Showing 158 results for Mir
S.a.m Modares Sanavi, B Amiri Larijani, Sh Khalesro,
Volume 13, Issue 47 (4-2009)
Abstract
In order to study the morphological characteristics and yield of leafy corn hybrids, and comparie them with those of commercial hybrids, an experiment was conducted in the research field of Agricultural College, Tarbiat Modares University in 2005. A complete block design was used with three replications. Hybrids were obtained from crosses between leafy inbred lines and also commercial inbred lines with leafy inbred. There was a significant difference in single crosses on above and below leaf number and area, biomass, leaf length, plant height and distance between ear and tassel, internodes length, ear height (p<0.01). The most and least above ear leaf number were for b7*a4 and commercial hybrids, respectively. Most of the leafy hybrids had more above and below leaf number than commercial hybrids. Some of leafy hybrids produced the same yield as commercial hybrids and the others produced more. Considerable yield increment in the leafy corn can be attributed to the fact that the leafy gene produce twice leaf area in corn. Internodes length reduced in leafy hybrids due to increasing leaf number without plant height increment. The maximum and minimum grain yield were for b2*a4 leafy hybrid (10.22 t/ha) and SC108 non-leafy commercial corn (6.37 t/ha) respectively. Generally, b7*a4 and b2*a4 leafy hybrids produced the most biomass and leafy hybrid b2*a4 had the most grain yield.
N Shahmirzaee, S Kamgar,
Volume 13, Issue 47 (4-2009)
Abstract
One of the most important goals of precision farming is preparing yield map. Recently in Iran, planting of corn has received special attention. Therefore, among the different methods of yield measurement such as using impact sensor at the outlet port of forage harvester (chopper), displacement sensors at feed rollers of forage harvester, continuous measurement of discharged material to trailing wagon and using the torque meter, the present study made use of the torque meter method. This method consisted of a torque transmitting shaft equipped with laser-based encoders to monitor twist in a real time mode. The unit output could be exported to a computer via a microcontroller installed into the interface device. For calibration of the torque meter output with material feed rate in lab conditions, a conveyor was used to feed homogenous amount of material at a specific rate to the chopper. The experiment was conducted at 3 feed rates of silage corn and at 3 feed roll speeds of the chopper with 3 replications. Correlation between the feed rate and recorded power at different gears of the chopper was established. Relationships between feed rate and recorded power of the chopper at gears 1, 2 and 3 were linear with calculated R2 of 0.95, 0,98 and 0.98, respectively.
H Fazaeli, M Nosrat Abadi, K Karkodi, A Mirhadi,
Volume 13, Issue 48 (7-2009)
Abstract
This research was conducted to study the nutritive value of Jerusalem artichoke (JA) as animal feed. The aerial part of the JA plant was harvested, at full bloom stage, and then chopped and dried. The chopped JA hay included 0.0, 10, 20, 30 and 40 % of alfalfa hay, used as experimental diets, and tested for in vitro digestibility. In a changeover experiment with Latin square based design the in vivo digestibility was studied by sheep. The samples of dried JA forage as well as the experimental diets were collected and analyzed chemically. The nutrient contents of JA were relatively similar to alfalfa hay except for the crude protein that was lower in JA. The in vitro dry mater and organic mater digestibility were not affected by the levels of JA in the diets, but the digestible value reduced (p<0.05) when the JA ratio was increased to the 40% of the diet. The in vivo digestibility of dry mater, organic mater and fiber fractions was decreased in the diet containing 40 percent JA however, total digestible nutrients and metabolisable energy were not significantly different among the treatments. It may be concluded that nutritive value of JA is similar to alfalfa hay, when it is used up to 30% instead of the alfalfa hay based diet
R Amiri Chaijan, M Khosh Taghaza, Gh Montazer, S Minaee, M Alizadeh,
Volume 13, Issue 48 (7-2009)
Abstract
The objective of this research was to predict head rice yield (HRY) in fluidized bed dryer using artificial neural network approaches. Several parameters considered here as input variables for artificial neural network affect operation of fluidized bed dryers. These variables include: air relative humidity, air temperature, inlet air velocity, bed depth, initial moisture content, final moisture content and inlet air temperature. In aggregate, 274 drying experiments were conducted for creating training and testing patterns by a laboratory dryer. Samples were collected from dryer, and then dehulling and polishing operations were done using laboratory apparatus. HRY was measured at several different depths , average of which was considered as HRY for each experiment. Three networks and two training algorithms were used for training presented patterns. Results showed that the cascade forward back propagation algorithm with topology of 7- 13-7-1 and Levenberg-Marquardt training algorithm and activation function of Sigmoid Tangent predicted HRY with determination coefficient of 95.48% and mean absolute error 0.019 in different conditions of fluidized bed paddy drying method. Results showed that the input air temperature and final moisture content has the most significant effect on HRY.
