ORCID Profile
0000-0002-4150-1835
Current Organisations
Tarbiat Modares University
,
Shahid Bahonar University of Kerman
,
Ferdowsi University of Mashhad
,
University of New England
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Publications
The importance of accounting for maternal genetic effects in Australian fine-wool Merino breeding
Publisher: CSIRO Publishing
Date: 2005
DOI: 10.1071/AR05006
Abstract: (Co) variances for greasy fleece weight (GFW), clean fleece weight (CFW), mean fibre diameter (MFD), staple strength (SS), coefficient of variation of fibre diameter (CVFD), birthweight (BW), weaning weight (WW), and yearling weight (YW) were estimated for 5108 Australian Merino sheep from the CSIRO Fine Wool Project, born between 1990 and 1994. Covariances between these traits and number of lambs weaned per ewe joined (NLW) were also estimated. Significant maternal genetic effects were found for GFW, CFW, BW, WW, and YW. Estimates of heritability were biased upwardly when maternal effects were ignored. The maternal heritability estimates for GFW, CFW, BW, WW, and YW were 0.17, 0.15, 0.38, 0.28, and 0.13, respectively. Maternal effects were not important for MFD, CVFD, SS, and NLW. Direct-maternal genetic correlations within each fleece weight and bodyweight trait were estimated to be moderately negative (–0.26 to –0.48). The effect of ignoring maternal genetic effect was explored using selection index theory. Accounting for the maternal effects in both the selection criteria and breeding objective increased the overall response by 14.3%, 4.8%, 2.6%, 1.4%, and 0.0% in 3, 6, 12, 20 and 30% micron premium scenarios, respectively, compared with when the maternal effects were only included in breeding objective. Complete ignorance of the maternal effects led to overestimation in overall response of 2.8–35.7% for different micron premium scenarios in contrast to when the maternal effects were ignored in the selection index weight, but were included in the breeding objective. The results indicate that the maternal genetic effects of fleece weight and bodyweight should be considered in Merino breeding programs.
Determining the appropriate selection index for Rayeni Cashmere goat under pasture-based production system
Publisher: CSIRO Publishing
Date: 2018
DOI: 10.1071/AN16570
Abstract: The aim of the present study was to identify the significance of Rayeni Cashmere goat’s socioeconomic traits so as to derive economic weights for the selection criteria that can be used easily by goat breeders. A deterministic bio-economic model was used to estimate economic value for adult bodyweight of doe (BWD), annual milk yield (MW), annual cashmere weight (CW), bodyweight of kids sold at 6.5 months (WK), and number of kids sold at 6.5 months per doe (NK). The relative importance of traits was determined on the basis of the estimated economic values, and, consequently, the most beneficial traits were applied to construct selection indices. Five selection indices with different herd sizes and buck ratios were proposed (I1–I5). The traits included in each index were as follows: BWD, MW, CW, WK and NK (I1) MW, CW, WK and NK (I2) BWD, MW, WK and NK (I3) BWD, MW and CW (I4) and BWD, CW, WK and NK (I5). Absolute economic values (US$) of BWD, MW, CW, WK and NK traits were $–0.870, $0.111, $5.660, $21.655 and $1.712 respectively. The results indicated that in all indices, the genetic and economic gains were elevated by an increased herd size and a decreased buck ratio. The maximum values of genetic and economic gains were obtained in herd size of 400 and buck ratio of 0.04. The highest genetic gain was obtained under Index 1, while the highest amount of economic gain was acquired under Index 2 however, the maximum accuracy of selection index was achieved under Index 1. The obtained results revealed that the most appropriate selection index for this breed is Index 1, which includes BWD, MW, CW, WK and NK. By applying Index 1, we could concurrently promote improvement of all traits, which highlights the potential of this index as a good promising strategy for developing selection criteria of Rayeni Cashmere goat under a pasture-based production system.
