جستجوی مقالات مرتبط با کلیدواژه « irrigation » در نشریات گروه « کشاورزی »

Medicinal plants are one of the most valuable resources in Iran's wide range of natural resources, which can play an important role in society's health, job creation, and non-oil exports if they are scientifically recognized, cultivated, developed, and exploited properly. Iran is considered one of the world's best regions in terms of climate, geographical location, and medicinal plant growth, and it has been a source of production and consumption of medicinal plants in the past. Lemon balm is generally used in traditional medicine to treat digestive problems, pain, and mental disorders. Drought stress is one of the most serious and widespread problems that limit plant productivity because it negatively affects plant physiology. The effects of drought stress depend on the duration, intensity and stage of growth and the genetic tolerance capacity of plants, which can reduce the growth of plants. It causes a change in morphological and physiological structures and the pattern of biomass distribution or even death.

To study the effect of foliar different growth stimulants on the growth characteristics and essential oil of balm at different levels of drought stress, an experiment was carried out in the crop year 2021. The experiment was a split plot based on randomized complete blocks with four replications, where different levels of irrigation include irrigation after 80, 60, and 40 percent of the field crop capacity (FC) in the main plots and foliar application of different growth stimulants including control, melatonin, amino acid, and folic acid were placed in sub-plots. In this research, total chlorophyll, dry matter yield, relative water content, phenoline content, soluble sugars, essential oil content, essential oil yield, total phenol, and flavonoid were measured. The data obtained from the experiment was analyzed using SAS.9.4 software. The obtaineds averages were statistically compared using Duncan's method (LSR) and at the five percent probability level.

The results of variance analysis of the data showed that the effect of irrigation and foliar spraying on growth stimulants on all investigated traits were significant at the probability level of 1%. There was a significant difference between the interaction treatments in terms of chlorophyll content, proline content, essential oil percentage, essential oil yield, and flavonoid content at the probability level of one percent and in terms of relative leaf water content, dry matter yield, soluble sugars content and total phenol content at the probability level of five percent. The results showed the highest chlorophyll content (2.25 mg g-1 FW), relative leaf water content (88.12 percent), and dry matter yield (793.79 kg ha-1) was recorded in melatonin foliar application and irrigation of 80% of FC treatments. Also, the highest essential oil content (0.81%) and essential oil yield (6.46 kg ha-1) were observed in treating foliar application with melatonin under the irrigation treatment of 60% FC. This study allocated the highest total phenol content to melatonin foliar application at 40% of the FC conditions. In this study, 40% FC irrigation treatment increased the flavonoid content by 29.90% and 93.23%, respectively, compared to 60% and 80% FC. Furthermore, foliar application of melatonin, proline amino acid, and folic acid increased the flavonoid content compared to the control treatment by 17.64, 23.35 and 32.35%, respectively.

In this study, melatonin foliar application in all three irrigation conditions increased essential oil yield compared to the corresponding control. Under irrigation and foliar spraying of melatonin, the synthesis of secondary metabolites and essential oil has been accelerated and produced the maximum yield of essential oil. Therefore, foliar spraying of melatonin and mild water deficit stress can be recommended to achieve maximum economic yield in Lemon balm.

Cover plants, among the most commonly used plants in the realm of green spaces, are typically characterized by shallow roots. In this research, a simple and flexible algorithm has been introduced for calculating the basal crop coefficient and evaporation coefficient of shallow-rooted plants without the use of (micro-) lysimeters. The presented algorithm requires measurements of moisture at three depths for short-term calculations and only surface layer moisture monitoring for long-term calculations. Using this algorithm, it is possible to calculate the potential evaporation and transpiration of the plant. Furthermore, the presented algorithm is independent of time steps. To evaluate this algorithm, nine experimental plots were utilized, including six Frankenia plots with full coverage and three bare soil plots during the peak water demand period. All experiments were conducted at the educational site of irrigation systems in the vicinity of the meteorological site of Ferdowsi University of Mashhad (FUM). For this purpose, the water content and irrigation of these plots was fulfilled (at most) every 48 hr. The results indicated that the presented algorithm has good capabilities for estimating the basal crop and evaporation coefficients. Additionally, the basal crop coefficient for Frankenia plant was found to be 1, and the evaporation coefficient was 0.58. Therefore, this method can be employed for estimating the water requirements of different plants without using (micro-) lysimeters.

Determining and analyzing the indicators of water management for the crops of the country plays an important role in the planning of the agricultural sector.This study was accomplished to investigate water management indicators of irrigation systems in Wheat production in the upstream region of Karkheh basin and specifically Honam plain in Lorestan province. 14 wheat farms were selected in the mentioned area and were subjected to agronomic and water monitoring during the cropping season. Wheat applied irrigation water was determined by recording the irrigation schedule and measuring the flow rates. The water requirement of wheat was estimated by Penman-Monteith method and by applying plant coefficients. The yield and water productivity for wheat farms were obtained at the maturity stage. The results of agronomic and water monitoring of selected wheat fields showed that the type of agricultural, irrigation and fertilizer management of farmers played an important role in the amount of grain produced. Irrigation applied water, yield and WP was statistically different during the growth season for the farms. The average yield, the volume of irrigation water, the productivity of the irrigation water and the productivity of the applied water of wheat in the sprinkler irrigation system were equal to 6845 kg/ ha, 2325 m3/ha, 3 and 1.52 kg/ m3, respectively, and in the surface system equal to 5000 kg/ ha, 3237 m3/ha, 1.3 and 0.94 kg/ m3, respectively. The monitoring of the irrigation program in the selected fields showed that the farmers irrigated the mentioned fields on average 41% less than the full irrigation requirement of the plant. One of the important reasons for this is the special attention of farmers in the region to plant crops with high profitability, such as alfalfa and clover, despite the need for more water than wheat.