H Amirnejad, H Rafiee,
Volume 13, Issue 48 (7-2009)
Abstract
Land and its size are important as the most basic factors of production in agriculture .Fragmentation is one of the main problems that rice producers of Mazandaran province are confronted with. Non-efficiency in farm management, inability in effective using of agriculture technology and machinery, and low range productivity of production are all related to land fragmentation. In order to overcome the problems and consequences originating from land fragmentation, specialists recommend the logical solution of land consolidation process, which is a basic strategy for changing the farm size. The purpose of this research was to identify and determine effective factors in land consolidation adoption by rice producers in Mazandaran province by using Logit Regression model. In this study, 150 rice producers from 5 villages have been investigated since 2007. Results show that variables of education, land quality, fragment distance and extension effort (learning programs) are the most important factors in land consolidation adoption by rice producers in this province (Sig=1%) . Also, number of the household and credit support are the next factors affecting in land consolidation adoption (Sig= 5%). I t must be noted that other variable such as age, farmer’s income, children education, experience of rice producers, cultivation area, membership in cooperatives, land situation, number of pieces and technical supports were not significantly involved.
M Alimohamady, A Rezaee, A.m Mirmohamady Meybodi,
Volume 13, Issue 48 (7-2009)
Abstract
This study was conducted in Research Farm of Isfahan University of Technology to evaluate some of the agronomic and physiological traits and grain yield potentials of ten bread wheat cultivars using a split plot design with three replications. Main and sub plot consisted of optimum and stress moisture treatments (irrigation after 70±3 and 130±3 mm evaporation from class A pan) and wheat cultivars, respectively. The results of analysis of variance revealed significant effect of moisture treatments on all traits except 1000-grain weight, harvest index, specific leaf weight, assimilate redistribution and difference of peduncle weights at heading. Significant differences were found among genotypes in the stress condition except for chlorophyll b and chlorophyll a to b ratio. Significant differences were detected among genotypes in optimum moisture condition for all characters, except for chlorophyll b, chlorophyll a to b ratio, harvest index and assimilate redistribution. Grain yields in two moisture conditions had significant positive phenotypic and genetic correlations with harvest index, number of grain/spike, RWC, chlorophyll a and sum of chlorophylls a and b and had significant negative correlation with RWL. Significant positive correlation was observed between peduncle weight at heading stage and difference of peduncle weights at stages heading and maturity with grain yield and RWC in moisture stress condition. The results of path analysis for phenotypic correlation coefficients between grain yield and their corresponding traits in the regression model showed that in stress condition harvest index had the highest direct and positive effect on grain yield and in non stress condition chlorophyll a had the highest direct and positive effect on grain yield. Results of stepwise regression analysis in non stress condition revealed that chlorophyll a, plant height and harvest index explained more than 90% of grain yield variability. Based on stepwise regression analysis in non stress condition, RWL, harvest index and RWC explained 95% of grain yield variability.
