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Showing 2 results for Zarei
Farshad Fallah, Danial Kahrizi, Abbas Rezaeizad, Alireza Zebarzadi, Lila Zarei,
Volume 6, Issue 2 (3-2020)
Abstract
After cereals, oilseeds are the second-largest food reserves in the world. According to available statistics, more than 95 percent of Iran's oil needs are imported. Given the growing need for edible oils in Iran, it is important to identify fatty acids in the oilseed crops. Camelina sativa L. is an oil-medicinal plant and belongs to the Brassicaceae family that requires very little water and fertilizers. It is known as a low input plant. In this study, to analyze the fatty acid profile for breeding programs and specific industries, 137 doubled haploid camelina lines were evaluated in terms of fatty acid composition and variability of fatty acids trait, to estimate phenotypic coefficient of variation (PCV), genotypic coefficient of variation (GCV), heritability, and expected genetic advance. The determination of fatty acid by gas chromatography showed that 18 types of fatty acids were detectable in camelina seed oil. It is shown that the two fatty acids (C14:0 and C16:1) have the highest PCV and GCV. The highest heritability for C20:2, C20:3 and C20:0 fatty acids was estimated 98.92, 98.59 and 96.49 percent, respectively. In this study, two lines with linoleic acid of 35.81-36.67% and four lines with values ranged from 22.08-23.00% were introduced. The ratio of omega-6 to omega-3 (0.479-0.759) was obtained in the studied lines.
Parastoo Zarei, Hedieh Badakhshan, Ghader Mirzaghaderi,
Volume 11, Issue 1 (9-2024)
Abstract
Evaluating genetic diversity in plant species is essential for crop improvement. This research compared the genetic diversity between common oat (Avena sativa) and wild oat (Avena fatua) using molecular markers, phenotypic traits, and chromosomal characteristics. SCoT and IRAP markers generated 283 and 117 bands, respectively. Both marker systems revealed higher polymorphism in wild oat compared to common oat. SCoT markers showed 65.37 percent polymorphism in wild oat versus 60.07 percent in common oat, while IRAP markers exhibited 76.07 and 69.23 percent polymorphism, respectively. Genetic diversity indices (Ne, He, and PIC) indicated slightly higher genetic diversity in wild oat for both marker systems, although the genetic distance between the two species was relatively low. Population structure analysis using Bayesian methods, Principal Coordinate Analysis (PCoA), and Analysis of Molecular Variance (AMOVA) consistently identified distinct subpopulations and significant genetic variation within species. Phenotypic trait analysis revealed significant differences among genotypes. Common oat genotypes generally exhibited greater plant height, while wild oat genotypes had higher 100-seed weight. Heatmap cluster analysis grouped genotypes into three clusters based on phenotypic traits. All genotypes were hexaploid but showed differences in chromosomal parameters such as total chromosome length, centromeric index, and dispersion index. However, no significant differences were found between common and wild oat species in these parameters. Principal Component Analysis (PCA) of chromosomal parameters explained 94.72 percent of the cumulative variance, with PC1 emphasizing centromere position and PC2 highlighting chromosomal asymmetry. This comprehensive study provides valuable insights for breeding and conservation strategies in oat species.
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