|
|
|
 |
Search published articles |
 |
|
Showing 3 results for Akbari
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.
Samaneh Akbari, Omidali Akbarpour, Payam Pezeshkpour,
Volume 8, Issue 1 (8-2021)
Abstract
The challenge of the interaction of genotype × environment is one of the main issues in plant breeding. Various statistical methods to estimate the interaction of genotype × environment and choice the stable and productive genotype(s) have been introduced. In this study, 14 lentil genotypes along with two controls (Sepehr and Gachsaran cultivars) were evaluated during four growing seasons (2016-2020). The experiments were conducted in a randomized complete blocks design in three replications at Sarab Changai Agricultural Research Station, Khorammabad (Iran). The combined analysis of variance was used to investigate the interaction of genotype × environment, and results of the analysis showed significant effects for genotype, year, and genotype × environment interaction. Genotypes G5 (FLIP2014-032L) and G12 (ILL8006) were introduced based on Si(1), Si(2), and NPi(1) statistics as stable and high-yielding genotypes. Based on various non-parametric statistics, genotypes G5 (FLIP2014-032L) with a mean grain yield of 1574.68 kg.ha-1 and G12 (ILL8006) with a mean grain yield of 1333.6 kg.ha-1 were introduced as stable genotypes. The heritability rate was estimated on the plot mean basis for yield trait in four years (0.61 ± 0.18) which indicated the capability of the studied genotypes to be selected and improved for grain yield. Based on the results of cluster analysis, the genotypes were divided into three main clusters. The highest distance was observed between the second and third groups. The first cluster included highly stable genotypes.
Nasrin Akbari, Siamak Alavi Kia, Mostafa Valizadeh,
Volume 10, Issue 2 (2-2024)
Abstract
Due to world population incline and the increasing wheat consumption as human main staple food, as well as high amount of waste of bread which is mainly due to its low quality, the wheat breeding programs to improve bread quality are of great importance. Therefore, evaluating the wheat grains quality and the genetic variation of bread-making quality traits among lines derived from crosses becomes imperative. To this end, the gliadin protein banding pattern of 28 recombinant inbred lines, their corresponding parents and 10 other commercial cultivars were examined via A-PAGE method. The variation between and within the lines and cultivars was determined using AMOVA according to the protein bands. The results of this study revealed high variation for gliadins coding loci with total mean of 73.96%. The percentage of polymorphism was estimated to be 91.67 and 56.25 for lines and commercial cultivars, respectively. The minimum and maximum number of gliadin bands were 12 and 25 bands, respectively. Also, based on PhiPT statistics, the significant difference was observed (P<0.05) between commercial cultivars and recombinant inbred lines in terms of gliadin banding patterns. Cluster analysis and PCoA via banding pattern of gliadins led to formation of three and four distinct groups, respectively. The highest variation was observed in ω-gliadins, suggesting that they may have a role in observed variation among genotypes and their bread making-quality traits.
|
|