H Tabari, S Marofi, H Zare Abiane, R Amiri Chayjan, M Sharifi, A.m Akhondali,
Volume 13, Issue 50 (winter 2010)
Abstract
In mountainous basins, snow water equivalent is usually used to evaluate water resources related to snow. In this research, based on the observed data, the snow depth and its water equivalent was studied through application of non-linear regression, artificial neural network as well as optimization of network's parameters with genetic algorithm. To this end, the estimated values by artificial neural network, neural network-genetic algorithm combined method and regression method were compared with the observed data. The field measurement were carried out in the Samsami basin in February 2006. Correlation coefficient (r) mean square error (MSE) and mean absolute error (MAE) were used to evaluate efficiency of the various models of artificial neural networks and nonlinear regression models. The results showed that artificial neural network and genetic algorithm combined methods were suitable to estimate snow water equivalent. In general, among the methods used, neural network-genetic algorithm combined method presented the best result (r= 0.84, MSE= 0.041 and MAE= 0.051). Of the parameters considered, elevation from sea level is the most important and effective to estimate snow water equivalent.
A. Sanaei Ostovar , A.h. Khoshgoftarmanesh , M.h. Mirzapour ,
Volume 14, Issue 54 (winter 2011)
Abstract
This study was conducted to investigate nutritional status and some quality aspects of greenhouse cucumber in Qom province. After selecting 20 greenhouses, concentrations of macro- and micronutrients as well as lead (Pb) and cadmium (Cd) in soil and plant were measured. In addition, some fruit quality attributes were determined. Phosphorus (P) and potassium (K) concentrations in soils were much higher than their critical levels. The mean concentrations of soil DTPA-extractable iron (Fe), copper (Cu), and manganese (Mn) were 12.0, 1.98, and 14.5, respectively. The mean concentration of calcium (Ca) in cucumber leaf was high while in fruit was lower compared to its sufficiency level. Most fruit samples were deficient in K, Fe, Zn, Cu, and Mn. The mean nitrate (336 mg kg-1) and Pb (0.34 mg kg-1) concentrations in cucumber fruits were higher than their acceptable levels. Ascorbic acid concentration of fruits showed positive correlation with Fe concentration. Also, fruit Mg concentration had a positive correlation with the total dissolved solids and negative correlation with fruit moisture content. The results indicated that improper nutrition management in Qom cucumber greenhouses has caused micronutrients deficiencies and high nitrate and Pb concentration, which are important to consumers' health.
L. Khodakarami, A. Soffianian, N. Mirghafari, M. Afyuni, A. Golshahi,
Volume 15, Issue 58 (winter 2012)
Abstract
Among the environmental pollutants, heavy metals according to their irresolvable and physiological effects on living organisms at low concentrations, are of special importance These elements due to low mobility are gradually accumulated in soil Being accumulated in soil, they eventually enter the food chains and threaten human health and other creatures Therefore, studying concentration distribution of heavy metals for soil pollution monitoring and maintaining environmental quality is essential In this study we investigated the effect of agricultural land use and geology on the concentration of heavy metals contamination of soil and spatial distribution map, using collected data, GIS and GeostatisticsUsing systematic stratified random sampling, 135 surface soil samples( 0-20 cm) from an area of 7262 sq km area and we measured total concentration of elements Nickel, Chromium and Cobalt and soil characteristics including pH, organic matter and texture. The mean value of elements concentrations turned out to be Cr: 88.9+22.7 Co: 17.6+3.5 Ni 63.1+17.7 mg per kg and the mean acidity is 7.8 which in the area is an indication …… property. Formetal concentrations interpolation procedures, Geostatistics was used. By the aid of spatial correlation analysis, appropriate interpolation method using functions mean absolute error and bias average error were selected. Interpolation map concentrations of heavy metals Chromium, Cobalt and Nickel with ordinary kriging method and the exponential model were developed Interpolation map analysis of heavy metals by the aid of geological and land use maps show that the distribution of the elements Chromium, Cobalt and Nickel are consistent with the geology classes However, they did not match the agriculture pattern Findings of this study in the area give us appropriate information about the concentration distribution of heavy metals Chromium, Cobalt and Nickel which can be used in monitoring and evaluation processes of heavy metals pollution in agricultural lands area. But on the other hand sampling in the areas far away from human effects, showed that the heavy metals concentration is naturally high.
