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The use of reclaimed water is expected to increase in the coming years, mainly in water-scarce areas. In the European Union (EU), an increase in the use of reclaimed water is expected to play a significant role within the European circular economy strategy and climate change adaptation policies with the aim to enhance overall sustainability of water resource management. While several institutions have offered estimations of the potential of reclaimed water reuse in the EU context, these estimations tend to overestimate potential reuse volumes since they fail to fully consider the following important issues: (a) the role of return flows in basins where cascade reuse is crucial in maintaining downstream uses (including ecological flows); (b) the availability of abundant (and cheaper) conventional resources; and (c) the economic productivity of water as an indicator of users' willingness to pay for reclaimed water. This study focuses on the Spanish case since this is currently the EU member state with the highest potential for reclaimed water reuse. Findings show that previous estimations of reusable water volumes in Spain may have overestimated potential volumes. The proposed analysis can be extrapolated to other EU regions, where realistic estimations of the potential of reclaimed water might be much needed. [ABSTRACT FROM AUTHOR]

Jojoba (Simmondsia chinensis) is cultivated for its seeds, which contain a high-value liquid wax. There is little known regarding irrigation requirements of intensively cultivated jojoba. The project's objectives were to evaluate the effects of irrigation regime on water status, growth, yield, and water productivity (WP, wax yield per unit of water applied) of intensely cultivated jojoba. An experiment was conducted over six years in a 14-year-old commercial plantation in Israel's Northern Negev Desert. Treatments included: Control irrigation according to best commercial practice of returning reference evapotranspiration multiplied by a crop coefficient (Kc) of 0.5; Low irrigation providing 75% (Kc = 0.375) of the control; High irrigation providing 125% (Kc = 0.625) of the control; Regulated deficit irrigation (RDI) according to the control treatment, terminated for one to two months, after the wax accumulation stage. Stem water potential (SWP) consistently indicated jojoba water status. Increasing water application from − 25% to the control and further to + 25% led to augmented vegetative growth and number of seeds, but yield was increased at rates lower than the differences in water application by the treatments, such that WP was negatively associated. Effects on yield were limited to higher yielding 'On' years. The RDI treatment resulted in yield not different from the control and 15% higher WP, but significantly inhibited seed removal during mechanical harvesting. The results suggest commercial potential for increasing profits through water savings. Further research is needed to determine RDI regimes without detrimental effects on harvesting efficiency. [ABSTRACT FROM AUTHOR]

This study examines the efficacy of the World Bank model and the European Union Model of Irrigation Management Transfer in crafting sustainable water user associations in South India. Based on the narratives and field-based evidence retracing the implementation trajectory of institutional reforms and the subsequent forms of governance of irrigation systems in Tamil Nadu and Puducherry, this article articulates how bureaucratic mediation either perpetuates the legacy of hydraulic bureaucracy or renders post bureaucracy on record in encumbering the efficacy and sustainability of participatory irrigation management. [ABSTRACT FROM AUTHOR]

Early Southern Mesopotamia shows a complex history of expansion of (irrigated) farming in relation to urban developments and changing landscapes. As a first step to study expanding irrigated farming system, an irrigation-related agent-based model was developed to explore farm(land)s and irrigation systems in relation to decision-making processes, both of farms and their farmlands (an agriculture unit) and collective decision-making processes for irrigation system management—especially sharing water between farms. The decision-making processes include options to move farms, expand the system, or start a new system, as these would be options available for Mesopotamian farmers as well. In this text, we report how model parameters contribute to the generation of various patterns of yields and expansion of farms and system. Additionally, the Gini coefficient (based on yields) is applied to estimate levels of inequality among farmers. Our results show how (1) human decision-making determines the level of influence of and benefits for farms, as well as the overall irrigation system; (2) Gini values effectively capture the degree of inequality in yields among farms based on water availability; and (3) our model is a suitable base for further study, by incorporating additional agents into the irrigation system and expanding the spatial–temporal scales of the irrigated landscapes, to reach a more comprehensive understanding of the evolutionary dynamics of irrigation systems in Southern Mesopotamia. [ABSTRACT FROM AUTHOR]

Mal secco disease of citrus is caused by the mitosporic ascomycete fungus Plenodomus tracheiphilus (formerly Phoma tracheiphila [Petri]). Mal secco is a highly destructive vascular disease of lemon and other citrus which is presently confined to the Mediterranean basin and has a marked economic impact on the citrus industry. The fungal pathogen infects the host tree by penetrating through wounds in the roots or canopy. Infection spreads quickly into the main branches and trunk and tree mortality usually ensues. The most typical symptoms are veinal chlorosis, leaf wilt, red discoloration of the xylem and dieback of twigs and branches. Current accepted control of the disease is mainly by sanitation of infected wood, and copper application during the winter to prevent germinating spores from infecting the plant. No effective chemical control for this disease has been reported. We present a drip-irrigation protocol to protect trees and control the disease in which we apply 250 g/ha of the triazole fungicide flutriafol five times a year. Progression of disease symptoms in the treated trees was inhibited by up to 81% compared to the untreated control, thereby significantly shortening the sanitation process and making it less costly than in untreated trees. Moreover, disease symptoms became less severe as the duration of treatment increased. We have treated orchards for 3 years, and present an effective commercial protocol for the growers which will help them control Mal secco disease. [ABSTRACT FROM AUTHOR]

Green gram is an excellent pulse crop with high economic and nutritional values. Optimal water and nutrient application can boost yield, water productivity, nutrient use, energy indices, and economic gains. The field experiment comprising three irrigation schedules (one irrigation at pre-flowering, two irrigations at pre-flowering and pod formation, and three irrigations at branching, pre-flowering and pod formation stages) and four nutrient management (control, 100% recommended fertilizer (RDF), farmyard manure at 5 t ha−1, and 100% RDF + FYM at 5 t ha−1) was arranged in a split-plot design with three replications during the summer seasons of 2016 and 2017. Based on the principal component analysis technique and economic assessment of all the treatments studied, three irrigations at branching, pre-flowering and pod formation stages with the recommended fertilizer plus FYM resulted in the maximum growth, yield components, seed yield (784 kg ha−1), stover yield (2288 kg ha−1), highest NPK uptake, total output energy, net energy gain, greatest gross return (USD 749.7 ha−1), net return (USD 331.7 ha−1) and higher BCR (1.79). However, maximum crop water productivity and irrigation water productivity (0.55 and 0.96 kg m−3, respectively) were recorded with a single irrigation at pre-flowering stage in tandem with full recommended fertilizer and farmyard manure. A linear relationship was detected between seed yield and seasonal crop evapotranspiration (ETc) at different nutritional levels. Seasonal water consumtion of 178 mm corresponding to an irrigation amount of 170 mm with a yield of 620 kg ha−1 and CWP of 0.36 kg m−3 was a balance for optimum seed yield, ETc and CWP. The 0–30 cm depth of the root zone profile contributed 80–84% while the 30–60 cm depth accounted for 16–20% of total soil moisture depletion. Based on the physical and financial outputs, a three-irrigation schedule coupled with the full recommended fertilizer and manure was identified as the best management strategy for green gram production and can thus be recommended to farmers of non-saline coastal soils in eastern India. [ABSTRACT FROM AUTHOR]

