List of Articles cultivation pattern

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  1 - Economic and Social Consequences of Changing the Cultivation Pattern in Golestan Province from Land Reforms until Now
  Abdulmotalleb Mamashli Mohammad Reza Naeimi Rahmatollah Amirahmadi
  10.30495/ijss.2023.22363
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  2 - Economic and Social Consequences of Changing the Cultivation Pattern in Golestan Province from Land Reforms until Now
  Abdulmotalleb Mamashli Mohammad Reza Naeimi Rahmatollah Amirahmadi
  10.30495/IJSS.2023.73696.1395
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  3 - Determining the optimal cultivation pattern of agricultural products in Jiroft city with the approach of reducing pollution and water consumption
  Hamid Mohammadi Mohammadjavad Mehdizadeh rayeni Vahid Dehbashi Abolghasem Bagheri
  10.30495/jest.2023.62839.5481
  Background and Objective: Improving the production system in the agricultural sector requires defining and implementing a model for crop cultivation, based on the country's macro policies, market structure, farmers' knowledge and regional and climatic potentials to prot More

  Background and Objective: Improving the production system in the agricultural sector requires defining and implementing a model for crop cultivation, based on the country's macro policies, market structure, farmers' knowledge and regional and climatic potentials to protect the environment, reduce water consumption and achieve The economic benefits are sustainable. The purpose of this study is to apply the gray fuzzy planning model with an environmental approach and reduce water consumption in determining the optimal cultivation pattern in Jiroft. Material and Methodology: The present research is an applied research in terms of purpose, causal in terms of study method, and in terms of research method and nature and method of approach to inference. Gray planning is one of the methods of analyzing gray systems for decision making under uncertainty. Findings: The results showed that the area under potato cultivation between 5292 and 5328.7 hectares in the region can change. The area under onion cultivation can be changed between 1547 and 2349.9. The area under tomato cultivation between 530.6 and 985.4 hectares in the region can change. The area under watermelon cultivation can be changed between 129.5 and 240.5. The area under corn cultivation between 840 and 1560 hectares in the region can change. The area under alfalfa cultivation can be changed between 1204.7 and 22237.3. According to the mentioned restrictions and with the aim of maximum profit, the farmers of the region can cultivate 4910.1 hectares of wheat, 1644.5 hectares of barley and 2063.6 hectares of cucumbers. Discussion and Conclusion: Since the development of infrastructure services has a great impact on reducing resource constraints, paying attention to this issue regarding the optimal use of resources to increase the profitability of regional activities can be effective. Manuscript profile
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  4 - Using Probabilistic-Risky Programming Models in Identifying Optimized Pattern of Cultivation under Risk Conditions (Case Study: Shoshtar Region)
  Mohammad Kavoosi Kelashemi Mohammad Aghapour Sabbagi Hamid Reza Alipour
  Using Telser and Kataoka models of probabilistic-risky mathematical programming, the present research is to determine the optimized pattern of cultivating the agricultural products of Shoshtar region under risky conditions. In order to consider the risk in the mentioned More

  Using Telser and Kataoka models of probabilistic-risky mathematical programming, the present research is to determine the optimized pattern of cultivating the agricultural products of Shoshtar region under risky conditions. In order to consider the risk in the mentioned models, time period of agricultural years 1996-1997 till 2004-2005 was taken into account. Results from Telser and Kataoka models showed that due to accepting the risk amounts, most of the optimized amounts suggest the tomato cultivation during the cultivation period of fall, and watermelon cultivation during the cultivation period of spring. On the basis of results, due to allocation of agricultural lands of Shoshtar to tomato and watermelon cultivation and specializing the farming activity in this province, gross profit of agricultural production system can be increased to 6116047000 and 727782272 thousand Rials, respectively. The results of understudy models were investigated under different income scenarios and probabilistic levels of risk acceptance. Correct policy making in order to offer the suitable equipments for adjusting the effects of lack of certainty and risks due to the climatic unwanted conditions in production process of agricultural products of Shoshtar region improve the life situation of farmers of the mentioned region. Manuscript profile
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  5 - Determining Comparative Advantages of Corn in Optimal Cultivation Pattern
  Samaneh Abedi Gholam Reza Peykani Mohammad Kavoosi Kalashami
  The purpose of this study is to investigate comparative advantages of corn in comparison with other competitor crops. To do so, Linear Programming, to 2004-2005 data related to classic index (DRC) in Kermanshah province was applied. Results showed that corn has comparat More