R. Mirabbasi Najafabadi, Y. Dinpazhoh , A. Fakheri-Fard,
Volume 15, Issue 58 (winter 2012)
Abstract
Accurate estimation of runoff for a watershed is a very important issue in water resources management. In this study, the monthly runoff was estimated using the rainfall information and conditional probability distribution model based on the principle of maximum entropy. The information of monthly rainfall and runoff data of Kasilian River basin from 1960 to 2006 were used for the development of model. The model parameters were estimated using the prior information of the watershed such as mean of rainfall, runoff and their covariance. Using the developed model, monthly runoff was estimated for different values of runoff coefficient, , return period, , at different probability levels of rainfall for the basin under study. Results showed that the developed model estimates runoff for all return periods satisfactorily if the runoff coefficient value is taken 0.6. Also, it is observed that at a particular probability level and runoff coefficient, the estimated runoff decreases as return period increases. However, the rate of change of runoff decreases slightly as return period increases.
K. Bayat, S. M. Mirlatifi,
Volume 16, Issue 61 (fall 2012)
Abstract
Global solar radiation (Rs( on a horizontal surface in the estimation of evapotranspiration of plants and hydrology studies is an important factor. Average daily global solar radiation on a horizontal surface was estimated by artificial neural networks (ANNs) and five empirical models including FAO (No.56), Hargreaves-Samani, Mahmood-Hubard, Bahel and Annandale. The weather data was selected from Karaj, Shiraz, and Ramsar weather stations, which have arid, semi arid and very humid climates (based on De Martonne classification). Daily solar radiation was measured at the three sites selected. The ANN, with actual duration of sunshine and maximum possible duration of sunshine as input parameters, generated daily solar radiation estimates with highest level of accuracy among all models tested. Rs estimates by ANNs with only temperature indices as input and by Hargreaves-Samani, Annandale and Mahmood-Hubard, which are all temperature oriented models, had lower accuracy at all three sites. In contrast, ANNs with actual duration of sunshine and maximum possible sunshine hours as inputs in Karaj, Shiraz and Ramsar station with root mean square error (RMSE) of 2.08, 1.85 and 2.05 Mj m-2 day-1 respectively were the best models. After ANNs, FAO-56 model which is based on sunshine hours produced results closer to the measured values. Rs estimates by ANNs with only temperature indices as input and by Hargreaves-Samani, Annandale and Mahmood-Hubard which are all temperature oriented models, had lower accuracy at all the three sites. These models are not appropriate for estimating daily global solar radiation.
N. Miran , A. Samadi,
Volume 16, Issue 61 (fall 2012)
Abstract
To establish DRIS norms in sugar beet (Beta Vulgaris L.) and compare them with DOP index, leaf samples were collected from 57 fields and N, P, K, Ca, Mg, Fe, Mn, Zn, Cu and B concentrations were determined. On the bases of crop yield, the fields were divided into two groups with low and high yielding performances. Standard DRIS norms were established for the different nutrient ratios. DRIS indices were calculated to evaluate nutrient balances and order of nutrients requirements. Sufficiency ranges of macro and micro nutrients were derived by DRIS technique. DRIS-derived sufficiency ranges were 3.0-5.4, 0.21-0.47, 1.7-3.7, 0.55-1.6, 0.19-0.34% for N, P, K, Ca, Mg, and 24-168, 10-19, 42-138, 10-14, 9-20 mg/kg for Fe, Zn, Mn, Cu, B, respectively. DRIS indices showed that among macro and micro nutrients in all low yielding fields, Phosphorus and copper had the most negative index values, respectively. The nutritional balance index (NBI) of DRIS and of DOP (∑DOP) were much more than zero in all low-yielding fields, indicating that there was imbalance between the absorbed nutrients by sugar beet. Comparison of the DRIS method with the DOP showed that both methods provide similar information in the interpretation of the results of leaf analysis.
