hamide nuri sadegh; ali maghsoudi; mohammad rokoei; Hadi Faraji Arogh; mehdi jahantigh
Volume 24, Issue 1 , April 2022, , Pages 13-21
Abstract
The aim of this research was to investigate the immune system responses against sheep red blood cells (SRBC) and Newcastle disease virus (NDV) in two sexes of both wild and Italian speckled quails. To compare phenotypic differences of two sexes for humoral immune responses a one-way analysis was applied, ...
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The aim of this research was to investigate the immune system responses against sheep red blood cells (SRBC) and Newcastle disease virus (NDV) in two sexes of both wild and Italian speckled quails. To compare phenotypic differences of two sexes for humoral immune responses a one-way analysis was applied, and a simple animal model using the MCMCglmm package of R software was used for genetic analysis, assuming variance components between the two sexes are different. Phenotypic comparison between males and females did not show a significant difference in any of the strains. In both strains, heritability of humoral immunity in males was higher than females. Results indicated that heritability of IgT in males (0.187), and IgY in females (0.177) were higher than other estimates in wild strain. The highest heritability was related to the NDV, which was estimated to be 0.214 and 0.268 in males and females, respectively. Therefore, genetic selection for IgN can be expected to improve the performance of the birds’ humoral immune system. Likewise, according to the higher estimates of immune responses in males, genetic selection of humoral immune responses for IgN, leads to higher genetic progression.
Noorolahe SHahroodi; Mohammad Rokouei; Hadi Faraji- Arough; Ali Maghsoudi; Morteza Kykha Saber
Volume 23, Issue 4 , January 2022, , Pages 491-500
Abstract
The purpose of this study was to fit different nonlinear models to describe growth curve and selection the best model to describe a growth curve for calves of Sistani calves. Body weight records of 241 calves (118 males and 123 females) collected by the Sistani Dairy Cattle Research Station of Zahak ...
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The purpose of this study was to fit different nonlinear models to describe growth curve and selection the best model to describe a growth curve for calves of Sistani calves. Body weight records of 241 calves (118 males and 123 females) collected by the Sistani Dairy Cattle Research Station of Zahak from year 2010 to 2017 were used. Four nonlinear models (Gompertz, Logistic, Richards, and Weibull) were fitted to the body weight records and the best model was selected by the goodness-of-fit criteria (Mean square error, Bayesian information criterion, Akaike information criterion and corrected coefficient of determination). According to goodness-of-fit criteria, Richards model was the most appropriate model to describe the growth curve in male and female calves. The effect of sex on curve parameters was significant in many functions (P <0.05). Logistic and Richards models had the highest and the lowest initial weight parameter, respectively. Male calves reached to the inflection point in a higher age and weight compared to female calves. According to the results of this study, a proper model can be used to study the growth pattern of this breed in order to better nutritional management and selection for rapid growth with high accuracy.
Ali Vojdan Hassan Kiyadeh; Mohammad Rokouei; Gholam Reza Dashab; Ahmad Reza Seyedalian; Hadi Faraji- Arough
Volume 21, Issue 2 , July 2019, , Pages 181-192
Abstract
This research was conducted with the aim of estimation of environmental factors affecting survival and estimate the genetic parameters survival from 1 to the last recording date in Zandi sheep. The survival records of 9558 Zandi sheep from 273 rams and 2328 ewes collected by Animal Breeding Center of ...
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This research was conducted with the aim of estimation of environmental factors affecting survival and estimate the genetic parameters survival from 1 to the last recording date in Zandi sheep. The survival records of 9558 Zandi sheep from 273 rams and 2328 ewes collected by Animal Breeding Center of Iran during the 25 years (1987 to 2011) were used in the analysis. The effective factors on survival and culling risk were estimated by Survival and cmprsk package. Estimation of variance components was performed by using of exponential distribution for censored dates by the fitting of model with additive genetic effect (model 1) and joint additive genetic and maternal permanent environmental of effects (model 2) under Bayesian approach and Gibbs sampling. A total of 1000000 samples with a burn-in of 100000 and a sampling interval of 75 were generated to estimate the posterior distribution of variance components. The results showed that year, month, birth weight, type birth, sex (P<0.001) and dam age (p<0.01) had significant effect on survival trait. the direct heritability of survival trait using models 1 and 2 was 0.184( 0.136-0.264) and 0.162( 0.120-0.202), respectively. the proportion of permanent variance to phenotypic variance was 0.046( 0.063- 0.031). According to the results of this study, genetic improvement of survival trait in zandi lamb is possible by genetic selection and the culling risk reduction is effective via management of environmental factors.
