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Showing 26 results for Hadi
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.
Arash Salami, Mohammadhadi Pahlevani, Khalil Zenalinezhad, Mohsen Esmaeilzadeh Moghaddam,
Volume 5, Issue 1 (9-2018)
Abstract
Collection and conservation of germplasm, particularly for landraces of important agronomically species and organizing their information, cause to continuity of their usefulness and reduce the risk of their genetic erosion. In this experiment, 10 Iranian wheat landraces along with the Chinese Spring cultivar, as control, were used to assess inter and intra populations variation by using ISSR molecular markers and morphological traits. Evaluation of populations in terms of height, spike length, awn length, number of spike nodes, number of grains per spike, flag leaf length and grain weight showed that there were considerable variation among landraces. Also, in some landraces like KhorramAbad and Ardabil, intra population diversity for some of these traits, such as plant height and length of awn, was obvious. Evaluation of the landraces for ISSR markers showed that among 99 scored bands, 78 bands were polymorphic. Percent of polymorphism with mean of 81.88 % was varied from 53.33 for primer of ISSR-4 to 100% for primers of ISSR-9, ISSR-14, ISSR-5 and ISSR-7. Average PIC of the landraces was estimated 3.0. Results of this study showed that there was considerable intra population diversity for the ISSR markers in landraces of KhorramAbad, Maragheh and Torbat-e-Heydarieh however, a little diversity for Khoy, Ahwaz, Isfahan, Mashad, Urmia, Shiraz and Ardabil was observed. Results of this study showed that there is inter and intra genetic diversity within Iranian landraces of wheat with different levels and these landraces can be used as basic population for extraction of pure lines.
Khadijeh Mousa Khalifani, Reza Darvishzadeh, Masoud Abrinbana, Aram Nouri,
Volume 5, Issue 2 (3-2019)
Abstract
Sunflower (Helianthus annuus L.) is an important crop that its oil has nutritional and high economic value. Basal stem rot, caused by Sclerotinia sclerotiorum and S. minor, is one of the important and devastating disease of sunflower. The use of resistant cultivars is considered as the most important and effective method to control the disease. In this study, the reaction of 100 oily sunflower lines to three isolates of S. sclerotiorum and three isolates of S. minor was studied. Identification of gene loci associated with resistance to disease was done with markers produced with 30 SSR primers pairs. The results showed that some of sunflower genotypes had well resistant to Sclerotinia disease. Population structure analysis using Structure software identified 2 subpopulations (K=2). Association analysis using TASEEL software with general and mixed linear models (GLM and MLM) identified 14 and 12 loci, respectively that have significant association with resistant genes related to Sclerotinia. ORS617 locus was commonly related to genes associated with resistance to M1 from S. minor and J1 from S. sclerotiorum. The common markers are important in sunflower breeding programs making possible simultaneously selection for several traits and producing resistant cultivars to Sclerotinia disease.
Saman Valizadeh, Ahmad Ismaili, Hadi Ahmadi, Omid Ali Akbarpour, Bijan Bajalan, Ashkboos Amini,
Volume 6, Issue 2 (3-2020)
Abstract
Wheat is mostly cultivated at rainfed condition in Iran, so, water deficit stress has much effect on yield reduction. Hence, breeding activities are necessary for introduction of wheat tolerant genotypes to water deficit stress. In order to estimate the heritability and genetic correlation between traits of 36 wheat genotypes, an experiment was conducted in two separate conditions (water stress and non-stress) based on a randomized complete blocks design with three replications. Studied traits in wheat genotypes under water stress and normal condition showed significant differences for environment, genotype and genotype× environment interaction at 1 and 5% level of probability. The results of the factor analysis showed that the 6 first factor in normal condition explained 81.13% of total variance, and the 5 first factor in stress condition explained 74.96% of total variance. Estimation of genetic correlations based on REML approach revealed that biological yield, harvest index and number of grains per spike had the highest correlation with grain yield and these characteristics are of important for selecting the varieties with high yield under non-stress and stress conditions. Estimation of heritability based on REML approach showed that number of days to heading had the highest amount of heritability in both normal and stress conditions.
