1. Determining yield gap and potential for improved production of irrigated canola in Iran

samaneh rahban; Benjamin Torabi; afshin soltani; Ebrahim Zeinali

Articles in Press, Accepted Manuscript, Available Online from 21 November 2021


  The present study was conducted to estimate the yield gap of irrigated canola in Iran as the first step for planning sustainable improvement of production. This experiment was performed in the modeling laboratory of Gorgan University of Agricultural Sciences and Natural Resources in 2017-2019. The protocol ...  Read More

2. The Effect of Climate Change on Yield Potential and Water Productivity of Forage Maize in Iran

Hosna Fayazi; Ebrahim Zeinali; Afshin Soltani; Benyamin Torabi

Articles in Press, Accepted Manuscript, Available Online from 22 April 2022


  Global climate change is among the most important agricultural and food security challenges. Study was conducted to investigate the effect of climate change on potential yield and water productivity of forage maize in Iran. Two scenarios of RCP4.5 and RCP8.5 was used to predict the future climate (2050s) ...  Read More

3. The Impact of Climate Change on Iran's Food Security: Predicting the Potential Yield and Production of Strategic Crops based on SSM-iCrop2 model

Alireza Nehbandani; Mojtaba Saadati; Mahdi Goodarzi; Afshin Soltani

Volume 23, Issue 4 , December 2021, , Pages 882-871


  Food security reduction due to climate change is one of the most important challenges in the 21st century. This study was carried out to predict the potential yield and production of the country’s strategic crops examining various climate change scenarios. In this study, the potential yield & ...  Read More

4. The amount and How to distribute of chickpea and lentil yield gap in Iran

raheleh arabameri; afshin soltani; Ebrahim Zeinali; benyanen torabi

Volume 23, Issue 2 , June 2021, , Pages 221-234


  Yield gap analysis is a quantitative estimate of possible increase of the capacity to provide food for a specified area. It is an important component for designing strategies to supply food on a scale of regional, national, and global level. In this regard a study has been conducted to determine the ...  Read More

5. Modeling the effect of transplanting on yield and water use of cotton under Gorgan condition

Fatemeh salmani; afshin soltani; Ebrahim Zeinali; Hossein Shahkoomahali

Volume 23, Issue 1 , March 2021, , Pages 15-26


  In order to simulate transplantation, the parameters related to cotton seedling growth are firstly measured in a factorial experiment in a randomized complete block design at Gorgan University of agricultural sciences and natural resources within 2018. The parameters are then utilized in SSM-iCrop2 Model. ...  Read More

6. Parameterization and Evaluation of SSM_iCrop Model for Prediction of Growth and Development of Faba Bean in Climatic Conditions of Gorgan

Benjamin Torabi; Najebullah Ebrahimi; Afshin Soltani; Ebrahim Zeinali

Volume 22, Issue 4 , December 2020, , Pages 531-542


  The present study was conducted to parameterize the SSM_iCrop model and evaluate the prediction of growth and development of faba bean in Gorgan climate condition. This study was carried out on faba bean cv."Barkat" as split-plot in randomized complete block design with four replications at Gorgan University ...  Read More

7. Effect of row spacing and nutrient consumption on some morphological, physiological and agronomic responses of three cotton cultivars

Reyhane Rabbani; Farshid Ghaderi-Far; Ebrahim Zeinali; afshin soltani

Volume 22, Issue 3 , September 2020, , Pages 345-359


  In order to investigate the effect of row spacing on yield and growth of cotton cultivars uncer two conditions of fertilizer application and non-fertilization, a study was conducted in Gorgan as a split-factorial experiment based on randomized complete blocks design with three replicates in 2017. Experimental ...  Read More

8. Zoning Golestan Province in terms of the ability and the wheat production gap using a simulation model (SSM)

Hamid Ahmadi Alipour; afshin soltani; hossein kazemi; Alireza Nehbandani

Volume 20, Issue 1 , June 2018, , Pages 129-144


  Wheat (Triticum aestivum L.) as one of the most important agronomic crops has a special status in Iran. Reducing the yield gap is one of the ways to raise the production. In order to, the production rate and the wheat yield gap in Golestan province were analyzed by using a simple simulation model SSM– ...  Read More

9. Prediction of dry matter production and leaf area index in faba bean under different planting dates and densities

Najebullah Ebrahimi; Benjamin Torabi; Afshin Soltani; Ebrahim Zenali

Volume 20, Issue 1 , June 2018, , Pages 283-298


  To analyze the growth, it is necessary to access to accurate and well-arranged data obtained from measuring leaf area and dry matter accumulation. The purpose of this study was to evaluate different nonlinear regression models to study the trend of changes in leaf area index and dry matter production ...  Read More

10. Determination of the optimum managements ranges in order to increasing wheat yield in Golestan province

Amir Hajjarpoor; Habibolah Kashiri

Volume 19, Issue 3 , February 2018, , Pages 577-590


  In this study, collecting of management information from about 700 wheat farms in Golestan province was conducted during two growing seasons of 2013-2014 and 2014-2015. In each of region, potential yields, the optimum crop management and simultaneously the percentage of wheat farms out of the optimal ...  Read More