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Articles by A. Gholizadeh
Total Records ( 6 ) for A. Gholizadeh
  A. Gholizadeh , M.S.M. Amin , A.R. Anuar and W. Aimrun
  Problem statement: Laboratory plant testing is usually time-consuming and high-costing. Hence, plant nutrient variability must be measured rapidly and the information made known to the farmers before the new season starts. Site-specific crop management, well-established in some developed countries, is now being considered in other places such as Malaysia. Approach: The application of site-specific management principles and techniques to diverse crops and small-scale farming systems in Malaysia will present new challenges. Describing within-field variability in typical Malaysian production settings is a fundamental first step toward determining the size of management zones and the inter-relationships between limiting factors, for establishment of site-specific management strategies. Results: Measurements of rice SPAD readings and nitrogen content were obtained in a Malaysian rice paddy field. SPAD reading data was manually collected on 80DAT and measured using a Minolta SPAD 502. Leaf samples were collected at 60 points at the same time to compare results from sampling with SPAD reading values. Samples nitrogen content was analyzed in a laboratory. Analysis of variance, variogram and kriging were conducted to determine the variability of the measured parameters and also their relationship. SPAD reading and nitrogen content maps were created on the interpretation of the data was investigated. Conclusion/Recommendations: Finally the research indicated that SPAD readings are closely related to leaf N content which means the potential for technology of precision farming to understand and control variation in Malaysian production fields and also SPAD chlorophyll meter ability to monitor the N status of rice and recommend the amount of N fertilization. Additional research is needed to confirm the results with data from other fields and crops.
  A. Gholizadeh , M.S.M. Amin , A.R. Anuar , M. Esfahani and M.M. Saberioon
  Problem statement: In order to meet the ever increasing demand of medicinal plants, for the indigenous systems of medicine as well as for the pharmaceutical industry, some medicinal plants need to be cultivated commercially and moldavian balm (Dracocephalum moldavica) is one of them. Approach: To determine the effects of zeolite and water stress on aforementioned plant’s phisiomorphological characteristics, an experiment was conducted with applying four zeolite levels and three water discharge levels during plant growth. Some growth and development parameters were measured. Results: Summarized that, zeolite did not have any significant effect on plant height and number of internodes but had, on the other traits. There were not a significant effect of water discharge on plant height, number of flowers and number of internodes but its effect on the flowering time and essential oil content was significant. Moreover, there was not an interaction between zeolite and water stress on number of flowers and number of internodes but this interaction was significant on the other parameters. Conclusion: Finally, 2 g zeolite with 50% water losses was recommended to obtain higher essential oil. Additional researches are needed to confirm the results for data from other fields and crops.
  W. Aimrun , M.S.M. Amin and A. Gholizadeh
  Problem statement: Study on spatial variability of vertical saturated hydraulic conductivity or percolation loss was conducted within a plot of an area of 1.2 ha paddy plot to find out the relationship between percolation rate and rice productivity. A paddy soil condition that permits percolation rate of 10-20 mm irrigation water day-1 was recommended in order to get high yield of rice. This value is very high when compared to typical values from 1-4 mm day-1 for the Malaysian engineers practiced in paddy fields. Approach: This study presented results of a study that relate the distribution of percolation rates with respect to rice yield productivity. Soil samples at 36 sampling points were collected. DGPS was used to locate the sampling points and then rice yields of the same point were collected. The relationship was determined by statistical correlation factor. Kriging method was used to map the distribution of percolation and yield. Results: The results of the study showed that percolation loss was very low and varied even within a small area. Spatial variability maps show that the area of high percolation rates is the same area that produced high yield. Even though high yields can be obtained from the areas of high percolation rate, it may not be the optimum rate. Conclusion: Higher yield within the area of high percolation may be due to less toxic since it is easily be drained out.
  A. Gholizadeh , M.H. Faizi and B.B. Kohnehrouz
  In this research, the induction of maize DAAO gene was investigated under drought stress conditions. RT-PCR end product analysis of the mRNA samples purified from stressed and non-stressed leaves showed that DAAO gene is only expressed in stressed plants. The results indicated that DAAO transcript is consistently detected overtime as stress conditions continued, but it fell below the limit of detection when plants are completely dried/died. This result may be consistent with the earlier reports that points the accumulation of D-amino acids and expression of DAAO activity during mammalians aging or tissue developments in which PCD is involved. Cloning and sequencing of the expressed product revealed that the induced cDNA nucleotide and deduced amino acid sequences are 100% identical to DAAO gene that is expressed when maize plants utilize D-alanine as nitrogen source. This finding may provide new insights into the active role of D-amino acid oxidase gene and lead to the ways for the new studies on plant DAAO in the future.
  Sh. Jamaati-e-Somarin , A. Tobeh , M. Hassanzadeh , M. Saeidi , A. Gholizadeh and R. Zabihi-e-Mahmoodabad
  In order to investigate the plant density and nitrogen level on nitrogen use efficiency components (agronomical, physiological, apparent recovery and nitrogen use efficiency), the amount of nitrogen uptake by plant, yield and yield components of potato (Solanum tuberosum L.) Agria cultivars` tuber, a factorial experiment based on randomized complete block design was conducted in Ardabil, Iran, in 2006 with three replications. Factors were adjusted for the nitrogen level (0, 80, 160 and 200 kg ha-1 net nitrogen) and plant density (5.5, 7.5 and 11 plant m-2). Results showed that with increasing the nitrogen levels and plant densities agronomical nitrogen use efficiency, physiological nitrogen efficiency and nitrogen use efficiency were decreased and apparent recovery nitrogen efficiency was increased. The most nitrogen uptake in plant was observed at the 200 kg ha-1 net nitrogen. The most yield and number of tuber per unit area were gained at the 80 and 160 kg ha-1 net nitrogen. Increasing the plant density resulted in increasing in the tuber yield per unit area and the rate of nitrogen up to the 160 kg ha-1 net nitrogen. So, application of the 80 kg ha-1 net nitrogen and plant density of 11 plant m-2 is recommended to get highest yield with the most nitrogen use efficiency.
  Z. Zamani , M. Arjmand , M. Tafazzoli , A. Gholizadeh , F. Pourfallah , S. Sadeghi , R. Mirzazadeh , F. Mirkhani , S. Taheri , A. Iravani , P. Bayat and F. Vahabi
  Vaccines require a period of at least three months for clinical trials, hence a method that can identify elicitation of immune response a few days after the first dose is a necessity. Evolutionary variable selections are modeling approaches for proper manipulation of available data which were used to set up an animal model for classification of time dependent 1HNMR metabolomic profiles and pattern recognition of fluctuations of metabolites in two groups of male rabbits. One group of rabbits was immunized with human red blood cells and the other used as control. Blood was obtained every 48 h from each rabbit for a period of six weeks and the serum monitored for antibodies and metabolites by 1HNMR spectra. Evaluation of data was carried out using orthogonal signal correction followed by principal component analysis and partial least square. A neural network was also set up to predict immunization profiles. A distinct separation in patterns of significant metabolites was obtained between the two groups, just a few days after the first and the second dose. These metabolites were used as targets of neural networks where each sample was used as test, validation and training and their quantitative influence predicted by regression. This model could be used for prediction of immunization in rabbits a few days after the first dose with 96% accuracy. Similar animals and human vaccine trials would assist greatly in reaching early conclusions in advance of the usual two month immunization schedule; resulting in an appreciable saving of cost and time.
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