Fatemeh Darvishnia, Mohammadhadi Pahlevani, Khalil Zaynali Nezhad, Khosro Azizi, Saied Bagherikia,
Volume 7, Issue 1 (9-2020)
Abstract
In order to determine the most effective indices for quantifying drought tolerance and identify genotypes that are tolerant to water stress in bread wheat, 50 bread wheat genotypes were compared in a randomized complete block design with three replications under both the non-stress dry farming with two complementary irrigation and the water stress dry farming conditions in Khorramabad, Iran. Analysis of variance showed that there was a significant difference among the genotypes in terms of all of the traits except the number of spike per area. In this study, eight indices including: Stress Tolerance Index (STI), Geometric Mean Productivity (GMP), Mean Productivity (MP), Yield Index (YI), Harmonic Mean (HM), Yield Stability Index (YSI), Stress Susceptibility Index (SSI), and Tolerance index (TOL) were calculated by using of seed yield of the genotypes under both conditions. Indices that selection based on them will improve the yield in both conditions, are considered as suitable index. STI, GMP, MP and HM were introduced as suitable index for drought resistance selection. Genotypes Shiroodi and S-90-5 were determined as the most appropriate based on 3D plot. Based on positive correlation between water stress resistance indices and yield under stress and non-stress environments, STI and GMP were the best indices. By using the Biplot method, Shiroodi, S-90-5 and Oroum genotypes were considered as high yielding potential genotypes under the both conditions. According to the results of cluster analysis, genotypes were classified into three groups based on drought tolerance indices. Graphical analysis of genotypes also showed that genotypes Shiroodi and S-90-5 were more profitable than others under both drought stress and non-drought stress conditions. These genotypes could also be used as parents caring desirable genes in the crossing programs and selection of tolerate genotypes.
Bahram Alizadeh, Abbas Rezaizad, Mohammad Yazdandoost Hamedani, Gholamhossein Shiresmaeili, Farshad Nasserghadimi, Hamid Reza Khademhamzeh,
Volume 7, Issue 2 (3-2021)
Abstract
The genotype × environment interaction is a major challenge in the study of quantitative characters because it reduces yield stability in different environments and also it complicates the interpretation of genetic experiments and makes predictions difficult. In this regard to analysis of genotype × environment interaction and determine the yield stability of winter rapeseed genotypes in cold and mild cold regions of the country, 9 lines and 4 cultivars were evaluated in a randomized complete block design with three replications in six experimental field stations (Isfahan, Hamedan, Karaj, Kermanshah, Khoy and Zarghan) during 2015–2017 growing seasons. Results of combined analysis of variance indicated that the effects of environments, genotypes and genotype × environment interaction were significant, suggesting that the genotypes responded differently in the studied environment conditions. So, there was the possibility of stability analysis. The Nafis cultivar and BAL-92-1 line with seed yields 4086 and 3829 kg.h-1, respectively, were better than overall mean and had lower ranks and rank variance than others. According to the results of stability analysis using Eberhart and Russel method, the BAL-92-1 line with higher seed yield than overall mean and regression coefficient equal one (bi=1) was identified as the genotype with high general stability for all regions. Based on the simultaneous selection method for yield and stability (YSi), the lines of HW-92-1, BAL-92-1, HW-92-1 and Nafis cultivar with the lowest values were stable, whereas lines BAL-92-4, HW-92-2, HW-92-3 and Ahmadi cultivar with highest values were unstable. Also, based on the SIIG index, the lines of HW-92-1, BAL-92-1, BAL-92-6, BAL-92-11 and Nafis cultivar with having high SIIG value as well as higher seed yield that total average were recognized as superior genotypes from the point of stability and seed yield. Finally, BAL-92-1 line with high yield and broad adaptability was selected as superior line for supplementary studies to introduce the new commercial cultivar in cold and mild cold regions of Iran.
Ali Dowlatshah, Ahmad Ismaili, Hadi Ahmadi, Karim Khademi, Daryoush Goudarzi,
Volume 7, Issue 2 (3-2021)
Abstract
Plant breeding researches is based on genetic diversity and evaluation of genetic diversity is also one of the most important steps in introduction of new cultivars. In this study, genetic diversity of 25 grass pea genotypes was studied based on randomized complete block design with three replicates in Khorramabad (Iran). Analysis of variance showed significant differences among genotypes for most of traits. Mean comparison showed that genotype IF1312 with the highest grain yield and genotypes IF1332 and IF471 with the highest dry and fresh forage yield had the best yield. Principal component analysis showed that the first 3 factors explained 62.64% of total variance. Based on cluster analysis, genotypes IF1307, IF1872 and IF471 with the highest grain and forage yield are belonged to one cluster. REML method was used to estimate genetic correlation and heritability of different traits. The highest amount of heritability (0.87) was estimated for number of immature grains and the least heritability (0.10) was estimated for total dry weight. Grain yield had a high and positive genetic correlation with forage yield, and biomass, percentage of leaf and dry forage yield also had a high and positive genetic correlation with fresh forage yield. Totally, genotype IF1307 had the best performance for most of traits compared to the other genotypes and had an acceptable forage yield among genotypes.
