Showing 2 results for Rastgar
A. Yamchi, F. Rastgar Jazii, C. Ghobadi, A. Mousavi, A. A. Karkhanehee,
Volume 8, Issue 4 (winter 2005)
Abstract
Proline as a key osmoregulating solute in plants plays an overriding role in osmotic pressure adjustment of the cell under water stress conditions. In plant, a bifunctional enzyme delta-1-pyrroline-5-carboxylate synthetase (p5cs) promotes and directs proline synthesis during drought stress conditions. The activity of this enzyme is strongly induced to increase proline concentration within the cell to prevent the impact of water deficit. In this study, the sequence coded for p5cs enzyme under the control of the cauliflower mosaic virus 35S promoter was cloned into a plasmid containing gus and nptII genes. The construct pBI121-p5cs was then transferred into Agrobacterium tumefaciens C58 (pGV3101) and used for producing transgenic tobacco(Nicotiana tabacum cv. Xanthi) plants. The amplification of a 765 bp band within p5cs gene from transferred plants and forming deep blue color in leaf tissues of the explants indicated the successful introduction of p5cs construct into nuclear genome of tobacco plants through Agrobacterium-mediated transformation. The two-month old plants growing under normal condition besides the five-day seedlings under drought stress were subjected to determination of proline concentration. Comparison of P5cs product levels between control and water tolerated plants indicated an increase of proline of about 96.91 to 1330.891 mg/g and of 204.454 to 2039.77 mg/g in plants under normal irrigation and under drought stress, conditions respectively. The significant difference between the levels of proline product in control and transgenic plants under different growing conditions demonstrated the expression of targeted gene (p5cs) in engineered tobacco plants that may pave the way to overcome the water stress problem in agronomically useful crops.
M Sabuhi, F Rastgar,
Volume 13, Issue 48 (7-2009)
Abstract
In the present study, grey fuzzy programming model was used for determination of cropping pattern in central part of Quchan city. The needed data was collected from Almachigh Research Center for the year 2008. Result showed that, current cultivated area of irrigated wheat, irrigated barley and alfalfa is more than and rain-fed barley is less than the represented interval upper and lower limits, respectively. Rain-fed wheat and sugar beet was within the represented intervals. Furthermore, the grey degree of solution set from grey programming was decreased about 48 percent by applying grey fuzzy programming approach. According to the findings, it is recommended that cultivated area is decreased for irrigated wheat, irrigated barley and alfalfa and increased for the rain-fed barley.