Medicinal plants are precious resources in Iran’s broad landscape of natural resources, which can play an essential role in health, employment, and non-petroleum export if recognized, cultivated, developed, and exploited scientifically and correctly. Given the limitation of water resources in Iran, the agricultural sector’s use of unconventional water resources has been proposed as a solution. One of these methods is to pass water through a magnetic field before irrigation to improve water productivity. The soil health management is crucial for ensuring ecological and agricultural productions and maintaining plant diversity. The negative impacts of chemical fertilizers forced the agrochemical companies to replace them with Nano-fertilizers in sustainable agricultural systems in order to achieve desirable crop productivity.

With the aim of investigating the effect of foliar application of different nano fertilizers on the quantitative and qualitative characteristics of peppermint under different irrigation conditions, an experimental experiment was carried out in an agricultural field in Miandoab city in West Azarbaijan province. The experiment was in the form of split plots based on randomized complete block design in three replications. The main plot was assigned to the irrigation cycle (every 5, 7 and 10 days) and the secondary plot was assigned to foliar spraying treatments (control (no foliar spraying) nano NPK, nano Fe, nano Zn and nano Mn). chlorophyll a, chlorophyll b, carotenoid, plant height, number of leaves per plant, leaf weight, fresh yield, dry yield, proline content, essential oil percentage and essential oil yield was measured.

Based on the results of data variance analysis, all investigated traits were affected by irrigation, foliar application and the interaction of two treatments at the 1% probability level. The interaction of year with foliar application on dry and wet yield of fodder was significant at the probability level of 1%. The triple interaction of year × irrigation× foliar application and was significant only on proline content at the 1% probability level. The results of the mean comparison of irrigation with foliar application interaction treatments showed the Foliar application of nano Fe under irrigation conditions once every 5 days had the highest content of chlorophyll a, chlorophyll b and carotenoids (respectively with an average of 13.43, 3.61 and 4.12 mg g fresh weight-1), plant height (33.92 cm), leaf fresh weight (6.71 g), aerial fresh yield (13121 kg ha-1), aerial dry yield (4600.1 kg ha-1) and the lowest proline content (6.32 mmol g weight-1). Also, the highest percentage of essential oil (0.67%) was attributed to nano Fe foliar spraying under irrigation conditions of 7 days once. In this study, although the highest essential oil yield (24.74 kg ha-1) was assigned to the application of nano Zn under the irrigation once every 5 days’ condition but there was no significant difference between the mentioned treatment and Foliar application nano NPK and nano-Fe in the irrigation treatment of 7 days’ treatments.

It can be stated that the use of NPK and Fe in the form of nanoparticles under mild water stress conditions can improve the economic performance of the product and save water consumption. Also, foliar spraying of this fertilizer it was able to significantly increase the essential oil yield of in this plant under severe water stress conditions. Therefore, foliar spraying of nutritional elements in nano form can be a solution to improve the essential oil yield in peppermint plants under water stress conditions with different intensities.

The castor bean (Ricinus communis L.), is an oilseed of relevant economic and social importance. From its seeds is extracted an oil of excellent properties, having wide use as industrial input and several applications. It is cultivated since the times of the ancient civilizations, the castor bean is a rustic plant, resistant to drought, belonging to the family of Euphorbiaceae, Drought stress, in addition to the negative effect on yield, causes or exacerbates other stresses, especially the stress of nutrient deficiencies for the plant. The purpose of this investigation was to study the effect of irrigation levels and Superabsorbents and biofertilizers on the agronomic properties of castor oil.

This experiment was conducted in West Azarbaijan Agricultural Research and Education Center, Orumieh- Iran in 2018-2021 crop season. A field experiment was carried out by a split-plot design based on a completely randomized block design with three replications. The first factor included Four levels (70, 100, 130, and 160 mm of evaporation pan), in the main plot and Sub-factor includes application of biofertilizer combination in four levels (Azospirillium, Citrobacter, combination of application of Azospirillium in Citrobacter and control without fertilizer) and superabsorbent in two levels (superabsorbent consumption and non-superabsorbent consumption) as factorial were placed in sub-plots. In this study, Chlorophyll a, Chlorophyll b, Cartonoid, Soluble sugar, prolin content, Catalase, Malondialdehyde, and protein content were measured. Also Traits were analyzed by using SAS 9.2 software and means comparison was tested by least significant difference (LSD).

