Irrigated Plots Research Articles

The effect of folic fertilization on yield and quality indicators of plum fruits in arid conditions of the Astrakhan region

The article presents the results of studying the effect of foliar feeding on the yield and quality of plum fruits. The studies were carried out on the irrigated plot of the orchard of the Federal State Budgetary Scientific Institution "Pre-Caspian Agrarian Federal Scientific Center of the Russian Academy of Sciences" of the Astrakhan Region. As a result of the study, it was found out that the application of macro- and microfertilizers, which are part of the preparations Aquarin, Ultramag boron, Ultramag calcium, is an important factor that improves the commercial qualities of plum fruits. With the foliar top dressing with macro- and microelements, it is possible to control the yield and quality of fruits. The studied fertilizers have a positive effect on the weight, size and quality of plum fruits. The highest average productivity was noted in plum varieties Velikaya sinyaya - 12.3 kg/tree, Volgogradskaya - 11.5 kg/tree. Among the studied varieties, the maximum weight and size of the fetus was noted in the Zainap and Volgogradskaya varieties, which ranged from 48.5 to 54.6 grams.

Plot Layout Method of Field Experiment for Wheat with Border Irrigation Based on Soil Water Content Heterogeneity

The objective of this research was to improve the accuracy and representativeness of experimental plot studies by determining the optimum plot area and replication number for winter wheat with border irrigation. Considering the spatial distribution of soil water content, the border effect in relation to crop growth, and the lateral seepage of soil water, we sought to study and optimize the area and specifications of irrigation experiment plots with different levels and replicates. The results show that the experimental irrigation plot consisted of two parts—the core area and the guard area. The most suitable area for the experiment plot core area, with a single level and without replicates, was 60–80 m2. The core experimental area can be arranged with two replicates per 40 m2, with differences in soil moisture content between the treatments reaching more than 15% at the two experiment levels. Each plot comprised two replicates, or if they were 20 m2, then they contained three replicates; when the soil moisture contents differed between 10% and 15%, the area of each replicate plot was 80 m2, comprising two replicates, or 30 m2 with three replicates. When the difference in soil moisture content between the treatments exceeded 15% with the three experimental levels, the area of each plot was 30 m2 and they contained two replicates, or 20 m2 containing three replicates; at differences of 10% to 15%, each replicate plot was 50 m2 containing two replicates, or 30 m2 with three replicates. The experimental plots were rectangular, with irrigation furrows dug lengthwise; therefore, the plots had aspect ratios between 7:1 and 5:1. The width of the buffer area was over 60 cm. The effect of the border on plant height and LAI for winter wheat primarily emerged with one to three rows (20–60 cm) at the jointing stage, while the effect on grain yield and biomass in winter wheat mainly emerged with one to two rows (20–40 cm). The conclusions of this research will inform the development of surface irrigation methods for silt loam in northern Henan, as a reference for optimizing experiment plots employing border irrigation with different soil textures.

User Acceptance for Multitask IoT Monitoring and Controlling System for Salt Ponds

The process of making salt is still done manually by filling water into reservoirs and plots which require salt farmers to visit their farms periodically. This is mainly because the speed of the salt crystalization process is always inconsistent due to salt concentration in seawater and the weather. This study aims to build a new prototype of a water level monitoring system in reservoirs and plots in salt ponds then measure the water's salinity value, which will be reported to the farmers. The method used in this research is prototyping, which includes system requirement analysis, rapid design, prototype building, system evaluation, and system improvement. The system was tested using the black box method, namely testing all system functionality and determining user satisfaction with questionnaires. The functionality test results, including monitoring the water level and the pump control, show that the prototype functions correctly. The designed system can send information in the form of water level values in reservoirs, water levels in plots, and salinity values with linear sensor accuracy with measurement results with conventional measuring instruments with standard error values of 0.485, 0.44, and 0.72, respectively. Applying this system will ease farmers’ monitoring of water levels and controlling irrigation in reservoirs and plots.