Poor water resource management is a major cause of water loss and exacerbates water shortages. In order to avoid some misconceptions and misunderstandings associated with irrigation efficiency, the term real water savings (RWS) has been introduced in contrast to apparent water savings (AWS). In this study, irrigation technology interventions were evaluated in terms of return flow and water saving in the Qazvin Plain irrigation network in Iran. This was accomplished using the REWAS tool developed by FAO to evaluate the effects of technological and management interventions on the RWS at the macro level (network, basin, etc.). According to the results, switching the irrigation system from furrow to center pivot with height-regulated sprinklers (Scenario A), center pivot with height-fixed sprinklers (Scenario B), linear-move irrigation system (Scenario C), and solid-set sprinkler irrigation (Scenario D), results in RWS of 390, 383, 326, and 331 mm, respectively. In turn, as a result of applying scenarios A, B, C, and D, the AWSs at the field scale were determined to be 90%, 88%, 75%, and 76%, respectively, while the RWS at the irrigation network scale was determined to be 19%, 19%, 17%, and 18%, respectively. Due to the influence of nonrecoverable return flows, the RWS is much lower than expected. In conclusion, the RWS can only be increased by preventing nonrecoverable return flows. The assessment of RWS can assist decision-makers in choosing sustainable interventions to improve agricultural water productivity by providing insight into field flows, irrigation networks, and basin scales. [ABSTRACT FROM AUTHOR]

Water scarcity is a major challenge for faba bean production, especially in arid and semi-arid regions. This study investigated the effect of deficit irrigation and organic or bio-fertilization on faba bean yield and water use efficiency (WUE). The experiment was conducted in two consecutive winter seasons in Egypt, and the average results of the two seasons were presented because there were no significant differences between the two seasons. The experimental design was split-plot with three replicates in each season. The main plots were assigned to the amounts of irrigation water [3330 m3 ha−1 (I1), 2830 m3 ha−1 (I2), and 2330 m3 ha−1 (I3)] and the subplots were devoted to the fertilization treatments [control, humic acid (HA), fulvic acid (FA), and effective micro-organisms (EM)]. The results showed that the plant height and branch numbers were increased by 139.95 and 242.03%, respectively, for HA at irrigation treatment of I2 over the control. Adding HA increased chlorophyll and protein contents by 209.04 and 295.46%, respectively, over the control at irrigation regime of I2. Adding HA significantly increased pods number, pods weight per plant, and total green yield by 380.21, 314.51, and 420.28%, respectively, over the control. The WUE value was 4.51 kg m−3 by adding HA under deficit irrigation I2 compared to irrigation I3 (2.64 kg m−3) while the WUE value was 4.58 kg m−3 at normal irrigation (I1). Overall, the application of organic or bio-fertilizers, especially humic acid, could mitigate the negative effects of deficit irrigation and improve faba bean yield and WUE. [ABSTRACT FROM AUTHOR]

Agriculture plays a pivotal role in the economy of most countries, serving as a primary source of livelihood and sustenance. In the case of India, it occupies a substantial portion of the nation's land. This article proposes the integration of IoT (Internet of Things) and an automated irrigation system with ML/DL (Machine Learning and Deep Learning) to revolutionize agriculture. The implementation of crop monitoring through sensors not only eases the burden on farmers but also enhances crop productivity. The system, at its core, monitors crucial field parameters such as soil moisture, temperature, and humidity. Given the increasing importance of efficient water management in agriculture, this study outlines an automated irrigation system that leverages cloud computing and IoT to curtail water consumption. Its primary objective is to gather and consolidate data from diverse sources, including data generated by sensors and IoT devices. This centralized data storage approach facilitates seamless data integration from various locations and devices. Through the application of algorithms and dataset analysis, the study determines that the cultivation of "Spider" plants is more favorable when compared to other plant species. Notably, the Random Forest classifier emerged as the most accurate, achieving an impressive 94.77% accuracy rate in this project. In essence, this research endeavors to propel agriculture into a technology-driven and sustainable future, optimizing water usage and improving crop yield. [ABSTRACT FROM AUTHOR]

Peanut, as an oilseed, have high nutritional value for humans and livestock and poultry. The seed yield (SY) of peanut decreases under drought stress conditions, and the zinc (Zn) nano-fertilizer can reduce the negative impacts of water deficiency on peanut plants and improves its SY. This experiment carried out as split plot based on randomized complete block design with three replications in Astara, Iran, during the 2018 and 2019 cropping seasons. Three irrigation regimes at 50 mm (IR50), 75 mm (IR75) and 100 mm (IR100) evaporation from class A evaporation pan in main plot and three levels of Zn nano-chelate, including 0.5 g. l−1; (Zn0.5), 1 g. l−1; (Zn1) and 1.5 g. l−1; (Zn1.5) in sub plot, comprised experimental treatments. The results indicated that the highest pod yield (PY), SY, oil yield (OY) and protein yield (PRY) of peanut (3633, 2900, 1582 and 826 kg. ha−1, respectively) were obtained in response to Zn nano-chelate with a dose of 1.0 g. l−1 in IR50 treatment. Nonetheless, under foliar spraying of Zn1 and severe drought stress conditions (IR100) were observed the highest proline (14.84 µmol g−1 FW), superoxide dismutase (53.42 Unit mg−1proteinmin−1), catalase (72.87 nmol mg−1proteinmin−1), peroxidase (64.17 nmol mg−1protein min−1), soluble sugar content (172.04 mg g−1 FW), soluble protein content (114.16 mg g−1 DW) and anthocyanin pigments (11.20 µmol g−1 FW). Generally, application of Zn1 treatment, through increasing antioxidant enzymes activity and non-enzymatic antioxidants, improved peanut SY. Hence, foliar application of Zn nano-chelate could be recommended to enhance peanut yield. [ABSTRACT FROM AUTHOR]

