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Showing 2 results for Ghorbani
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.
Maryam Ghorbani, Kianoosh Cheghamirza, Saeed Abbasi, Zahra Aziziaram,
Volume 10, Issue 1 (9-2023)
Abstract
The current research was carried out to evaluate genetic diversity of 18 common bean cultivars and promising lines and to determine SSR and SCoT informative markers associated with 14 seed characteristics including the number of seeds per pod, 100 seed weight, seed length, seed width, the contents of crude protein, total soluble sugar, starch content, crude fat, iron, calcium, magnesium, zinc, uronic acid, and mineral ash. The polymorphism information content (PIC) values varied from 0.2 to 0.5 with an average of 0.39 for the SSR markers and from 0.19 to 0.42 with an average of 0.34 for the SCoT markers. The total average resolving power of SSR and SCoT markers were 1.54 and 5.34, respectively, indicating higher efficiency of SCoT markers than SSR markers for the diversity analysis. The common bean studied genotypes were clustered into three distinct groups for both markers based on the Complete Linkage method. Principal coordinate analysis (PCoA) for the SSR markers revealed that the first two principal components justified 59.05% of whole variation. For the SCoT marker, on the other hand, the fraction of variances explained by the first two principal components was equal to 25.43 indicating a better distribution of SCoT markers than SSR markers in the common bean genome. Analysis of molecular variance based on the grouping obtained from cluster analysis showed that the diversity within the group based on SSR and SCoT markers was equal to 89 and 78%, respectively. The results of regression analysis for the studied markers and the bean seed characteristics showed the existence of a significant relationships between a single marker with the several studied traits. This could indicate the association or linkage of the marker locations. Twelve out of 14 of the investigated common bean seed characteristics showed a significant relationship with at least one molecular marker.
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