Minimizing seepage in irrigation canals in land reclamation systems via an innovative technology

The escalating demand for water and the impact of climate change are posing significant challenges to global water scarcity and agricultural policies. The aim of this research is to investigate the factors influencing water losses in irrigation systems and provide recommendations to minimize such losses. The research methodology includes conducting studies to identify the factors causing water losses through evaporation and seepage from irrigation canals in the Kazakh part of the Ile River basin. The research results are theoretically substantiated, and a series of field studies are carried out at the inter-farm canal experimental site in Almaty province. Based on the factors affecting evaporation and seepage losses in irrigation canals, a new design of irrigation canal made from geocomposite material has been developed and introduced. This design helps to prevent water losses in inter-farm and on-farm canals of reclamation systems. The geocomposite polymer troughs have improved the technical level of irrigation systems and have enabled additional irrigation areas by increasing the efficiency of irrigation water use in land reclamation systems of Kazakhstan, thereby enhancing the efficiency factor of the irrigation network. Water seepage losses are influenced by several factors, including soil type, canal length, working flow, canal operation mode, canal condition, operation season, and wind impact. Under uniform canal operation mode, water losses are relatively small. However, intermittent modes and incomplete filling of the canal result in increased costs. The research findings indicate that for soils with a flow velocity between 0.10 and 0.30 M/s, water losses due to leakage and evaporation in constant-impact and intermittent-impact channels increase linearly. In intermittent-impact channels, irrigation water losses range from 33.7 to 40.1%. The introduction of geocomposite polymer troughs has the potential to enhance the technical level of irrigation systems by improving the efficiency of the irrigation network and enabling the addition of more irrigation plots. This research aims to reduce water losses in the irrigation canals of reclamation systems, optimize the management of water distribution in irrigation systems, enhance equipment measures, and introduce digital irrigation water metering technologies. Future studies propose the application of digital technologies to enhance irrigation water design and accounting as part of measures to minimize water losses in irrigation canals.

Assessment of the Correction of the Reference Evapotranspiration at Nonirrigated Weather Stations Affected by Aridity and Delimitation of the Meteorological Conditions that Limit its Implementation

As most reference crop evapotranspiration (ETref) estimates are computed from weather stations located outside irrigated plots, the site aridity can produce ETref overestimation. To obtain more reliable ETref estimates, the potential of using the methodology that corrects the observed air and dew point temperatures was first analyzed in this study, and the meteorological conditions that limit this methodology implementation were subsequently assessed. A statistical analysis was conducted of pairwise comparisons between a station under reference conditions (Montañana) and four nearby stations affected by aridity in Spain for 2020. The daily reference evapotranspiration was calculated with the FAO56 Penman–Monteith equation (ETo PM), and afterward, the corrected daily reference evapotranspiration (ETo PMcor) was obtained using the previously mentioned correction methodology. The statistical analysis showed a greater connection between ETref and ETo PMcor in all pairwise comparisons, with the strongest connection reached between ETref Montañana station and ETo PMcor Pastríz station (coefficient of determination r2 = 0.98 and root mean square error RMSE = 0.34 mm/day.). This ETo PM correction methodology was established considering a difference between the minimum temperature (Tmin) and the dew point temperature (Tdew) greater than 2 °C, as this value is considered the benchmark of aridity, but this research found that high aridity (P/ETo < 0.5) inland locations and high aridity coastal locations with high relative humidity (RH), markedly as of 61.5% and 68%, respectively, could exhibit days where Tmin-Tdew < 2 °C does not reflect well-watered soil and healthy grass but rather high RH levels (r2 = 0.77 and 0.57, respectively). As this correction methodology was not established considering Tmin-Tdew values smaller than 2 °C, the application scope of this methodology is limited under the above scenarios.

Water use efficiency and yield responses of Cenchrus purpureus genotypes under irrigation

AbstractIn tropical regions, water stress is one of the main causes of the reduction in forage productivity, and irrigation strategies can mitigate the problem, especially for highly productive species. The objective of this study was to evaluate the effects of irrigation, genotype and plant size on productive responses and water use efficiency (WUE) of elephant grass (Cenchrus purpureus [Schumach.] Morrone), in the rainy and dry season. The experimental design was randomized in blocks, arranged in split plots, the main plots were established based on the use of irrigation and the subplots were the tall-sized genotypes (IRI 381 and Elephant B) and dwarfs (Taiwan A-146 2.37 and Mott). The genotypes were evaluated for two years and harvested every 60 days. Water use efficiency, total forage accumulation per year and harvest, forage accumulation rate and forage density were evaluated. There was a significant difference between the genotypes in terms of total forage accumulated (P &lt; 0.05). The most productive genotype was IRI 381, which showed the greatest total forage accumulation (42 168 kg of DM/ha in two years) in the irrigated plots. During the rainy seasons, IRI 381 stood out in terms of forage accumulated (24 667 kg of DM/ha). Irrigation favoured increases in forage accumulation around 60%, in both years of evaluation. Irrigation and plant size influenced the productivity and WUE of elephant grass harvested in 60-day intervals. Tall genotypes and Taiwan A-146 2.37 (dwarf size) stood out in most of the productive traits analysed, while Mott was highlighted by its forage density.