The high irrigation water demand of coconut trees in semiarid regions makes rational use crucial for crop sustainability. Additionally, it produces residues that could improve the soil water holding capacity. This research aimed to evaluate the application of coconut shell biochar to an irrigated dwarf green coconut palm orchard. The study was carried out from January 2019 to December 2021 at Campo Experimental do Curu, Paraipaba, Brazil, belonging to Embrapa Agroindústria Tropical. The experiment consisted of a completely randomized design with five treatments and four replications and included the application of 0, 5, 10, 20, or 40 g of biochar per kg of soil, equivalent to 0.0 kg, 0.5 kg, 1.0 kg, 2.0 kg or 4.0 kg of biochar per plant, respectively. The following biometric variables were evaluated: number of leaves per plant (NL), plant height (PH), number of leaflets per leaf (LFT), canopy diameter (CD) and fruit production: number of bunches per plant (NB), number of fruits per plant (NF), volume of coconut water per fruit (CWF) and total soluble solids (TSS) (°Brix), as well as the daily soil moisture average. The results showed beneficial effects on the number of leaves per plant, fruits per plant, soil moisture and irrigation water productivity in terms of liters per fruit, liters per coconut water and fruits per cubic meter (m3) applied with ideal biochar doses estimated to be 1.40 kg, 1.72 kg, 1.79 kg, 1.56 kg, 1.48 and 1.68 kg of biochar per plant, respectively. [ABSTRACT FROM AUTHOR]

Lake Diefenbaker Irrigation Canals in Canada are crucial in providing water for irrigation, preventing droughts and floods, and supporting the Saskatchewan agriculture industry and economy. Unfortunately, filamentous algal blooms occur every summer in Lake Diefenbaker Irrigation Canals. These algae are not toxic but a nuisance. They block farmers' pumps and reduce irrigation water flow rates. Currently, the Water Security Agency periodically adds the algaecide Magnacide H. to control the algal blooms, which is costly (i.e., one million dollars per year for the Lake Diefenbaker M1 Irrigation Canal only) and requires effort to dewater the canal to protect fish. Therefore, algae removal before the canal water enters farmer's pumps might be a cost-effective alternative, especially the removal of microalgae during the initial stages of growth in June of each year. This paper has summarized and evaluated algae removal technologies, considering their advantages, disadvantages, and potential solutions for addressing the challenges and limitations associated with these technologies. Five algae removal technologies were identified as promising, which are suspended air flotation (SAF), dissolved air flotation (DAF), hydrodynamic cavitation, spiral blade centrifuge, and coagulation. Among them, SAF seems the most suitable option, while DAF and hydrodynamic cavitation offer eco-friendly advantages. Further research and pilot testing are needed to determine the costeffective and feasible algae removal technology for Lake Diefenbaker Irrigation Canals. [ABSTRACT FROM AUTHOR]

In today's society, keeping our gardens attractive is complex, especially if you need more time to care for them. This can cause the plant to wilt if it is not watered occasionally to keep the soil moist. In summer, this problem tends to get worse because the temperature tends to rise and reach high degrees. The objective is to design an automatic and manual irrigation system with a humidity detector through hardware programming and free software to solve this. The necessary components will be identified and selected, humidity thresholds will be established, and the adoption of technologies such as internet of things (IoT), Arduino, and humidity sensors will be promoted to solve the problem in automated irrigation systems. The technical specifications of the components are described, and the circuit design is presented. A programming algorithm will be developed to control the frequency and duration of irrigation, as well as the state of the water pump. Implementing the automated system will allow precise water supply control, contributing to the healthy growth of plants and crops in green areas. [ABSTRACT FROM AUTHOR]

A 3-year experiment was established in which four wheat classes were evaluated including soft, medium hard, hard and durum wheat with the objective to determine which class is more efficient in water use under reduced irrigation. The experiments were established during three growing seasons (2016–2018). The amount of water applied were: 26, 34 and 54 cm distributed in 2, 3 and 5 irrigations, respectively. Eighteen genotypes from each wheat class were evaluated in an alpha lattice design with three replicates. Phenological data, yield and yield components were analyzed. Yield in the two-irrigation regime ranged from 3974 to 5436, 4453 to 6909 under three and 6177 to 9107 kg ha−1 under five. Correlation analysis showed that with two irrigations there is a greater association of grain yield with thousand kernel weight (TKW), but under three and five irrigations, grain yield was associated to a greater degree with kernel number per unit area (KNO). When analyzing the grain yield, it was observed that under reduced irrigation (2 and 3 irrigations), bread wheats were superior to durum wheats regardless of the class. Under five irrigations, durum wheats showed the highest yield (8303 kg ha−1); however, they were only significantly superior (Tukey ≤ 0.05) to the hard wheats (7721 kg ha−1). In general, the tested wheats showed higher water efficiency (considered as water productivity) under reduced irrigation than under normal irrigation. The lowest losses in water productivity when going from two to five irrigations were observed in durum wheats (0.17 kg m−3) and the highest losses in the hard wheats (0.38 kg m−3). [ABSTRACT FROM AUTHOR]

Water governance demands multi-sector participation beyond the state; and, appropriate laws, policies, regulations, and institutions need to be developed and put in place for sustainable use of water resources. A good water policy, a critical and integral instrument of water governance, guides water use schemes and ensures equitable water distribution among users. The Ethiopian Central Rift Valley (CRV) is rich in water resources, but these water resources are currently under severe strain owing to an imbalance in human-water interactions. This study examined the state of water resources governance framework, policy coherence, actors' engagement and transparency, accountability, and participation in irrigation water supply in the CRV of Ethiopia. Key informant interviews (KII), focused group discussions, and document reviews were used to gather data for the study. The NVivo 11 program was used to organize, code, and analyze the data. The results revealed that water resources governance practices such as water allocation and apportionment, water resources protection, and conservation activities were inappropriately exercised. Water resources management policy mechanisms were not fully put in place. Lack of coherence in water policy implementation, absence of clear roles and responsibilities of stakeholders, absence of transparency and accountability in irrigation water service delivery, and lack of meaningful participation of key actors in water governance decision-making were observed. As a result, over-abstraction, deterioration of buffer zone areas, and chemical erosion from surrounding farming are attributed to the reduction in water volume and quality in the CRV. These challenges have influenced aquatic ecosystem services and threaten the livelihoods of the surrounding communities. Hence, reforms relating to policy coherence and enforcement, stakeholder engagement, water distribution strategies, and the implementation of water governance principles must be given adequate emphasis. [ABSTRACT FROM AUTHOR]

