data were obtained from 242 male and 242 female quail hatched between 2017-2019 that belonged to the Khorasan Razavi Agricultural and Natural Resources Research and Education Research Center. Birds were weighed individually for four generations from hatching to 42 days of age over four generations. Pedigree information included bird number, sire number and cage number, year, month, and birthday of the bird and hatching times over 4 generations. The data were first edited with CFC software and prepared for analysis. The traits studied in this study included body weight records at different ages (1, 7, 14, 21, 28, 35 and 45 days of age). SAS software's linear model and GLM procedure were used to identify constant factors affecting traits. Nonlinear regression model was used to estimate the growth curve parameters. Covariance components and genetic parameters of growth and body weight trait at different ages in quail were estimated using animal model and restricted maximum likelihood method using multivariate analysis by DMU software.

In the present study, moderate to high heritability (0.21-0.72) was obtained for different traits of body weight. Estimation of heritability at 1 week (0.45 ± 0.06), 2 weeks (0.42 ± 0.05), 3 weeks (0.44 ± 0.06), 4 weeks (0.45 ± 0.07), 5 weeks (0.52 ± 0.07) and 6 weeks (0.72 ± 0.06) were higher than the values reported by Barbieri et al. (2015) yet less than the estimate of Narinc et al. (2010). Estimation of moderate heritability obtained for body weight at 1 and 4 weeks of age and high heritability at 5 and 6 weeks of age show that the response to selection is low at early ages and increases with age at 5 and 6 weeks. The strongest correlations were between 3-4 weeks weight (0.93) and 1-2 weeks (0.92). Except for genetic correlations between hatching weight and final ages, most correlations were positive. The highest phenotypic correlation was between 3-4 weeks (0.83) and the phenotypic correlation between hatch weight and 6 weeks (0.006) was the lowest estimate. The results showed that the Gompertz model with the highest coefficient of determination (0.998) and the lowest error variance (1.8262) was the best growth predictor model in Japanese quails. Estimation of growth curve parameters (a, b and k) were 298.58, 3.5 and 0.053, respectively. The small difference between the observed and predicted body weight values indicates that the Gampertz model was able to describe the growth of quails well. Heritability of growth curve parameters (a, b and k) were estimated to be 0.21, 0.48 and 0.22, respectively. Phenotypic and genetic correlations between parameters a and b with different traits of body weight were generally negative. The highest genetic correlation (0.86) and phenotypic (0.66) were obtained between k parameter and 3-week weight. Genetic correlation between mean growth rate (b) and various traits of body weight was 0.9-0.62. The highest genetic and phenotypic correlations were estimated between maturity rate (k) and 2, 3 and 4weeks weights. Genetic and phenotypic correlations between growth curve parameters were generally negative. The only correlation between asymptotic weight (a) and mean growth rate (b) was positive and high. These negative correlations indicate that if selection is used to increase puberty weight, we will have negative effects on growth rate and the growth rate will tend to decrease.

Estimation of heritability of growth curve parameters and their correlation with body weights at different ages showed that increasing production efficiency by selection based on growth curve parameters rather than selection for body weight could be useful. Curve deformations are more important than other parameters for productive purposes, especially the parameters a and k that are related to growth rates. Choosing a higher growth rate at 0- to 14-day-old does not change maturity weight, but choosing a higher body weight, that is, the near-inflection point of the curve, changes the shape of the curve without any significant change in parameter a. Nonetheless, k would change without any change in parameter a when limiting selection index is applied. The heritability of the Gompertz growth curve parameters and their correlation with weekly weights suggest that the growth rate parameter may be useful in selecting animals that are of early growth.