A soil database from Queretaro, Mexico for assessment of crop and irrigation water requirements

Several studies have assessed crop water requirements based on soil properties, but these have been on a small scale or on soils with similar textures. Here, a data base of soil measurements in the field and laboratory from sites across Irrigation District 023, San Juan del Rio, Queretaro, Mexico was sampled, collected, analyzed, and integrated. The data base, named, NaneSoil, contains information on 900 samples obtained from irrigated plots. NaneSoil cover 10 of the 12 textural classes with the following information: sand, silt, clay contents, bulk density, saturated volumetric water content, field capacity, permanent wilting point and saturated hydraulic conductivity. The aim of this work is to provide the scientific community with sufficient information to perform a large number of analyses, for example, development of pedotransfer functions, calculation of water requirements of plants in soils with similar characteristics, modeling of infiltration, optimal irrigation discharge calculation, among others. The dataset also promotes the scientific community to contribute their own measurements to further strengthen the knowledge of flow in the porous medium.

EFFECT OF DRIP IRRIGATION AND GENOTYPES ON THE PRODUCTION TRAITS OF SWEET CORN (ZEA MAYS SACCHARATA STURT)

Sweet corn is one of the essential food crops in Indonesia because of its many benefits, such as, being a source of carbohydrates, oil, flour, animal feed, and others. Corn demand increases yearly, needing a large land area to meet its requirements. However, planting maize during the dry season or low rainfall faces more challenges. Therefore, using drip irrigation is a solution to ensure corn growth and sustained optimal production. The presented study aimed to determine the effects of drip irrigation on the production of two varieties of sweet corn (Zea mays saccharata Sturt) and began from February to May 2021 at the Faculty of Agriculture, Universitas Teuku Umar, Meulaboh, West Aceh, Indonesia. The study used a randomized design (split-plot) each for two irrigation levels: without drip irrigation (T0) and drip irrigation (T1) in main plots on two sweet corn varieties, Bonanza and Paragon. The parameters observed were cob diameter with cornhusk (mm), cob diameter without cornhusk (mm), cob length with cornhusk (cm), cob length without cornhusk (cm), cob weight with cornhusk (g), and cob weight without cornhusk (g). Analysis of variance showed that the drip irrigation treatments had no significant effect on all the recorded parameters. However, the varieties had a highly relevant impact on the cob diameter and length and considerably influenced the cob weight. Then again, the sweet corn varieties showed nonsignificant differences for all other variables.

Appraisal of some granular insecticides against yellow-stem borer and Crop Water Productivity of Rice under two irrigation regimes

Insect pests are serious threat to agricultural crops. Recurrent use of similar chemicals has resulted in many problems like resistance development in insects and hazardous effects on environments. The present research work was executed to probe out the comparative efficacy of some newer granular insecticidal formulations against yellow stem borer of rice, Scirpophaga incertulus (Walker). Recommended dose rates of the selected insecticides were used against the targeted insect pest. Results of incidence of S. incertulus larvae on paddy tillers showed that highest mean number population (22.40 larvae) were noted in experimental plots under flood irrigation compared with AWD irrigated plots (12.36 larvae). Data regarding dead-hearts revealed that maximum (8.5 dead-hearts /plot) were recorded in control followed by Cartap Hydrochloride (4.2 dead-hearts/plot) while lowest (2.21 dead-hearts/plot) by S. incertulus infestation were noted in chlorantraniliprol + Thiamethoxam plots under AWD irrigation. However, all the tested treatments were found superior over control. Results of white earheads showed that maximum (12.1 white earheads/plot) were recorded in case of control plot followed by Cartap Hydrochloride@ 22 kg/ha (4.16 white earheads/plot), Fipronil @20.0 kg/ha (3.78 white earheads/plot) whereas lowest (2.96 white earheads/plot) were recorded in chlorantraniliprol + Thiamethoxam treated plots. Crop water productivity of paddy plots under AWD irrigation was 0.29 kg/m3 comparatively greater than plots under flood irrigation i.e., 0.12 kg/m3. Use of new granular formulation of insecticide together with improved irrigation can be helpful for Integrated Management of yell stem borer of rice.