Based on the results of the combined analysis of the variance of the data, there was a significant difference in was observed between the two years in terms of malondialdehyde content. There was a significant difference between the irrigation levels in terms of the effect on all traits of the probability level of 1%. The interaction effect of year and irrigation was significant only on leaf proline content at the level of 1% probability. There was a significant difference between the biofertilizer treatments and the interaction effect of biofertilizer on irrigation and superabsorbent levels in terms of the effect on all traits at the level of one percent probability. The interaction effect of irrigation with superabsorbent on chlorophyll a and b content and soluble sugar content at 1% probability level and on proline content and protein percentage at 5% probability level was significant. Between treatments of biofertilizer with superadd interaction in terms of the effect on chlorophyll b content, soluble sugar, proline content, malondialdehyde content, and protein percentage at the level of 1% percent and in terms of the effect on chlorophyll content, carotenoids and catalase activity in 5% probability level There was a significant difference. The results showed the highest chlorophyll a (23.00 mg g-1) and b content (14.93 mg g-1) as well as carotenoids (30.39 mg g-1) and the lowest amount of soluble sugar (113.33 micromol g-1 fresh weight), catalase (32.97∆A240 mg-1 protein), malondialdehyde (132.44 nmol g-1FW) and protein percentage (4.69%) were assigned to with Citrobacter treatment and irrigation after 70 mm of evaporation. Also, the highest soluble sugar content (131.42 micromol g-1 FW), proline (65.91 micromol g-1 FW), protein (11.48 %) was assigned to the treatment with Azosprilium + Citrobacter and irrigation after 160 mm of evaporation. In this study, the use of superabsorbent in the irrigation treatment of 70 mm evaporation had the highest chlorophyll a (21.29 mg g-1) and b content (12.78 mg g-1) and the lowest amount of soluble sugar (112.50 micromol g-1 FW), proline (26.50 micromol g-1 FW), catalase (35.99 ∆A mg-1 protein) and protein percentage (5.00%), While the highest soluble sugars content (129.12 micromols g-1 FW), proline (58.70 micromols g-1 FW), malondialdehyde (159.71 nmol g-1 FW), and protein (10.37 %), was observed in the treatment of superabsorbent application along with irrigation after 160 mm. In this study, the simultaneous application of superabsorbent and inoculation with azospirlium showed the highest chlorophyll a (22.25 mg g-1), b content (13.79 mg g-1), carotenoid (29.02 mg g-1), protein (7.99%) and the lowest content of catalase enzyme (39.58 ∆A240 mg-1 protein), The highest soluble sugar content (122.88 micromol g-1 FW) and the lowest amount of malondialdehyde (141.82 nmol g-1FW) were detected in the treatment of superabsorbent application with Citrobacter.

In this study, water deficit had an adverse effect on the physiological properties of castor oil. However, the use of biofertilizers and superplasticizers by improving biochemical and antioxidant properties was able to moderate the effect of drought stress on physiological properties and stabilize photosynthetic pigments, and the stability of photosynthetic pigments can improve photosynthetic properties and plant growth under water deficit conditions.

Beans are one of the cheap and important sources of high-quality vegetable protein, which is present in the diet of many people in developing countries and completes the cereal protein. Bean seeds have almost as much energy per unit weight as cereal seeds, and their protein content varies from 20-25% (about twice that of cereal). With 8-14% protein content, bean straw is very suitable fodder for livestock. The production of vegetable protein of grains has several advantages over animal protein in terms of cost and consumer health. Among other features of this plant, we can point to the ability to coexist with air nitrogen-fixing bacteria and their role in productivity, as well as strengthening and improving the physical properties of the soil. Through the ability of nitrogen fixation in these plants, placing them in rotation helps the stability of agricultural systems. At present, the largest area of bean cultivation is in the form of traditional cultivation and bean irrigation is also in the form of flooding. In this production method, more than 15,000 cubic meters of water is consumed. This amount of water consumption, along with the lack of proper productivity of other factors in production, has caused beans to be one of the least efficient products in terms of water consumption efficiency.
 

In order to investigate the effect of four irrigation methods on the damage of weeds, two-spotted spider mite (Tetranychus urticae Koch) and bacterial blight disease in chitti bean (Phaseolus vulgaris L.), a research study was conducted in 2022 and 2023 at the Bean Research and Education Center in Khomein, Iran. Despite employing a field with uniform conditions, the study was designed as a multi-location (regional) experiment using a randomized complete block design with three replications. The irrigation methods were categorized into four treatment levels: classical sprinkler irrigation, New-fit sprinkler irrigation, rain flat irrigation, and drip tape irrigation. Different types of chitti bean cultivars with three growth habits were randomly sown in these locations.
 

The experimental results showed that the irrigation method had a significant effect on seed germination percentage and bean plant height. The highest and lowest seed germination percentage and plant height were associated with drip tape irrigation and classical sprinkler irrigation, respectively. Also, the type of irrigation significantly impacted weed density, total biomass of weeds, the intensity of two spotted spider mite infestation, and bacterial blight disease. The highest weed density and biomass were observed in the New-fit and classical sprinkler irrigation methods, and the classical sprinkler irrigation exhibited the highest incidence of bacterial blight disease, too. Conversely, the lowest values for these parameters were obtained with the drip tape irrigation method. However, the highest damage caused by two spotted spider mite was observed in the drip tape irrigation method, while the lowest damage by two spotted spider mite was present in the classical sprinkler irrigation method. Furthermore, both irrigation method and bean cultivar significantly affected bean grain yield. The highest grain yield (293.6 g.m-2) was associated with drip tape irrigation, while the lowest yield (225.4 g.m-2) was observed in the classical sprinkler irrigation treatment. Among the different bean cultivars, the highest grain yield (274.1 g.m-2) was obtained from the Kousha cultivar. One of the important solutions in achieving the goals of reducing water consumption and increasing the efficiency of water consumption in bean cultivation is the implementation of pressurized irrigation instead of conventional cultivation. Pressure irrigation methods in planting beans reduce water consumption to a great extent and increase the efficiency of water consumption. The two main methods of irrigation under pressure in the country are the drip tape method and the fixed classical sprinkler with a movable sprinkler, each of which has its own advantages and disadvantages. In addition to the positive aspects of increasing yield, drip tape irrigation method in bean planting will help to further reduce water consumption.
 