M. Rabie, M. Gheysari, S.m. Mirlatifi,
Volume 17, Issue 63 (Spring 2013)
Abstract
Nitrate leaching from agricultural lands can pollute groundwater, and the degree of pollution caused significantly depends on agricultural practices implemented on farms. Field studies required to evaluate the effects of various agricultural management strategies on nitrate leaching are expensive and time consuming. As a result, it is suggested to use crop models to simulate the effects of management practices on nitrate leaching. Plant growth models such as DSSAT software package can simulate daily plant growth and development, and also are capable of simulating daily nitrate leaching and nitrogen uptake by plants. However, it is required to evaluate the performance of any model before using it for any specific region. In this study, the performance of nitrogen balance model of DSSAT software package was evaluated to simulate nitrate leaching from the root zone of silage maize at different levels of applied water and nitrogen fertilizer. The experiment consisted of three levels of nitrogen fertilizers, including zero, 150 and 200 kg N ha-1 and four levels of applied water 0.7SMD (soil moisture depletion), 0.85SMD, 1.0SMD and 1.13SMD. Nitrate-nitrogen leaching from 36 plots at the 60 cm depth during the growing period was measured by soil moisture suction equipment (ceramic suction cups, CSC). After calibrating the model by using field data, its performance was evaluated to simulate nitrate leaching. Maximum amount of N leaching 8.4 kg N ha-1 was obtained from over irrigation treatment with the application of 150 kg nitrogen per hectare. The model simulated nitrate leaching for this treatment as 7.8 kg N ha-1. The model consistently underestimated the nitrate leaching however, it followed the behavior of nitrate leaching during the growing season. In deficit irrigation treatments, the nitrate leaching was very low and close to zero and the model simulated the same result accordingly. The results showed that the model, in addition to phenological stages and performance indicators, can simulate nitrate leaching from the root zone and could be used to evaluate the effects of various irrigation and fertilizer management strategies on nitrate leaching.
Amir Hossein Khoshgoftarmanesh, Hamid Reza Eshghizadeh, Azadeh Sanaeei Stovar, M. S. Mirlohi, M. Taban,
Volume 17, Issue 64 (summer 2013)
Abstract
Iron chlorosis is an important disorder of plane trees (Plantanus orintalis L.) in green space of Isfahan city. Before using reclamation methods for correcting Fe chlorosis, it is necessary to find a suitable index for evaluating plant Fe status. Therefore, activity of glutathione peroxidase (GP) enzyme and concentration of carotenoids and chlorophyll a and b pigments, as physiological indices of active Fe, were compared to total Fe concentration in leaves to evaluate Fe status in plane trees. For this purpose, severity of chlorosis of plane trees at different regions of Isfahan city was recorded. Then, 73 trees with different severity of chlorosis symptoms were selected and their leaves were sampled on July 2009 and 2010. Concentration of Fe, chlorophyll a and b and carotenoids in leaves as well as activity of GP enzyme were measured. Results showed large variation in leaf Fe concentration between young and old leaves and also between leaves with different chlorosis severity symptoms. No correlation was found between leaf Fe chlorophyll concentration and severity of chlorosis symptoms. Also, concentrations of chlorophyll a in young and old leaves with very severe chlorosis symptoms were 44 and 37% smaller than that in young and old leaves with slight chlorosis symptoms, respectively. Concentration of chlorophyll b in young and old leaves with very severe chlorosis symptoms were 40 and 37% smaller than that in young and old leaves with slight chlorosis symptoms, respectively. Concentration of carotenoids varied among young and old leaves with different severity of chlorosis symptoms. Activity of GP in young leaves was also reduced by intensifying severity of chlorosis symptoms. According to the result of the present study, activity of GP enzyme and leaf concentration of carotenoids and chlorophyll a, as suitable physiological indices of active Fe, had close correlation with severity of Fe chlorosis in plane trees. Also, deficiency of active Fe in leaves is a probable reason of chlorosis symptoms in plane trees.
