Showing 4 results for Ziaee
S. M. Taghavi, M. Ziaee,
Volume 7, Issue 1 (spring 2003)
Abstract
In order to compare Pseudomonas syringae pv. syringae (Pss) isolates from cereals, citrus, stone fruits and weeds by phenotypic characteristics, serological properties and pathogenicity, samples were taken during 1998-1999 in Fars Province, Karaj, Fereidan, Aligudarz and Shahrekord regions. From 350 fluorescent isolates, 47 were negative with respect to oxidase, potato soft rot and arginine dihydrolase tests but positive in hypersensitive reaction (HR) on tobacco, pelargonium, or both. In complementary biochemical tests, these isolates were identified as Pss. Based on LOPAT (levan, oxidase, potato soft rot, arginine dihydrolase and HR on tobacco leaves) tests, the isolates were divided into two groups, but based on the results of GATTa tests alone, isolates were divided into nine groups. Isolates from different hosts showed differences in lipolysis, syringomycin production, ice nucleation activity, lecithinase, pathogenicity, serology and protein profiles.
A. R. Ziaee, A. A. Kamgar-Haghighi, A. R. Sepaskhah, S. Ranjbar,
Volume 10, Issue 3 (fall 2006)
Abstract
In the present research, for the development of Fars province minimum temperature atlas, minimum daily temperature data of 20 evaporative stations of Fars Regional Water Organization and five synoptic stations of Fars Meteorological Organization were used. At first, two starting times were selected for all of the stations. The first was the first day of Farvardin for analyzing the spring frost and the secend was the first day of Mehr for analyzing the autumn and winter frost. Also, the temperature range of 0 to –1.5 was classified as mild frost or freeze, the temperature range of -1.5 to –3 as the moderate frost or freeze and temperature below –3 as severe frost or freeze. The data of minimum temperatures, the first and the last days in which the three temperature ranges occurred and the day of the lowest temperature based on the two starting times were recorded. The selected number of days (dates) were fitted to the distribution functions by SMADA software and the best distribution function was identified using the statistical parameter Root Mean Square. The best fitted distribution functions were Pearson type III and log Pearson type III. Then, based on the fitted distribution function, the number of days for the occurrence of the first and last frost and number of days for the occurrence of the first lowest temperature were determined at 50 and 70% probability levels. Finally, each of these occurrence dates was plotted with Surfer software using the geographical positions of each station (longitude and latitude) for Fars province. Based on these plotted maps, the best days of planting and harvesting of the crops can be determined throughout the Fars province.
S.m Ziaee, M Kafi, J Shabahang, H Khazaee, M Soleimani,
Volume 13, Issue 47 (4-2009)
Abstract
Production of halophytes using saline waters and soils, and feeding livestock with them, is one of the most sustainable ways of desert ecosystems conservation and food production for people living in these areas. A field experiment was conducted at Salinity Research Station, Ferdowsi University of Mashhad, in 2007 to evaluate the effect of planting density and harvesting time on oil and protein yield of Kochia. Treatments were arranged as a split-plot based on a randomized complete block design with three replications. Planting density (10, 20, 30 and 40 plants m-2) as assigned to main plots and two dates of harvesting (after 50% flowering and full maturity) constituted the sub-plots. Plant density had a significant effect on grain yield, mean seed weight, harvest index, oil yield, oil content and protein yield at maturity stage. Forage and protein yield were also affected by plant density at the harvest date of 50% flowering. Total dry matter, protein yield and percentage differed significantly between the two harvest dates. The greatest grain yield (2590 kg ha-1) and oil yield (357.7 kg ha-1) were achieved from 20 plants m-2, whereas those from 10 plants m-2 were minimal. Maximum protein yield (3390 Kg ha-1) was obtained from the planting density of 30 plants m-2 at 50% flowering stage. Based on the results of this study, the best qualitative yields for Kochia could be obtained from a planting density of 30 plants m-2 after 50% flowering but one may recommend planting Kochia at 20 plants m-2 for a high grain or oil production.
R. Ziaee, M. Moghaddasi, S. Paimozd, M. H. Bagher,
Volume 22, Issue 4 (Winter 2019)
Abstract
Evaporation is one of the important components in water body’s management, leading to changes in the water level and water balance. Also, its accurate estimation is faced with certain difficulties and complexities. Because of the limitations of physical and empirical methods based on the meteorological data, remote sensing technology can be widely used for evaporation calculation due to its capabilities for spatial data estimation and minimization of the meteorological data application. Many models have been developed to estimate evapotranspiration using remote sensing technology. Regarding the use of these algorithms for estimating evaporation from water surface, a few studies have been done; however, there is yet no comparison between them to estimate evaporation from the water surface. For this purpose, in this study, the output from two models estimating spatially distributed evaporation of water surfaces from remotely sensed imagery is compared. In order to implement these models, Terra/MODIS Images for four months including June, July, August and September in of 2006, 2007, 2008 and 2009 were prepared. Comparisons were made using pan data from Urmia synoptic station. In general, there was a reasonable agreement between the evaporation outputs from both models versus a pan data observation. The statistical analysis also showed that the SEBS algorithm (by applying the salinity factor), despite being simple in its implementation, has higher accuracy than the SEBAL algorithm.