In general, the experiment results demonstrated that drip tape irrigation not only increased seed germination percentage and plant height in different bean cultivars, but also led to higher grain yield compared to other irrigation methods. Additionally, the presence of weeds and bacterial blight disease were reduced in the drip tape irrigation method.

The agriculture sector, as the biggest consumer of water to produce more food, has faced the challenge of water shortage. One of the problems ahead in the agricultural industry is the sustainable use of available resources such as land, water, and labor to increase agricultural production and development, which requires proper planning and management policies. Plant models can be used to investigate the long-term effects of quantitative and qualitative changes in irrigation water on crops, soil salinity, evaporation and transpiration, deep infiltration, and surface runoff. One of the widely used plant models is the AquaCrop model, which was presented and developed by the World Food and Agriculture Organization. The Aquacrop model is one of the crop yield estimation models that can be used for a wide range of crops including fodder crops, vegetables, grains, fruits, oil crops, and tubers. In this model, the state of various stresses including water and soil salinity, simulation of lack of irrigation, and crop yield are considered. Various studies have been conducted regarding the calibration and validation of crop forecasting models in our country, and much research has been conducted on wheat at the global level. In this research, the AquaCrop model was used to predict the biomass and grain yield of wheat in Qazvin. This model can be a good substitute for field measurements and can be used in areas where there is a lack of ground information.

In the present research, the data of water wheat cultivation in a lysimeter in Ismailabad, Qazvin were used. The input information of the AquaCrop model includes information on climate, soil, management, and plant characteristics. To calibrate and verify the model, some farm information was needed to be compared with the output of the AquaCrop model. The biomass of the wheat plant was determined by taking random samples of the 0.5×0.5 m2 with two replications per sampling hectare. To measure grain yield in the fields, four samples were taken at the end of the growing season at the end stage. The validated AquaCrop model was used to estimate the effect of three planting dates and three low irrigation conditions on wheat grain yield. In this step, the average regional information around the farms was used so that the implementation of the model is not unique to the conditions of a particular farm.

In terms of the investigated meteorological factors, the model has moderate sensitivity to maximum and minimum temperature and low sensitivity to rainfall. The change in the maximum temperature in this region increases the error of the simulation on average. Regarding the soil parameters, the sensitivity of the model to the crop capacity moisture, wilting point, saturated moisture, and saturated hydraulic conductivity, especially in saturated conditions, is low to medium. The most sensitive of the AquaCrop model was the change in the reference harvest index. The model simulated biomass values with higher accuracy than yield. In the calibration stage, the values CRM, NRMSE, and d for biomass were -0.15, 0.17, and 92% respectively. These values were obtained in the validation stage for biomass -0.1, 0.24, and 92 % respectively, and for yield -0.03, 0.06, and 80 % respectively. By running the model in different climatic scenarios, it was determined that the maximum delay in the planting date is on November 15. A 25% reduction in irrigation water reduced grain yield in wet, normal, and dry years by 15%, 20%, and 28 %, respectively, and a 50 % reduction in irrigation water reduced its amount by 20, 25, and 45 %, respectively.

Evaluation of the AquaCrop model for common plants in a region plays an important role in comparing crop performance in different conditions. In this research, the ability of AquaCrop 6 model to estimate the yield and biomass of wheat in Ismailabad Qazvin was investigated. The results showed that the model is capable of simulating these factors with high accuracy. The accuracy of the model in biomass simulation was higher than the grain yield. By implementing the calibrated model in different climatic scenarios, planting dates, and irrigation deficits in two regions, it was determined that to achieve optimal performance, the wheat planting date should not exceed 15 November. It was the use of calibration coefficients by spending a long time in the AquaCrop model so that a calibrated model can be used in many areas with proper accuracy. More accuracy in the simulated results can be achieved by using more calibration factors, but it is clear that the use of more calibration factors requires spending more time and money. Finding a general recalibrated model that can be used in large areas is a good solution in crop management at the farm-to-regional scale. Comparing the statistical parameters obtained in this study with previous studies on wheat yield modeling by the AquaCrop model shows that the results of this study are within an acceptable range.

Landfill leachate, a liquid resulting from waste decomposition, contains nutrients like ammoniacal-N, Na, K, and organic matter. Biological treatments effectively remove degradable organics from young landfill leachate, but aged leachate with recalcitrant organics requires combined physical-chemical and biological methods or advanced technologies, leading to higher treatment costs. Even after treatment, leachate may not meet environmental standards for release. In arid and semi-arid regions with water scarcity and low soil organic matter, leachate application to soil presents a potential solution. Soil’s properties enable it to retain and degrade pollutants while utilizing leachate’s nutrients to enhance fertility and crop growth. However, leachate composition and application rates are critical factors due to potential negative impacts from total nitrogen, salinity, and heavy metals. Alkaline pH in aged leachate reduces heavy metal contamination risk. Detailed leachate characterization before soil application is crucial to prevent environmental and functional problems. This review examines existing research on leachate irrigation’s effects on soil properties and plant nutrition, contributing to sustainable leachate management and agricultural practices in water-limited regions. Additionally, the review explores potential risks associated with leachate irrigation, including soil salinization, heavy metal accumulation, and groundwater contamination. By understanding both the benefits and drawbacks, informed decisions can be made regarding the suitability and implementation of leachate irrigation in specific contexts.

