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Showing 3 results for Bean

Elham Ghazizadeh, Amir Mousavi, Faranak Hadi,
Volume 1, Issue 2 (2-2015)
Abstract

As genetically modified organisms (GMOs) development is now increasing, detection and determination of their quantitative threshold using reliable methods would be necessary. The goal of this study was to introduce a sensitive method for qualitative and quantitative detection of Roundup-ready soybean samples. For primary screening, semi-quantitative molecular assays have been used for detection of various percentages of transgenic and non-transgenic Roundup-ready soybean samples. Furthermore, an experiment was conducted using the CaMV 35S primers in combinations with soybean lectin-specific primers in two imported samples of soybean seeds. Real-time PCR-based analysis indicated that the amount of GMO material in the seeds and the limit of detection (LOD) obtained for 35S sequence was less than 1%. The sensitivity and accuracy of this method had conformity with the international standards of seed labeling. This is the first report of its type for quantitative detection of a genetically modified material in a commercial seed lot in Iran.
Negin Eslahi, Mojegan Kowsari, Mostafa Motallebi#, Mohammad Reza Zamani, Sepideh Akbari,
Volume 6, Issue 1 (9-2019)
Abstract

The transition from the vegetative phase to reproductive phase is the most important event in production and genetic innovation. This phenomenon is influenced by many genetic and environmental factors in plants. According to studies carried out in this field, one of the environmental factors affects the reproductive and flowering process is Trichoderma species, which is abundant in soil. This study was carried out to evaluate the ability of two recombinant Trichoderma harzianum strains containing chimeric chit 42 (with CHBD domain) and wild-type strain to promote common bean flowering and yield increase in vivo condition. To do this, flowering parameters such as a number of flowers, flowering time and effective parameters in yield were evaluated. Also, expression level of some flowering-related genes such as FT and SOC1 were measured using real-time PCR. The results showed that the bean plants treated with recombinant strains had a significantly increased number of flowers and earlier flowering compared to the control and wild type Trichoderma. Also, plants treated with recombinant strains showed a significant difference in the number and weight of the pod compared to the plant treated with wild type strain and non-treated plants. In addition, the plants treated with T13 strain showed more expression levels of the FT and SOC1 genes (with ratio of 3.42 and 3.41 fold respectively) compared to other treatments and control plant. Finally, T13 recombinant strain exhibited a better performance compared to the other strains through a positive effect on flowering and then increased the crop yield.

Hossein Astaraki, Peyman Sharifi, Fatemeh Sheikh,
Volume 6, Issue 2 (3-2020)
Abstract

In order to estimation genotypic correlation and heritability of some faba bean traits, 26 faba bean genotypes were evaluated in a randomized complete block design with three replications during 2014-16 growing seasons in Agricultural Research Sation of Borujerd located in Lorestan province, Iran. The restricted maximum likelihood (REML) was used to estimate the genotypic and phenotypic correlations, broad sence heritability and genetic gain. Analysis of variance based on least squares and REML indicated significant effect of genotype on days to maturity, plant height, hundred seed weight, pod length and dry seed yield. Genotype×year interactions were significant on all of the traits except of pod length. Borujerd cultivar (G26) and G20 had the highest dry seed yield in both of years. REML results indicated a significant positive genetic correlation between dry seed yield and biological yield and plant height. Also, there were a significant negative phenotypic correlation between dry seed yield and days to maturity, and significant positive phenotypic correlation between dry seed yield and plant height, biological yield and harvest index. So, the selection of early maturing genotypes with a higher yield is achievable and selection can be done to improve the performance of dry seed yield. Cluster analysis indicated variability among genotypes. According to values of broad sence heritability and genetic gain for plant height and high genetic correlation of this trait and dry seed yield; plant height can be used as a suitable trait for improving dry seed yield by selection.


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