[Home ] [Archive]   [ فارسی ]  
:: About :: Main :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..



 
..
:: Search published articles ::
Showing 4 results for Mir Drikvand

Reza Mir Drikvand, Goodarz Najafian, Mohammad Reza Bihamta, Asa Ebrahimi,
Volume 1, Issue 2 (2-2015)
Abstract

This study was conducted to identify markers associated with some kernel traits in bread wheat in two separate experiments under field and laboratory. One hundred wheat genotypes were evaluated in an alpha lattice experimental design with two replications. Grain hardness, seed length, seed width and thousand kernel weights were measured. Association mapping was performed based on 96 unlinked and 22 SSR QTL linked markers, using structure and Tassel software. Correction for population structure was performed using genome wide SSR markers so that genotypes were divided into six sub-populations. Totally, 35 SSR markers linked to traits were detected eight of them being QTL linked markers and other markers that were linked to traits, were used to investigate population structure. The QTLs linked markers were as follows: Chromosomes 5B, 5D and 6D had three QTL for grain hardness. Nine QTLs were detected on chromosomes 1A, 1B, 2A, 2B, 2D, 5B, 5D, 6D and 7B for kernel length, kernel width and thousand kernel weights. The results of this study demonstrate that association mapping is a useful approach to complement and enhance previous QTL information for marker-assisted selection in wheat.
Reza Mir Drikvand, Asma Khyrolahi, Asa Ebrahimi, Mohammad Rezvani,
Volume 2, Issue 1 (5-2015)
Abstract

In this study, genetic diversity of 25 rainfed bread and durum wheat genotypes were assessed using 20 SSR primers that all of them were generated scorable bands. Totally 69 alleles (ranged between 2 allele for Xcfd40 and Xgwm369, and 5 allele for Xbarc54 primers per each locus), were distinguished. Polymorphic information content (PIC) for all SSR primers was calculated. The highest (0.98) and the lowest (0.64) amount of PIC was pertained to Xcfd40 and Xgwm30 primers, respectively. Based on similarity matrix, the highest and lowest genetic similarity was belonged to Seri82 and Seri (0.86) and Sita/chil and Baviacora (0.14), respectively. Cluster analysis could distinct spring and winter wheat genotypes and as well as bread and durum wheat genotypes. It was concluded that SSR marker was suitable for evaluation of genetic diversity in rainfed wheat genotypes. This genetic diversity can be used in wheat breeding programs.


Reza Mir Drikvand,
Volume 3, Issue 2 (3-2017)
Abstract

Identification and application of genetic diversity are essential to breeding programs success. In this study, genetic diversity of 20 rainfed barley genotypes were assessed using morphological traits as well RAPD and intron-exon splice junction (ISJ), semi-random markers. Results of this study showed that there were significant differences among genotypes for all traits, indicating high genetic variation among them. The highest and lowest broad sense heritability was related to spike length and grain yield, respectively The estimates of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were high for number of grain per spike, and low for 1000-kernel weight, respectively. Mean of polymorphic percentage in ISJ marker was higher than RAPD marker. Cluster analysis showed that the distinctions based on morphological traits did not correspond with the distinction based on molecular data.The results showed that RAPD and ISJ markers were able to distinct two and six-rowed and also hulless and hulled barley genotypes. Distinction of three clusters did not follow the same pattern.There was significant and negative correlation between similarity matrices of molecular data and morphological traits, but similarity matrices of two molecular markers was significantly and positively correlated.
Reza Mir Drikvand, Kamran Samiei,
Volume 7, Issue 1 (9-2020)
Abstract

Estimation of genetic diversity and evaluation of plant germplasm is the most important step in collection and management of plant genetic resources. Also, comparison of different DNA-based genetic markers in diversity evaluation and then advising the most efficient markers is very important. In order to investigate genetic variation among Persian oak (Quercus brantii Lindi.) populations of Lorestan province (Iran), 20 genotypes were collected from different geographical and climatic regions. After DNA extraction, polymerase chain reactions (PCR) were used for study of polymorphism using three markers including ISJ, ISSR and SCoT. Genotyping was performed using the polymorphic bands obtained from all three markers separately, and also by combining the data of three markers. PCR results of the primers showed 91 polymorphic bands with an average of 71% per locus. The ISSR marker with 44 bands had the most polymorphic bands. Genotypes were discriminated by ISJ, ISSR and SCoT markers in 5, 6 and 5 groups, respectively, and using the combined data of three markers, genotypes were classified in 5 groups (each group included more than one genotype) and 3 group (each group included one genotype).  The results showed that the obtained clustering by different markers were nearly consistent with clustering of genotypes based on the climatic origin of genotypes. The most similarity between the groupings was between ISJ and ISSR markers with 89%. Overall, the results indicated the usefulness of markers used to estimate genetic distances between different oak communities.


Page 1 from 1     

پژوهش های ژنتیک گیاهی Plant Genetic Researches
Persian site map - English site map - Created in 0.06 seconds with 30 queries by YEKTAWEB 4642