  The purpose of this study is to investigate comparative advantages of corn in comparison with other competitor crops. To do so, Linear Programming, to 2004-2005 data related to classic index (DRC) in Kermanshah province was applied. Results showed that corn has comparative advantages in all regions of Kermanshah province while in optimal cultivation pattern of 37.5 percentages of regions in existence of rotation and 50 percentages of regions in lack of rotation, corn acreage has been increased. In addition, comparing optimal cultivation pattern resulted from linear programming models with crops ranking based on comparative advantage indices indicated that, resources availability and limitations, tradable and non-tradable inputs costs and yield will lead to shift in production’s comparative advantage from one crop to another. Factors such as supporting policies and rotation might also have effects on comparative advantages and optimal cultivating pattern. Manuscript profile
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  6 - Response of Single-Cross 704 Maize to Application of Chemical and Biological Nitrogen Fertilizers and Different Cultivation Patterns under Drought Stress
  shirin dast bandan nejad mojtaba alavifazel Mani Mojadam Shahram Lak Alireza shokoohfar
  Present study was carried out to study the effects of drought stress, combined application of chemical and biological nitrogen fertilizer, and planting pattern on maize (SC 704) in 2015 and 2018 in Dehloran city. The experiment was conducted as a split-split plots in a More

  Present study was carried out to study the effects of drought stress, combined application of chemical and biological nitrogen fertilizer, and planting pattern on maize (SC 704) in 2015 and 2018 in Dehloran city. The experiment was conducted as a split-split plots in a completely randomized block design with three replications. Treatments were three levels of drought stress in the main plots: optimum irrigation, irrigation cut in 12 leaf stage and irrigation cut at the cornflower emergence stage, three levels of nitrogen application in sub plots: application of 100% fertilizer requirements as urea chemical fertilizer, application of 70% urea fertilizer along with 30% Azoto-Barvar-1 biofertilizer, 40% urea fertilizer along with 60% Azoto-Barvar-1 biofertilizer and three planting patterns in sub-sub-plots: single-row, two-row and zigzag cultivation. The results showed that the combined application of biological and chemical nitrogen fertilizers under drought stress had a positive effect on leaf area index, stomatal conductance, chlorophyll, 1000-grain weight, grain yield and grain protein. So that the highest grain yield was obtained with 40% fertilizer required as urea with 60% Azoto-Barvar-1 biofertilizer (10870 kg). The interaction of treatments was significant on stomatal conductance, grain yield, grain yield at 1% probability level. The interaction of nitrogen fertilizer, drought and planting pattern was significant on seed filling rate, grain filling time and growth rate at 1% level. Generally, based on the results, optimum irrigation conditions, 40% fertilizer required as urea with 60% Azoto-Barvar-1 biofertilizer and zigzag cultivating pattern were selected as the best experimental treatment. Manuscript profile
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  7 - Effect of distances between row, density and cultivation pattern on 704 single crass forage corns with summery dilatory cultivation after harvest rice
  M. Ramezani H. Mobaseer M. Mohseni R. Rezaei Sokhtabbandani
  This research was done in order to consider the effects of distances between row, density and cultivation pattern of 704 single crass forage corn (K. Sc 704) which was accomplished with summery dilatory cultivation after harvesting of rice. It was done at Gharakhil rese More

  This research was done in order to consider the effects of distances between row, density and cultivation pattern of 704 single crass forage corn (K. Sc 704) which was accomplished with summery dilatory cultivation after harvesting of rice. It was done at Gharakhil research center of Ghaemshahr in 2008.The experiment design was selected as factorial based or RCBD with four replications. Treatments were selected as distances between rows (65, 75, 88 cm), two cultivation pattern (single linear row and two zigzag row) and two cultivation density level 70000 and 80000 bush in hectare. Results showed that distances between rows influenced only on wet forage yield, as wet forage yield in 65 cm distance between rows with 25.38% rate was gained more than 85 cm distance between rows. The yield of wet forage in two zigzag row cultivation patterns was %7 rates more than single row cultivation. Corn diameter and single bush dry weight in 70000 bush density in hectare was more than 80000 bushes in hectare. Stem diameter and wet forage yield in two rows cultivation were more than single linear row cultivation. Maximal of stem wet weight rate to all in 70000 bush density in hectare were gained in two zigzag row cultivation. The largest corn length was gained in 65 cm distance between row and two zigzag row cultivation. Maximal of wet forage yield was gained in 65 cm distance between rows with 80000 bush density in hectare. Manuscript profile