Effective irrigation planning is crucial for sustainable agricultural development and ecosystem restoration projects in arid regions. With respect to ambitious greening initiatives, Saudi Arabia is establishing a national strategy toward a more sustainable and eco-friendly future not only for itself but also for the broader Middle East region. Thus, comprehensively understanding the water cycle in the region is essential to identify the most suitable target locations for afforestation and reforestation while considering the potential role of irrigation. Herein, in addition to traditional pedoclimatic factors, we introduce a complementary consideration—“irrigation recycling.” Building on the well-established concept of atmospheric moisture recycling and taking advantage from an atmospheric trajectory dataset, we track the path of evaporated water from current or potential irrigated sites to the location where the evaporated water eventually falls as precipitation. Our analysis offers two key benefits. First, it helps pinpoint the regions in which and the periods during which water recycling is maximum within the country, aiding more precise calculations of the investment return value for irrigation infrastructures. Second, it helps identify the land-use change patterns that contribute to international efforts such as drought mitigation in East Africa as an example. We found that one-third of the actual precipitation in the current Saudi irrigated sites originated from evapotranspiration over land, mainly from Saudi Arabia and surrounding countries. Interestingly, most of the evapotranspiration from these irrigated sites will eventually fall somewhere over land (primarily in Iran). Controlling the seasonality and spatial distribution of the future irrigation expansion will allow controlling the atmospheric moisture recirculation in Saudi Arabia and nearby drought-prone regions such as Eastern Africa. The outcomes of this study will be the subject of future integrated assessments to account for the climatic feedbacks of the land-use change scenarios. At present, they provide crucial insights to support the decision-making process surrounding the Saudi and Middle East Green Initiatives. Further, the presented methodology offers a pragmatic framework that can be applied to similar greening projects for other regions, making it a viable and valuable approach for global sustainability programs. [ABSTRACT FROM AUTHOR]

The soybean industry in Canada is seeking opportunities to expand cultivation due to economic and environmental benefits of growing soybean. Climate projections indicate that soybean expansion into Saskatchewan would be possible with the increases in the available crop heat units under a future warmer climate; however, crop water availability could limit yields. Using a crop growth model, we simulated soybean yields within the Canadian Regional Agricultural Model regions in Saskatchewan for the near-term (2030s), mid-term (2050s), and distant future (2070s) periods under different climate scenarios. Soybean yields were simulated without water stress (potential yield), with water stress (rainfed yield), and under full and partial irrigation scenarios. Irrigation water needs were estimated under the irrigation scenarios and irrigation water availability was discussed. Our results suggest that reasonable and likely more profitable yields (∼2000–2500 kg ha−1) can be achieved under rainfed conditions in the Black soil zone neighbouring Manitoba but soybean production would be less favourable in the Dark Brown soil zone and least favourable in the Brown soil zone. Northeastern regions in the Black soil zone were found to be suitable for growing soybean cultivars in the maturity group (MG) 0 in the distant future and MG 00 in the mid-term under the medium–high greenhouse gas emission scenarios. Soybean would still not be suitable in the northwestern region. Our results indicate that regions in central Saskatchewan requiring 120–170 mm of irrigation are more likely to benefit from the proposed Lake Diefenbaker Irrigation Projects in the future. [ABSTRACT FROM AUTHOR]

Water pollution is a major concern for a decaying river. Polluted water reduces ecosystem services and human use of rivers. Therefore, the present study aims to assess the irrigation suitability of the Jalangi River water. A total of 34 pre-selected water samples were gathered from the source to the sink of the Jalangi River with an interval of 10 km and one secondary station's data from February 2012 to January 2022 were used for this purpose. The Piper diagram exhibits that the Jalangi River water is Na+–HCO3− types, and the alkaline earth (Ca2+ + Mg2+) outperforms alkalises (Na+ + K+) and weak acids (HCO3− + CO32−) outperform strong acids (Cl− + SO42−). SAR values ranging from 0.35 to 0.64 show that water is suitable for irrigation and poses no sodicity risks. The %Na results show that 91.18% of water samples are good and acceptable for irrigation. RSC levels indicate a significant alkalinity hazard, with 94.12% of samples considered inappropriate for irrigation. PI findings show that 91.18% of water samples are suitable for irrigation. Apart from the spatial water samples, seasonal water samples exhibit a wide variations as per the nature of irrigation hazards. Gibbs plot demonstrates that the weathering of rocks determined the hydro-chemical evolution of Jalangi River water. This study identifies very little evaporation dominance for pre- and post-monsoon water. The analysis of variance (ANOVA) test illustrates that there are no spatial variations in water quality while seasonal variations are widely noted (p < 0.05). The results also revealed that river water for irrigation during monsoon is suitable compared to the pre-monsoon season. Anthropogenic interventions including riverbed agriculture, and the discharge of untreated sewage from urban areas are playing a crucial role in deteriorating the water quality of the river, which needs substantial attention from the various stakeholders in a participatory, and sustainable manner. [ABSTRACT FROM AUTHOR]

The purpose of this study was to evaluate the efficacy of different techniques in removing calcium silicate intracanal medicament (Bio-C Temp). Forty human single-canaled premolars were randomly distributed into five groups (n = 8). All root canals were instrumented, then filled with Bio-C Temp. Following 1-week incubation, the intra-canal medicament was removed using one of five techniques according to tooth group: conventional syringe irrigation, Endo Activator, passive ultrasonic irrigation (PUI), ProTaper Universal F3 and XP-endo Finisher (XPF). Micro-CT scanning was performed before and after removal of Bio-C Temp. All techniques significantly reduced the volume of Bio-C Temp (p < 0.001) without reaching complete elimination. The percentage of Bio-C Temp removed was significantly higher in the XPF group (98.2%) compared to conventional syringe irrigation (70.6%), the Endo Activator (75.7%), and the ProTaper Universal (76.6%). There was no significant difference between the XPF and PUI (95.1%) groups. None of the removal techniques were able to completely remove Bio-C Temp from the root canal. However, XPF was the most effective method, but was not statistically significant when compared to PUI. Clinical Relevance: This study demonstrated that both XPF and PUI outperform conventional irrigation in removing Bio-C Temp intracanal medicament. [ABSTRACT FROM AUTHOR]

Improving drought resistance in Zoysiagrass (Zoysia spp.) is a target for both private and public breeding programs. The performance of 26 elite experimental zoysiagrasses was compared under progressive drought stress with Palisades, Diamond, and Zeon. Environmental conditions were warmer and drier in 2020 (66 days) than 2021 (45 days). Irrigation was applied once weekly using potential evapotranspiration (ETo) rates and crop coefficients (Kc) of 0.6 (non‐stress), or 0.40, 0.30, and 0.25 deficit treatments. Turfgrass quality, leaf wilt, normalized difference vegetative index, normalized difference red edge, and volumetric water content were recorded weekly. Genotypes with the highest means (statistical “a” group) contributed to a turfgrass performance index (TPI). Elite zoysiagrass with TPI ≥ Palisades (19) were Zoysia japonica Steud. ecotypes DALZ 1311 (22), 1601 (19), and 1603 (21), and finer textured interspecific hybrids, DALZ 1701 (18), 1713 (26), 1714 (18), and 1801 (24). Relative to an irrigation schedule using a 0.6 Kc, these genotypes survived extreme deficit irrigation, which conserved 40.1% (45,859.6 L) and 66.4% (44, 592.2 L) of water in 2020 and 2021, respectively. Overall, this study demonstrated that significant water consumption could be reduced with proper cultivar selection and deficit‐based irrigation management while maintaining an acceptable turfgrass quality under drought conditions. [ABSTRACT FROM AUTHOR]

