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Showing 2 results for Aharizad
Faranak Khanmakoo, Seyed Abolghasem Mohammadi, Robab Salami, Saeed Aharizad,
Volume 5, Issue 2 (3-2019)
Abstract
Fungal diseases, especially leaf and stripe rusts are wheat yield reducing factors in Iran and the world. In this study, genetic diversity of 20 wheat varieties with different response to leaf and stripe rusts were studied using primers designed based on the conserved regions of plant disease resistance genes. The banding patterns of polymorphic markers were scored as dominant and number of amplified bands and percentage of polymorphism were determined. In addition, for each primer combination, polymorphic information content (PIC) and marker index (MI) were calculated. Out of the 11 used single primers and primer combinations, five primer combinations and a single primer produced scorable amplification. The maximum and minimum of PIC were observed for LLOOP-1 and H2016-H2020 primer combination with mean value of 0.50 and 0.28, respectively. The primer combinations of H2016-H1146 and H2016-H2020 with mean values of 4.80 and of 2.84, had minimum and maximum of MI, respectively. Cluster analysis based on Neighbor-Joining algorithm and evolutionary P-distance coefficient assigned the varieties into four groups which were in agreement with their response to yellow rust. In principal coordinate analysis, the scatter plot of varieties based on two first coordinates confirmed the groups obtained from cluster analysis.
Mozhgan Shirinpour, Ehsan Atazadeh, Ahmad Bybordi, Saeid Aharizad, Ali Asghari, Ashkboos Amini,
Volume 10, Issue 1 (9-2023)
Abstract
Considering the importance of maize production and the impact of water deficit stress on reducing the yield of maize, estimating the genetic components and heritability of traits for determine the breeding method under water deficit stress is essential in breeding programs. The generations drived from a cross between two inbred lines of maize including B73 (maternal line) and MO17 (paternal line), SC704 (F1) as well as F2, BC1, BC2 and F3 generations in order to estimate the genetic effects and heritability of yield, yield components and morphological traits were studied. Seven maize generations using the generations mean analysis under the full irrigation, mild and severe water deficit conditions were evaluated. The experiment was conducted in the form of randomized complete block design with 20 replications per experimental unit during two cropping seasons (2018-2019) at the Agricultural Research Station of University of Tabriz. The results of two-year combined analysis of variance and mean comparisons under three different irrigation regimes showed that water deficit stress significantly reduced all of the studied traits (except root/shoot ratio). The generations mean analysis showed the high contribution of non-additive gene effects for the genetic control of grain yield, ear diameter, number of kernel row, ear weight (in full irrigation conditions), 100 grain weight, plant height, fresh shoot weight and biological yield traits. According to these results, selection in the advanced generations and the breeding method based on hybridization can be effective to improve these traits. Also, the significant contribution of additive gene effects in controlling the inheritance of ear length, ear weight (in both stress conditions) and root/shoot ratio traits indicated that selection in early segregating generations and inbred parents can be effective for breeding of these traits and taking advantage of additive variance. Hybrid SC704 and inbred MO17 compared with the inbred B73 showed the lowest variation percentage under the water deficit stress conditions, which indicated their high yield potential and stability in the stress conditions.
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