Growth and reproductive traits are well-known characteristics of living organisms because of their direct relationship with economic benefits. Genetic description of the growth curve and the correlation of its parameters with growth and reproductive traits can be useful in determining selection strategies. For this purpose, 2035 quail data, which were collected during the years 1398-1396 in the Agricultural Research and Training Center and Natural Resources of Khorasan Razavi, were used. To identify the fixed factors affecting the traits, the linear model of GLM procedure of SAS software was used and to estimate the parameters of the growth curve, the nonlinear regression model of Gampertz was used. Genetic components variance (co) of growth curve and reproduction traits was estimated using maximum likelihood multi-trait analysis by DMU software. Heritability of body weight at 35 days (BW35), asymptotic weight (a), maturity rate (k), age at inflection point (IPT), absolute growth rate (AGR), relative growth rate (RGR), number of eggs (EN) and fertility percentage (FR) were estimated respectively 0.222, 0.238, 0.416, 0.283, 168 to be 0.22, 0.222, 0.283 and 0.071. Growth curve parameters with AGR and RGR and BW35 days had high genetic correlations (0.434 - 0.924). The strongest correlation was obtained between IPT and RGR (0.924). Except for genetic correlations between EN and FR percentage with other traits, most of the genetic correlations were positive. Based on this results, management of environmental factors are effective in increasing growth and reproductive performance, and genetic selection for growth trait using growth curve parameters can improve the genetic potential of the animals.

The aim of this study was to analyze survival and its relationship with body weight and average daily gain traits in Japanese quail. For this purpose, Data base with 1854 Japanese quail survival records were used which collected during 4 generations from 1396 to 1398, by Khorasan Razavi Agricultural and Natural Resources Research and Education Center. The Survival and cmprsk statistical packages were employed to determine the non-genetic effects on survival and culling risk at different times, and variance components estimates of survival trait was performed by MCMCglmm package. Genetic parameters of traits were estimated using single and two-trait analyses via Gibbs sampling. The mean mortality of breeding period (0.206) and the average survival rate (0.793) were calculated. The estimated average heritabilities for survival in single and two-trait analyses were 0.216 and 0.153, respectively. The range of heritability of body weight in single trait analysis was estimated between 0.135 to 0.307) with a mean of 0.219 by two- trait analysis. In two-trait analysis, heritability of body weight trait ranged from 0.155 to 0.014. The highest genetic correlation was -0.3113 (between body weight and average daily gain) and the lowest genetic correlation was -0.0277 (between survival trait and average daily gain). The results showed that optimal management of environmental factors is effective in reducing the culling risk and genetic selection for survival trait can improve the genetic potential of survival.

The aim of this study was to evaluate the effect of crossbreeding on growth performance and carcass composition of purebred and crossbred Kurdilambs. Thus, two genetic groups including purebred Kurdi lambs (KK) and crossbred Kurdi*Romanov lambs (KR) were used. For analysis of carcasstraits, six lambs from each group were selected and slaughtered. The number of weaned lambs for KK and KR were 95 and 45, respectively. Ourresults indicated thatKK purebred lambs had the highest (4.5 kg) and KR crossbred lambs had the lowest (4.1 kg) birth weight (P < 0.05). CrossbredKurdi*Romanov lambs had higher average daily gain than KK purebred lambs (P < 0.05). The means of final weights of purebred lambs weresignificantly higher than crossbred lambs (54.8 vs. 41.5 kg, respectively). The genetic groups had no significant effect on cold and hot carcass weights.The effect of crossbreeding on fat thickness, fat-tail and leg was significant (P < 0.05). Crossbred lambs performed better than purebred lambs in thepre-weaning period, but purebred Kurdi lambs performed better than crossbred lambs in the fattening period. In general, it can be reported that thecrossbreeding of Kurdi sheep with Romanov sheep did not show the desireble results.