BACKGROUND: The treatment for bacterial biofilms after internal fixation surgery is a very difficult problem in clinic. It is a great significance to establish an animal model of irrigation for treating bacterial biofilms in the early stage after internal fixation surgery. OBJECTIVE: To establish an animal model for treating bacterial biofilms with different drugs through irrigation in early stage after internal fixation surgery. METHODS: Six New Zealand white rabbits were selected. Bilateral femoral surfaces were exposed and drilled holes were made, and bone plates colonized with Pseudomonas aeruginosa (experimental group) and blank bone plates (blank control group) were implanted around the drilled holes on one side, and two drainage tubes were retained and fixed to serve as the “inlet” and “outlet,” respectively. The model was immersed for a certain period of time after simulated perfusion before rinsing. After the simulated irrigation, the plates were soaked for a certain time before washing. At 5 days postoperatively, the rabbits were observed for body temperature, wound condition, bacterial culture of drainage fluid, and crystalline violet staining and scanning electron microscopy of the bone plate. RESULTS AND CONCLUSION: Six rabbits had difficulty in moving the affected limbs after surgery and showed elevated body temperature at 2-4 days after surgery. Local swelling could be touched at some wounds in the experimental group, and the wounds in the blank control group healed well. The results of bacterial culture of drainage fluid showed that Pseudomonas aeruginosa diffused or spread in the experimental group. At 5 days after surgery, the plate in the experimental group became purple shown by crystalline violet staining, and the absorbance value at 570 nm detected by the microplate reader was 2.621±0.088, indicating the presence of bacteria. Scanning electron microscopy at 5 days after surgery showed that a large number of bacterial microcolonies appeared on the surface of the plate in the experimental group, forming a highly inhomogeneous three-dimensional structure similar to the “mushroom-like” and “tower-like” structures, with filamentous water channels connecting the “mushroom-like” structures, which were typical biofilm structures with high densities, while no obvious colonies were seen in the blank control group. Overall, this animal model simulates the state of infected biofilm formation due to early infection after internal fixation and provides an available method of irrigation with different drugs. [ABSTRACT FROM AUTHOR]

Brazil, a leading rice producer globally, faces challenges in systematically mapping its diverse rice fields due to varying cropping systems, climates, and planting calendars. Existing rice mapping methods often rely on complex techniques like deep learning or microwave imagery, posing limitations for large-scale mapping. This study proposes a novel approach utilizing Sentinel-2 spectral–temporal metrics (STMs) in conjunction with a random forest classifier for rice paddy mapping. By extracting diverse STMs and training both regional and global classifiers, we validated the method across independent areas. While regional models tended to overestimate rice areas, the global model effectively reduced discrepancies between our data and the reference maps, achieving an overall classifier accuracy exceeding 80%. Despite the need for further refinement to address confusion with other crops, STM exhibits promise for national-scale rice paddy mapping in Brazil. [ABSTRACT FROM AUTHOR]

The Haihe Plain has made a great contribution to national food security in the world. The stable production of grain crops can rely mainly on groundwater extraction for irrigation, thus leading to the overexploitation of groundwater in the region. Additionally, the ever-increasing global climate can also threaten water resources and food production. Deficit irrigation can be expected to serve as a water-saving technique under current climate conditions, in order to significantly improve water use efficiency. However, much more irrigation water can be required to fully meet the normal growth needs of crops, particularly with the general increase in temperatures. It is a high demand to quantitatively assess the changes in crop water use and crop yields under future climate scenarios. Adaption irrigation can be used to explore climate change for the sustainable development of agriculture in the major food-producing regions with scarce water resources. In this study, an enhanced SWAT model was combined with the multiple General Circulation Models (GCMs) from CMIP6, in order to simulate the climate and irrigation scenarios. The improved SWAT model included some enhancements in two aspects: one was an automatic irrigation using MAD (Management Allowed Depletion), and another was the dynamic CO2 input. Additionally, three Shared Socioeconomic Pathways (SSPs) were selected, namely SSP1-2.6, SSP2-4.5, and SSP5-8.5. Firstly, the enhanced SWAT model and multiple GCMs were applied to simulate the actual evapotranspiration (ETa), irrigation, net groundwater use (NGU), and crop yields under the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios in the future period (2041-2070). Furthermore, the appropriate irrigation strategies were explored for the future scenarios of climate change. The results showed that: (1) Annual ETa increased by 5.5%, whereas, the annual irrigation and NGU decreased by 5.9% and 25.8%, respectively, in the future period, compared with the historical period (1971-2000); Under the SSP5-8.5 emission, the annual ETa increased the least, whereas, the annual irrigation and NGU decreased the most. (2) The winter wheat and summer maize yield increased by 14.3% and 6.5%, respectively; There was the declined yield of summer maize under the greenhouse gas emission scenario. (3) In the future climate, the appropriate schedule of irrigation was achieved in the jointing stage of winter wheat with the rainfed summer maize, indicating the maximum groundwater recovery. In food security, it is recommended irrigation during the jointing and filling stages of winter wheat with the rainfed summer maize. (4) In terms of grain production and groundwater resource recovery, the irrigation strategies can be recommended to vary among different zones. In Baoding, Shijiazhuang, Xingtai, and Hengshui zones, irrigation can be applied during both the jointing and filling stages. In the Handan zone, irrigation can be recommended only during the jointing stage, while in the Langfang zone, it should be during the filling stage. Finally, irrigation can be advised before winter and during the filling stage of winter wheat in the Cangzhou zone. The findings can provide for the rational planning of regional agricultural water resources and sustainable food production. [ABSTRACT FROM AUTHOR]