Effect of irrigation and fertiliser doses on sweet corn yield, water consumption and water utilization

The experiment was conducted within a framework of a two-factor long-term trial at the Research Institute for Fisheries, Aquaculture and Irrigation, in Szarvas, Hungary. This was a special field experiment, in which lysimeters have been installed in the middle of 32 m2 field plots. The main factor was the water supply with 4 levels: i1: non-irrigated control; i2: irrigated with one third of the optimal water supply; i3: irrigated with two thirds of the optimal water supply; i4: optimum irrigated plot, according to the requirement of sweet corn test plant. The amount of released irrigation water was 0, 54, 106 and 158 mm per year on average over 5 years. Within every water supply treatment there were 4 nutrient supply rates (N): N1, N2, N3, N4 = 100, 200, 300 and 400 kg ha−1 NPK fertiliser substance in ratio 2:1:1. The number of replications was 4, and the experiment was arranged in split-plot design. In the studied years, the amount of precipitation varied between 92 and 264 mm from sowing to harvesting.The effect of fertiliser was less in the non-irrigated treatments compared to that of the irrigated ones, and the yield was increased only up to 200 kg ha−1 NPK treatment level. The NPK dose of 300 kg ha−1 proved to be optimal in the irrigated treatments in which the utilization of fertilizer doses increased parallel to the improving water supply. In addition, the ratio of first class products (cobs longer than 20 cm) increased to a greater extent than the yield as a result of irrigation and fertilization. Water requirement of sweet corn proved to be between 400–450 mm resulting in an average yield of 20–24 t ha−1, of which 18–20 t ha−1 came from marketable cobs. The amount of evapotranspiration fluctuated between 270–440 mm during the five years, depending on the quantity of water supply, but it changed to a lesser extent than the amount of the yield. Increasing the fertilizer dose practically did not affect ET in non-irrigated plants, but increased it by 20–30 mm in irrigated ones. The change was not significant.The productivity of ET was only 30–45 kg ha−1 mm−1 in the non-irrigated treatment, while it was 50–55 kg ha−1 mm−1 in the irrigated treatments, with higher values at the higher fertiliser rates. The productivity of irrigation water exceeded far over the productivity of ET at adequate nutrient supply. The yield increase per 1 mm of irrigation water was on average 60 kg ha−1 mm−1, which was considerably higher than the productivity of ET of non-irrigated plants (39 kg ha−1 mm−1). There was a positive correlation between the yield and ET, and a negative correlation between the yield and specific water consumption. Irrigation and fertilization increased the average yield to a greater extent than evapotranspiration, so as the average yield increased, the ET per unit of yield decreased, i.e. the productivity of evapotranspirated water increased.

Impact of wastewater irrigation on physical health of soil and yield of marigold (Tagetes patula L. cv. Pusa deep)

A field experiment was conducted to find out the impact of wastewater irrigation on physical and microbiological soil health in marigold (Tagetes patula L. cv. Pusa deep) based on FDR sensor at Water Technology Centre farm of ICAR-Indian Agricultural Research Institute, New Delhi during period of 2020-2021. Eight treatments T-1: Groundwater irrigation scheduled at 25% MAD (v =27%); T-2: Groundwater irrigation scheduled at 50% MAD (v =22.5%) T-3: Groundwater irrigation scheduled at 75% MAD (v= 18%); T4: Groundwater irrigation scheduled as per farmers practice/recommended POP; T-5: Wastewater irrigation scheduled at 25% MAD (v= 27%); T-6: Wastewater irrigation scheduled at 50% MAD (v= 22.5%); T-7: Wastewater irrigation scheduled at 50% MAD (v= 18%); T-8: Wastewater irrigation scheduled as per farmers practice/recommended POP were laid out in a Randomized Block Design (RBD) with three replications. Results indicated that soil physical properties such as bulk density, saturated hydraulic conductivity and porosity at both the sol depths of 0-15 and 15-30 cm in marigold were significantly not changed due to application of wastewater irrigations scheduled at various range of MAD and with the use of FDR sensor. Significantly higher population density of faecal coliform bacteria was observed in treatment plot T-7 where wastewater irrigations were applied at MAD 50% as compared to groundwater irrigations. Moreover, the yield of marigold came to be high in wastewater irrigated plots compared to groundwater. Thus, short-term application of wastewater has less impact and the different ranges of MAD can be used for further studies.

