جستجوی مقالات مرتبط با کلیدواژه "sarab" در نشریات گروه "کشاورزی"

Changing the cropping pattern due to the climate change and drought persistence is one of the key approaches for agricultural policy makers for adaptation of water scarcity. Also, implementation of changing the cropping pattern in Sarab County is felt as one of the major points of agricultural production in East Azerbaijan province. Since the uncertainty is one of the unavoidable aspects in agricultural planning and decision making, this study introduces and applies the robust goal programming (RGP) model as a tool for optimization of cropping pattern under uncertainty. The required data and information for this study were collected through Sarab County Agriculture Organization and completing the questionnaire in the period of 2017-2018. In addition to the RGP approach, the LP and GP models were solved to determine the optimal cropping pattern. The results showed RGP model in terms of achieving the goals of maximize profit and minimize water consumption was superior to other models, which indicated that the current status of the water operation in the studied area was not optimal. Implementation of optimal cropping pattern based on RGP model would increase profited and employment by 1.7 and 1.32 percent, respectively and it also could reduce water consumption, fertilizer and chemical pesticides consumptions by 7.7, 12.3 and 12 percent, respectively relative to the current cropping pattern. Among the studied crops, wheat had the highest increase regarding cultivated area. Therefore, wheat is an important crop in the region and it should be cultivated as a strategic crop in greater volume.

The aim of this study is to assess the effect of climatic parameters on diameter growth of Persian oak trees in Sarab-Karzan forests of Ilam. Climatic data of a 29-year period (1987-2014) was obtained from synoptic weather station of Ilam to extract some mean monthly parameters. For investigation of tree diameter growth, 15 individuals with diameter 20 to 25 cm were chosen and core samples were taken from north side of trees using increment borer. They were polishd with corse and soft sandpapers and dimater growth was measured using microscope model 1001. Pearson correlation was used to investigate the correlation between diameter growth and climate parameters. Independent sample t-test was conducted to evaluate the significance of the correlations. The results showed that mean diameter growth of trees was 2.44 mm over the 29-year period. The highest correlation was observed between diameter growth and relative humidity in July (Pearson coefficient of 0.501) and September (0.558) (P≤ 0.01). In general, higher correlations were observed between diameter growth with rainfall in May (0.273) and temperature in July (0.354).