Water scarcity and droughts are among the most challenging issues worldwide, particularly in arid and semi-arid regions like Saudi Arabia. Date palm (Phoenix dactylifera L.), a major crop in Saudi Arabia, is being significantly affected by water scarcity, soil salinity, and desertification. Alternative water sources are needed to conserve freshwater resources and increase date palm production in Saudi Arabia. On the other hand, Saudi Arabia has a significant number of aquaculture farms that generate substantial amounts of wastewater, which can be utilized as an alternative source of irrigation. Therefore, this study aimed to assess the potential of aquaculture wastewater as an alternative irrigation source for date palm orchards. Aquaculture wastewater was collected from 12 different farms (Al-Kharj, Al-Muzahmiya, and Al-Qassim regions, Saudi Arabia) and its quality was analyzed. The impacts of aquaculture wastewater irrigation on soil quality, nutrient availability, nutrient status of date palm trees, and dates fruit quality were assessed in comparison to source water (freshwater) irrigation at Al-Kharj, Al-Muzahmiya, and Al-Qassim regions. The water quality analyses showed higher salinity (EC = 3.31 dSm−1) in farm Q3, while all other farms demonstrated no salinity, sodicity, or alkalinity hazards. Moreover, the aquaculture wastewater irrigation increased soil available P, K, NO3−–N, and NH4+–N by 49.31%, 21.11%, 33.62%, and 52.31%, respectively, compared to source water irrigation. On average, date palm fruit weight, length, and moisture contents increased by 26%, 23%, and 43% under aquaculture wastewater irrigation compared to source water irrigation. Further, P, K, Fe, Cu, and Zn contents in date palm leaf were increased by 19.35%, 34.17%, 37.36%, 38.24%, and 45.29%, respectively, under aquaculture wastewater irrigation compared to source water irrigation. Overall, aquaculture wastewater irrigation significantly enhanced date palm plant growth, date palm fruit quality, and soil available nutrients compared to freshwater irrigation. It was concluded that aquaculture wastewater can be used as an effective irrigation source for date palm farms as it enhances soil nutrient availability, date palm growth, and date fruit yield and quality. The findings of this study suggest that aquaculture wastewater could be a viable alternative for conserving freshwater resources and increase date palm production in Saudi Arabia. [ABSTRACT FROM AUTHOR]

Aim Methodology Results Conclusions To evaluate the 6‐year outcome of root canal treatment irrigated with 0.5% or 3% sodium hypochlorite (NaOCl).The baseline trial was designed as a quasi‐randomized clinical trial. Patients referred for root canal treatment to an endodontic specialist clinic were recruited to the study (n = 298). The concentration of NaOCl was allocated quasi‐randomized to 271 subjects (0.5% [n = 139], 3% [n = 132]). Bacterial sampling was performed immediately before root canal filling. Samples were cultured and evaluated as growth or no growth. Patients were invited to a clinical and radiological follow‐up >5 years postoperatively. The clinical outcome measurements were tooth survival, cumulative incidence of endodontic retreatments, patients' assessment of pain, clinical findings and radiological signs of apical periodontitis (AP).Tooth survival was 85.6% in the 0.5% NaOCl group and 81.1% in the 3% NaOCl group (p = .45). There was no record of retreatment in 94.4% in the 0.5% NaOCl group and in 92.2% in the 3% NaOCl group (p = .76). The percentage of asymptomatic cases were 87.8% in the 0.5% group and 85.3% in the 3% NaOCl group (p = .81). Absence of clinical signs of AP was seen in 86.6% in the 0.5% NaOCl group and in 83.6% in the 3% NaOCl group (p = .80). Absence of radiological signs of AP was seen in 74.0% in the 0.5% NaOCl group and 64.1% in the 3% NaOCl group (p = .20). Subjects with positive culture before root filling reported subjective pain with a significantly higher frequency as compared to negative‐culture subjects (p = .014).The use of 0.5% or 3% NaOCl for irrigation during root canal treatment resulted in similar clinical outcomes 5–7 years postoperatively. Persisting bacteria immediately before root filling may predict future episodes of subjective pain. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) has been impacting multiple industries worldwide for over a decade. However, less developed countries have yet to make the transition to these technologies. South America is among the regions with the least IoT influence in all sectors, indicating a need for studies to explore IoT acceptance among various users in this region. This study analyzes two different users of a monitoring and irrigation system for strawberry (Fragaria × ananassa) farming. Monitored variables include soil moisture, and ambient temperature and humidity, with irrigation performed via water pumping from a reservoir. The system is based on the M5Core2 development kit for the local station and the IoT platform ThingSpeak for remote access. It features a web user interface consisting of an application developed in HTML using a plugin on ThingSpeak. Thus, the system can be used locally via a touchscreen and remotely through a web browser. Measurements are cross-verified with commercial meters to ensure their reliability, and users are asked to fill out a Technology Acceptance Model (TAM) for IoT to gauge their acceptance level. Additionally, an interview is conducted that explores four critical factors, aimed at understanding their experience and interaction with the system after a period of usage. The findings confirm the validity of the monitored variables and demonstrate a global acceptance rate of slightly over 80%, albeit with varying user acceptance perspectives. Specifically, the technical user exhibits greater acceptance than the crop administrator, evidenced by a mean discrepancy of 1.85 points on the TAM scale. [ABSTRACT FROM AUTHOR]

Antimicrobial resistance (AMR) has become a world-wide health issue, and anthropogenic antibiotics entering the environment is cause for concern with regard to impacts on environmental bacteria. As water resources have become scarcer, reuse of wastewater treatment plant (WWTP) effluent has increased, creating a conduit for environmental antibiotic pollution. The aim of this study was to determine the impact of spray-irrigating effluent on the incidence of AMR in soil organisms in agricultural lands (Astronomy Site, Pennsylvania State University). This study performed culture work to assess resistance of Gram-negative and Gram-positive soil bacteria to four antibiotics (sulfamethoxazole, trimethoprim, ciprofloxacin, and ampicillin) and molecular work (qPCR) to quantify genes associated with AMR (sulI, sulII, ermB, and intI1). Compared to a control site, Gram-negative bacteria at the Astronomy Site appeared to have increased resistance to sulfamethoxazole and trimethoprim. Higher numbers of resistance genes by depth (below 35 cm) and by location were consistently observed at the Astronomy Site with copy numbers of some genes up to 106-fold higher than the control site. Increased quantities of sulI and intI1 in the top 0–5 cm of the soil profile appeared to be dependent upon the amount of effluent irrigation received, whereas the presence of sulII and ermB showed the opposite patterns. Overall, long-term reuse of WWTP effluent to spray irrigate cropped lands does appear to alter and possibly increase AMR in soil environments; however, additional work is necessary to determine potential impacts on human, wildlife, plant, and soil health. [ABSTRACT FROM AUTHOR]

Climate change is making water management increasingly difficult due to rising temperatures and unpredictable rainfall patterns, impacting crop water availability and irrigation needs. This study investigated the ability of machine learning and satellite remote sensing to monitor water status and physiology. The research focused on predicting different eco-physiological parameters in an irrigated peach orchard under Mediterranean conditions, utilizing multispectral reflectance data and machine learning algorithms (extreme gradient boosting, random forest, support vector regressor); ground data were acquired from 2021 to 2023 in the south of Italy. The random forest model outperformed in predicting net assimilation (R2 = 0.61), while the support vector machine performed best in predicting electron transport rate (R2 = 0.57), Fv/Fm ratio (R2 = 0.66) and stomatal conductance (R2 = 0.56). Random forest also proved to be the most effective in predicting stem water potential (R2 = 0.62). These findings highlighted the potential of integrating machine learning techniques with high-resolution satellite imagery to assist farmers in monitoring crop health and optimizing irrigation practices, thereby addressing the challenges determined by climate change. [ABSTRACT FROM AUTHOR]