Comparison of genetic diversity and phylogenetic structure of BRCA1 gene of some domestic and wild sheep breeds in different countries
Publisher: Informa UK Limited
Date: 17-03-2023
Inclusion of skin follicle traits in selection indices in breeding programs improves genetic gain in Australian fine-wool Merinos
Publisher: CSIRO Publishing
Date: 2007
DOI: 10.1071/AR06347
Abstract: Genetic parameters for skin follicle traits, wool traits, body weight, and number of lambs weaned per ewe joined were estimated for 5108 10-month-old Australian fine-wool Merinos born between 1990 and 1996. These animals were descended from 261 sires and 2508 dams. The skin follicle number index that is based on skin surface area, and primary, secondary, or total follicle density were introduced as possible early-age selection criteria estimated at 6 months of age. Heritability estimates for total, secondary, and primary follicle number index were 0.45 ± 0.04, 0.46 ± 0.04, and 0.38 ± 0.04, respectively. The genetic correlations of total follicle number index with clean fleece weight, mean fibre diameter, staple strength, coefficient of variation of fibre diameter, body weight, and number of lambs weaned were 0.16, –0.67, 0.00, 0.03, 0.22, and 0.22, respectively. Responses to selection on indices including and excluding follicle traits were calculated based on the genetic parameters estimated, and with annual responses calculated using an optimised age structure. On average, 10% greater response was predicted when total follicle number index was used as an additional selection criterion in different micron premium scenarios. In comparison, skin follicle density had a smaller effect on genetic improvement. The extra response was ~1%. Similar index responses were obtained when total follicle number index was used as a replacement selection criterion for clean fleece weight, mean fibre diameter, and coefficient of variation of fibre diameter for breeding objectives with low emphasis on fibre diameter. In objectives with high emphasis on fibre diameter, unfavourable correlated responses in staple strength and CV of fibre diameter limited the effectiveness of using total follicle number index as a selection criterion. Although the use of total follicle number index as an additional selection criterion can be favourable for some breeding objectives, measuring this trait is currently cost prohibitive to inclusion in Merino breeding programs.
Effect of LCORL gene polymorphism on body size traits in horse populations
Publisher: Universidade Estadual de Maringa
Date: 30-09-2019
DOI: 10.4025/ACTASCIANIMSCI.V42I1.47483
Abstract: The aim of this study was to determine polymorphism of LCORL gene in horse breeds and its association with body size. PCR-RFLP technique was performed using AluI for genotyping of 306 horses. Results showed that C is the rare allele in Iranian Breeds, because these horses have been used since ancient times as a courier and for war and archery, hence selection has done to benefit of spiky horses with medium body that need less food and are tireless. While, for foreign breeds frequency of C allele was high that can be concluded these breeds used in fields, forests, and mines. A UPGMA dendrogram based on the Nei's standard genetic distance among studied breeds showed separate clusters for Iranian native and exotic breeds. Statistical association analysis of three observed genotypes with body size showed that there is an association between this polymorphism and body size criteria (p 0.01). Overall, it can be concluded that studied mutation in LCORL gene can be used as candidate marker for improving body weight in horse.
Influence of milking frequency on genetic parameters associated with the milk production in the first and second lactations of Iranian Holstein dairy cows using random regression test day models
Publisher: Springer Science and Business Media LLC
Date: 02-2016
Evaluation of repeatability and pre-structured repeatability models for genetic analyses of repeated records of fat and protein contents of milk in Iranian Holstein cows
Publisher: CSIRO Publishing
Date: 2018
DOI: 10.1071/AN16354
Abstract: Fat and protein content of milk measurements from first to fifth lactations of Iranian Holstein cows were analysed using repeatability and several pre-structured repeatability models that varied in additive genetic variance structure and fitted heterogeneous residual co (variance). For this research, a total of 257 197 fat and 218 688 protein records were used. The records were measured on 116 531 cows born between 2010 and 2014. The animals originated from 2355 sires and 91 212 dams. Pre-structured repeatability models with heterogeneous residual co (variance) and the respective genetic variance structure were the best models for genetic analysis of the fat and protein data. The results derived from these models showed that heritability of both fat and protein are decreased from first to fifth lactations. Heritability of fat measured at first, second, third, fourth and fifth locations were between 0.10 and 0.19 and those for protein were between 0.07 and 0.24. Moderate to high phenotypic correlations were estimated between the repeated records of the fat and protein. Values of 0.13 and 0.16 were estimated for heritability of fat and protein using repeatability model. Phenotypic correlations among the repeated records of fat and protein were estimated to be 0.30 and 0.33, respectively when this model was applied. The results showed the genetic variance, heritability and phenotypic correlation of the fat and protein are changed over the lactations but the genetic parameters derived from the repeatability model are homogenous whereas in both models unity genetic correlations are assumed among the repeated records. The results of this study show that the repeatability model is not an appropriate model for genetic analysis of the repeated records of fat and protein in the population investigated and can be improved when pre-structured repeatability model is used. In the present study homogenous genetic covariance was assumed among the fat and protein taken at the different lactations which can be modelled in future studies for more improving the models.
