Showing 2 results for H. Zare
M. Rahemi, H. Zare,
Volume 6, Issue 2 (summer 2002)
Abstract
Experiments were conducted to evaluate the effects of heat and cold treatments on the disinfestation of dry figs from Estahban. Tow types of packing bags (with or without holes), two storage conditions including one at 23oC and one cold storage condition (10oC and 2oC), 9 heat and cold treatment durations (3, 4, 5, 6, 7, 10, 15, 20 and 25 hrs) and 13 temperature treatments [23, 45, 55, 60, 65, 70, 75, 45+(-25), 50+(-25) and 60+(-25) oC] were used in these experiments. The results showed that Indian meal moth, Plodia interpunctella, which is a major pest in dry fig storage, can be satistfactorily controlled by packing figs in plastic bags with a thickness of 0.24 mm after suitable temperature treatment. Cold storage at 2oC significantly controlled all developmental stages of moths at storage. Temperature treatments at 60oC for 7hrs or more, at 65oC for 6hrs or more, and at -25oC for 15hrs or more were found to be capable of controling pest most satisfactorily without changing fruit external quality.
H. Zare Abyaneh, H.noori, A.m.liaghat, V.karimi, H.noori,
Volume 15, Issue 57 (fall 2011)
Abstract
Fertilizers in agriculture are potential sources of environmental pollution, especially in ground water quality and soil resources. Studying factors effective in water and nutrient transport through soil profile is helpful for nutrient management to minimize adverse impacts on environment and nitrate leaching below the root zone. In this study, the ground water level and nitrate leaching transportation below the root zone were measured in a paddy rice field and the data were simulated with the DRAINMOD-N model. For evaluating DRAINMOD-N software in a paddy rice field under surface drainage in Mazandaran, the ground water level and nitrate transportation were measured during four months (June, July, August and September) in 2008. The DRAINMOD-N model was calibrated by adjusting nitrification and denitrification rate constants to reach the best fit between measured and predicted data. Results indicate that predicted ground water level and nitrate concentration by model were significant at one percent level. The statistical comparison was done by model efficiency (EF) 0.84 for estimation of ground water level and 0.97 for estimation of nitrate concentration, respectively. The DRAINMOD-N model can be used as a tool to manage environmental pollution of nitrate in paddy rice fields.
