جستجوی مقالات مرتبط با کلیدواژه « furrow irrigation » در نشریات گروه « آب و خاک »

This study aimed to investigate the spatial changes of soil salinity using RF model in a part of Eyvanekey Plain (Semnan Province 2018). Grid sampling with 100 m intervals (106 samples) was taken from 105 ha of soils developed on marl and gravely alluviums. The land uses were pistachio plantations with furrow irrigation and abandoned land. The maximum EC was (173.2 and 34 dS/m) in the abandoned and furrow irrigation pistachio plantations respectively. The main factors of salinization were saline marls, saline irrigation water, and high PET. The R2 for the salinity prediction map by RF model was 0.49, and the most important covariates were normalized difference salinity index (NDSI), topographic wetness index (TWI), Channel Network Base Level (CNBL), normalized difference vegetation index (NDVI), and modified soil vegetation index (SAVI). Spectral ratio indices derived from Landsat 8 contributed the most to the soil salinity prediction. Out of 5 main auxiliary variables, 3 variables are related to spectral ratio indices and the reason was the presence of salt on the soil in the studied area. Using NDVI with other salinity and moisture indices improved the salinity prediction model. Examining the results of covariates correlation and the implementation of recursive feature elimination showed that many covariates increase model complexity and prediction error. Recursive feature elimination helped to simplify the model by identifying the most important covariates. The salinity prediction map by random forest was consistent with the field observations and clearly defined the critical saline area.

Among the surface irrigation methods, furrow irrigation is the most common and adapted method to mechanization for agricultural system. Considering the lack of water resources and the problems that sugarcane cultivation and industries have faced in recent years, increasing the efficiency and productivity of the existing surface irrigation systems is of great importance. This study was conducted in order to investigate the effect of slope, furrow length and flow rate on sugarcane and sugar yield. For this purpose, an experiment was conducted in the form of split split plot in the form of randomized complete blocks with three replications in the Mirza kochak Khan Agricultural Company. This design was done with three treatments and each treatment at three levels including: 0.02, 0.04 and 0.06% slope, 150, 200 and 250 m length of the furrow and flow rate of 2, 2.5 and 3 lit/s. The yields of sugarcane and sugar in this study were 65.8 to 120.4 t/ha and 6.3 to 12.5 t/ha, respectively. The yield of sugarcane and sugar was significantly affected by the slope and length of furrow and flow rate. The average changes were significant due to the mutual effect of slope, furrow length and flow rate on sugarcane yield (P<0.01). 250 meters long, 2 lit/s flow rate and 0.04% slope with sugarcane yield of 120.4 t/ha and sugar yield of 12.6 t/ha, it is better for sugar production in the sugarcane fields of Mirza kochak Khan Agricultural Company. A combination of a 250 m long furrow with a slope of 0.04% and a flow rate of 2 lit/s can be recommended due to the reduction of deep infiltration losses and the reduction of water drainage and optimal water consumption, which has led to the production of sugarcane and sugar with appropriate performance.

In order to investigate the effect of different water managements on yield and yield components of Quinoa (c.v. Titicaca), a factorial experiment based on a complete randomized block design was conducted with three replications at Neyshabur city in 2018. Five irrigation water management (furrow irrigation (SI), low-pressure drip irrigation by Tape in the middle of furrow ridge (TI), low-pressure drip irrigation by Tape on both sides of the furrow ridge in alternate every other furrow (ATI), low-pressure drip irrigation by Tape at 75% full irrigation on both sides of the furrow ridge in alternate every other furrow (0.75 ATI), low-pressure drip irrigation by Tape in the middle of furrow ridge at 75% full irrigation (0.75 TI) were employed. The results of comparing the averages showed that the highest amounts of Quinoa grain yield and 1000 kernel weights were 1805 Kg ha-1 and 2.35 gr, respectively, for SI while the lowest ones were 1352.7 Kg ha-1 and 1.69 gr, respectively, for 0.75 TI. The TI, ATI, 0.75 ATI, and 0.75 TI treatments lead to a decrease in the Quinoa grain yield of 12.4, 11.6, 18.7, and 25.1%, respectively, as compared to the SI treatment. The best production function of yield-irrigation water was a linear function (Y=1014 +0.13 I).

