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      • Open Access Article

        1 - Estimating leaf area by using vegetative characteristics in in bread and durum wheat cultivars
        jafar pourreza Afshin Soltani احمد نادری
        In order to investigate relationships between leaf area (LA) cm2plant-1 with leaf dry weight ( LDW) g plant-1, total dry weight of vegetative organs (leaf + stem)(TDWV) g plant-1, total plant leaf number (TPLN) and plant height (PH) cm plant-1; two field experiments wer More
        In order to investigate relationships between leaf area (LA) cm2plant-1 with leaf dry weight ( LDW) g plant-1, total dry weight of vegetative organs (leaf + stem)(TDWV) g plant-1, total plant leaf number (TPLN) and plant height (PH) cm plant-1; two field experiments were conducted at research farm of Islamic Azad University, Ramhormoz Branch in 2006-2008 cropping seasons with 13 bread wheat cultivars(Atrak, Bayat, Chamran, Chenab, Dez, Ineia, Kavir, Marvdasht, Shiraz and S78-18) and two durum wheat (Yavaroos and shova-Mald) cultivars. The experimental design was randomized complete block with four replications. Various equations including linear and none-linear equations were used to describe relationships between leaf area and mentioned characteristics. The best results were obtained with linear form of power equation {ln(Y)=ln(a)+bln(x)}. Results showed that there was no significant difference between cultivars and in respect to coefficients of allometric relationships. So one equation was used for all cultivars in both years. Equation Y=219.2X0.96(R2=0.99) showed very good description of the estimation of leaf area (Y) Using LDW (X), Also according to equation Y=84.77X0.6 (R2=0.92) , leaf area using data of TDWV (X) was well estimated. although relationship between LA and PTLN was suitable but LA was estimated with less precision compared to LDW and TDWV (Y=1.34X1.57, R2=0.89). Estimation of leaf area Using data of PH was not well estimated. It was concluded that the equations could be used for estimation of leaf area especially when the leaf area meter device is not available or can be used in simulation models of wheat. Manuscript profile
      • Open Access Article

        2 - Investigation of harvest index linear increase and related parameters in filling grain period of chickpea (Cicer arietinum)
        jafar pourreza Afshin Soltani Abdolah Bahrani
        Quantitative information regarding biomass partitioning in chickpea (Cicer arietinum L.) is limited or inconclusive. The objective of this study was to predict biomass partitioning to seed based on harvest index in chickpea crops grown under well-watered conditions. A f More
        Quantitative information regarding biomass partitioning in chickpea (Cicer arietinum L.) is limited or inconclusive. The objective of this study was to predict biomass partitioning to seed based on harvest index in chickpea crops grown under well-watered conditions. A field experiments, with 3 sowing dates and 4 plant densities, was conducted in Gorgan during 2004-2005. Crop biomass and phenological stages were measured between emergence and maturity. Density increase and delay in sowing date led to each phonological stages period decrease. Harvest index increased in seed filling period linearly. The effect of density on harvest index linear increase was not significant but there was different between sowing date. The time of beginning harvest index linear increase, decreased from 26 to 8 days from first sowing date to third one, but there was any difference in plant density. therefore From obtained coefficient in this research we can use in chickpea growth simulation models. Manuscript profile
      • Open Access Article

        3 - Assessing the relationship between leaf area and some vegetative characteristics in safflower
        Benjamin ترابی ناصر دستفالی اصغر رحیمی افشین سلطانی
        To find a quick and reliable method to estimate leaf area in safflower cv 'Local Esfahan', a factorial experiment based on completely randomized block design was conducted with four replicates and two factors included sowing date (5 and 25 April and 18 May) and plant de More
        To find a quick and reliable method to estimate leaf area in safflower cv 'Local Esfahan', a factorial experiment based on completely randomized block design was conducted with four replicates and two factors included sowing date (5 and 25 April and 18 May) and plant density (15, 40, 65 and 90 pl/m-2). In the present study, leaf area was estimated through leaf number on main stem, node number on main stem, leaf dry weight and stem dry weight by the different regression models. Based on RMSE (root mean squares of error) and R2 (determinant coefficient) estimated for studied models, leaf dry weight was the best independent variable to estimate the leaf area. The relationship between leaf area and leaf dry weight described by a linear model. The values of RMSE varied between 24.39 and 61.35 for different densities and the values of R2 was higher than 0.96. This indicates that model could predict leaf area by leaf dry weight. It was found no significant difference between the slopes of linear model fitted on leaf area data against leaf dry weight. Therefore, a general model was fitted on these data using all densities and the values of the a and b coefficients were estimated as 9.7 and 108.7, respectively. Manuscript profile
      • Open Access Article

