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Showing 2 results for Razmi
Mohammad Reza Jafarzadeh Razmi, Saeid Navabpour, Hossein Sabouri, Seyedeh Sanaz Ramezanpour,
Volume 6, Issue 2 (3-2020)
Abstract
In order to analyze the genetic components of agronomic traits among 116 F9 recombinant lines derived from crosses of Ahlamitarom × Sepidroud rice cultivars, an experiment was conducted as a randomized complete block design in research farm of Gonbad Kavous University of Agriculture with three replications in 2016 and 2017. Genetic linkage map provided with 80 SSR markers, 28 iPBS Markers (79 polymorphic alleles), 7 IRAP markers (17 polymorphic alleles) and 26 ISSR markers (70 polymorphic alleles), which covered 1275.4 cM of the rice genome. QTL analysis was performed by Composite Interval Mapping. In two years, 15 QTLs detected for the studied traits. The additive effected varied from 6.725 g for grain weight up to -85.626 g for grain weight. Also, R2 for the detected QTLs explained from 11.3% to 20% of the total variation. The highest R2 was related to grain weight in the first year of experiment. Among the detected QTLs, qGWs on chromosome 1, were found to be stable and large effector QTLs for rice (Oryza sativa L.) grain weight, and can be used in marker-assisted breeding and selection programs after validation.
Nasrin Razmi, Ebrahim Hezarjaribi, Abbasali Andarkhor,
Volume 9, Issue 2 (3-2023)
Abstract
Soybean is the promising oilseed in the face of protein and oil shortage. In this study 16 advanced soybean genotypes, in terms of seed yield and yield components were evaluated using multivariate statistical methods. This experiment was carried out in the form of randomized complete block design (RCBD) in the research farm of Ardabil Agricultural and Natural Resources Research Center (Moghan) for two consecutive years (2017-2018). Combined analysis of variance emphasized the statistically significant differences for seed yield, yield components and growth period among these soybean genotypes. Based on the mean comparison results, G1, G5 and G11 genotypes had the highest grain yield, longest growth period was observed in G1, G16 and G6 genotypes and highest number of seeds per m2 was belonged to G1, G16 and G9 genotypes. The broad sense heritability for plant height, seed yield and number seed in m2 were 0.92.07, 75.31 and 79.25 percentage, respectively. Also, the results showed that there was a positive and significant correlation between seed yield and leaf area of per plant, growth period, number of seeds per m2 and number of pods per plant. Genotypes were classified into four distinct groups in cluster analysis and the Ward method. The results of principal component analysis and biplot confirmed by the clustering results, too.G1, G2, G5 and G11 genotypes belong to the first group from cluster analysis with higher seed yield and number of seed per m2, and these genotypes are recommended in future breeding programs.
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