Impact of wastewater irrigation on chemical properties of soil and flower quality of marigold (Tagetes patula L. cv. Pusa deep)

A field experiment was conducted to find out the impact of wastewater irrigation on physical and microbiological soil health in marigold (Tagetes patula L. cv.Pusa deep) based on FDR sensor at Water Technology Centre farm of ICAR-Indian Agricultural Research Institute, New Delhi during period of 2020-2021. Eight treatments T-1: Groundwater irrigation scheduled at 25% MAD (v=27%); T-2: Groundwater irrigation scheduled at 50% MAD (v =22.5%) T-3: Groundwater irrigation scheduled at 75% MAD (v= 18%);T4: Groundwater irrigation scheduled as per farmers practice/recommended POP; T-5: Wastewater irrigation scheduled at 25% MAD (v= 27%); T-6: Wastewater irrigation scheduled at 50% MAD (v= 22.5%); T-7: Wastewater irrigation scheduled at 50% MAD (v= 18%); T-8: Wastewater irrigation scheduled as per farmers practice/recommended POP were laid out in a Randomized Block Design (RBD) with three replications. Results indicated that soil chemical properties such as pH, organic carbon, EC, NPK and heavy metalat depth of 0-15 cm in marigold. As soil pH (7.80), EC (0.24 to 0.31 dS/m), OC (0.38), NPK and the concentration of heavy metals (Ni, Cd, Cr, Pb) were significantly higher in the treatment T6 where wastewater irrigations were scheduled at 50% MADas compared to groundwater irrigations. Moreover, the quality and grade of marigold came to be high in wastewater irrigated plots compared to groundwater. Thus, short-term application of wastewater has less impact over soil and gives better results in crop growth and quality but, the long-term application of wastewater may affect the chemical properties of the soil which can be analysed with different ranges of MAD (maximum allowable deficit) need to be studied.

The Effect of Ornamental Groundcover Habit and Irrigation Delivery on Dynamic Soil Conditions

Sustainable landscapes provide environmental, social, and financial benefits, with interest and adoption increasing due to environmental awareness. Ornamental ground-cover systems have garnered interest in the landscape due to the reduced need for water, fertilizers, pesticides, and maintenance compared to typical landscapes; however, limited research on groundcover ability to modulate soil conditions or suppress weeds exists. This study explored how ornamental groundcover systems impact the sustainability of landscapes. The effects of ground-cover growth habit (matting; bunching) and irrigation delivery method (micro spray; overhead) on soil temperature, volumetric water content (VWC), and electric conductivity (EC), along with impacts on weed growth, soil microbial communities, and plant coverage, were measured. Soil temperatures were generally lower under groundcover species with a matting growth habit, and to a lesser extent, bunching growth habits, in comparison to the warmer fallow systems. Groundcovers with a matting form led to lower VWC values compared to taxa with other growth habits, particularly when micro-irrigated. Plant form did not significantly influence EC values; however, micro spray irrigated plots had significantly higher EC values, likely attributed to irrigation spray patterns. Micro spray irrigation in tandem with matting growth habit taxa decreased weed density more effectively than taxa with bunching growth habits or groundcovers maintained under overhead irrigation. Selection of groundcover species with greater foliar coverage along with implementing more efficient irrigation practices can decrease soil temperatures, soil moisture, and weed density. Incorporating groundcovers in the landscape can decrease maintenance requirements and water/chemical use, thus increasing sustainability and decreasing environmental consequences.

Remote sensing monitoring of irrigated areas from 1972 to 2018 in the Guigou Plain, Middle Atlas, Morocco

The cartography and quantification of irrigated fields in the context of decreasing rainfall constitute a key element for water resources management. Therefore, in this context, the use of remote sensing methods applied to Landsat-type images with a high spatial resolution for monitoring the changes in land use in general and irrigated crops, in particular, is highly relevant. This paper aims to present a method for mapping spatial and temporal changes in irrigated parcels in the Guigou Plain, located in the central Middle Atlas, based on Landsat images and fieldwork. For the years 1985, 1998, 2010 and 2018, the use of a supervised classification method based on the principle of machine learning, fed by precise field surveys, has made it possible to highlight a significant extension of irrigated areas to the expense of pastureland and rainfed crops. Over the entire period under consideration, the results obtained with good precision (98.5% overall accuracy) showed that the area under irrigated crops has increased from approximately 699 ha to 3988 ha, i.e. an increase of 570%. The corollary of this increase is strong pressure on the water resource, especially groundwater. This information on the total extension of irrigated plots can be taken as a reference in the perspective of reasoned management of water resources in the sector.

