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Articles by A. Ebrahimi
Total Records ( 3 ) for A. Ebrahimi
  M. M. Amin , A. Ebrahimi , M. Hajian , N. Iranpanah and B. Bina
  The purpose of this study was to undertake a spatial analysis of total organic carbon, electrical conductivity and nitrate, in order to produce a pollution dispersion and prediction map for the investigated area in the province of Isfahan in Iran. The groundwater samples were collected from a zone as a pilot study area of 80 km2, including 25 water wells, based on the criteria of vulnerability assessment projects, that is, about one well per 3 km2, during four seasons in 2008-09. In order to make any inferences about the areas that did not have well data, a statistical relationship between explanatory total organic carbon, electrical conductivity and nitrate variables related to well coordination was developed. The probability of the presence of elevated levels of the three compounds in the groundwater was predicted using the best-fit variogram model. According to spatial analysis, the highest R2=0.789 achieved was related to electrical conductivity and followed the exponential model with 0.266 for NO3- (spherical model) and 0.322 for total organic carbon (exponential model) in the spring 2009. This showed the high confidence level for electrical conductivity dataset and forecasted trends. The results of the spatial analysis demonstrated that the transfer trends of electrical conductivity in the groundwater resources followed the route of groundwater movement in all seasons. However, for nitrate and total organic carbon, a definite trend was not obtained and pollution dispersion depended on many parameters.
  K.H. Pirali kheirabadi and A. Ebrahimi
  In a study to investigate the current status of Mycoplasma agalactiae infections in sheep flocks in west central, Iran, a total of 54 and 47 conjunctival swab and milk samples were collected from normal healthy ewes of 26 herds, respectively. Using PCR method. Mycoplasma agalactiae detected in 20 out of 101 animals (19.8%) examined, 12 out of 54 (22.2%) of conjunctival swab and 8 out of 47 (17%) milk samples were positive. Samples of 20 (out of 26) herds were positives, that means 77% of sheep herds in this region have at least one ewes infected by M. agalactiae. The results confirmed that herds in west central Iran have currently about 20% infection rates for contagious agalactiae of sheep.
  P. Boroomandan , M. Khoramivafa , Y. Haghi and A. Ebrahimi
  Effects of nitrogen starter fertilizer and plant density on yield and oil and protein content of soybean (Glycine max L. Merr) are not well understood, because nitrogen starter fertilizer and plant density has been tested separately. Two years field experiment was conducted to evaluate effects of these factors on yield, yield components, oil and protein content in 2006 and 2007 in Kermanshah, Iran. The experiment was conducted on soybean (var. Williams) as a split-plot based on randomized complete blocks design with three replications. Nitrogen starter fertilizer treatments were arranged in three rates (0, 40, 80 kg ha-1) as main plots and plant density as sub plots arranged with three levels (15, 30, 45 plant m-2). Based on similarity treatments and experimental designs, the results of analysis of combined variance and mean comparisons showed significant (528.4 kg ha-1) yield increase as density increased from 30 to 45 plant m-2 and nitrogen starter fertilizer increased from 0 to 40 kg ha-1 in two years. Analysis of correlation showed a positive significant correlation between yield and number of seed per plant (r = 0.724), number of pods and yield (r = 0.463), thousand seed weight and yield (r = 0.437). A linear regression was found between yield and number of seed per plant, number of pods and thousand seed weight (yield = 37.58 + 0.73x1-0.14x2 + 0.7x3; r2 = 0.56); p<0.01). Seed protein was unaffected by plant densities, but nitrogen application changed it. Dissimilarly, oil content has a diverse respond to treatments. This experiment showed density of 45 plant m-2 and application of nitrogen starter fertilizer 40 kg h-1 are optimum and increase grain yield under condition of our experiment. We suggest to conduct some experiments for understanding of linear relationship for number of pod for understanding of linear relationship for number of pod for levels of nitrogen starter and quadratic relationship for number of seed for levels of density.
 
 
 
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