Effect of energy and protein levels in supplemental diets on performance of Rayeni cashmere does and goat kids under natural grazing conditions
Publisher: The Kielanowski Institute of Animal Physiology and Nutrition, PAS
Date: 20-12-2021
Prioritization for conservation of Iranian native cattle breeds based on genome-wide SNP data
Publisher: Springer Science and Business Media LLC
Date: 26-07-2016
Mitochondrial DNA sequence variation in Iranian native dogs
Publisher: Informa UK Limited
Date: 17-03-2017
DOI: 10.1080/24701394.2017.1289375
Abstract: The dog mtDNA ersity picture from wide geographical s ling but from a small number of in iduals per region or breed, displayed little geographical correlation and high degree of haplotype sharing between very distant breeds. For a clear picture, we extensively surveyed Iranian native dogs (n = 305) in comparison with published European (n = 443) and Southwest Asian (n = 195) dogs. Twelve haplotypes related to haplogroups A, B and C were shared by Iranian, European, Southwest Asian and East Asian dogs. In Iran, haplotype and nucleotide ersities were highest in east, southeast and northwest populations while western population had the least. Sarabi and Saluki dog populations can be assigned into haplogroups A, B, C and D Qahderijani and Kurdi to haplogroups A, B and C, Torkaman to haplogroups A, B and D while Sangsari and Fendo into haplogroups A and B, respectively. Evaluation of population differentiation using pairwise F
Direct and correlated responses to selection for autumn lambing in sheep
Publisher: Springer Science and Business Media LLC
Date: 02-10-2020
DOI: 10.1186/S12711-020-00577-Z
Abstract: Seasonal reproduction limits productivity, flexibility, and profitability in commercial sheep production. Hormonal and (or) photoperiodic manipulation can be used to control estrous cycles in sheep and reduce limitations that are imposed by the seasonal anestrous but are often impractical or incompatible with the extensive management systems preferred for ruminant livestock. Thus, the current study investigated the use of selection to improve realized fertility (i.e., the proportion of ewes that lambed) following an out-of-season spring joining period (May and June) in a crossbred sheep population. Over 17 years, estimated breeding values (EBV) for fertility in selected (S) ewes increased by 0.175 (0.01 per year). The mean EBV for fertility of S ewes was greater than that of control ewes by year 10 (P = 0.02), and the fertility of adult (≥ 3 years old) ewes reached 0.88 ± 0.05 by year 17. Lambing began approximately 140 days after the introduction of rams, and 64% of the S ewes that lambed did so in the first 17 days of the potential lambing season, which indicated that most of the S ewes were cycling at the time of ram introduction and were not induced to cycle by the introduction of breeding males (i.e., the so-called “ram effect”). Animals in the S line had modest increases in body weight and scrotal circumference. A modest negative trend in the additive maternal effect on birth weight was observed but was reversed by additional selection on EBV for maternal birth weight. The heritability of litter size in autumn lambing was low (0.04) and could potentially limit the response to selection for this trait. Selection improved realized ewe fertility in out-of-season mating, with absolute increases of approximately 1% per year in the percentage of joined ewes that lambed in the autumn. Genetic antagonisms with other performance traits were generally small. A modest antagonism with maternal breeding values for birth weight was observed but it could be accommodated by selection on EBV for maternal birth weight. Our results support results of previous studies that indicate that these selected ewes had one of the shortest seasonal anestrous periods reported for temperate sheep breeds and that spring-lambing lactating ewes from the selection line were capable of relatively rapid rebreeding in the spring.