Mahin Karami, Majid Afyuni, Amir Hossein Khoshgoftarmanesh, Mohammad Ali Hajabbasi, Hossien Khademi, Ali Abdi,
Volume 17, Issue 64 (summer 2013)
Abstract
Zinc (Zn) is an essential trace element for plants as well as for animals and humans. There is a significant relationship between soils, plants and humans Zn status in a certain agro-ecosystem. The objectives of this study were to assess Zn status of soils in 3 arid and semiarid provinces of Iran and to model the relationship between wheat grain Zn and agro-ecosystem parameters. About 137 soil and wheat samples were collected randomly from the agricultural soils of Fars, Isfahan and Qom and were analysed in laboratory. Modeling the relationship between wheat grain Zn and agro-ecosystem parameters was done using least square based and robust methods. The results indicated that total Zn concentration of soils (range, 21-149 mg kg-1 mean, 75.2 mg kg-1) was in normal ranges. The DTPA-extractable Zn concentrations were below the critical level (0.8 mg kg-1) in 16% of the surveyed fields. The Zn concentration in 80% of wheat grains was sufficient (more than 24 mg kg-1) with respect to plant nutrition (range, 11.7-64 mg kg-1 mean, 31.6 mg kg-1). However, Zn bioavailability for consumers was generally low in more than 75% of the samples. This is because of high phytic acid to Zn molar ratio (more than 15). Soil DTPA-extractable Zn and available P were entered in to most of regression models significantly. Regression analysis showed that most of models fitted to wheat grain Zn concentration and soil Zn and influenced by agro-ecosystem parameters had a weak prediction power, despite their high determination coefficient. This means that factors other than those considered here have a strong influence on the uptake of Zn by wheat in these soils.
Sakineh Abdi, Mehdi Tajbakhsh, Babak Abdollahi Mandulakani, Mirhasan Rasouli Sadaghiani,
Volume 17, Issue 64 (summer 2013)
Abstract
The incorporation of plant residues in soils of arid and semiarid regions is a major principle of sustainable agriculture. This study was conducted at the research farm of Urmia University (37° 32’N and 45° 5’ E), Urmia, Iran during the 2009 and 2010 growing seasons. Five green manure crops were grown in four replications arranged in a randomized complete block design. The treatments included white clover (T.repens), sainfoin (Onobrychis viciaefolia), pearl millet (Panicum miliaceum), sorghum (Sorghum bicolor) and turnip (Eruca sativa). Changes in soil nutrient elements and nitrogen mineralization were measured during different time periods after plant residues incorporation to soil. The plants were irrigated 50% of field capacity during growing period. The results showed that the total nitrogen and NH4-N were influenced by type of green manure in both years. The lignin and cellulose were the main factors controlling N mineralization and residue decomposition. In the first and second year, the results indicated that pearl millet green residues resulted in the highest amount of soil organic carbon. Nitrate-N content reached the highest amount in sainfoin and white clover. In conclusion, white clover and sainfoin due to increasing total and mineral nitrogen for subsequent plants could be introduced as a proper green manure in water deficit conditions.
Vajiheh Dorostkar, Majid Afyuni, Amirhossein Khoshgoftarmanesh,
Volume 17, Issue 64 (summer 2013)
Abstract
Limited information is available about the effect of preceding crop residues on bioavailability of zinc (Zn) in calcareous soil and its accumulation in wheat grain. In this experiment, residues of five crops including safflower (Carthamus tinctorius L.), sunflower (Helianthus annuus L.), bean (Phaseolus vulgaris L.), clover (Trifolium pretense L.) and sorghum (Sorghum bicolor L.) were incorporated into a calcareous Zn-deficient (0.5 mg kg-1) soil. A treatment without crop residue was also used in the experiment. This experiment was conducted in research greenhouse of Isfahan university of technology in 2010. Two wheat cultivars (Triticum aestivum cvs. Backcross and Kavir) differing in Zn-efficiency were studied in the experiment. Incorporating crop residues into the soil resulted in an increase of grain Zn concentration in both wheat cultivars although this increase was dependent on the preceding crop type. The greatest increase of grain Zn concentration occurred in the sorghum residues treatments. Although application of crop residues significantly decreased grain phytic acid to Zn molar ratio (as Zn bioavailability criteria for consumers), this ratio was still higher than 15, the critical Zn bioavailability level for consumers in foods. According to the results, despite the increase in the total Zn content, the bioavailability of Zn in wheat grain was not affected by crop residue treatments.