To carry out this study, keywords such as "Landfill leachate", "Composition of landfill leachate" and "Landfill leachate irrigation" were searched in the Web of Science, Google Scholar, ScienceDirect, and SID databases. For these keywords, 205 articles were found from 1989 to 2023. After the screening, quality review, and removal of repetitive and unrelated articles, 110 relevant articles were used. The main criterion for selecting articles was the effects of landfill leachate irrigation on the various properties of soil, and the nutrition of different plant species. The quality of the articles was evaluated through the Scimago Journal Rank (SJR) index, the citation, the Impact Factor, and the source normalized impact per paper (SNIP) index.

Landfill leachate presents a complex environmental challenge due to its potential for both soil contamination and enrichment. Leachate's xenobiotic and heavy metal components can induce soil contamination, altering the natural environment. Studies have documented reduced hydraulic conductivity, increased gas production, and altered microbial communities, ultimately impacting soil productivity.  Leachate percolation can also modify physicochemical characteristics, including reduced microbial biomass, phosphorus-fixing capacity, and pH shifts, depending on waste composition. Conversely, research highlights the potential benefits of leachate application in arid and semi-arid regions facing water scarcity and low soil organic matter. Leachate can contribute to the increased organic content, improved soil structure, and regulated pH, enhancing soil fertility and crop productivity.  The presence of macro and micro-nutrients such as Fe, Mn, N, P, and Zn further supports leachate's potential as a fertilizer. However, concerns remain regarding inhibitory chemicals in leachate and their potential detrimental effects on plant growth and yield. Studies report instances of leaf injury, reduced yield, and poor survival rates in certain plant species.  In contrast, research demonstrates the positive effects of diluted or low-strength leachate application, stimulating plant growth and enhancing yield, particularly for Brassica species and tree species like Acacia confusa, Leucaena leptocephali, and Eucalyptus tortellini. These contradictory findings underscore the intricate interplay of factors influencing leachate irrigation outcomes. Soil characteristics, plant species, leachate source and composition, application methods, and their interactions all play significant roles in determining the success or failure of leachate irrigation.

Landfill leachate, characterized by its elevated nitrogen and nutrient levels, presents a potential alternative water and fertilizer source for agricultural practices, particularly in arid and semi-arid regions facing water scarcity. However, responsible leachate utilization necessitates a comprehensive approach that balances maximizing benefits with minimizing environmental risks. Prior to agricultural application, detailed leachate characterization is crucial to determine its precise composition and suitability for irrigation. This includes quantifying heavy metal concentrations, salinity levels, and the presence of potentially toxic organic compounds.  Concurrent plant selection is equally important, prioritizing species with demonstrated tolerance to leachate constituents. Given the potential for salinity and heavy metal accumulation, continuous application of raw leachate, especially for sensitive crops, should be avoided. Implementing alternating irrigation regimes with conventional water sources can mitigate these risks while providing essential nutrients for plant growth.  Monitoring soil health indicators, including pH, organic matter content, and microbial activity, is vital to assess long-term impacts and implement necessary soil amendments. Determining optimal leachate application rates requires a multifaceted approach that considers plant-specific nitrogen requirements, leachate toxicity levels, and soil infiltration capacity.  This ensures adequate nutrient supply without exceeding the assimilative capacity of plants and soil, preventing environmental contamination. Further research is needed to investigate the long-term impacts of leachate irrigation on soil health, crop quality, and potential groundwater contamination. Developing standardized guidelines for leachate treatment and application, tailored to specific regional contexts and crop types, is crucial for promoting sustainable and responsible leachate utilization in agriculture.

Agricultural water management studies require accurate information on actual evapotranspiration. This information must have sufficient spatial detail to allow analysis on the farm or basin level (Sanchez et al., 2008). The methods used to estimate evapotranspiration are grouped into two main groups, which include direct methods and indirect or computational methods (Alizade and Kamali, 2007). Basics of the indirect methods are based on the relationship between meteorological parameters, which impedes the use of these data with a lack or impairment. On the other hand, this information is a point specific to meteorological stations, and their regional estimates are another problem of uncertainty of their own. To this end, the use of remote sensing technology can be a suitable approach to address these constraints. Real evapotranspiration can be estimated by satellite imagery that has short and long wavelengths and is estimated using surface energy equations (Chihda et al., 2010). Examples of such algorithms include SEBAL (Bastiaanssen et al., 1998 Bastiaanssen, 2000;), METRIC (Allen et al., 2007), SEBS (Su, 2002). Among the above mentioned algorithms, energy billing algorithms have been used (Bagheriharooni et al., 2013; Teixeira et al., 2009). Among the factors of superiority of the SEBAL algorithm, in comparison with other remote sensing algorithms, is a satellite imagery analysis algorithm based on physical principles and uses satellite simulation and requires minimum meteorological information from ground measurements or air models (Bastiaanssen et al., 2002).

This study was accomplished to investigate water management indicators of irrigation systems in forage corn production in Tehran and Alborz Provinces. Forage corn farms were monitored during the growing season in the cities of Eslamshahr, Pakdasht, Shahr-rey and Savojbolagh. Corn applied irrigation water was determined by recording the irrigation schedule and measuring the flow rates. The water requirement of forage corn was estimated by Penman-Monteith method and by applying plant coefficients. The yield and water productivity for forage corn farms were obtained at the maturity stage. Irrigation applied water was statistically different during the growth season for the farms. Irrigation water averaged 3799, 6659 and 7240 m3 ha-1 for drip, sprinkler and surface irrigation systems, respectively. Results indicated that the farms with surface, sprinkler and drip irrigation consumed 18%, 13% and 32% less water than the gross irrigation requirement, respectively. The average volume of corn irrigation water in the four regions Islamshahr, Pakdasht, Shahrari and Savojbolagh was 6826, 5923, 6134 and 8126 m3/ha, respectively. Corn yield for sprinkler and surface irrigation systems averaged 51.3 and 52.8 t ha-1 for Eslamshahr and 49 and 55.5 t ha-1 for Pakdasht, respectively. The highest water productivity (20.83 kg m-3) in Pakdasht obtained from drip irrigation.

