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Showing 3 results for Mirlatifi


Volume 22, Issue 4 (6-2020)
Abstract

Aril Browning (AB) is a physiological disorder in pomegranate fruit that critically decreases fruit quality and market acceptability. This experiment was carried out in order to explore the effective pomegranate fruit quality traits associated with the AB disorder and select the suitable resistant cultivar and genotypes. Pomegranate physico-chemical fruit quality attributes were assessed on 238 mature pomegranate genotypes and their correlations with the AB disorder were monitored. About 14.7% of the studied genotypes showed resistance to the AB disorder, but 68.14% showed moderate to severely susceptibility to the incidence. The intensity of the AB disorder symptoms in pomegranate genotypes was strongly correlated with physico-chemical fruit attributes. There was a negative significant correlation between the intensity of AB disorder and fruit size, fruit volume, fruit acidity, and total soluble solids (TSS) to titratable acidity (TA) content.. Among the studied fruit traits, stepwise regression analysis showed that fruit acidity (pH), aril color, fruit volume, and TA content were efficient traits for screening of pomegranate genotypes in relation to the AB disorder.

Volume 22, Issue 6 (11-2020)
Abstract

Improving yield and Irrigation Water Use Efficiency (IWUE) is important for pistachio cultivation in Iran. Subsurface Drip Irrigation (SDI) is a novel irrigation system that is used by pistachio farmers. Oxygen deficiency could occur in the soil under crops irrigated by SDI, especially in heavy clay soils, due to creation of sustained wetting fronts around emitters. The focus of this work was to evaluate aerated water irrigation (oxygation) under SDI to overcome hypoxia in saline loam silt soil environments on 15 years old pistachio trees in desert climate. Two treatments including F3 (irrigation frequency once every 3 days without air injection) and F3-oxygation (irrigation frequency once every 3 days by air injection) were investigated in two years. The injection of 18% by volume air into irrigation water by SDI resulted in a beneficial effect on yield and IWUE in the second year of experiment; with yield values of 4.9 ton ha-1 for F3-oxygation against 4.4 ton ha-1 for F3; and IWUE values of 4.2 kg ha-1 mm-1 for F3-oxygation against 3.7 kg ha-1 mm-1 for F3. Decreases in yield and IWUE in the F3-oxygation in comparison with F3 were 33.3 and 28.2% in the first year, respectively; but yield and IWUE due to F3-oxygation were 11.1 and 13.5% greater in the second year compared to F3, respectively. At the end of the irrigation season, the nitrogen content of the nuts removal in F3, and F3-oxygation were 1.9 and 2.1% in the first year and 1.4 and 1.6% in the second year, respectively. The leaf K+ and nut Fe2+ concentrations in F3-oxygation were about 24 and 44% more than F3, respectively. Leaf area was larger in aeration treatment compared with the control. Overall, these results indicate positive effects of oxygated SDI system on pistachio trees and merit further investigation for improving yield and IWUE. 

Volume 26, Issue 2 (Summer 2022)
Abstract

Evapotranspiration is one of the most important parameters of the water cycle that its correct estimation is important in water resources management, especially in arid and semi-arid climates. With the development of remote sensing, methods were developed to produce evapotranspiration products using satellite data. In this study, the output of evapotranspiration products including GLEAM, GLDAS, and MOD16A2 was compared with the evapotranspiration of the FAO-Penman-Monteith method During wet, normal and dry years in the Zayandehrood basin. , RMSE, BIAS, and IOA statistical indices were used to evaluate the results. Also, Taylor simple skill fusion method was also used to combine the product. The results showed that two products MOD16A2 and GLDAS estimated the rate of reference evapotranspiration compared to the FAO-Penman-Monteith method during the wet, normal and dry years and the GLEAM product less. RMSE values for these products ranged from 37.4 to 47.6, from 136.2 to 141.4, and from 92.8 to 98.7 mm per month, respectively. The error rates of GLEAM and GLDAS were lower in the wet years than in the dry and normal years, while the MOD16A2 product had better performance in the dry years. Also, the results of the products combination showed that the product produced had a better performance than other products in the Basin and in different moisture conditions.


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