in order to determine the economic evaluation of Grain Maize crop behavior in relation to Surge and alternate Deficit irrigation strategy, a research in Jaydar plain of Poldokhtar city during the year 2021-2022 was done. The statistical design of the research was Factorial design in a randomized complete block design Which has two factors at 5 and 3levels. Factor A (five furrow irrigation methods) including conventional irrigation (C), Surge irrigation with one-to-one flow wave cycle ratio until advance time is complete (S_1), Surge irrigation with two-to-one flow wave cycle ratio until advance time is complete (S_2) , fixed alternate irrigation (FF) and variable alternate irrigation (AF) as well as factor B (three irrigation regimes) including 100% water requirement (I_100), 80% water requirement (I_80) and 60% water requirement (I_60). The number of experimental treatments was 15 and the number of replications was 3 replications. The results showed that in irrigation methods, the highest gross and net profit in relation to the amount of water consumed is related to the s_1 surge irrigation method respectively with values of 20.24 and 9.87 thousand Rials per cubic meter. In different irrigation regimes, the highest gross and net profit in relation to the amount of water consumed respectively is related to the (I_80) with the amount of 19.46 thousand Rials per cubic meter and (I_100) with the amount of 8.29 thousand Rials per cubic meter was determined. Finally for different irrigation treatments, the highest gross and net profit in relation to the amount of water used was related to the treatment S_1 I_60 respectively is 22.53 and 10.7 thousand Rials per cubic meter.

The climate change, the intensity and continuity of drought periods, will affect the frequency of its occurrence in the coming decades. Iran is one of the countries that suffered the most damage from drought. Soil infiltration, which is very important in the design and management of furrow irrigation, changes over time. This issue will have a great impact on the irrigation efficiency. The purpose of this research is to investigate the temporal changes of the parameters of the Kostiakov-Lewis infiltration equation in furrow irrigation of sugarcane plant. The values of inflow, outflow and advance time were measured during 4 irrigation in 6 repetitions.The infiltration parameters were estimated using the advance time data and the hydrograph of the inflow and outflow using volume balance method. The results showed that there are significant temporal changes between the average values and the values of the coefficients of the Kostiakov-Lewis infiltration equation in each irrigation and the maximum change was related to the first irrigation, so that the range of parameter a changes in the range of 0.59 - 0.09 and the maximum value was related to the first irrigation, the range of changes in parameter k were observed in the range of 0.90 - 0.25, the highest of which was observed in the second irrigation. The average of f0 were equal to 7.333* 10-5 m^3/m.min with a CV of 16%. The results showed that the trend of time changes of infiltration parameters is not constant and more research is needed in this field.

The AquaCrop model is one of the most widely used crop model that has been evaluated to simulate different crops. However, its accuracy in the simultaneous use of water stress and fertilizer in furrow irrigation has not been investigated. Therefore, the present study was accomplished using two factors: the amount of crop water requirement (at four levels W1, W2, W3 and W4, respectively, 120, 100, 80 and 60% of water requirement) and nitrogen fertilizer (at four levels N1, N2, N3 and N4 represent the application of 100, 80, 60 and zero percent fertilizer requirements, respectively). The required data, consisted of meteorological, soil, irrigation and nitrogen amounts, and crop characteristics, were collected in Seed and Plant Breeding Research Institute (in Karaj). Aforementioned data were used to simulate maize yield and crop water productivity. The results showed that the AquaCrop model for yield simulation (MBE = -0.15) and water efficiency (MBE = -0.32) had an overestimation error. The accuracy of this model for simulating grain yield and water productivity was 9% and 24%, respectively. With increasing water and fertilizer stress, the accuracy of the AquaCrop model for yield simulation decreased. The efficiency of the AquaCrop in simulating grain yield (EF = 0.92) and water productivity (EF = 0.47) was very favorable. Applying of the model in similar conditions is recommended for future studies.