        4 - Evaluation of non-Linear regression models to predict jointing rate of wheat cultivars in response to temperature and Photoperiod
        محمد حسن پناهی افشین سلطانی ابراهیم زینلی مهدی کلاته عربی علیرضا نه بندانی
        Accurate prediction of phenological development is important in the wheat)Triticum aestivum(. An important parameters on phenology can be suggest temperature and photoperiod. This study was conducted with 12 sowing dates to quantify response of jointing rate (JOR) to te More
        Accurate prediction of phenological development is important in the wheat)Triticum aestivum(. An important parameters on phenology can be suggest temperature and photoperiod. This study was conducted with 12 sowing dates to quantify response of jointing rate (JOR) to temperature and photoperiod in wheat cultivars. The regression models fitted to JOR against temperature were beta, dent-like and segmented function. Meanwhile, quadratic, negative exponential and segmented models fitted to JOR against photoperiod (these models were used as 9 combined models to describe JOR as a function of photothermal day). The results showed that beta- quaradic function was the best model to describe JOR as a function of both temperature and photoperiod. Using this function, the base, optimum and ceiling temperatures were estimated 4.5, 27.3 and 40 ₒC respectively. Critical photoperiod and photoperiod sensitivity coefficient were estimated 20.02 to 22.69 hour and 0.0109 to 0.0475 respectively. Also biological day for cultivars between emergence to jointing with the beta- quaratic function examin between 25.2 to 31.9 days.The results of this study can be used in crop simulation models. Manuscript profile
      • Open Access Article

        5 - Study of Nitrogen Nutrition Index, Seedling Index, Concentration Nitrogen and Wheat Yield in Different Nutritional Regimens
        Akram Moeinirad Ebrahim Zeynali Afshin Soltani Serolah Galeshi
        Nitrogen and phosphorus are much in demand in plant and is known as elements limiting growth and yield in crops. In order to study yield, nitrogen nutrition index (NNI), Chlorophyll index and nitrogen concentration under different regimes nutrition in wheat, a factorial More
        Nitrogen and phosphorus are much in demand in plant and is known as elements limiting growth and yield in crops. In order to study yield, nitrogen nutrition index (NNI), Chlorophyll index and nitrogen concentration under different regimes nutrition in wheat, a factorial experiment based on a randomized complete blocks design with four replications was done on the research field of Golestan province during growing seasons 2014-2015 and 2015-2016. The experimental factors were there net nitrogen fertilizer rates of 0, 75 and 150 kg N ha-1 and five net phosphorus fertilizer rates of 0, 20, 40, 60 and 80 kg P ha-1 .According to the results, traits under study in each three stage follow from simple linear regression model, as in each level nitrogen from different levels phosphorus, with increase rate of consumed phosphorus, traits under study were prospered from increasing trend and the maximum traits were recorded with 80 kg P ha-1 that yield was not showed significantly difference analysis with consumption of 60 kg P ha-1. Also The results this experiment showed that very strong relation is between nitrogen nutrition index(NNI), chlorophyll index and nitrogen available to plant, In view of the fact that measurement concentration nitrogen is very costly, take up time and need to expensive equipment, so measurement chlorophyll index by hand chlorophyll meter and transportable is very comfortable. in addition on nitrogen, phosphorus must be considered, also in order to reach to maximum yield consumption of 60 kg P net ha-1 is recommended. Manuscript profile