Maryam Arianfar; Mohammad Rokouei; Gholamreza Dashab; Hadi Faraji- Arough
Volume 20, Issue 3 , November 2018, , Pages 351-363
Abstract
The objective of this study was to compare some nonlinear functions (Wood, Dhanoa, Wilmink, Ali-Schaeffer, Cappio Borlino, Cobby – Le Du, Dijkstra, Rook, Gous and Nelder) to describe the milk production curve of Iranian Holstein cattle. A dataset consisted of 6079976, 4879486 and 3312416 test-day ...
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The objective of this study was to compare some nonlinear functions (Wood, Dhanoa, Wilmink, Ali-Schaeffer, Cappio Borlino, Cobby – Le Du, Dijkstra, Rook, Gous and Nelder) to describe the milk production curve of Iranian Holstein cattle. A dataset consisted of 6079976, 4879486 and 3312416 test-day milk yield records related to first, second and third three lactation periods, respectively, from 3550 herds collecting by the Animal Breeding Center of Iran from 1983 to 2017, were used. The average of test day milk records for three lactation was 31.17, 34.08 and 33.83 kg, respectively. The nlme package of R software (version 3.4.3) was used for fitting nonlinear functions. The nonlinear functions were compared using four goodness of fit criteria, including Akaike’s information criterion (AIC), Bayesian information criterion (BIC), Root mean square error (RMSE) and Durbin-Watson index (DW). The Rook function showed the best fit for the milk production curve shape for three lactations in Iranian Holstein cattle when compared to other functions. The Gous and Rook functions showed the highest accuracy in predicting peak time, peak yield and persistency of milk production parameters in different lactations, but in general, the Rook function has a high predictive value in estimating the milk curve parameter descriptors.Therefore, Rook function is recommended for describing the milk production curve of Iranian Holstein cattle.
Mohadeseh Namvar; Gholam Reza Dashab; Mohammad Rokouei; Hadi Faraji Arogh; Davoud Ali Saghi
Volume 19, Issue 2 , August 2017, , Pages 281-298
Abstract
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 ...
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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<0.01) and proportion of maternal permanent environmental variance to phenotypic variance was varied from 0.055 (12W) to 0.186 (BW). Although estimated heritability of maternal effects for body weight was lower in older ages, the result of this study showed that including maternal effects (maternal genetic and permanent environmental effect) in the statistical model could lead to more accurate estimation of genetic parameters for growth traits in all ages. The phenotypic trend for BW, 3W, 6W, 9W and 12W were 8.4, 74.6, 8.3, 54.3, 78.3 gr/year, respectively and direct additive genetic trend for mentioned traits were -0.07, 14.2, -21.9, 13.7, 24.9 gr/year, respectively. Therefore, the results of bayesian analysis are more reliable than convientioal statistical methods.
Raziyeh Rahimzadeh; Mohammad Rokouei; Hadi Faraji- Arough; Ali Maghsoudi; Behrooz Keshtegar
Volume 19, Issue 2 , August 2017, , Pages 299-310
Abstract
The aim of this study was to fit the best model for describing the egg production for Japanese quails at thirteen week of age. For this purpose, the daily egg production recordson 314 quails were used for the different models including nonlinear logistic, incomplete gamma, McNally, Lekhorst, Narushin ...
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The aim of this study was to fit the best model for describing the egg production for Japanese quails at thirteen week of age. For this purpose, the daily egg production recordson 314 quails were used for the different models including nonlinear logistic, incomplete gamma, McNally, Lekhorst, Narushin -Takma 2, McMillan and Nelder by R software. The best model was selected by some statics such as Mean square error (MSE), Akaike information criterion (AIC), Bayesian information criterion (BIC). The results showed that Narushin Takma 2 (minimum MSE, AIC and BIC) and Compartmental I Functions (maximum MSE, AIC and BIC) were the best and worst function to describe the egg production, respectively. The highest correlation (0.953) between predicted and actual values for the number of egg were obtained by Narushin -Takma 2 model. The results of the model comparisons and correlations indicate that Narushin - Takma 2 function describes Short- term egg production in quail better than other functions studied in this research and this function could be considered in a short- term prediction of the reproductive potential Japanese quail in breeding goals