Ghasem Eghlima, Azizollah Kheiry, Mohsen Sanikhani, Javad Hadian, Mitra Aelaie,
Volume 8, Issue 1 (8-2021)
Abstract
Twenty-two G. glabra populations were used to study the genetic diversity of ISSR molecular markers. 12 primers were used to amplification of genomic DNA fragments of G. glabra populations. High genetic diversity based on ISSR markers was observed among individuals. A total of 130 bands were formed and 105 bands were polymorphic. The mean polymorphism percentage among studied populations was 80.47. The highest polymorphic percentages were assigned to IS23, IS21, IS9, IS13 and IS15 primers. The mean of PIC and MI were 0.347 and 2.47, respectively. The Shannon index (I) varied between 0.207-0.393 and the Nei genetic variation index (h) from 0.140 to 0.026. Darab and Solataniyeh populations showed the lowest and highest genetic diversity, respectively. The percentage of polymorphic loci was varied between 35.224 to 65.71%. The observe allele number and effective alleles number was 1.46 and 1.34, respectively. Based on the genetic distance Nei, populations Bardsir and Baft had the highest genetic similarity (0.888) and populations Bardsir and Solataniyeh had the least genetic similarity (0.132). The studied populations were grouped into three main groups by cluster analysis using UPGAM and Jaccard's similarity coefficient. The results showed that the ISSR marker is a reliable marker system for revealing a high level of polymorphism and can be used to study genetic diversity and further examinations as a subset of breeding programs in G. glabra.
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.
Esmaeil Dasturani, Khalil Zaynali Nezhad, Masood Soltani Najafabadi, Mohammadhadi Pahlevani, Hassan Soltanlo, Saeed Bagherikia,
Volume 8, Issue 1 (8-2021)
Abstract
The aim of this study was to determine the haplotype groups and identify the specific alleles associated with desirable agronomic characteristics in bread wheat. For this purpose, 42 local bread wheat genotypes belong to Iran region and nine commercial cultivars along with Chinese Spring variety (reference genotype) were cultivated in the format of augmented design and evaluated based on their 13 phenotypic traits. The results of descriptive statistics showed that awn length and day to flowering had the highest and lowest phenotypic coefficient of variation, respectively. Eight microsatellite markers were used to investigate the haplotype variation of QTLs associated with phenotypic traits located on wheat chromosomes 4B and 7D. The result showed that the genotypes were classified into 13 and 6 haplotype groups according to the allelic comparison with the reference genotype on chromosome 4B and 7D, respectively. In order to investigate the relationship between traits and markers, analysis of variance was performed based on completely randomized design with unequal numbers of replications for each marker. In general, of the 13 traits studied, there was a statistically significant linkage for eight traits and for the three traits, an allele-specific was introduced simultaneously. If the breeders are interested in genotype selection that simultaneously have three desirable characteristics such as early anthesis, semi-dwarfing and a greater number of grains per spike, they can use an allele-specific (153 bp) of Xgwm149-4B marker.
Soheila Afkar, Faranak Hadi, Ali Ashraf Jafari,
Volume 8, Issue 2 (3-2022)
Abstract
Festuca is one of the largest genera of the grass family, which has more than 600 species with different ploidy levels. The aim of this study was to estimate the genetic diversity within 22 populations of three species of Festuca (Festuca arundinacea, F.rubra and F.ovina) using a seed storage protein electrophoresis pattern. These species showed a significant variation in the number of protein bands from 5-13. The highest number of bands was found in G17 (F.rubra) and the lowest number of protein bands was in G5 (F.ovina). Band number 14 was only observed in G3. It is suggested that this band can be considered as a specific band for the identification of this genotype. According to the results of AMOVA analysis, there is a high level of genetic diversity within the species rather than between species that can be due to the out-crossing nature of this genus. According to observed differences for variation parameters among the three studied species, it is concluded that they have dissimilar genetic structures. The results of cluster analysis based on seed storage protein profiles in evaluated genotypes using Euclidean distance matrix and UPGMA method showed four groups. The lowest similarity coefficient was between G14 and G15 (F.arundinacea) with G6 (F.ovina). Hence, it is suggested that they evolved from a different evolutionary process and it is suggested to use them as the parents of new synthetic varieties. The observed diversity in the seed protein pattern in the three species of Festuca, can be explained by allogamy-induced-heterozygosity, species difference or population collection from various regions.