After soybean and oil palm, rapeseed has the third place in supplying vegetable oil in the world, so that it accounts for 14.7% of the total production of vegetable oil. The current research was carried out using modeling approach in order to simulate the replacement of wheat cultivation with rapeseed cultivation in terms of water and economic productivity in four locations (Aleshtar, Khorramabad, Pol-e Dokhtar, and Kuhdasht) in Lorestan province. APSIM model was used to simulate the growth and yield of wheat and rapeseed crops. The model validation results showed that it accurately simulates wheat and rapeseed grain yield with nRMSE of 8.6%. The results showed that wheat cultivation (3524.4 kg) had a higher grain yield than rapeseed cultivation (2750.2 kg). In addition, wheat cultivation system (1.45 kg m-3) compared with rapeseed cultivation (1.15 kg m-3) had higher water productivity. However, the difference between these two cultivation systems in terms of irrigation productivity was not considerable (0.11 kg m3). Also, economic productivity and net income of rapeseed cultivation system were 0.220 million tomans per cubic meter and 59.9 million tomans per hectare, respectively, while they were 0.014 million tomans per cubic meter and 41.1 million tomans per hectare, respectively, for wheat cultivation system. In general, the results approved that moving from wheat cultivation to rapeseed cultivation can be environmentally and economically sustainable in the agro-ecosystems of Lorestan province, especially in Khorramabad county.

Water is a critical factor for the growth and fruiting of the grapevines. Considering the water scarcity crisis in Iran and most parts of the world in recent years, it is necessary to apply methods such as deficit irrigation for the optimal management of water use in agriculture. It has been determined that by deliberately reducing water consumption in vineyards, it is possible to preserve the existing water resources and improve the water use efficiency.

A research was carried out in summer 2023 in a randomized complete block design with three replications on 8-year-old vines of the Turkmen-4 variety, to investigate the effect of deficit irrigation levels on the quantitative and qualitative traits and water use efficiency of grapevines. The vines were planted with 2 x 4 meter intervals, were trained as a vertical trellis on a bilateral cordon system, and the vineyard was irrigated by drip irrigation. The experimental treatments included full irrigation (providing 100% of vine water requirement; as control), 25% deficit irrigation (providing 75% of vine water requirement) and 50% deficit irrigation (providing 50% of vine water requirement). Irrigation of the vineyard started from May 22 and continued until November 6 at 7-day intervals, according to the conventional procedure. The water requirement of each vine in non-stressed condition was calculated by a class A evaporation pan based on reference crop evapotranspiration (ETo) and crop coefficient (Kc) throughout the season. Then, the amount of water for each treatment was determined according to the irrigation levels in the treatments and applied in volume form.

The amounts of water consumption of control, 25% and 50% deficit irrigation treatments were 5140, 3855 and 2570 m3 per hectare, respectively. The results showed that irrigation levels had a significant effect on the berries length, berries diameter, cluster length, cluster width, berries weight, cluster weight, sugar percentage, chlorophyll index, relative water content, midday leaf water potential, vegetative growth, vine yield, yield index and water use efficiency. The 25% and 50% deficit irrigation treatments caused a decrease of 7.2% and 14.2% of the berry length compared to full irrigation, respectively. Also, these treatments caused a reduction of 8.3% and 13.9% of the berry diameter, respectively. While the 25% deficit irrigation treatment had no significant effect on the berries sugar content (°Brix), the 50% deficit irrigation treatment caused a significant decrease (5%) in sugar content compared to the control. Both relative water content and midday water potential of the leaves decreased significantly with the reduction of irrigation levels. Reducing the level of irrigation led to a significant decrease in the SPAD index and vine vegetative growth. Increasing the intensity of deficit irrigation had a significant negative effect on yield components including berry weight, cluster weight, vine yield and yield index. The highest and lowest yields were obtained from full irrigation and 50% deficit irrigation, respectively but the effect of 25% deficit irrigation on yield reduction was not significant. Although the 25% and 50% deficit irrigation treatments caused a 5.8% and 27.5% decrease in vine yield, respectively but these treatments increased water use efficiency by 34% and 44.5%, respectively compared to the control. The lowest water use efficiency was related to the control (3.53 kg of fresh fruit per cubic meter of water used), while the water use efficiency of vines under 25% and 50% deficit irrigation was 4.73 and 5.10 kg of fruit per cubic meter of water, respectively. The 25% and 50% deficit irrigation treatments had a statistically significant difference with the control in terms of water use efficiency, but the difference between the two was not significant.

In the present study, reducing the volume of irrigation water led to a decrease in vine yield, but what is important is the low yield reduction rate compared to the amount of water consumption. The decrease in vine yield was 5.8% and 27.5%, respectively with a 25% and 50% decrease in water consumption. Also, with 25% and 50% reduction in water consumption, the yield index decreased by 6.1% and 27.3%, respectively. Meanwhile, the water use efficiency of vines increased by 34% and 44.5% in response to 25% and 50% deficit irrigation treatments, respectively. It is recommended to apply 25% deficit irrigation to increase the water use efficiency of Turkmen-4 grapes in climatic conditions of Malayer, but 50% deficit irrigation leads to a decrease in quality of grapes.

