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Ali Soleymani   Dr.  Institute, Department or Faculty Head 
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Ali Soleymani published an article in December 2017.
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F. Mortazaeinezhad

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(2010 - 2017)
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3
 
Publications
Article 0 Reads 0 Citations Assessment of ET-HS Model for Estimating Crop Water Demand and Its Effects on Yield and Yield Components of Barley and W... A. Soleymani, M.H. Shahrajabian Published: 01 December 2017
Cercetari Agronomice in Moldova, doi: 10.1515/cerce-2017-0034
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In order to estimate the water requirement of barley and wheat by using of ET-HS model, a research was conducted at Research Farm of Islamic Azad University, Isfahan (Khorasgan) Branch, Iran. ET-HS model is used to determine irrigation water quantity and irrigation schedule for different crop. The study was based on randomized complete block design (RCBD) with three replications and six treatments. The irrigation treatments included irrigation to supply 50, 75, 100, 125 and 150% of crop water demand on the basis of ET-HS model during growing season and control treatment (conventional irrigation), which was irrigation on the basis of 70 mm evaporation from Class A evaporation pan during growing season. In barley experiment, the highest values for number of fertile tiller, maximum LAI, total dry matter in maximum LAI stage, number of grain per spike, a thousand seed weight (35.56 g), grain yield (7877.9 kg/ha), biological yield (17689.7 kg/ha) and harvest index (44.45%) was obtained for irrigation according to 100% of crop water demand on the basis of ET-HS model. In wheat experiment, the highest number of fertile spike, number of grain per spike, 1000 grain weight, grain yield, biological yield was obtained for irrigation treatment on the basis of 100% ET-HS model; moreover, the maximum harvest index was related to control treatment, followed by irrigation on the basis of 100% of ET-HS model. Conclusively, the appropriate irrigation treatment was 100% of crop water demand on the basis of ET-HS model during the growth season for both crops.
Article 0 Reads 0 Citations In vitrobacterial decontamination ofKelussia odoratissimaseed during dormancy breaking F. Mortazaeinezhad, A. R. Golparvar, O. Askari-Khorasgani, A... Published: 01 January 2014
Research on Crops, doi: 10.5958/j.2348-7542.15.1.034
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Kelussia odoratissima (Apiaceae) is an endangered medicinal plant indigenous to Iran. Seeds of this plant have a long-term dormancy. This study aimed at obtaining in vitro method to reduce microbial contamination, overcome seed dormancy and to disclose the type of classification system of seed dormancy. After using completely randomized design and Duncan's Multiple Range Test, the significance of between individual group's means was assessed. Results revealed that only one gram negative bacterium strain, Klebsiella sp., was isolated from the contaminated culture. Applying 500 mg/l copper sulphate for 6 min during seed sterilization, the contamination was eradicated. During cold stratification, to estimate the effect of exogenous application of cytikinin hormones, N6-furfurylaninopurine (Kin) and 6-benzylaminopurine (BAP) alone or in combination with each other, pre-soaking treatment with tioureae as a nitrogen compound and seed osmopriming with polyethylene glycole (PEG 6000), alone or in combination with BAP, the highest final seed germination (92.5%) was obtained on medium containing 1 mg/l BAP combined with 1 mg/l Kin. The lowest mean germination time (45.81 days) was also obtained on medium containing 0.25 mg/l BAP. Since using tiourea was simple and economical, with 80% final seed germination (using 0.2% thiourea) this can be an excellent way to promote seed germination of this plant. Considering the efficacy of treatments and growing of zygotic embryo without cold temperature exposure, seed dormancy mechanism identified as non-deep physiological dormancy and particularly chemical dormancy classification.
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Evaluation of Genetic Algorithms for tuning SVM parameters in multi-class problems F. Samadzadegan, A. Soleymani, R. Ali Abbaspour Published: 01 November 2010
2010 11th International Symposium on Computational Intelligence and Informatics (CINTI), doi: 10.1109/cinti.2010.5672224
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