Kaveh Sadeghi, Mohammadhadi Pahlevani, Mohsen Esmeilzadeh Moghaddam, Khalil Zaynali Nezhad,
Volume 8, Issue 2 (3-2022)
Abstract
Identifying selection indices is the most important step of a breeding project that aims to improve grain yield. The definition of the selection index is usually done by evaluating the variables in multivariate statistical methods. In the present study, the relationship between grain yield and its components in bread wheat genotypes was determined by multivariate statistical methods. The experiment was conducted in a randomized complete block design with 3 replications in the research farm of Gorgan University of Agricultural Sciences and Natural Resources in the 2018-19 crop years. Ten commercial cultivars of bread wheat along with their offspring from direct and inverse crosses in a dialysis arrangement were evaluated for morphological and phenological traits, especially grain yield and its components. The results of genotypic and phenotypic correlation coefficients showed a positive and significant correlation (at 1% probability level) between grain yield and spike length, spike weight, number of fertile tillers, number of seeds per spike, number of spikes per spike, 1000-seed weight, biological yield and harvest index. Based on the results of stepwise regression analysis, biological yield, harvest index, number of grains per main spike and main spike weight were entered into the regression model, respectively, and explained a total of 98% of the variation in grain yield. Based on the results of path analysis, biological yield had the highest direct effect on grain yield. After biological yield, the most direct effect on grain yield was related to the weight of main spike. Also, by considering eigenvalues greater than one in factor analysis, 8 hidden factors were identified that explained a total of 75.18% of the data changes. In general, it can be concluded that biological yield, harvest index, number of seeds per spike and weight of spike compared to other traits can be used as appropriate indicators in breeding programs to select high-yield genotypes in field conditions. Genotypes Alo, Ehsan♂ × Gonbad♀ and Ehsan had the highest value for the studied traits, which can be used in future breeding researches.
Jamshid Moradpour, Hadi Ahmadi, Mahmoud Bagheri, Daryoush Goudarzi,
Volume 9, Issue 1 (9-2022)
Abstract
Eggplant (Solanum melongena L.) has a high genetic variation in Iran and there are many landraces of this crop in Iran. In the present study, 15 superior genotypes of eggplant which were selected from Minab landraces accompanying two superior mother landraces (totally 17 lines) were studied for two successive years in three regions of Iran including Minab, Karaj and Jiroft. The experiment was conducted in Randomized complete block design with three replications. Finally, total yield of both years was measured and the combined analysis was done and the best line(s) for different climates were introduced using evaluation the stability of the lines via AMMI and GGE biplot procedures. Based on the results of means comparison of yield in the studied lines in each region from average of two years, GHE12 line in Minab region, SA13 line in Jiroft region and AM4, SA15 and SA5 lines in Karaj region have higher fruit yield than the other lines. Based on the results of yield comparison of the examined genotypes in each region from the average of two years of testing, GHE12 genotype in Minab region, SA13 genotype in Jiroft region and AM4, SA15 and SA5 genotypes in Karaj region had acceptable yield compared to other genotypes. However, according to the results of special adaptability and stability analysis, Y genotype for Minab region, SA13 genotype for Jiroft region and AM4 genotype for Karaj region are recommended
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.