Agriculture is a cornerstone of many developing economies, providing food, income, and employment for millions of people. It is also projected to play a vital role in feeding a global population of 9.1 billion people by 2050. However, there are growing concerns about the environmental impact of agriculture, particularly in arid and semi-arid regions like Iran. Managing water and fertilizer usage in agriculture is crucial to ensuring food security and sustainability. However, conducting field experiments to assess the interaction of all factors involved is expensive and time-consuming. This research focuses on optimizing maize production in Kerman province, a region where maize is a major crop. The research is motivated by the need to improve resource management in Iran, where water and fertilizer resources are limited. The APSIM model is used to determine the best management scenario for maize production in Kerman province. APSIM is a crop growth simulation model that can be used to predict the impact of different management practices on crop yield, water use efficiency, and nutrient use efficiency. The use of APSIM in this research provides a cost-effective and time-efficient alternative to conducting extensive field experiments. The results of this research will contribute to the development of sustainable and efficient agricultural practices in Kerman province and similar regions. These regions are characterized by resource constraints, such as limited water and fertilizer availability. The research aimed to simulate the effect of management parameters (planting date and irrigation) on Crop yield and subsequently achieve the optimal management scenario.

The APSIM model was used for simulation in three regions of Bardsir (temperate to cold climate), Jiroft (hot and humid climate), and Orzuye (hot and dry climate). The model requires four series of data: climate, soil, management, and crop data. The required climate data (from 1998 to 2018) including daily maximum and minimum temperatures, length of sunny hours, and daily precipitation were collected and prepared from the synoptic weather stations of the three mentioned regions.The management data set for each of the study regions was prepared in the form of questionnaires and field research from experts of the Agricultural Jihad Organization, the Agricultural Research Center Organization, and prominent farmers in those regions. The crop data includes the plant genetic coefficients of the maize single cross hybrid 704, which were obtained from the calibration of the APSIM model. To optimize planting date and irrigation management in the studied areas, different planting and irrigation date treatments were investigated. In this research, planting date treatments included the conventional planting date of the region, 20 days before the conventional planting date (as early planting date), and 20 days after the conventional planting date (as late planting date). Irrigation treatments included the usual number of irrigations in the region (13 irrigations), less irrigation (11 irrigations), and more irrigation (15 irrigations).

Our results showed that the model successfully simulated maize phenology, especially maturity date, with high accuracy for all fertilizer amounts tested. The model performance in predicting biomass under different nitrogen treatments was also satisfactory, with a minimal difference between observed data and model results. The nRMSE of grain yield in the calibration stage was 11.2% and in the validation stage was 9%. The nRMSE for calibration of the biological yield of SC 704 was 14.8% and for validation was 13.9%. Also, the model was able to simulate phenology with very high accuracy (especially the days to maturity). Overall, the nRMSE of days to flowering was less than 10% and for the days to maturity was less than 5%. Late planting dates consistently showed better performance across regions and irrigation treatments, resulting in significantly increased grain yield compared to conventional and early planting dates. The highest seed yield was obtained with 15 times of irrigation, among the various irrigation treatments. Late planting combined with 15 times of irrigation yielded the best results in Kerman province, particularly in Bardsir, with a yield of 9300 kg ha-1. Optimal moisture and air conditions, along with the cultivation of a late-maturing variety, contributed to the higher seed yield. These findings are consistent with previous research that has confirmed the positive impact of late planting and extended ripening periods on maize yield.

Our results showed that the model simulates the growth and yield of single cross 704 corn in Kerman province well, even after 20 days of late planting. Long-term simulation experiments showed that maize grain yield varied depending on the region, with the highest yield in Bardsir (8317 kg ha-1) and the lowest yield in Jiroft (4735 kg ha-1). The optimum maize grain yield (8872.8 kg ha-1) was obtained by the interaction effect of late planting date and 15 times of irrigation.

In this study, the quality of the treated wastewater of Kish Island, which is the main source of irrigation for the urban area of Kish, was evaluated. First, samples were taken from 12 water storage points and transferred to the water and wastewater laboratory of Tehran University. The samples were transferred to the Laboratory of Tehran University and the physicochemical parameters include pH, EC, BOD5, COD, TSS, TDS, SAR, phosphate and nitrate, Mg, Ca and Na were measured. The results showed that in green space irrigation tanks, the water is pH and EC are between 0.2 and 1.9, which is lower than the standard; 7 reservoirs including Marjan Park, Hangman, Cactus Pool, Convention Center Pool, Iran Pool, Bagh Rah and Golestan Park Pool have BOD higher than the standard, which is considered a biological hazard for the environment. TSS is higher than the standard in 7 reservoirs, which include Marjan Park, Hangman Park, Cactus Pool, Iran Pool, Bagh Rah and Golestan. According to international standards, the amount of phosphate in water reservoirs is high and requires its management, especially in sewage treatment plants. The highest SAR was in the convention center, North Water Treatment Plant and Golestan Park, but its level in Pavion, Marjan Park, Simorgh and Cactus was less than 4, indicating its desirability for irrigation. But the reservoirs of the convention center and the northern treatment plant require more management, because the long-term use of this wastewater can lead to salting of the soil of Kish Island.