in order to investigate the effect of surge and alternate deficit irrigation on yield and water productivity of grain maize variety SC704, a research was done in Jaydar plain of Poldakhtar city during the 2021-2022. The statistical design of the research was factorial in a randomized complete block which included two factors at 5 and 3levels. Factor A (five furrow irrigation methods) including conventional irrigation (C), surge irrigation with on/off cycle ratios of 1 and o.5 (S_1 and S_2, respectively) until advance time is complete, fixed alternate irrigation (FF) and variable alternate irrigation (AF) as well as factor B (three irrigation regimes) including 100% water requirement (I_100), 80% water requirement (I_80) and 60% water requirement (I_60). The number of experimental treatments was 15 and the number of replications was 3. The results showed that compared to the control treatment (CI_100), the highest and lowest water consumption savings related to irrigation treatments AFI_60 and S_2 I_100 were equal to 50.2 and 9.6%.The highest water use efficiency, the lowest surface runoff losses and the deep penetration of research treatments are related to AFI_60 irrigation treatment respectively with values of 75.7, 22.4 and 1.9% . The highest yield (grain weight and total weight of ears) was related to S_2 I_100 irrigation treatment with values of 6202 and 8064 kg / ha, which increased by 4.97 and 5.13% compared to the control treatment. The highest water productivity for grain weight and total weight of ears was related to S_1 I_60 irrigation treatment respectively equal to 0.75 and 0.95 kg / m3 , which increased by 47 and 41.8% compared to the control treatment and it was suggested as the most appropriate method of maize irrigation in the study area.

In order to increase the application efficiency and distribution uniformity in surface irrigation methods,some techniques such as the application of surge flow have been developed.One of the requirements for proper and efficient design of surge irrigation is to accurately determine the infiltration equation parameters.The purpose of the present study was to investigate the performance of three methods Elliott and Walker two-point, Shepard one-point and nonlinear regression methods in estimating water infiltration in furrow irrigation with surge flow.For this purpose,the field evaluation data of three experimental furrow included two furrows under surge flow and a furrow with continuous flow were used.The length and spacing of the furrows was 150m and 0.75m,respectively.The soil texture was clay loam.The results showed that the one-point method had the lowest performance in estimating the infiltration in furrow with surge and continuous flow.On the other hand,the results of nonlinear regression and two point methods were acceptable and close to each other.The mean values of root mean square error index for the one-point, two-point and nonlinear regression methods in estimating the advance times under surge flow were 10.85, 2.52 and 2.46 min,respectively, and in furrows under continuous flow were 8.87, 6.57 and 4.77 min, respectively.Also, the values of mean relative error in estimating the volume of infiltrated water in the furrows with surge flow were 42.12, 3.51 and 4.79, respectively,and for continuous flow were 7.70, 6.33 and 2.53, respectively.Results indicated that, the nonlinear regression method performed better in estimating the infiltration of furrow irrigation under surge and continuous flows.

In this study, the seasonal applied water and physical and economic water productivity of soybean were evaluated through monitoring 37 farmers’ fields (with furrow/border irrigation systems) in Moghan Plain, Ardabil Province, Iran, during the 2020-21 growing season. The net soybean water requirement during that growing season and its 10-year mean value ranged from 431-691 mm and 442-671 mm with a mean of 542 and 543 mm, respectively. The mean seasonal total applied water (irrigation + effective precipitation) and the grain yield were 6554 m3 ha-1 and 2.90 ton ha-1, ranging from 5005-10009 m3 ha-1 and 2.05-4.12 ton ha-1, respectively. The mean seasonal total applied water for spring soybean (7906 m3 ha-1) was significantly (P < 0.01) higher than its corresponding value for summer soybean (6390 m3 ha-1). Total water productivity (WPI+Pe) and economic water productivity (WP$) ranged from 0.18 to 0.30 kg m-3 and 15.21 ´ 103 to 62.40 ´ 103 Rials m-3 with a mean of 0.24 kg m-3 and 33.19 ´ 103 Rials m-3, respectively. In most of the studied farms (70% of total cases), the grain yield was higher than the minimum expected threshold for irrigated soybean (2.5 ton ha-1). The results indicated that reasonable levels of grain yield and water productivity indices can be achieved by applying five and three irrigations for spring and summer soybean, respectively. The mean water application efficiency over soybean growth stages in the studied fields ranged between 50-82%.