Whole genome detection of recent selection signatures in Sarabi cattle: a unique Iranian taurine breed
Publisher: Springer Science and Business Media LLC
Date: 05-12-2019
DOI: 10.1007/S13258-019-00888-6
Abstract: The identification of genomic regions under selection can potentially permit a better understanding of the biology of the specific phenotypes which are useful for the development of tools designed to increase selection efficiency. The aim of this study was to detect any traces of recent selection signatures as well as to identify corresponding genes and QTLs underlying these selection signatures in Sarabi cattle. S les from 20 animals were genotyped for 777,962 SNPs across the genome using the Illumina BovineHD BeadChip. Selection signatures analysis was performed using the integrated haplotype score (iHS) methodology. A total of eight significant regions (P < 0.0001) of possible recent selection signatures were detected on BTA14 and BTA17. In addition, nine genes were identified in regions harboring selection signatures, such as KCNQ3, HHLA1, OC90, EFR3A, ADCY8, ASAP1, TMEM132B, and TMEM132C. Study of the reported QTLs in these regions of the bovine genome has showed that they are associated with important traits such as milk, reproduction and production traits. The results revealed multiple genomic regions as well as multiple new genes under positive selection on BTA14 and BTA17. Moreover, candidate selected regions that overlap with QTL reported in the cattle QTL database provided additional evidence for the significance of the detected regions under selection. This study provides a foundation for detailed analysis of the identified putative selection signatures in the cattle genome particularly of the indigenous and locally-developed cattle breeds and provides an avenue for a well-structured breed improvement.
Modelling genetic covariance structure across ages of mean fibre diameter in sheep using multivariate and random regression analysis
Publisher: CSIRO Publishing
Date: 2012
DOI: 10.1071/AN12139
Abstract: Mean fibre diameter measurements from yearling to 5-year-old Australian fine- and medium-wool Merino sheep were analysed using several multivariate models that varied in covariance structure. A pre-structured multivariate model was found to be the most parsimonious model in comparison with the other models fitted such as banded, autoregressive and random regression. In the preferred model, the ages of mean fibre diameter for fine-wool data were genetically partitioned into yearling, 2 years, 3 years and later ages and for medium-wool data into hogget, 2 years and later ages. The estimates of genetic correlations between mean fibre diameter measured at different ages for medium-wool sheep were higher (0.89–1.00) than those for fine-wool Merino (0.75–1.00).
A predictive assessment of genetic correlations between traits in chickens using markers
Publisher: Springer Science and Business Media LLC
Date: 02-2017
Evaluation of non-linear models for genetic parameters estimation of growth curve traits in Kermani sheep
Publisher: Springer Science and Business Media LLC
Date: 24-05-2019
DOI: 10.1007/S11250-019-01927-W
Abstract: In the present study, 10,116 body weight-age records were measured on 2537 Kermani lambs. The records were collected from Kermani Sheep Breeding Station, located in Shahrbabak city, Kerman Province, south-eastern part of Iran, between 1993 and 2013 and used for evaluation of non-linear models describing growth curve from birth to yearling age and estimation of genetic parameters for growth curve traits in Kermani sheep. Six non-linear models including Brody, negative exponential, von Bertalanffy, Richards, Verhulst, and Gompertz were compared applying Akaike's information criterion (AIC), root mean square error (RMSE) and Durbin-Watson statistic (DW) for determining the most appropriate model describing the growth curve in Kermani sheep. The von Bertalanffy model showed the lowest AIC and RMSE among the tested models. Furthermore, positive autocorrelations were found between residuals under the all tested model with the lowest value under the von Bertalanffy model. Therefore, von Bertalanffy model was selected as the best one for describing growth curve in Kermani sheep. A multivariate animal model was used for genetic analysis of the growth curve traits including parameters A (estimated mature weight), B (an integration constant related to initial animal weight), K (maturation rate), inflection age (IA), and inflection weight (IW) under a Bayesian approach. Posterior means for heritability estimates of A, B, K, IA, and IW were significant values of 0.10, 0.03, 0.04, 0.15, and 0.10, respectively. The parameter A had significant and positive genetic and phenotypic correlations with parameters B, IA, and IW. The posterior means for genetic and phenotypic correlations between parameters A and K were negative estimates of - 0.32 and - 0.22, respectively, implied that the lambs with slower maturation rate had higher mature weight. Positive and medium estimates were obtained for posterior means of phenotypic (0.31) and genetic (0.35) correlations between B and K. The posterior means for phenotypic and genetic correlations of B with IA and IW were not statistically significant. High and positive estimates were obtained for posterior means of genetic (0.6) and phenotypic (0.84) correlations between IA and IW. Generally, von Bertalanffy model showed high level of adequacy for describing the growth curve in Kermani sheep. Low additive genetic variations were found for all the studied growth curve traits. Therefore, the traits highly influenced by environmental which necessitate improving environmental influencing factors on the studied traits for achieving desired shape of growth curve and developing an efficient breeding strategy in Kermani sheep.