H. Ghamar Nia, M. Jafari Zadeh, E. Miri, M.e Ghobadi,
Volume 17, Issue 66 (winter 2014)
Abstract
The estimation of crop water requirement is one the most important stages for designing different irrigation systems, programming and corrected management of water resources. Therefore, to determine the water requirement for Coriandrum sativum L. a study was conducted in College of Agriculture Research Farm at Razi University in the city of Kermanshah during two years, 2010 and 2011. For this purpose, three water balance drainable lysimeters with the diameter of 1.20m and height of 1.40 m were used. During the investigation, the irrigation was determined by using data logger equipment of (IDRG). The soil humidity was determined in the field capacity condition. The evapotranspiration was calculated using water balance equation. Finally, the Coriandrum sativum L. water requirement was determined to be 722.95 and 580.64mm for years 1388-1389 and 1389-1390, respectively. Meanwhile, the potential evapotranspiration using the Penman Monteith equation was calculated to be 643.58 and 530.17mm for the first and second year of investigation, respectively.
S. M. J. Mirzaei, , S. H. Tabatabaei, M. Heidarpour, P. Najafi,
Volume 17, Issue 66 (winter 2014)
Abstract
There chemical and organic matter content in garbage leachate that may affect soil physical and hydraulic properties. The main objective of this study was to evaluate the influences of the leachate of Isfahan Organic Fertilizer Factory (IOFF) on some soil physical and hydraulic properties in a soil chemically enriched by Zeolite. The treatments include two soil textures (clay loam and sandy loam) and three levels of zeolite (0, 5 and 10 percent). The treatments were applied on lysimeters scale. The results showed that irrigation with the leachate caused a reduction of infiltration and hydraulic conductivity in the clay loam soil. The hydraulic conductivities in clay loam soil without zeolite (B0) before and after irrigation with leachate were 1.73 and 0.36 m/day, respectively. In contrast, there were no changes in the sandy loam soil’s infiltration and hydraulic conductivity. The hydraulic conductivities in the sandy loam soil with 5 percent zeolite (A5) before and after irrigation with leachate were 3.17 m/day. Furthermore, zeolite had a decreasing effect on those processes. The results show that irrigation with leachate caused reduction of bulk density in two types of soil and all levels of zeolite.
M. Alizadeh, F. Mirzaii, T. Sohrabi , M. Kkavosi , M. R Yazdani,
Volume 17, Issue 66 (winter 2014)
Abstract
Water management in cracked paddy soils is an important issue in rice cultivation. In order to study organic matter and zeolite effect and their interaction on moisture conditions and hydraulic and physical properties of paddy soils, the organic matter (rice straw) at four levels (0, 8, 16 and 24 tons per hectare), zeolite at four levels (0, 0.5, 1 and 1.5 percent ), and also moisture stages of soil at 5 levels were selected. This experiment was conducted in Rice Research Institute of Iran. Randomized Complete Block Design (RCBD) was used to study the effect of treatments on different subjects. The amount of moisture, bulk density and the distance of soil from the wall of container were measured in a 4-month period. The obtained results showed that the interaction effects of organic matter and zeolite on soil moisture content were statistically significant at one percentage level. Addition of plant residues caused an increase in soil moisture weight and reduction in bulk density compared to the control treatment. It was also found that soil moisture content and bulk density were highly correlated. Bulk density of control treatment ranged from 0.75 to1.7 gr/cm3, while with addition of 1.5 % crop residue the bulk density ranged from 0.7 to 1.3gr/cm3. Overall results show that crop residues are effective in reduction of crack parameters of soil , but zeolite cannot be effective although it causes more maintenance of soil moisture.