In this research, the pedigree of 2164 Turkmen horses born in 1970 to 2016 were used to estimate the pedigree completeness level, inbreeding coefficients and mean average relatedness of livestock. The average equivalent complete generation, as a measure of pedigree completeness level, estimated as 0.49. In order to predict the incidence of inbreeding in the future generations, the average correlation coefficient between live animals was estimated. The average relatedness of the population was estimated to be 0.52%. 0.5 percent of the total registered horses were inbred. Mean, minimum and maximum of inbreeding coefficients were 0.06 , 0 and 0.25 percent for whole animals, respectively. Also mean, minimum and maximum inbreeding coefficients for inbred animals were 0.125, 0.03125 and 0.25 percent, respectively. Low average coefficient of inbreeding in this study showed that the severity of kinship is low, but with the necessary genetic control at the time of mating, it is possible to prevent high inbreeding in some individuals.

This study was performed to compare different models for estimation of direct and maternal heritability and also for obtaining of genetic trend for body weight traits in Kurdi sheep of North Khorasan. The records of body weight in birth (BW, 7345 records), 3-month (3W, 5905 records), 6-month (6W ,5294 records), 9-month (9W, 3800 records) and 12-month (12W, 3863 records) weight that collected during 1990 to 2013 by Sheep Breeding Station of Shirvan were used. Estimation of genetic parameters for different traits by using of six animal models was carried out by ThrGibbsf90 software. The most suitable model for each trait was determined based on Deviance Information Criterion (DIC). The estimates of direct heritability for BW, 3W, 6W, 9W and 12W traits were 0.172± 0.0007, .0.257± 0.0007, 0.351± 0.0006, 0.120± 0.0007 and 0.131± 0.0009, respectively. In this study, the material genetic effect was significant for BW, 3W and 6W traits (P

The effect of genetic and non genetic factors on length of life and survival records of Kourdi lambs, 7469 records collected from 1988 to 2011 in Hossin Abad Sheep Breeding Station in Shirvan were used in this study that which belonging to 187 sire and 2258 dam. Data were analysed using linear models with included fixed effects of year and month and type of birth, sex of lamb, age of dam and lamb's birth weight as linear and quadratic covariate, and direct additive genetic, maternal additive genetic, maternal common environmental and residual random effects. Overall mean of length of life and cumulative survival rate up to yearling were 274.3 ± 165.3 days and 0.62 ± 0.26 percent. The effect of year, month, type of birth, birth weight and sex of lamb were significant on length of life and survival from birth to yearling. Male lambs had lower life length and survival rate than females in all ages. With increasing birth weight survival rate decreased. The direct heritabilities of length of life and survival rate estimated from different linear models were low (0.01 to 0.006). The maternal heritability ranged from zero to 0.02. The estimates of heritability in logarithmic, original and effective scale obtained from sire model with weibull function were higher than values estimated by different linear models. Estimated heritability for length of productive life was 0.013 and genetic correlation between satiability traits were high and positive.