In order to investigate the effect of different irrigation systems and weed control treatments on quantitative and qualitative yield of sugarcane and weeds biomass, an experiment was conducted as split plot based on randomized complete block design (RCBD) with three replications in 2020 at Sugarcane Development Research and Training Institute of Khuzestan, Iran. The five irrigation systems included surface drip irrigation (I0), two types of subsurface drip irrigation with a discharge rate of 2.3 and 3.6 L/h and emitter spacing of 50 and 60 cm (I1 and I2 respectively), Low Energy Precision Application (LEPA) sprinkler irrigation (I3), and the conventional  furrow irrigation method (I4) as the main plot, and weed treatments included no weed control throughout the season, (W0), weed control throughout the season (W1), and use of cultivator (W2). The highest and lowest mean cane yield (167 and 117 ton/ha, respectively) and sugar yield (18.24, 12.40 ton/ha, respectively) were observed in I3 and I4 irrigations, respectively. Mean cane and sugar yield in W0 were significantly lower than W1 and W2 treatments (with a difference of 18.34% and 18.78% for cane yield and 17.84% and 18.85% for sugar yield, respectively). Qualitative traits including Brix, syrup sucrose percentage and syrup purity percentage were not affected by irrigation systems and weed control treatments. The total dry matter of weeds for I0, I1, I2, I3 and I4 Irrigation treatments were 90, 78, 47, 43 and 173 g/m2 under W0 treatment and 30, 23, 16, 15 and 40 g/m2 under W2 treatment, respectively. In the condition of the study area, results indicated that adoption of LEPA sprinkler or subsurface drip irrigation system together with the use of cultivator in the first ratoon leads to irrigation water saving and reduces weeds competition in sugarcane fields.

In this study, six extracting method of infiltration equation in furrow in Lavark field of Isfahan University of technology was performed and the rate of surface storage change has been calculated. . Information were collected, among three replications and five furrow irrigation event, double ring test, include cross-section, advance, recession, inflow and outflow rates, in addition to infiltration changes in submerged static condition and hydraulic conductivity of soil. The results were analyzed using a randomized complete block design. the study of infiltration process related to the various equations showed that there is high statistically significant difference at level of one percent in estimation of average infiltration in different time intervals of five using these equations. The most infilteration rate is related to volume balance equation and the least value was observed in input-output method results.On the other hand,According to result,the errors least(nearly zero) related to modified double ring equation.In fact, this equations,according to modified with the measured amount of water infiltration and the average infiltration time taken them, For the duration of the tests (average time of about one hour influence) is very near the measured values have been obtained on the farm. Generally, the equations with polynomial-power function estimated greater infiltration rate than simple power equations. This study showed that it is necessary to operate the farm experimentals corresponding with the applicational conditions of farm.

Safflower is one of the most important oil crops whose yield decreases under water stress. Therefore, determining its response to different irrigation water managements is very important. To do that, in this study, AquaCrop model was used to simulate three irrigation scheduling strategies of safflower for drip, subsurface drip and furrow irrigation methods. At first, AquaCrop was calibrated using data collected from a research farm located at 34˚ 21’ N and 47˚ 9’ E, in Kermanshah, Iran. In the first strategy, apply irrigation up to field capacity at a constant rate (1, 5, 10 and 20 days), in the second strategy, apply a constant amount of irrigation water (values of 10 to 50 mm for drip and subsurface drip irrigation methods and values up to 10 90 mm for furrow method at constant duration 2 and 4 days for drip and subsurface drip irrigation and 10 and 20 days for furrow) and in the third strategy apply water stress levels of 100, 66 and 33% during the growing season for all three Irrigation method was considered. The results showed that the highest yield, biomass and water productivity were obtained in the first and second strategies. Maximum values for yield and biomass were 3.7 and 12.2 fon.ha-1, respectively, and maximum water productivity was 0.54 kg.m-3 in both drip and subsurface drip irrigation and 0.69 kg.m-3 in furrow irrigation. As the second strategy is easier for farmers to implement, it is suggested that this method be used. Therefore, for drip irrigation and subsurface drip scenario, it is recommended to apply 10 mm of irrigation water with a period of two days, and apply 30 mm water irrigation with a period of 10 days.

Safflower is one of the most important oily plants whose yield decreases under water stress. Therefore, determining its response to different amounts of irrigation is very important. Hence,  the AquaCrop model for simulating safflower under different amounts of irrigation water was evaluated in this research. For this purpose, surface drip irrigation at three levels (T1, T2, and T3 represent 100, 66, and 33% of water requirement, respectively), furrow irrigation at three levels (T4: 100% water supply, T5: application of 50 mm of water at one time during flowering and T6: rainfed), and subsurface drip irrigation (T7) were considered. The results showed that the accuracy of this model for simulating yield (NRMSE <0.2), biomass (NRMSE <0.2) and water productivity (NRMSE <0.3) were in the categories of good, good and medium, respectively. In addition, the error of this model for simulating yield, biomass and water productivity was 22, 12, and 23%, respectively. AquaCrop efficiency was optimal for the three parameters so that the EF values ​​for these three parameters were more than 0.5. According to these results, the use of the AquaCrop model to simulate safflower is recommended.

