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Showing 5 results for Alipour
Dr Reza Darvishzadeh, Dr Hadi Alipour, Dr Ahmad Sarrafi,
Volume 4, Issue 2 (3-2018)
Abstract
Black stem disease is one of the most important fungi diseases in sunflower. Information about the mode of heritability and the effects of genes controlling trait could be most important for selecting breeding methods to black stem disease resistance. In this study, genotypes ENSAT-B5 and AS613 and a mutant genotype M5-54-1 with different response to MP8 and MP10 isolates were selected and F1, F2, BC1 and BC2 generations were made from ENSAT-B5×AS613 and ENSAT-B5×M5-54-1 crosses. Generations of crossing and parents of each set were planted in a completely randomized design with three replications and infected by M8 and M10 isolates. With the exception of the [(♀) M5-54-1 × ENSAT-B5 (♂)-MP10] cross, the lack of fit test of simple three parametric additive-dominance models for the [(♀) AS613 × ENSAT-B5 (♂)-MP8] and [(♀) AS613 × ENSAT-B5 (♂)-MP10] crosses were significant, indicating the presence of non-allelic interactions in the inheritance of the black stem disease resistance. In the estimated models for the different crosses, high and significant amount of dominant effects and dominant × dominant interactions suggested the importance of non-additive genetic effects. Therefore, selection for this trait in early generation could not be effectively successful and hybrid development is highly recommended for increasing the resistance to the black stem disease.
Halbibi Badirdast, Seyed Yahya Salehi-Lisar, Hossain Sabouri, Ali Movafeghi, Ebrahim Gholamalalipour Alamdari,
Volume 5, Issue 1 (9-2018)
Abstract
One of the main objectives of plant breeding is defining the relationship between genotype and phenotype. Nowadays, molecular markers provide powerful tools to evaluate this relationship for plant breeders. In this study, genetic diversity of 112 rice lines was evaluated by 20 pairs of SSR markers which linked to drought tolerant alleles. Totally, 77 polymorphic alleles with mean of 3.85 alleles per primer pairs were amplified. The minimum number of alleles was belonged to RM28199 and RM212 markers with 2 alleles, and the maximum number of alleles was belonged to RM72 marker with 6 alleles. The range of PIC for the examined markers was 0.30 to 0.72 and the mean of PIC was 0.58. The maximum amount of PIC was belonged to RM85 and RM20A markers and the minimum of PIC was belonged to RM28099 marker. Considering the gene diversity coeficient, RM28099 and RM 85 markers had minimum (0.33) and maximum (0.76) diversity, respectively. The stepwise regression analysis of the microsatellite data and morphologic traits identified 62 and 54 informative alleles for the evaluated traits in flooding and drought conditions, respectivly. Cluster analysis based on molecular data divided the genotypes into 7 groups. Considering the appropriate distribution of amplified DNA by the studied markers in this study, markers that have high separation power and high association with important agronomic traits in drought stress condition (if further experiments confirmed them), could be employed in plant breeding programs of drought stress.
Maryam Rasoulzadeh Aghdam, Reza Darvishzadeh, Ebrahim Sepehr, Hadi Alipour,
Volume 8, Issue 1 (8-2021)
Abstract
Nutrient deficiencies are important abiotic stresses that can affect plant growth and development. In this study, 76 sunflower pour lines collected from different regions of the world were evaluated in pot using some physiological traits with combined analysis of completely randomized design with three replications under optimal and phosphorus deficit conditions. Phosphorus deficiency decreased the means of all studied traits except canopy temperature. Oilseed sunflower lines were grouped into five and four clusters in each one of optimum and phosphorus deficient conditions, respectively. However, in both optimum and phosphorus deficient conditions, lines 19, 21, 27, 44 and 71 were classified into desirable cluster with high yield and yield components. Multivariate tolerance index (MFVD) for each genotype was calculated using the ratio and productivity matrices of the studied traits under optimal and phosphorus deficit conditions using principal component analysis on the resulting matrices. Based on the resulting biplot, lines 71, 74, 65, 21, 39, 7, 18 and 11 were introduced as desirable and phosphorus deficit tolerant lines.
Razieh Ghorbani, Raheleh Ghasemzadeh, Hadi Alipour,
Volume 9, Issue 1 (9-2022)
Abstract
In order to identify loci controlling seedling morpho-physiologic characteristics in 88 bread wheat cultivars, a greenhouse experiment based on simple alpha lattice was conducted under both normal and 120 mM (12 ds/m) salt stress condition of the Faculty of Agriculture, Urmia University in 2020-2021 cropping season. Chlorophyll a, b and carotenoid content, proline, plant fresh and dry weight, plant height and leaf relative water content (RWC), Na+, K+ and K+/Na+ concentrations were measured. After genotyping by sequencing with Ion Torrent technology and removal of SNPs with more than 20% of missing data and minor allele frequency less than 5%, a total of 5869 SNP markers were identified. Based on association mapping with the mixed linear model (MLM) method, a total of 25 marker-trait associations were detected under normal conditions. The A and D genomes had the highest and lowest number of significant marker-trait associations (MTAs). Among the studied traits under normal conditions, chlorophyll a had the highest number of MTAs on 1A, 3B, 3D, 5B, 7A chromosomes with eight MTAs. A total of 21 MTAs were identified under salt stress conditions which the genome B and D had the highest and lowest number of MTAs, respectively. Five MTAs were identified for plant fresh weight, which were located on chromosomes 4A and 6B. The results of this study provide valuable information about the loci associated with the studied traits, which can be used in marker assisted selection in wheat breeding programs after confirmation in biparental populations and additional experiments.
Hossein Abdi, Hadi Alipour, Iraj Bernousi, Jafar Jafarzadeh,
Volume 10, Issue 1 (9-2023)
Abstract
Evaluating the population structure is essential for understanding diversity patterns, choosing proper parents for crossing, accurate identification of genomic regions controlling traits, and evolutionary and kinship relationship studies. In this research, the genetic structure of a wheat population was studied in a panel consisting of 383 Iranian wheat genotypes of hexaploid (cultivars and landraces) and tetraploid species based on distance-based methods (principal component analysis and discriminant analysis of principal component). For this purpose, 16270 single nucleotide polymorphism (SNP) markers obtained by the GBS technique were used. According to the results, almost a quarter of the total variance was belonged to the diversity between populations, and the Fst coefficient between cultivars and landraces was equal to 0.15. In contrast, the above coefficient between tetraploid samples and hexaploid landraces was high and equal to 0.44. Genome D had the lowest value of Fst index and chromosome 4B showed the highest Fst coefficient, and other genetic diversity indices. Although the PCA biplot distinguished hexaploid wheat cultivars from landraces, it was unable to distinctly separate tetraploid genotypes from other genotypes. Accurate evaluation of the population structure with the DAPC method was able to identify and separate the predetermined successfully groups, suggesting that the DAPC approach maximizes the differentiation between groups and minimizes the changes within the group. Partial admixture between cultivars and landraces of hexaploid wheat can be related to gene exchange between these two groups or perhaps their wrong labeling at the time of collection. In general, the results of this study provided valuable information about the genetic differentiation of Iranian tetraploid and hexaploid wheat, which can be used in future wheat breeding programs. Further, protecting these genotypes in gene banks is necessary for different strategies.
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