Showing 3 results for Yazdi Samadi
A. Rezaizad, B. Yazdi Samadi, M.r. Ahmadi, H. Zeinali,
Volume 5, Issue 3 (fall 2001)
Abstract
To determine the relationships between yield and its components, and to find the direct and indirect effects of yield-related traits on soybean yield, 240 genotypes were grown in the Research Station, College of Agriculture, Karaj, Iran, in 1997-98 using an augmented design. The study of correlation analysis showed that number of seeds per plant and seed yield per plant had the highest significant correlation coefficient (r=0.92). Other significant correlation coefficients were found between biomass per plant and yield (r=0.86) and between number of pods per plant and yield (r=0.67). Results of stepwise regression analysis revealed that number of seeds per plant, seed weight, and number of seeds per pod were the three major traits affecting seed yield in soybean. However, path analysis showed that only two of the three above-mentioned traits, namely, number of seeds per plant and seed weight, are quite important for soybean selection programs. Stepwise regression analysis was used again, omitting number of seeds per plant, which showed that number of pods per plant, seed weight, plant height and number of days to 90% maturity, are important contributors to yield. Path analysis, this time, revealed that the correlation effects to plant height and number of days to 90% maturity on yield is due to the indirect effects exerted through other traits. It is concluded that three traits, namely, number of seeds per plant, seed weight and number of pods per plant have notable effects on soybean seed yield.
P. Norouzi, D. Cai, M. A. Malboobi, B. Yazdi Samadi,
Volume 7, Issue 3 (fall 2003)
Abstract
OF2 and VAP genes, probably involved in signal transduction of sugarbeet nematode resistance, have already been cloned in bacterial vector by AFLP molecular marker and a two-hybrid system, respectively. To examine their capability to introduce resistance in sugarbeet, the genes were transferred to plant expression vectors. For this reason, OF2 gene after isolation was inserted within T-DNA of pAM194 binary vector, downstream of CaMV35S constitutive promoter and also inserted within T-DNA of modified pBin121 binary vector, downstream of HS1pro-1 gene inducing promoter (responsible for nematode resistance). VAP gene after isolation was inserted within T-DNA of pAM194 plasmid, downstream of CaMV35S constitutive promoter. Thus, three new constructs were made in which genes of signal transduction pathway were expressed to give beet cyst nematode resistance. These plasmids were separately transferred to Agrobacterium rhizogenes, strain AR15834. In the next step, petiole explants of sugarbeet were inoculated with the bacterial cells. Transformation-derived hairy roots were analyzed by GUS staining and/or PCR and were then inoculated with nematode larvae. Primary results showed partial resistance against nematode larvae in some hairy roots. As a result, this resistance can be related to OF2 and VAP genes effect.
A.h Hosseinzadeh, I Bernousi, M Mardi, M Bihamta, S Omidi, B Yazdi Samadi,
Volume 13, Issue 47 (4-2009)
Abstract
Fusarium head blight (FHB) is one of the most destructive diseases of wheat causing significant reduction in grain yield and quality. Development of resistant varieties is an effective, economical and enviromentally safe way to control FHB disease. A major QTL (quantitative trait locus) for Fusarium head blight resistance, Qfhs.ndsu-3BS, derived from cv. Sumai 3, has been identified and verified by several research groups via molecular marker analysis. The resistant cv. Sumai 3 was crossed to susceptible cv. Falat, then three backcrosses were followed by one self-fertilization. Three simple sequence repeat (SSR) markers, Xgwm 389, Xgwm493, Xgwm533, were used for marker assisted selection (MAS) in BC1 and BC2 generations.The probability of linkage between markers and Qfhs.ndsu-3BS was calculated using a binomial probability function based on the assumption that a molecular marker at a specific distance from Qfhs.ndsu-3BS in the population would carry the donor-parent allel as a function of the distance between marker and QTL and the number of backcrosses/selfs used in deriving the population. Microsatelite locus Xgwm 493 was significantly associated with Qfhs.ndsu-3BS.