Importance of genotype by environment interaction on genetic analysis of milk yield in Iranian Holstein cows using a random regression model
Publisher: CSIRO Publishing
Date: 2019
DOI: 10.1071/AN17714
Abstract: Changes in the relative performance of genotypes (sires) across different environments, which are referred to as genotype–environment interactions, play an important role in dairy production systems, especially in countries that rely on imported genetic material. Importance of genotype by environment interaction on genetic analysis of milk yield was investigated in Holstein cows by using random regression model. In total, 68945 milk test-day records of first, second and third lactations of 8515 animals that originated from 100 sires and 7743 dams in 34 herds, collected by the Iranian animal breeding centre during 2007–2009, were used. The different sires were considered as different genotypes, while factors such as herd size, herd milk average (HMA), herd protein average and herd fat average were used as criteria to define the different environments. The inclusion of the environmental descriptor improved not only the log-likelihood of the model, but also the Bayesian information criterion. The results showed that defining the environment on the basis of HMA affected genetic parameter estimations more than did the other environmental descriptors. The heritability of milk yield during lactating days reduced when sire × HMA was fitted to the model as an additional random effect, while the genetic and phenotypic correlations between lactating months increased. Therefore, ignoring this interaction term can lead to the biased genetic-parameter estimates, reduced selection accuracy and, thus, different ranking of the bulls in different environments.
Genetic analysis of ewe productivity traits in Moghani sheep
Publisher: Elsevier BV
Date: 03-2011
Correlation between insulin-like growth factor 1 gene expression and fennel (Foeniculum vulgare) seed powder consumption in muscle of sheep
Publisher: Informa UK Limited
Date: 16-11-2021
Non-Invasive Multimodal Neuromonitoring in Non-Critically Ill Hospitalized Adult Patients With COVID-19: A Systematic Review and Meta-Analysis
Publisher: Frontiers Media SA
Date: 14-04-2022
DOI: 10.3389/FNEUR.2022.814405
Abstract: Neurological complications are frequent in patients with coronavirus disease-2019 (COVID-19). The use of non-invasive neuromonitoring in subjects without primary brain injury but with potential neurological derangement is gaining attention outside the intensive care unit (ICU). This systematic review and meta-analysis investigates the use of non-invasive multimodal neuromonitoring of the brain in non-critically ill patients with COVID-19 outside the ICU and quantifies the prevalence of abnormal neuromonitoring findings in this population. A structured literature search was performed in MEDLINE/PubMed, Scopus, Cochrane, and EMBASE to investigate the use of non-invasive neuromonitoring tools, including transcranial doppler (TCD) optic nerve sheath diameter (ONSD) near-infrared spectroscopy (NIRS) pupillometry and electroencephalography (EEG) inpatients with COVID-19 outside the ICU. The proportion of non-ICU patients with CVOID-19 and a particular neurological feature at neuromonitoring at the study time was defined as prevalence. A total of 6,593 records were identified through literature searching. Twenty-one studies were finally selected, comprising 368 non-ICU patients, of whom 97 were considered for the prevalence of meta-analysis. The pooled prevalence of electroencephalographic seizures, periodic and rhythmic patterns, slow background abnormalities, and abnormal background on EEG was.17 (95% CI 0.04–0.29), 0.42 (95% CI 0.01–0.82), 0.92 (95% CI 0.83–1.01), and.95 (95% CI 0.088–1.09), respectively. No studies investigating NIRS and ONSD outside the ICU were found. The pooled prevalence for abnormal neuromonitoring findings detected using the TCD and pupillometry were incomputable due to insufficient data. Neuromonitoring tools are non-invasive, less expensive, safe, and bedside available tools with a great potential for both diagnosis and monitoring of patients with COVID-19 at risk of brain derangements. However, extensive literature searching reveals that they are rarely used outside critical care settings. Systematic Review Registration: www.crd.york.ac.uk rospero/display_record.php?RecordID=265617 , identifier: CRD42021265617.