Sensor feedback system enables automated deficit irrigation scheduling for cotton.

Precision irrigation technologies using sensor feedback can provide dynamic decision support to help farmers implement DI strategies. However, few studies have reported on the use of these systems for DI management. This two-year study was conducted in Bushland, Texas to investigate the performance of the geographic information (GIS) based irrigation scheduling supervisory control and data acquisition (ISSCADA) system as a tool to manage deficit irrigation scheduling for cotton (Gossypim hirsutum L). Two different irrigation scheduling methods automated by the ISSCADA system - (1) a plant feedback (designated C) - based on integrated crop water stress index (iCWSI) thresholds, and (2) a hybrid (designated H) method, created to combine soil water depletion and the iCWSI thresholds, were compared with a benchmark manual irrigation scheduling (M) that used weekly neutron probe readings. Each method applied irrigation at levels designed to be equivalent to 25%, 50% and 75% replenishment of soil water depletion to near field capacity (designated I25, I50 and I75) using the pre-established thresholds stored in the ISSCADA system or the designated percent replenishment of soil water depletion to field capacity in the M method. Fully irrigated and extremely deficit irrigated plots were also established. Relative to the fully irrigated plots, deficit irrigated plots at the I75 level for all irrigation scheduling methods-maintained seed cotton yield, while saving water. In 2021, the irrigation savings was a minimum of 20%, while in 2022, the minimum savings was 16%. Comparing the performance of deficit irrigation scheduling between the ISSCADA system and the manual method showed that crop response for all three methods were statistically similar at each irrigation level. Because the M method requires labor intensive and expensive use of the highly regulated neutron probe, the automated decision support provided by the ISSCADA system could simplify deficit irrigation management of cotton in a semi-arid region.

PUMPING PRESSURE AND FLOW RATE RELATIONSHIP TO REDUCE ENERGY CONSUMPTION IN IRRIGATION SYSTEMS

In the context of the current energy crisis, electricity consumption, especially by large consumers, must be reduced, rationally, without affecting the quality of services provided. Pressure pumping stations (PPS) in irrigation systems are usually equipped with 4 to 8 electric pumping sets with an installed power that can even exceed 1 MW. Since the PPS serving the irrigation plots must work mainly on demand, the required flow rate in the network can vary widely even during each day of the irrigation period. Also, due to the dependence of the pressure loss on the flow carried in the pipe network, this dependence is usually represented by an increasing quadratic function, and the variation of the required flow also leads to a variation, generally significant, of the pressure required from the PPS. To ensure the necessary flow, the PPS are automated with Supervisory control and data acquisition (SCADA) systems, which optimally control the configuration of the electric pumps in operation and their speed. This article presents a mathematical model and algorithm that facilitate the determination of the correlation between the pressure and flow required from the PPS ((p-Q)C), rendered by an increasing function. The implementation of (p-Q)C in the SCADA system software at PPS 2 in the Trifești-Sculeni irrigation system, in the eastern part of Romania, determined a reduction of energy consumption by up to 16%.

Issues concerning the use of anti-erosion measures in land management projects

Soil erosion is the process of erosion in the most fertile upper layers of soil and the atmospheric precipitation of underground rocks, as well as irrigation water, wind, and other effects. Natural soil erosion occurs relatively slowly, and the soil is restored in the process of natural formation. The article discusses the factors to be taken into account in the development of land management projects for eroded areas: the choice of soil composition and rotation systems and their placement, taking into account the level of erosion risk in the area; the design of irrigation plots; and the use of water-saving technologies and methods.