Introduction Kurdish sheep breed is one of the most important native breeds of Iran. They are fat-tailed, large-sized, well adapted to the mountainous regions in northern Khorasan province and mainly raising for meat production under pastoral production system (28). Feed efficiency is a major component in the profitability of the small ruminant enterprise, because quality of range and pasture is low in poor environmental conditions in Iran. Growth rate and feed efficiency are two traits of great economic importance in sheep production and also Kleiber ratio has been suggested to be a useful indicator for these traits (2). There was no information regarding genetic parameters for growth traits in Kurdish sheep. Thus, the main objective of the present research was to estimate (co)variance components and genetic parameters for pre- and post-weaning growth traits and Kleiber ratio in Kurdish sheep.
Material and Methods In this study, the records of growth traits from 5144 lambs (from 161 rams and 1982 ewes) were used. The data were collected during a 17-year period (1996–2013) in Kurdish sheep Breeding Station located in Shirvan city of northern Khorasan province. Traits investigated were average daily gain from birth to weaning (ADG0-3), average daily gain from weaning to six months of age (ADG3-6), average daily gain from six to nine months of age (ADG6-9), average daily gain from nine to twelve months of age (ADG9-12) and Kleiber ratios (KR) defined as: KR1=ADG0-3/(BW3)0.75
KR2=ADG3-6/(BW6)0.75
KR3=ADG6-9/(BW9)0.75
KR4=ADG9-12/(BW12)0.75
Test of significance for the fixed effects to be included in the final functional model for each trait and calculation of least squares means was accomplished using GLM procedure of SAS software (24). The considered fixed effects were year of lambing (1996-2013), sex of lamb (male and female), type of birth (single and twin) and age of ewe (1–7 years old). (Co) variance components and genetic parameters were estimated applying restricted maximum likelihood (REML) method fitting six animal models using WOMBAT (18): y =Xb斦 Model 1
y=Xb斦빦鞩篧 Model 2
y =Xb斦빦榾 Cov(a,m)=0 Model 3
y =Xb斦빦榾 Cov(a,m)=Aσam Model 4
y =Xb斦빦榾暗ꥻ Cov(a,m)=0 Model 5
y =Xb斦빦榾暗ꥻ Cov(a,m)= Aσam Model 6
where y: is a vector of records, b: is a vector of fixed effects, a: is a vector of direct additive genetic effects, m: is a vector of maternal additive genetic effects, pe: is a vector of permanent environmental effects due to ewe, X, Za, Zm and Zpe are corresponding design matrices relating the fixed effects, direct additive genetic effects, maternal additive genetic effects and permanent environmental effects due to ewe to vector of y, respectively, e: is a vector of residual effects, and Cov(a,m): is the covariance between direct additive genetic and maternal additive genetic effects.
Akaike’s Information Criterion (AIC) was used for selecting the best model among the tested models (3): Where logLi: is the maximized log likelihood of model i at convergence and pi: is the number of the parameters in each model. Model with the lowest AIC was considered as the best model for each trait. Estimation of genetic and phenotypic correlations was accomplished using multi-trait analysis (with model 1). The fixed effects included in the multi-trait animal models were those in single-trait analyses.
Results and Discussion The pre-weaning average daily gain in Kurdish lambs was 215.33±0.96 g, while this trait in post-weaning periods had a decreased trend. These values (especially in pre-weaning period) indicated that Kurdish lambs have a good potential for growth. Results from the analysis of variance of ADG and KR in different ages showed that birth year and sex of the lambs significantly influenced studied traits (PConclusion It was observed that maternal genetic models could better explain the genetic variation observed in pre-weaning traits. Estimates of phenotypic and genetic correlations among ADG and KR traits were high in magnitude. These results suggest that selection for Kleiber ratio can result in genetic improvement of growth rate as well as feed effeciency.

The goal of This study was identification of QTL controlling body weight in different life stage of Baluchi sheep (Birth، 3، 6، 9، 12 months) using partial genome scan. For this purpose data was collected from 11 half sib families and 8 microsattelite (BM6465، BMS1636، BM4129، BMS2321، BMS2572، BM7145، BMS4008، BM8246) in ovine chromosome. The overall individuals were 434 animals which was grouped in 11 half sib families، The range of with progeny per family was 29-54. Initially respective rams and related offspring’s were genotyped for informative microsatellite markers، and finally eight microsattelite markers were selected for subsequent QTL analysis. For statistical analysis، year، sex، type of birth، age of dam was assumed as fix effect and the day of birth or age at time of measurement was fitted as covariate for each traitin the model. QTL analyses were conducted using a univariate multi-marker for half sib families، for each trait by interval mapping approach using QTL express software. As conclusion three significant QTL was found for this breed. Genome wide permutation indicated significant QTL for birth weight between markers BMS2572 and BM2321 at 171. 8 cM، (P<0. 01)، and for 9 and 12 monthly weights at the 85. 8 and 84. 8 cM، respectively (p<0. 05) between the markers BMS1636 and BM6465. The proportions of phenotypic variance explained by QTL were 13، 9، 12. 7، 15 and 10. 5 percent for birth،، 3، 6، 9 and 12 monthly weights respectively. As significant study result of study perhaps could be good indicator for designing proper breeding program in this breed.