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Showing 2 results for Mohsenifar
Allelic Variation of Hardness Genes (puroindoline a and b) in Iranian Commercial and Landrace Wheats
Kh. Malekzadeh, F. Shahriari, M. Farsi , E. Mohsenifard,
Volume 12, Issue 45 (fall 2008)
Abstract
Kernel hardness is one of the most important characterizations on end-use quality of bread wheat and also used for their marketing classification. Kernel texture, mainly controlled by one major locus (Ha) located on the short arm of chromosome 5D. Two tightly linked genes as puroindolin a , and b covered by this major locus and designed as Pina and Pinb respectively. When both puroindolines are in their ‘functional’ wild state, grain texture is soft. When either of the puroindoline alleles is absent or alter by mutation, then the result is hard texture. In this study, 61 Iranian commercial cultivars and 92 landraces were investigated for their kernel hardness and puroindoline alleles using SKCS and, PCR and cleaved amplified polymorphic sequences (CAPS) techniques respectively. Specific primers were used to amplify Pina and Pinb. The results indicated that frequency of hard, mixed and soft genotypes were 65.6, 19.6 and 14.8% respectively, in commercial cultivars and 58.7, 13 and 28.3% in landraces varieties. Among hard type of commercial cultivars, 18 and 5, genotypes have identified as Pina-D1b and Pinb-D1b respectively. Kavir was only cultivar with Pinb-D1e allele. Pinb-D1b allele was identified in two hard types of landrace varieties. Surprisingly, Pinb-D1c was not found in any varieties. Influence of the above proindoline alleles on kernel hardness showed that the SKCS hardness index of Pina-D1b was significantly higher than that of Pinb-D1b. Our knowledge about the genetic basis of kernel hardness could provide useful information in breeding programs of bread wheat.
Identification of Sources and Origin of Heavy Metal Emissions in Surface Soils Around Khuzestan Steel Company in Ahvaz City
Fatemeh Jafarian, Khoshnaz Payandeh, Ahad Nazarpour, Ali Gholami, Kamran Mohsenifar,
Volume 30, Issue 2 (summer 2026)
Abstract
The steel industry plays an important role in the release of toxic pollutants, including heavy metals, into the environment. The present descriptive-applied study was conducted in 2022 to identify the sources of heavy metal emissions in surface soils in the vicinity of a steel industry using positive matrix factor and chemical mass balance models. Soil samples (50 samples) were systematically collected from four areas within the steel plant, and a control area of 15 km was established. Five main sources, including the earth's crust (factor 1), vehicles (factor 2), steel industry (factor 3), biomass (factor 4), and other sources (factor 5), were identified as the main factors of heavy metals in the positive matrix factor model. Cobalt, nickel, and zinc had the highest mean concentrations with values of 14.5, 1.21, and 0.92mg kg-1, respectively. Cadmium and Lead showed the lowest concentrations with values of 0.02 and 0.10 mg kg-1 in samples inside and outside the Khuzestan Steel Company area, respectively. Comparing the contribution of different sources in the release of heavy metals in the identified factors showed that the steel industry, other sources, earth's crust, vehicles, and biomass accounted for 24, 23, 19, 18, and 16 percent in the positive matrix factor model and 23, 22, 20, 18, and 17 percent in the chemical mass balance model, respectively. The positive matrix factor and chemical mass balance models showed that there was a high level of soil contamination with heavy metals in the vicinity of the Khuzestan Steel Company in Ahvaz city.

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