Water availability is a stronger driver of soil microbial processing of organic nitrogen than tree species composition

AbstractSoil organic nitrogen (N) cycling processes constitute a bottleneck of soil N cycling, yet little is known about how tree species composition may influence these rates, and even less under changes in soil water availability such as those that are being induced by climate change. In this study, we used a 12‐year‐old tree biodiversity experiment in southwestern France to assess the interactive effects of soil water availability (half of the blocks seasonally irrigated to double precipitation) and tree species composition (monocultural vs. mixed plots of coniferous Pinus pinaster, and of broadleaf Betula pendula). We measured gross protein depolymerisation rates using a novel high‐throughput isotope pool dilution method, along with soil microbial biomass carbon and N to calculate microbial biomass‐specific activities of soil organic N processes. Overall, high soil water availability led to a 42% increase in soil protein depolymerisation rates compared to the unirrigated plots, but we found no effect of species composition on these soil organic N cycling processes. When investigating the interactive effect of tree species mixing and soil water availability, the results suggest that mixing tree species had a negative effect on soil organic N cycling processes in the non‐irrigated blocks subject to dry summers, but that this effect tended to become positive at higher soil water availability in irrigated plots. These results put forth that soil water availability could influence potential tree species mixing effects on soil organic N cycling processes in dry conditions.Highlights Tree species (with different litter C:N ratios) had little effect on protein depolymerisation Increasing water availability via irrigation accelerated depolymerisation rates No interactive effect between tree species mixing and water availability, although trends emerged Positive trend of mixing under high water availability and negative trend under low water

Использование мобильных IT-приложений для решения задач водопользования на внутрихозяйственной оросительной сети

Purpose: to demonstrate the possibilities and relevance of using the special tools of IT support, focused on their use as part of mobile computer tools and gadgets, for solving the problems of water use planning on an on-farm irrigation network. Materials and methods. The methodology for solving the goal included: determining the water supply regimes for each irrigated field according to the planned irrigation regimes for agricultural crops, coordinating water supply schedules for irrigated fields with the technical and operational functionalities of the irrigated area, calculating the indicators of the water use plan in accordance with the specified requirements. As an object for which the calculations were performed, the project of one of the irrigated plots of Ipatovsky district of the Stavropol Territory was used. The basis of the used IT support tools was the authors’ development, implemented on the basis of widely available and popular software apps. Results. Algorithmic and software support for computer applications that ensure operation as part of mobile IT tools has been developed. An example of the calculation of an on-farm water use plan for the initial irrigated area using the developed mobile IT applications is given, demonstrating the efficiency of their application. Conclusions. The conducted studies have confirmed the relevance of the use of computer applications oriented for using as part of widely available and relatively inexpensive mobile IT tools. It is noted that due to the uniqueness of most reclamation facilities, these applications should provide for relatively simple and prompt adaptation to these facilities, as well as information compatibility with other IT support tools used in the production process.

ОЦЕНКА МИНЕРАЛИЗАЦИИ ДРЕНАЖНОГО СТОКА С ОРОШАЕМЫХ УГОДИЙ ОТНОСИТЕЛЬНО ФОНОВОЙ КОНЦЕНТРАЦИИ В ВОДЕ ЕСТЕСТВЕННОГО ВОДОПРИЕМНИКА С ПРИМЕНЕНИЕМ ФУНКЦИИ ЖЕЛАТЕЛЬНОСТИ ХАРРИНГТОНА

Purpose: development of methodical approach to assessment of drainage runoff mineralization from irrigated lands before discharge into a natural water body using the Harrington desirability function. Materials and methods. The object of study is the drainage water intakes of the Bagaevskaya irrigation system. The subject of the study is methodology and tools for studying the wastewater mineralization. The protocols of measurements of waste and natural water samples for the 2004–2020 irrigation season, statistical reporting data on the actual discharge of substances for the 2008–2012 irrigation season were used for calculations. General scientific methods of cognition, statistical analysis tools and properties of Harrington's desirability function are used. Results and discussion. To convert empirical data, range of values of particular indicators corresponding to the general approaches used in assessing the ecological situation of territories, and the normalization principles of anthropogenic impacts were determined. A map of the spatial distribution and temporal dynamics of the desirability of drainage runoff demineralization from collector canals within the Bagaevskaya irrigation system over the observation period was constructed. It was concluded theoretically that to eliminate the negative impact of drainage flow coming from collector canals on water bodies, it is necessary to reduce the dry residue mass by 754 tons over the specified period. Conclusions. The resulting equation makes it possible to determine the degree of desirability of drainage runoff demineralization before its discharge into a water body in terms of Harrington’s desirability function. The use of Harrington method makes it possible to build a “map” of drainage runoff “pollution” distribution within the area of controlled irrigated plots, to assess the need for demineralization and to make a generalized forecast.