Various methods have been developed to estimate the Manning roughness coefficient, of which the inverse method is widely used. This study aimed to estimate the inverse of Manning roughness coefficient using the WinSRFR model and estimating infiltration parameters of Kostiakov-Lewis equation in furrow irrigation and to investigate their variations in different irrigation events. For this purpose, two inflow discharges (average 0.27 and 0.53 liters per second), two irrigation cycles (5 and 10 days), two fields with different soil texture (E and F) in three irrigation events (first to third) were considered in three replications. Model error in estimating advance and recession time, and volume of infiltrated water was investigated using statistical indices including RE, RMSE and NRMSE. The values of these indices in estimating the advance time in the field E were 0.44%, 0.21 min and 1.11% in the total three irrigation events, respectively. Also, the values of these indices were 1.58%, 5.25 min and 2.78% in the recession time and 0.59%, 5.5 liters and 0.50% in the volume of infiltrated water, respectively. There was less error in estimating the advance and recession time in the field F which showed the excellent accuracy of the inverse estimation method using the WinSRFR model in determining the Manning roughness coefficient. The results also showed that in the field E, the minimum and maximum values of Manning roughness coefficient were estimated as 0.017 and 0.34 and on average 0.075 in the total three irrigation events, respectively. In the field F, the minimum, maximum and the average values of Manning roughness coefficient in three irrigation events were 0.015 and 0.09 and 0.041, respectively.

In order to investigate the effect of the type drip of irrigation methods, subsurface irrigation and furrow irrigation on the domestication of Hedysarum criniferum Boiss., an experiment with a  randomized complete block design with three replications was implemented  at Isfahan University of Technology for two years (2016 to 2018) . For this purpose, clay pipes were made and the plant was cultivated on the sides of clay pipes and types. Also, furrow irrigation treatment was applied as the control. During the experiment, all treatments received the same water and finally, some growth parameters were measured. The results of the study showed improvement in height (0.43 and 0.34), canopy cover (0.66 and 0.52), stem number (0.44 and 0.85), chlorophyll index (0.45 and 0.45), seed emergence (0.75 and 0.30), plant survival (0.78 and 0.55), yield (0.23 and 0.35), and water use efficiency (0.25 and 0.25) under type drip irrigation treatment, as compared to subsurface and furrow irrigation, respectively (P<0.05). In general, the type drip treatment is recommended in the early years of planting; however, since the maximum production potential of this plant is in the third year onwards, it is necessary to examine the results in the following years to recommend the proper irrigation method, especially the use of subsurface irrigation.

Changes in soil infiltration cause changes in irrigation efficiencies; therefore, estimating it in calculating irrigation efficiencies provides a more accurate estimate of irrigation performance indicators. In a study conducted on ARC2-7 farm in Amirkabir agro-industry in the 2010-2011 crop year, during four irrigations; two furrows were selected in terms of uniform infiltration and variable infiltration with a length of 140 and a width of 1.83 m. In the furrow assuming uniform infiltration two flume type II, at the beginning and end of it, were installed and the cumulative infiltration was determined by the volume balance method. The furrow with variable conditions was divided into four sections by installing five flumes. By examining the spatial variations of the mean cumulative infiltration, its value decreased from the first to the fourth section for the first irrigation by 15% and for the subsequent irrigations by 13%. Temporal changes of cumulative infiltration decreased by 27 and 30% for the first and second sections and by 26% for the third and fourth sections. An 11% increase in the average weight of the aggregate diameter and a 7% decrease in bulk density indicate physical changes in the soil. Surface runoff losses increased from 8 to 18.77% in the furrow assuming uniform infiltration and from 10.91 to 19.77% in the furrow with variable infiltration, and application efficiency decreased by 6%.