This study with the aim of determining the effect of deficit irrigation and mulching on watermelon was conducted with a preliminary experiment in the form of split plots and a design of complete randomized blocks with three replications, in the Research and Education Center of Agriculture and Natural Resources in the south of Kerman province (Jiroft), in 2021‒2022. Drip irrigation as the main plot at three levels of 100, 70 and 50% of water requirement and mulching in three levels of crushed date palm leaf, black plastic and no mulch, as the sub-plot, were considered. As results demonstrate, the main and interaction effects of the treatments on stem length, leaf area, yield, water productivity, leaf relative water content, photosynthetic pigments, proline, total phenol, leaf superoxide dismutase enzyme and fruit length and width were significant. The main effects of irrigation and mulching on internode length, membrane stability index and vitamin C, and the main effect of the irrigation on the percentage of fruit dry matter, stem branches, and the main effect of mulching on fruit shape and soluble solids were significant. Fruit pH and total acidity, tasting and lycopene were not significantly affected by the treatments. The highest yield (60.1 ton/ha) was observed in the full irrigation and plastic mulch, and the highest water productivity (15.1 kg/m3) was recorded in the 70% irrigation and plastic mulch, but no significant difference with full irrigation and plastic and date palm leaves mulches. The findings showed that the effectiveness of plastic mulch on the watermelon growth and yield was higher with 100% and 70% irrigation compared to 50% irrigation. The date palm leaf mulch, despite being superior to the control in the full irrigation, had insignificant positive effects in deficit irrigation levels due to its high sodium content (1800 mg/kg).

Deficit irrigation has been mentioned as one of the effective techniques for increasing the water productivity of plants. Deficit irrigation of 50% caused a decrease in yield and water productivity of watermelon in Valencia region of Spain (Abdelkhalik et al., 2019). The role of mulching in compensating the negative effects of deficit irrigation has been confirmed in the literature (Diaz-Perez, 2023). This research aims at investigating the effects of deficit irrigation and mulching on the growth, yield and fruit quality of watermelon and the possibility of replacing plastic mulch with date palm leaf mulch.

Irrigation as the main plot at three levels of 100, 70 and 50% of water requirement and mulching at three levels of crushed date palm leaf, black plastic and no mulch, as the sub-plot, were considered. Crimson B 34 watermelon seeds produced by Seminis company, were planted on January 2021, in plots with the size of 13.5 × 7 m, on furrows and ridges planting system (the width of furrows and ridges were 0.5 and 4 meters, respectively). After planting, bow-shaped wires were put on the planting rows and a transparent plastic was placed as a tunnel on them.

Analysis of variance of the plant growth, yield, water productivity, and some physiological and biological traits displayed that the main and interaction effects of treatments were significant. Some traits such as pH, titratable acidity, fruit taste and shape were not affected by the treatments. The main and interaction effects of the treatments on stem length, leaf area, yield, water productivity, leaf relative water content, photosynthetic pigments, proline, total phenol, leaf superoxide dismutase enzyme and fruit length and width were significant. The main effects of irrigation and mulching on internode length, membrane stability index and vitamin C, and the main effect of the irrigation on the percentage of fruit dry matter, stem branches, and the main effect of mulching on fruit shape and soluble solids were significant. Fruit pH and total acidity, tasting and lycopene were not significantly affected by the treatments. The highest yield (60.1 ton/ha) was observed in the full irrigation and plastic mulch, and the highest water productivity (15.1 kg/m3) was recorded in the 70% irrigation and plastic mulch, but no significant difference with full irrigation and plastic and date palm leaves mulches was obtained. Reducing the irrigation water from 100 to 70 and to 50% of crop evapotranspiration or ETc (estimated by the FAO-Penman-Monteith method) in all three types of the mulch led to a significant decreasing in yield (Y), which was caused by the occurrence of water stress. The first reduction in water use (i.e., from 100 to 70%) increased the water productivity (WP) even though not significantly, but the second reduction in water use (i.e., from 70 to 50%) significantly led to a decrease in WP.

Overall, the 100%ETc treatment with black plastic mulch will probably have the best result in terms of watermelon yield unless water shortage, water price, and irrigation cost are noticeable compared to the crop price. In this case, 70%ETc irrigation with black plastic will be a priority in terms of WP. Of course, the cost of mulching and its possible environmental consequences should be considered.

Soil Saturated Hydraulic conductivity is one of the most important soils physical properties, which has particular importance in studying and modeling the movement of water and salts in porous media. Because these methods are expensive and time consuming. Therefore, it seems necessary to estimate saturated hydraulic conductivity using of fast, low-cost methods with acceptable accuracy. In this research, geostatistical and response surface methods were used to estimate the hydraulic conductivity of soil saturation, the data was prepared from 135 soil profiles related to soil science and land reform studies of Ardabil Agricultural Jihad Organization in Fatah Ali Plain area. The main factor included saturated hydraulic conductivity, soil texture, bulk density, porosity, degree of saturation, and field capacity were considered as secondary factors. Among the geostatistical methods, ordinary cokriging had the best fit and the best fitted variogram in this method was the exponential model with zero nugget effect and 156 of sill range. That showed the strength of the spatial structure of the region and the full impact of the spatial structure on region variogram.  In the ordinary cokriging method, the estimation accuracy was estimated with the regression coefficient (R2=0.93) and (RMSE=3.21). In the response surface model, the best saturated hydraulic conductivity model based on the effective variables, was quadratic model with regression coefficient of 0.94 and the adequacy of accuracy of 49.2 was estimated, to determine the maximum hydraulic conductivity assuming the change of other effective parameters in the range of measured values, a target with desirability of 0.67 was obtained. This goal calculated the hydraulic conductivity of the soil at 8.9 (%) clay and 86 (%) sand, equal to 57.15 (mm/hour). Therefore, both methods are highly accurate in determining the hydraulic conductivity of soil saturation, but the response surface method (RSM) was more accurate.