Khadijeh Abbaszadeh, Reza Shirzadian-Khorramabad, Mohammad Mahdi Sohani, Zahra Hajiahmadi,
Volume 9, Issue 2 (3-2023)
Abstract
Salinity stress affects morpho-physiological and biochemical traits of plants. The transgenic Bt plants play a significant role in pest control, but their response and ability to cope with environmental stresses still need to be evaluated. Therefore, effect of salinity stress at 0, 50, 100, 150, and 200 mM on morphological, physiological, and molecular traits of T3 transgenic tomato plants containing cry1Ab gene (CH-Falat-Bt) was investigated and compared with that of the non-transgenic control (CH-Falat). Evaluation of the morphological traits (leaf area, root length, fresh and dry weight of roots) at different salinity levels revealed that CH-Falat-Bt transgenic plants are more tolerant to salinity stress compared to CH-Falat non-transgenic plants. The chlorophyll content at 150 and 200 mM salinity levels was 12 and 9% plants, respectively. Moreover, the amount of RWC, carotenoids, proline and soluble sugars increased significantly in transgenic plants as salinity levels increased. The relative expression of SOS1 and SOS2 genes showed a significant increase in all salinity levels in CH-Falat-Bt transgenic plants compared to CH-Falat non-transgenic plants. The amount of electrolyte leakage in the transgenic plants was significantly reduced compared to the non-transgenic plants. The results of morphological, physiological, and molecular investigations of CH-Falat-Bt transgenic plants confirmed that the undesirable effects of salinity stress on transgenic plants is much less than non-transgenic ones. in general CH-Falat-Bt transgenic plants are more tolerant to different applied salinity levels than the wild variety.
Razieh Khadivar, Ahmad Ismaili, Seyed Sajad Sohrabi, Hasan Torabi Podeh,
Volume 9, Issue 2 (3-2023)
Abstract
Drought stress is one of the main environmental factors that affects growth and productivity of crop plants, including lentil. In the course of evolution evolution, crucial genetic regulations mediated by non-coding RNAs (ncRNAs) have emerged in plant in response to drought and other abiotic stresses. In the present study, after identifying lncRNAs within the expression profile of lentil, RNA-seq data and real-time PCR analyses were employed to examine the expression pattern of some of the identified lncRNAs under drought stress. Additionally, psych R package was used to generate the lncRNAs-DEGs co-expression network. A total of 3590 lncRNA sequences were identified in lentils transcriptome. Numerous lncRNAs were co-expressed with genes involved in circadian rhythm regulation, zinc ion response, photosynthetic photoreaction, and ion homeostasis. The LCUL_evgLocus_104392, LCUL_evgLocus_99066 and LCUL_evgLocus_61876 sequences were differentially expressed in response to drought stress. Examining the co-expression of these sequences with differentially expressed genes in response to drought stress, led to the identification of metabolic pathways associated with these sequences. In this study, lncRNA sequences were identified for the first time in lentil, and provided useful insights into the function of lncRNA in plant resistance to drought stress. The lncRNAs-DEGs co-expression network can lead to a better understanding of drought response mechanisms in lentil.
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.
Ramezanali Pourali, Mohammadhadi Pahlevani, Khalil Zeinalnejad,
Volume 10, Issue 2 (2-2024)
Abstract
Increasing grain yield and improving the quality of bread are among the most important goals of wheat breeding programs in Iran. Understanding the genetic control of traits and finding molecular or morphological markers associated with them are also prerequisites for any genetic engineering program. In this study, 100 progenies of a 10 × 10 diallel cross were used to analyse the genetics of grain yield and bakery values using STS markers associated with HMWG subunits. This research was carried out during 2018 and 2019 cropping season at Gorgan University of Agricultural Sciences and Natural Resources experimental fields. In the first year, 10 wheat cultivars, including Gonbad, Morvarid, Kalate, Ehsan, Sirvan, Baharan, Chamran2, Shush, Mehrgan and Brat collected from different geographical regions of Iran were planted and crossed in the field. In the second year, the parents and crosses were planted in the form of a randomized complete block design with three replications. The grain yield, number of spikes per plant, number of seeds per spike, seed weight, days to emergence and plant height were recorded. The results of this study indicated significant genetic differences between the parents. Narrow-sense heritability analysis revealed that the crossing of cultivars is the best breeding method to enhance seed yield, number of spikes per plant and days to emergence. Also, to improve the number of seeds per spike, seed weight and plant height, classical breeding methods may offer higher efficiency. Marvarid and Gonbad were ranked 1st and 2nd, respectively with respect to general combining abilities for grain yield, attributed to their positive and significant general combining ability effects. The highest specific combining ability was observed for Ehsan×Gonbad, Marvarid×Chamran 2 and Shush×Sirvan crosses. The results of molecular markers analysis showed that the STS markers were able to identify the difference in the baking value of cultivars. The quality score of the cultivars ranged 6 and 10 and to this end, Kalate and Brat were the top cultivars. Therefore, due to superiority in terms of both quantity and quality for yield, these cultivars can be used as parents with desirable genes for future breeding programs. Overall, the STS markers employed in this study proved to be valuable markers for enhancing the genetic background of bread wheat, particularly when employing marker-assisted selection for bakery value.