A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes
Publisher: Springer Science and Business Media LLC
Date: 09-09-2021
DOI: 10.1186/S12711-021-00664-9
Abstract: Various regions of the chicken genome have been under natural and artificial selection for thousands of years. The substantial ersity that exits among chickens from different geographic regions provides an excellent opportunity to investigate the genomic regions under selection which, in turn, will increase our knowledge about the mechanisms that underlie chicken ersity and adaptation. Several statistics have been developed to detect genomic regions that are under selection. In this study, we applied approaches based on differences in allele or haplotype frequencies ( F ST and hapFLK, respectively) between populations, differences in long stretches of consecutive homozygous sequences (ROH), and differences in allele frequencies within populations (composite likelihood ratio (CLR)) to identify inter- and intra-populations traces of selection in two Iranian indigenous chicken ecotypes, the Lari fighting chicken and the Khazak or creeper (short-leg) chicken. Using whole-genome resequencing data of 32 in iduals from the two chicken ecotypes, approximately 11.9 million single nucleotide polymorphisms (SNPs) were detected and used in genomic analyses after quality processing. Examination of the distribution of ROH in the two populations indicated short to long ROH, ranging from 0.3 to 5.4 Mb. We found 90 genes that were detected by at least two of the four applied methods. Gene annotation of the detected putative regions under selection revealed candidate genes associated with growth ( DCN , MEOX2 and CACNB1 ), reproduction ( ESR1 and CALCR ), disease resistance ( S1PR1 , ALPK1 and MHC-B ), behavior pattern ( AGMO , GNAO1 and PSEN1 ), and morphological traits ( IHH and NHEJ1 ). Our findings show that these two phenotypically different indigenous chicken populations have been under selection for reproduction, immune, behavioral, and morphology traits. The results illustrate that selection can play an important role in shaping signatures of differentiation across the genomic landscape of two chicken populations.
Genetic and phenotypic aspects of early reproductive performance in Raeini Cashmere goats
Publisher: Springer Science and Business Media LLC
Date: 18-05-2019
DOI: 10.1007/S11250-019-01915-0
Abstract: This study used pedigree information and data collected from 1979 to 2012 at the Raeini Cashmere goat breeding station, located in Baft City in Kerman Province in southeastern Iran. Genetic and phenotypic parameters for early reproductive traits of breeding does, including total numbers of kids born at first kidding (LSB1), total numbers of kids weaned at first kidding (LSW1), total birth weight of all kids born at first kidding (LWB1), total weaning weight of all kids weaned at first kidding (LWW1), and age at first kidding (AFK), were estimated using a Bayesian approach via Gibbs s ling. Posterior means for heritability estimates of LSB1, LSW1, LWB1, LWW1, and AFK were statistically significant, with values of 0.12, 0.23, 0.17, 0.15, and 0.46, respectively. Low-to-moderate additive genetic variation was present for the studied reproductive traits. Estimated genetic correlations among LSB1, LSW1, LWB1, and LWW1 were statistically significant and ranged from 0.12 between LWB1 and LWW1 to 0.72 between LSB1 and LSW1. Corresponding phenotypic correlation estimates were also statistically significant and ranged from 0.04 between LWB1 and LWW1 to 0.55 between LSB1 and LSW1. Posterior means of genetic and phenotypic correlations between AFK and other studied traits were statistically significant only for LSB1 and LWB1. For LSB1, LSW1, LWB1, and LWW1, we conclude that genetic and phenotypic improvement in any of these traits in Raeini Cashmere does would favorably influence all of the other traits. However, does that first kidded at younger ages have smaller litters at birth and lower litter birth weights at their first parity.
Related Organisations
Shahid Bahonar University Of Kerman
Location: Iran (Islamic Republic of)
Related Funding Activities
No related grants have been discovered for Masood Asadi Fozi.