Salinity of soil or irrigation water is one of the most important obstacle towards crop production and productivity, especially with the increasing scarcity of fresh water in Iraq and the Arab countries. The impact of salinity will be alleviated with the increasing temperature due to global warming. The objectives of this article was to shed some light on traits more related to salinity stress tolerance in oats, and to identify genetic variation of these traits. A split-plot arrangement experiment with RCBD was applied through 2011-2013 on the farm of Dept. of Field Crops/Coll. of Agric./Univ. of Baghdad. The oats cultivars; Hamel, Pimula and Genzania were set in sub-plots, whereas water quality was set in main-plots. Water quality had two treatments, fresh water (1.5 ds.m-1 ) and saline irrigation water (6.0 ds.m-1 ). The results revealed that Genzania cv. oat yielded the other two cultivars. This cultivar elapsed 121 d to flowering, 152 d to maturity, and gave 379 racemes.m-2 , 47 kernel. raceme-1 , 32.1% harvest index, 17740 kernel.m-2 and 5.3 t.ha-1 grain yield across both years. Salinity of irrigation water did not affect any of plant height, days to flowering and maturity, stems.m-2 , racemes.m-2 , dry matter yield, kernel filling period, kernel growth rate, or kernel weight. On contrary, water salinity reduced each of crop growth rate, fertility (kernel/raceme), kernel.m-2 , and grain yield. Each one ds.m-1 above 1.5 ds.m-1 reduced grain yield by 3.8%. Highest traits in genetic/environmental variance were kernel weight, and number of stems.m-2 . However, this ratio was similar in traits of harvest index, kernel filling period, and days to flowering and maturity. There was no absolute relationship between trait genetic variance and its response to salinity. Kernel weight and number of stems.m-2 were the best traits to select for salt tolerance in oats. It was recommended to study flowering syndrome including fertility under salinity stress. Crop growth rate should be determined for each of vegetative and reproductive phases of that crop.
This study was to examine the effect of a mental training program, including a combination of autogenic training and imagery, on a number of mental skills and on the development of personality traits-psychological hardiness as well as conscientiousness, openness to experience, and neuroticism-in Adolescent male volleyball players. 60 adolescent male volleyball players (aged 15–17) participated in a two-group, pretest-posttest design. The experimental group (n = 30) completed 8-week mental skills training program, including imagery, self-talk, attention control, and relaxation, while the control group (n = 30) followed regular training. Psychological hardiness and selected personality traits were measured pre-and post-intervention using va
... Show MoreDiabetic foot ulcer (DFU) or Lower limb ulcers are one of the major complications caused by diabetes mellitus especially when patients fail to maintain tight glycemic control. DFU is linked to multiple risk factors along with the genetic factors and ethnicity which play a significant role in the development of DFUs through their effects on multiple aspects of the pathophysiological process. This narrative review aimed to summarize all the previous studies within the last ten years associating gene polymorphism and DFU. Polymorphism associated with vascular endothelial growth factor (rs699947), the G894T polymorphism of the endothelial nitric oxide synthase gene, interleukin-6–174 G>C gene polymorphism, heat shock protein 70 gene polymorph
... Show MoreTexture synthesis using genetic algorithms is one way; proposed in the previous research, to synthesis texture in a fast and easy way. In genetic texture synthesis algorithms ,the chromosome consist of random blocks selected manually by the user .However ,this method of selection is highly dependent on the experience of user .Hence, wrong selection of blocks will greatly affect the synthesized texture result. In this paper a new method is suggested for selecting the blocks automatically without the participation of user .The results show that this method of selection eliminates some blending caused from the previous manual method of selection.
Background: Alopecia areata(AA) is a common autoimmune disease that causes hair loss without scarring. It occurs as a result of T-helper 1 (Th1) and Th17 cells attacking the anagen hair follicles. Genetic factors play a role in the occurrence of infection, which stimulates the production of pro and anti-inflammatory interleukins. Polymorphisms of IL-37 play a role in autoimmune diseases. However, IL37 single nucleotide polymorphisms(SNP) have not been identified in patients with AA. Therefore, this study aimed to reveal the IL37 gene SNP and its relationship to AA. Methods: Genotyping of IL-37 gene single nucleotide polymorphisms SNPs were detected using sequence-specific primer-polymerase chain reaction (SSP-PCR) method was done following
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