Climate change poses significant challenges to the grapevine cultivation for wine production. In the last years, the occurrence of extreme weather events such as intense heat waves and prolonged period of drought increased sunburn damage with negative consequences to yield and berry composition. Short-term adaptation strategies are urgently needed to mitigate these effects. In this light, our study aimed to evaluate the efficacy of zeolite application on the canopy and irrigation during ripening on sunburn damage, yield, and berry composition in cv. Sangiovese (Vitis vinifera L.). Over 3 years (2021-2023), canopy management and irrigation treatments were arranged in a strip-plot design. Canopy management treatments included leaf removal on the cluster zone, with and without zeolite application, and no defoliated control; irrigation treatments comprised irrigation from berry softening and no irrigation. Both zeolite application and irrigation reduced sunburn damage, thus mitigating yield loss. Regarding berry composition, zeolite application did not alter the main parameters whereas irrigation led to reductions in sugar and anthocyanin concentrations. These findings suggest that zeolite application and irrigation during ripening represent promising and cost-effective solutions for grape growers facing climate changeinduced challenges. However, further studies are necessary to optimize timing of irrigation to avoid detrimental effects on anthocyanin accumulation. [ABSTRACT FROM AUTHOR]

Background Results Conclusion Maize, wheat, rice and soybean production are intimately linked to food security. Identifying the key factors affecting crop yields and determining the countries where increased irrigation and nitrogen application most effectively enhance yields are essential steps towards achieving sustainable development goals and ensuring food security. Identifying these areas is crucially dependent on yield gaps. However, the lack of comparability between different regions in current regional‐scale yield gap studies stems from varied methodologies. Moreover, global yield gap research, relying on statistical models and regression methods, tends to neglect the crop growth process. In this study, we used a random forest model, based on statistical and meteorological data, to pinpoint the key factors influencing crop yields. Subsequently, using unified yield data from the Inter‐Sectoral Impact Model Intercomparison Project (ISIMIP), derived from crop models simulations, we applied the yield gap method to calculate the potential yield increase for four crops across countries, under conditions of full irrigation and nitrogen application.Our research finds that nitrogen application is the main factor affecting yields globally, while irrigation plays a crucial role in the major producing countries. The countries with high potential for yield increases are located at the border between Africa and Eurasia. The global average yield of the four major crops increased 13.7–29.8% under full irrigation, 2.9–39.1% under full nitrogen application and 29.4–97.8% under both conditions.This study provides crucial insights into global crop yield changes and their determinants, which are highly important for global sustainable agriculture and food security efforts. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

The water use practices in Menz Mama Midir woreda are very traditional and inefficient. To lessen this problem, water pricing (valuation) has been considered to be a promising tool. This study, therefore, examined smallholder farmers' willingness to pay and determinants affecting their decisions to pay for improved irrigation water use in Menz Mama woreda, North Shewa zone, Amhara national regional state of Ethiopia. Cross-sectional data collected from 215 randomly sampled irrigation beneficiaries were used for analysis. The mean WTP from double bounded dichotomous elicitation method ranges from 164.027 Birr (4.17 USD) to 221.059 Birr (5.62 USD) per year per hectare of irrigable land. The result from the seemingly unrelated bivariate probit model estimation revealed that the sex of the household head, total annual farm income, size of irrigable landholdings of the household, frequency of extension contacts, amount of credit, and dissatisfaction with the existing irrigation service positively and significantly influenced farmers' WTP decisions. In contrast, off-farm income and bid values were negatively related to WTP decisions. Therefore, the aforementioned factors affecting farmers' decisions to pay should be taken into consideration when constructing irrigation schemes in the study area and areas with similar economic and socio-cultural settings. [ABSTRACT FROM AUTHOR]

Lessons learned from past experiences push for an alternate way of crop production. In India, adopting high density planting system (HDPS) to boost cotton yield is becoming a growing trend. HDPS has recently been considered a replacement for the current Indian production system. It is also suitable for mechanical harvesting, which reducing labour costs, increasing input use efficiency, timely harvesting timely, maintaining cotton quality, and offering the potential to increase productivity and profitability. This technology has become widespread in globally cotton growing regions. Water management is critical for the success of high density cotton planting. Due to the problem of freshwater availability, more crops should be produced per drop of water. In the high-density planting system, optimum water application is essential to control excessive vegetative growth and improve the translocation of photoassimilates to reproductive organs. Deficit irrigation is a tool to save water without compromising yield. At the same time, it consumes less water than the normal evapotranspiration of crops. This review comprehensively documents the importance of growing cotton under a high-density planting system with deficit irrigation. Based on the current research and combined with cotton production reality, this review discusses the application and future development of deficit irrigation, which may provide theoretical guidance for the sustainable advancement of cotton planting systems. [ABSTRACT FROM AUTHOR]

Nitrogen (N) fertilization plays a pivotal role in the nitrogen transport process and yield formation of field-grown Tibetan barley (Hordeum vulgare L., qingke in Chinese); however, little is known about its interaction with irrigation regimes. Here, we performed a control experiment to investigate the effects of irrigation regimes (primary irrigation and double irrigation, mentioned as W1 and W2) and N levels (0, 90, 120, and 150 kg ha−1, mentioned as N0, N9, N12, and N15) on the nitrogen accumulation, translocation, and utilization of Tibetan barley in the Tibetan Plateau during the spring barley seasons in 2022. The results showed that the highest yield (6242.28 kg ha−1) and aboveground biomass (12,354.13 kg ha−1 for anthesis; 15,827.9 kg ha−1 for maturity) were achieved in W2N15 as compared to other treatments. The maximum grain N accumulation (117.66 kg ha−1), the N translocation (54.16 kg ha−1), and the post-anthesis N accumulation (63.5 kg ha−1) were achieved in the W1N15 treatment. The N utilization efficiency increased with irrigation frequency and decreased with N application; however, the conclusion given by the N agronomic efficiency is contrary to this trend. The grain yield had significant positive correlations with the grain N accumulation (W1: r = 0.98; W2: r = 0.97) and N translocation (W1: r = 0.84; W2: r = 0.94), but significant negative correlations with the N harvest index (W1: r = −0.95; W2: r = −0.95) and N utilization efficiency (W1: r = −0.9; W2: r = −0.85). The path analysis revealed that the factors related to N utilization (β = 0.875) and the factors related to N translocation (β = −1.426) were the significant direct contributors towards grain yield. The influence of N application (total effect = 0.922) on the grain yield was much stronger than that of the irrigation regime (total effect = 0.324). Our findings can guide future efforts in designing sustainable water and N fertilizer management strategies for Tibetan barley in the Tibetan Plateau. [ABSTRACT FROM AUTHOR]

