b. torabi

IntroductionWheat (Triticum aestivum L.) has become very important as a valuable strategic product with high energy level. The importance of investigating environmental stresses and their role in predicting and evaluating the growth and crops yield is essential. A wide range of plant response to stress is extended to morphological, physiological and biochemical responses. Considering the rapid advancement in computer model development, plant growth models have emerged as a valuable tool to predict changes in production yield. These growth simulation models effectively incorporate the intricate influences of various factors, such as climate, soil characteristics, and management practices on crop yield. By doing so, they offer a cost-effective and time-efficient alternative to traditional field research methods. Material and MethodsThis research was conducted in the research farm of Varamin province, which has a silty loam soil texture. The latitude and longitude of the region are 35º 32ʹ N and 51º 64ʹ E, respectively. Its height above sea level is 21 meters. According to Demarten classification, Varamin has a temperate humid climate. The long-term mean temperature of Varamin is 11.18 ° C and the total long-term rainfall is 780 mm. In this study, in order to simulate irrigated wheat cv. Mehregan growth under drought stress, an experimental based on completely randomized blocks (CRBD) including: non-stress as control (NS), water stress at booting stage (WSB), water stress at flowering stage (WSF), water stress at milking stage (WSM) and water stress at doughing stage (WSD) with three replications during growth season 2019-2020 was carried out in Varamin, Iran. Crop growth simulation was done using SSM-wheat model. This model simulates growth and yield on a daily basis as a function of weather conditions, soil characteristics and crop management (cultivar, planting date, plant density, irrigation regime). Results and DiscussionBased on the results, the simulation of the phenological stages of irrigated wheat cv. Mehregan under water stress condition using SSM-wheat model showed that there was no difference between observed and simulated values. Summary, the values of day to termination of seed growth (TSG) were observed under non- stress, stress in the booting stage, flowering, milking and doughing of the grains, 222, 219, 219, 221, 221 days, respectively andsimulation values with 224, 221, 220, 221, respectively. However, with their simulation values, there were slight differences with 224, 221, 220, 221, respectively. Acceptable values of RMSE (11.7 g.m-2) and CV (3.5) indexes showed the high ability of the SSM model in simulating the grain yield of irrigated wheat cv. Mehregan under water stress conditions. Grain yield values were observed in non-stress conditions of 5783, water stress in booting, flowering, milking and doughing of the grain stages in 5423, 5160, 5006 and 5100 kg. h-1, respectively. While the simulated values were 5630, 5220, 4920, 4680 and 4880 kg. h-1, respectively. Based on the findings, observed and simulated values of leaf area index (LAI) were observed under water stress condition in the booting, flowering, milking and doughing of the grain stages (4.3 and 4.47), (4.33) and 4.46), (4.4 and 4.57) and (4.4 and 4.58) cm-2, respectively. Evaluation of the 1000-grain weight of irrigated wheat cv. Mehregan under the water stress showed that the SSM model was highly accurate. RMSE (4.6 g.m-2) and CV (1.8) values indicate the ability of the SSM model to simulate the 1000-grain weight of irrigated wheat cv. Mehregan. Also, the simulated values of the harvest index were 34.7 % in non-stress conditions, which decreased by 6 % compared to the observed value. Harvest index values were observed under water stress conditions in the in the booting, flowering, milking and doughing of the grain stages in 30.2, 29.3, 29.9 and 29.5 %, respectively. Compared to its observed values, it was reduced by 3, 3.5, 5, and 5.5 %, respectively. ConclusionBased on the findings, the slight difference between the observed and simulated values demonstrates the SSM model's capability to accurately capture water stress impacts on the phenological stages, grain yield, and yield components of irrigated wheat cv. Mehregan during critical growth stages, including booting, flowering, milking, and doughing. The results indicate that the SSM model is effective in simulating wheat growth under water stress conditions, showcasing its potential as a valuable tool for modeling irrigated wheat growth. The model's ability to account for water stress and its effects on various growth parameters makes it a reliable and efficient tool for predicting crop performance in water-limited environments.

