Showing 5 results for Erfani
A. Erfani, G.h. Haghnia, A. Alizadeh,
Volume 6, Issue 1 (spring 2002)
Abstract
A field study was conducted at the College of Agriculture, Ferdowsi University of Mashhad, to investigate the effect of irrigation with treated municipal wastewater on the yield and quality of lettuce and some soil characteristics. Five irrigation treatments were applied to a clay loam soil, classified as fine loamy mixed mesic Calcixerollic Xerochrepts, in a randomized block design with 5 replications. The treatments consisted of T1 (Irrigation with treated wastewater over all growing season), T2 (Alternate irrigation with treated wastewater and well water), T3 (Irrigation with well water and application of cattle manure), T4 (Irrigation with well water plus fertilizer N and P), and T5 (Irrigation with well water only as control). Chemical analysis of well water proved to be a suitable source for agriculture.
The results showed that the yield was higher in T1, T2, T3 and T4 as compared to the control treatment. Maximum fresh and dry yields were obtained from T3 & T1 and T1 & T3, respectively. Plant tissue analysis showed an increase in macronutrients (N, P, K) and heavy metal concentrations in shoots and roots of lettuce in the first four treatments as compared to the control. In T1, iron concentration was maximum while that of cadmium was minimum. Furthermore, microbial contamination was considerably higher in T1 and T2. Soil analysis indicated that in plots treated with wastewater, electrical conductivity, total nitrogen, available phosphorus, soluble boron and heavy metal concentration increased. However, their values were all below international standards. More experiments seem to be necessary in this regard.
M. Bahar, S. Ghobadi, V. Erfani Moghaddam, A. Yamchi, M. Talebi Bedaf, M. M. Kaboli, A. A. Mokhtarzadeh,
Volume 10, Issue 2 (summer 2006)
Abstract
To determine genetic diversity among some Iranian local varieties of alfalfa, six geographically diverse populations including: Bami, Rahnani, Nikshahri, Yazdi, Hamadani (from Isfahan), Hamadani (from Shiraz) along with Ranger, an American commercial variety, were evaluated using a set of 24 EST-SSR primers developed from cDNA library of Medicago truncatula and three microsatellite loci, identified from genomic library of M. sativa. Of the pairs of primers tested, four loci from EST-SSRs (AW9, BEE, TC6 and TC7) and genomic microsatellite (Afctt32), were found appropriate for assessing genetic diversity between these alfalfa genotypes. In total, 46 alleles were detected from the five loci in the samples of alfalfa examined. The number of alleles per locus in populations ranged from six to eleven and genetic diversity indices of loci were variable from 0.62 to 0.87 for the populations. Genetic relationship analysis of EST-SSR data revealed separation of Iranian populations from Ranger. It is likely that the parental origin of primary population from which Ranger has been derived is different from that of Iranian populations. Iranian local populations of alfalfa in this study were grouped in two main clusters. Alfalfa populations Hamadani and Rahnani, which are adapted to cold claimates, were grouped in one cluster and populations Bami, Yazdi and Nikshahri, belonging to the trpoical areas, were placed in the next cluster. The positioning of EST-SSR loci in coding regions of genome, possibly increases the usefulness of these markers to clarify inter specific genetic relationships among alfalfa populations.
J. Erfani Moghaddam, A. Ebadi, M. Fatahi Moghaddam,
Volume 12, Issue 45 (fall 2008)
Abstract
Seedlessness is the most important characteristic of fruit quality for raisin and table grapes. Grape breeding at University of Tehran, Karaj branch, Iran started in 1999 with crossing some selected seedless and seeded cultivars at the end of evaluation of 90 cultivars in grapevine collection of College of Agriculture in Karaj. Out of 1400 progeny obtained from 26 different crosses, 381 of them which produced fruits were evaluated during growing seasons of 2006 & 2007. Progenies were divided into four groups of completely seedless, semi-seedless, semi-seeded and completely seeded, according to seed trace or seed weight. Results classified progeny to 11% completely seedless, 13.6% semi-seedless, 24% semi seeded and 51.2% completely seeded. Percentages of seedless progeny for four male parents of Askary, Yaghooti, Bidane Sefid and Bidane Ghermez were 15.4%, 10.8%, 9.3% and 10.6%, respectively. Meanwhile, percentages of seedless progeny for female parents of Muscut of Hamburg, Ghezel Uzum, Dizmary, Rajabi Sefied, Ali Baba, Alhaghi Ghermez and Tabariz were 5.4%, 5%, 17.5%, 13.2 %, 1.4%, zero and 36%, respectively. Results also showed that among male parents, Yaghooti and Bidane Ghermez cultivars and among female parents, Tabarze cultivar had better backgrounds to transmit stenospermocarpic seedlessness characteristics.
M. Erfanian, S. Babaei Hessar,
Volume 18, Issue 70 (winter 2015)
Abstract
Concerning the drying problem of the Lake Urmia in Iran, so far the relevant scientific research has not been conducted based on watershed management principles. The surface solar radiation (Rs) is one of the key input parameters in most of reference evapotranspiration (ET0) prediction models. In the present research, four solar radiation models were evaluated to predict the monthly-mean values of daily ET0 at seven synoptic stations located in the Lake Urmia basin during the 1985-2005 period. For the ET0 prediction, we applied the Penman-Monteith-FAO 56 model (PMF56). At first, we evaluated four radiation models consisting of Hybrid: H, Ångström-Prescott: AP, Modified Daneshyar: MD, and Modified Sabbagh: MS. Four statistical criteria used included the mean error (ME), the mean absolute error (MAE), the root mean square error (RMSE), and the mean percentage error (MPE). The mean RMSE value of hybrid model was 1.7 MJ/m2/day while the RMSEs for the AP, the MD and the MS models were 2.9, 2.3, and 2.9 MJ /m2/day, respectively. The results revealed a higher performance of hybrid model to predict the monthly radiation. In addition, the Rs models used in the original PMF56 model were compared with a case in which the measured daily Rs data was used. Finally, by integrating the hybrid model and the PMF56, we developed a coupled model as PMF56-Hybrid. The application of the Hybrid and the MD models resulted in a decrease in the RMSEs. The AP model used in the PMF56 showed about 19% overestimation.
M. Erfanian, H. Farajollahi, M. Souri, A. Shirzadi,
Volume 20, Issue 75 (Spring 2016)
Abstract
The aim of this study is to prepare the groundwater spring potential map using Weight of Evidence, logistic regression, and frequency ratio methods and comparing their efficiency in Chehlgazi watershed, province of Kurdistan. At first, 17 effective factors in springs occurrence including geology, distance to fault, fault density, elevation, relative permeability of lithological units, slope steepness, slope aspect, plan curvature, profile curvature, precipitation, distance to Stream, drainage Stream density, Sediment Transport Capacity Index (STCI), Stream Power Index, topographic wetness index (TWI) and land use/land cover (LU/LC) were selected. The validation processes of methods were conducted by relative performance characteristic curve (ROC). The area under an ROC curve (AUC) for the weight of evidence, logistic regression and frequency ratio was 85/8%, 79% and 89%, respectively. The results showed that all methods are suitable estimator for mapping the groundwater spring potential in the study area. But the frequency ratio method with the most amounts is the best method to produce and map the groundwater spring potential. Also, validation of the mappings based on the percentage of pilot springs, training springs and all springs showed that the logistic regression, WoE and frequency ratio, with 45, 56 and 45 percent of spring occurrence on the high potential classes respectively, had the highest validation.