The use of management strategies to increase the water use efficiency index in agricultural fields is one of the practical options to combat dehydration. Unconventional soils and waters are among the resources that can be used with proper management and full recognition of them. The aim of this study was to introduce the method of planting wheat in furrows 60 cm wide with a linear machine, flooring and furrow irrigation as a suitable alternative to conventional cultivation methods (manual sowing and field irrigation) in saline lands around Lake Urmia. To conduct research, both cultivation and irrigation methods were applied in two plots with saline soil. In each plot, crop yield components, grain yield, irrigating water consumption, water use efficiency, and soil salinity distribution were measured. Results showed that the method of seed planting into irrigation furrow by an in-furrow seed drill and furrow irrigation in saline soils instead of seed broadcasting and flood irrigation has increased seed yield at the rate of 381 kgha-1 and reduced water consumption by about 23% and consequently increased water use efficiency in wheat production by about 33%. So, due to the scarcity of agricultural water in the region and excessive water consumption in the flood irrigation method, wheat cultivation by an in-furrow seed drill and furrow irrigation is recommended especially in saline soils.

Sugarcane (Saccharum.spontaneum L.) is one of the high consumption water plants which is irrigated by both helling up (H) and non-helling up (N) furrow irrigation methods in Khuzestan. The major water losses in furrows are due to infiltration, however, measuring amount of infiltration is time consuming and costly. So, it is important to use a method for determining and management of infiltration in the farms. Regarding that, fuzzy logic (FL) and artificial neural network (ANN) were evaluated for five sugarcane industrial farms in Khuzestan. ANN with 12 scenarios (LogSig and TanSig activation functions with 3, 5 and 7 neurons in hidden layer for both N and H farrows) and FL with 8 scenarios (TriMF and GaussMF with 2 and 3 membership functions for both N and H farrows) were studied. Results showed that ANN with LogSig-5 activation function had the best error (RMSE=0.12 m3.m-1), accuracy (NRMSE=0.037) and efficiency (d=0.99 and EF=0.99) for simulation of infiltration in H furrows. ANN with TanSig-5 had the best error (RMSE=0.20 m3.m-1), accuracy (NRMSE=0.11) and efficiency (d=0.99 and EF=0.99) for simulation of infiltration in N furrows. FL had weak accuracy and efficiency for simulation of infiltration in N furrows, however, TriMF-2 had acceptable error (RMSE=1.3 m3.m-1), accuracy (NRMSE=0.052) and efficiency (d=0.99 and EF=0.98) for simulation of infiltration in H furrows. According to comparison of all scenarios, ANN accuracy was about 82% more than FL.

Sugar beet is one of the main products with high water requirement in Urmia Lake basin. Planting spacing and irrigation method of sugar beet has an important impact on increasing irrigation efficiency, crop yield and physical water productivity of this crop. In order to investigate the effect of planting spacing on irrigation efficiency, physical water productivity and crop yield, a field study was conducted on two pilot farms (A and B) in Miandoab irrigation network under farmer’s management during 2017. In this study a part of each farm was considered as control (common planting spacing and border irrigation) and the other part was considered as treatment (change the planting spacing and surface irrigation method from border to furrow irrigation). The control part of the farm included a low height groove inside the border and at 50 cm intervals (IA-C and IB-C) and the treatment part of each farm included two-row crop planting of sugar beet (so-called 40×60 cm: IIA-T and IIB-T) and furrow irrigation. According to the results, the maximum water application efficiency was obtained about 77.2% in IIA-T and the lowest efficiency was obtained about 10.2% in IB-C. The average irrigation efficiency (in 12 irrigation) in IIA-T and IIB-T were 54.5% and 51.1%, respectively and in IA-C and IB-C were 38.7% and 39.3%, respectively. Based on the results, by changing the planting pattern from common spacing to two-row (40×60) and irrigation method from border to furrow, the average water consumption reduced about 29.7% and the average yield increase from 64.3 to 74 ton/ha (increase by 15.2%). Also, the average physical productivity of sugar beet increased from 3.75 to 6.47 kg/m3 (increase of 2.71 kg/m3).

The agricultural sector is the largest consumer of renewable water. Improvement of water consumption pattern in this sector could reduce the pressure on water resources. To monitor water consumption in agriculture, it is necessary to study water productivity indicators in addition to monitoring irrigation efficiency, which determines the performance of irrigation systems. This research was conducted to evaluate the efficiency of two-way, closed-end furrow irrigation and the effect of irrigation management and different levels of nitrogen fertilization on yield, yield components and water productivity of maize. Because of its specific characteristics (the presence of four carbons, and in particular, its heat-soaking character), corn is closely matched to arid and semi-arid regions. Iran has a good climate diversity, including areas susceptible to corn production. Khuzestan province, due to its flat and fertile lands and high sunny hours, is suitable for planting most crops, especially corn. In many Iranian farms, traditional furrow irrigation is used for row plants.