Transplanting or pot culture has been mentioned as a promising approach to increase crop yield and decrease irrigation water use in recent years. Using simulation models to assess pot culture is a valuable way in investigating the effect on yield, water consumption and other properties of crops such as soybean. For this purpose, several pot culture levels (seedling sizes) plus direct sowing were evaluated in soybean using SSM-iCrop2 for four different sowing dates in Gorgan, Iran. Seedling sizes were 13, 18, 24 and 29 cm2 per plant leaf area and at 200, 250, 300 and 350 °C cumulative temperature, respectively. Sowing dates were June 10 (early), June 25 (usual), July 14 (late) and July 27 (very late). The results of simulation showed that direct seed planting method at late sowing date (14 July) and all treatments at very late sowing date (27 July) are not feasible and cannot be recommended due to disturbance that cause in sowing of next crop in double cropping system of the region. Transplanting method at early (10 June), usual (25 June) and late planting dates resulted in earlier maturity. There was no significant difference between two methods regarding seed yield at early and usual planting dates, but at late planting date transplanting method resulted in higher yield compared to direct seed planting method. Seedling size had no significant effect on yield. In addition, there was no significant difference among sowing methods in all planting dates in terms of net irrigation requirement of soybean. It was concluded that transplanting is only preferred at late sowing date for its higher yield, but considering the higher production costs of this method compared to direct sowing, it is necessary to find some cost-effective measures before pot culture could be adopted by farmers.

The risk of prescribing potentially inappropriate drugs for the elderly require serious attention. The aim of this study was to determine the status of administration of inappropriate and multidrug medications in the elderly admitted to Vasei Hospital in Sabzevar. This descriptive-analytical study was carried out on 186 elderly over 60 years old who admitted to the General and Educational Hospital of Sabzevar, 2017, which were selected through convenience sampling . Data were collected by using a questionnaire including demographic information and Beers Criteria . Data were analyzed using SPSS 21 and descriptive statistics, one way ANOVA and independent t-test. The mean age of the elderly was 71 ± 9 years. Approximately 66% of patients received more than 5 simultaneous medications and, on average, for each elderly, 6.2% of the drug was prescribed. The use of inappropriate drugs among the elderly was 31%, most of which were related to benzodiazepines and antipsychotics. In terms of prevalence of drug use, medications associated with gastrointestinal and psychiatric disorders were more frequent. There was no significant relationship between the simultaneous consumption of a large number of drugs with demographic characteristics including sex, type of ward and age (P <0.05). The main results of this study showed that in addition to raising the average amount of consumed medication for any elderly patient outside the standard range, drug treatments contain inappropriate drug prescriptions, which generally show a poor signal from the drug use situation in the elderly. Therefore, these problems require that research into preventive strategies and effective interventions be designed and implemented to reduce these problems.

This study was carried out to determine the requirements of cardinal temperatures and biological hours for germination of lentil by using different linear and nonlinear regression models. To do this, a split plot experiment based on randomized completely design with four replications was conducted in germinator. Experimental treatments were three lentil cultivars (Gacgsaran, Kimia and Bilehsovar) under seven fixed temperature regimes (5, 10, 15, 20, 25, 30 and 35°C). Beta, Dent-like and Segmented models were applied to evaluate the relationship between germination rate and temperature. Root mean square deviation (RMSD), coefficient of determination (R2), coefficients of variation (CV (and linear regression coefficients (a, b) were used to detect the perfect model. Results of fitting the models indicated that the response of lentil germination to temperature is best described by a segmented function. Cardinal temperatures estimated by this model were 0.89 to 1.23°C for base temperature, 23.41 to 26.94°C for optimum temperature and 35.15 to 45°C for ceiling temperature. Significant difference in base temperature among cultivars was not observed, but cultivars had significant difference in optimum and ceiling temperatures. Biological hour's requirement for germination ranged between 25.43 to 31.37 hours. The quantitative information provided by this research can be used in prediction of germination of lentil cultivars.