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Showing 2 results for Oil Seeds

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.

Davood Kiani, Gholamreza Ghodrati, Sadollah Mansouri,
Volume 9, Issue 1 (9-2022)
Abstract

Sesame is an important crop plant for harsh environmental conditions because it is relatively resistance to drought stress. Evaluation of different genotypes in different climate condition plays a fundamental role in selection of the best genotypes before the commercial release of a variety and helping in identify plant traits that should be monitored during breeding experiments. In the present study, 10 promising lines obtained from the preliminary yield test were investigated to evaluate the yield compatibility along with 6 local cultivars in a randomized complete block design experiment with three replications in two cropping years (2018 and 2019) in Dashtestan climate condition in Bushehr province. During the growing season, phenology traits, grain yield components and grain yield were measured. Based on the results of ANOVA, statistically significant difference was observed between different genotypes for plant height, height of the first sub branch, height of the first capsule, number of sub branches, number of capsules per plant, length of capsule, length of capsule bearing zone, number of seeds in capsule and grain yield. Based on the mean comparison and biplot analysis the genotype 12 (Local Dashtestan), 2 (SES97-103), 7 (SES97-110) and 15 (Local Jiroft), were identified as superior genotypes for grain yield. Genotype 5 (SES97-105) and genotypes 14 (SES97-124) with 104.5 days and 4 (Local Darab1) with 111 showed the highest and lowest number of days to maturity, respectively. First capsule height showed the highest positive and significant phenotype (0.56) and genetic (0.78) correlation with grain yield. Days to the end of flowering and days to physiological maturity traits showed a negative genetic correlation with yield. Cluster analysis separated 16 sesame genotypes into four separate groups. Based on regression analysis, the height of the first capsule was identified as the most sensitive trait in predicting the yield of sesame genotypes in Dashtestan region in Bushehr province, which seems it can be considered during breeding programs.


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