Mohammad Nader Ebrahimi, Hadi Ahmadi, Mostafa Darvishnia, Daryoush Ghoudarzi,
Volume 10, Issue 2 (2-2024)
Abstract
Hexaploid winter wheat (Triticum aestivum L., 2n= 6x= 42, AABBDD) is an important small-grain cereal crop grown for food and feed. In Iran, wheat is the most cultivated cereal crop where winter wheat is ranked 1st in terms of production. Wheat fusarium head blight (FHB) is one of the most important diseases of wheat in humid and hot regions of the world, which causes a decrease in yield and grain quality. Fusarium head blight is caused by Fusarium graminearum. In order to investigate the resistance of some wheat traits against HBF, 27 varieties and lines of bread wheat were sown at the farm of Faculty of Agriculture, Lorestan University. The spikes were infected at the first flowering stage by spray inoculation. The results showed that there was a great diversity among the 27 varieties of bread wheat tested in terms of growth traits, yield components, and grain yield. The results of The Duncan's test for comparing means showed that cultivars Ghods, Shiraz, Morvarid 2, and Pishtaz had a significant superiority in terms of grain yield compared to other cultivars. The results of simple correlation and also stepwise regression analysis showed that the traits of 1000 seed weight, plant height, number of seeds per spike, number of spikes, spike length and plant height are very important traits for grain yield. According to values of broad sense heritability and genetic gain for plant height and high correlation of this trait and seed yield, plant height can be used as a suitable trait for improving seed yield by selection. The overall results showed that Shiraz, Pishtaz, Quds and Morwarid-2 cultivars are suitable for transferring resistance to wheat spike blight disease in breeding programs.
Forough Joudaki, Ahmad Ismaili, Seyed Sajad Sohrabi, Seyedeh Zahra Hosseini, Hadi Ahmadi,
Volume 10, Issue 2 (2-2024)
Abstract
Gall oak (Quercus infectoria) is one of the extraordinary tree species with functional medicinal properties within the oak family. Various studies have confirmed the presence of numerous secondary metabolites with therapeutic properties in this plant. Despite the significance of gall oak, its genetic structure remains elusive. Therefore, unraveling the genetic structure of gall ok may provide valuable insights into its potential applications across diverse industries. MicroRNAs emerge as pivotal genetic elements implicated in the biosynthesis of crucial metabolites across a wide range of different plant species. Despite the significant role of miRNAs in plants, as of yet, no miRNAs have been reported in Q. infectoria.. Therefore, in the present study, after assembling the transcriptome of Q. infectoria, the conserved microRNAs were identified. Leaf and root samples of Q. infectoria were collected from trees in the Shineh region, and 2-year-old seedlings were grown from mature oaks in Khorramabad (Lorestan Province, Iran). Total RNA was extracted from roots and leaves using the Djami-Tchatchou method. After sequencing by the Illumina HiSeq 2500 platform and checking the quality of all the generated reads, the adapter sequences were removed, and the high-quality reads were assembled using Trinity package. To identify miRNAs and their target genes, all plant miRNAs sequences were downloaded from the miRbase database. The BLASTn algorithm was employed to identify the highest similarity between unigenes and mature plant miRNAs. Furthermore, BLASTx was used to search against the non-redundant proteins (NR) database to remove protein-coding unigenes. The investigation of miRNA second-structure prediction involved assessing the similarity between potential unigenes and mature miRNA sequences using the mfold web tool. Identification of miRNA target genes and gene ontology (GO) was performed using the psRNAtarget web-tool and OmicsBox software, respectively. Following a range of strict filtering criteria, four miRNAs belonging to conserved miRNAs families were identified, including qin-miR156, qin-miR399, qin-miR160, and qin-miR172. KEGG pathway analysis showed the target genes were involved in the citrate cycle pathway. Examining miRNA target genes in Q. infectoria and analyzing their interaction network, finally led to the identification of three hub genes. Identified miRNA target genes were associated with the biosynthesis of various enzyme groups, suggesting that most of miRNAs regulating hydrolases, transferases, and oxidoreductases. Given the role of microRNAs in regulating transcription factors and their impact on genes involved in secondary metabolite biosynthesis, future breeding programs in Q. infectoria may benefit from the potential of such regulatory elements as a guide and key.
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