Under the background of the worsening global food and water crisis, efficient agricultural practices have become increasingly important. This study investigated the impact of different irrigation and cultivation modes on rice growth parameters, gas exchange, rice yield components, and water footprints in Jiangsu, China. Four treatments were employed in a randomized complete block design with three replications: (i) transplanted rice with frequent shallow irrigation (T-FSI), (ii) transplanted rice with rain-catching and controlled irrigation (T-RCCI), (iii) direct-seeded rice with frequent shallow irrigation (D-FSI), (iv) and direct-seeded rice with rain-catching and controlled irrigation (D-RCCI). The results revealed that the D-RCCI treatment significantly improved growth and physiological parameters. The D-FSI treatment drastically increased rice yield whereas T-RCCI increased the stem bending resistance and reduced lodging risk. The water footprint analysis showed significant water savings by optimized management practices. Compared to T-FSI, the T-RCCI, D-FSI, and D-RCCI treatments reduced the blue-green water footprint by 33%, 25%, and 25%, respectively. Additionally, water production efficiency increased by 13%, 106%, and 154% for T-RCCI, D-FSI, and D-RCCI respectively. The water footprint per unit yield of T-RCCI, D-FSI, and D-RCCI treatments was significantly reduced by 12%, 5,3%, and 63% compared to T-FSI. Overall, D-RCCI is the optimal strategy for rice cultivation in Jiangsu province and similar climatic areas due to its positive impact on yield, water savings, and environmental benefits. [ABSTRACT FROM AUTHOR]

Arbuscular mycorrhizal fungi (AMF) play a crucial role in the resilience of plants subjected to water deficit. The objective of this study was to evaluate the impact of AMF from a semi-arid and humid ecosystem, applied as inocula (two monospecific and two consortia), and three irrigation doses (100%, 85%, and 70%) on tomato plant growth. A factorial experiment in a completely randomized design was used. Colonization with monospecific inocula (EH and ES) showed contrasting differences at 85% and 100% irrigation rates. With gradually increasing irrigation rates, colonization decreased with the CH consortium, while the CS consortium showed similar colonization levels at all three irrigation rates. AMF from humid environments (monospecific or in a consortium) did not affect equatorial diameter when the irrigation rate was reduced by 15%, while polar diameter was similar at all three irrigation rates. Inocula from the semi-arid ecosystem promoted the greatest equatorial and polar diameters at the 100% irrigation dose. The monospecific inoculum of C. etunicatum (ES) showed great potential to promote plant growth and development at the 100% irrigation dose and could be a biotechnological tool to improve tomato yield under conditions similar to those of this study. [ABSTRACT FROM AUTHOR]

Tackling nutrition insecurity remains a critical challenge in developing countries. In the predominantly rain‐fed and smallholder‐based farming systems of Ethiopia, production diversity and livelihood strategies of the farm households vary across geographic areas. However, the effects of household socioeconomic characteristics, production diversity, and household incomes on nutrition profiles in distinct settings have been inadequately understood. Therefore, this study was undertaken to examine the association of farming system type, sources of income, and household wealth status with household nutrition profiles in three remote locations such as Mennisa, Welmel Tiqa, and Agam Wuha that represent root crops‐based farming, maize‐based semi‐pastoral farming, and teff‐based cereal farming systems, respectively. A combination of qualitative and quantitative data collection techniques was employed. A multistage sampling procedure was used to select a total of 265 smallholder households for the structured survey interviews. Standard statistical tests and Tobit regression analyses were performed after determining the wealth category of each household. Results revealed a diversity of income sources used by each of the farm households with average values of 9 in Mennisa, 10 in Agam Wuha, and 11 in Welmel Tiqa, with the contributions of each income source varying by household wealth category and location. As expected, expenditures on food significantly exceeded those on non‐food categories for poor households and vice versa for rich wealth households. The average total food variety score (FVS) for Welmel Tiqa was twice that for Agam Wuha, confirming the need for site‐specific nutrition profile assessments. Despite the observed differences in household nutrition profiles among wealth categories and locations, the apparent intakes of vitamin A, vitamin B12, vitamin D, and calcium were consistently below the population‐level estimated average requirements across all locations. The number of adequately consumed nutrients by farm households was negatively associated with family size, age of household heads, livestock holdings, wealth categories, and irrigation use, and positively associated with crop production diversity, income diversity, and FVS. The negative association between irrigation use and nutrition security was likely due to the focus on producing crops with a high market value on land under irrigation, coupled with ineffective allocation of generated income for enhancing household nutritional outcomes. Therefore, programs that include irrigated agriculture investments should consider adopting a more integrated nutrition‐sensitive interventions, including consideration of locally adapted nutritious crops, such as orange‐flesh sweet potato, to address critical deficiency of Vitamin A, nutrition training coupled with development of recipes and cooking demonstrations, and marketing and promotion for nutritious crops. [ABSTRACT FROM AUTHOR]

Due to the lack of irrigation management techniques, the application of water in forest nurseries is generally carried out without control, resulting in great waste. This study aimed to develop and evaluate weighing mini-lysimeters (ML) to automate the irrigation system and determine the water demand and evaluation of the initial tree species seedling growth. The structure was built out of wood to fit a tray of 54 tubes measuring 280 cm2. It was equipped with a load cell with a nominal capacity of 10 kg, located in the center of the structure. The mass variations of the set were recorded on a micro SD card using an Arduino Mega board, which allowed for the automated irrigation management system through an algorithm. Two MLs were built, determining the water demand of Dalbergia nigra (DN) and Enterolobium contortisiliquum (EC) seedlings in the initial growth phase. After calibration, the MLs presented an absolute error and mean squared error below 1% of the total mass, allowing effective irrigation control. During the evaluation period, 1.47 L seedling-1 of DN and 1.45 L seedling-1 of EC were applied, reaching 89 days after emergence, height and stem diameter of 39.2 cm and 3.4 mm, and 19.3 cm and 4.6 mm, respectively. The weighing mini-lysimeters developed demonstrated the ability to automate the irrigation of tree species seedlings, reducing the amount of water applied in forest nurseries. [ABSTRACT FROM AUTHOR]

Objective: To compare collected bone weight and the frequency of autologous bone harvesting from the flutes of surgical drills used for implant bed preparation using two different drilling techniques. A comparative evaluation of radiographic bone density and bone quality was also made. Materials and Methods: A randomized clinical trial was made of 66 dental implants in patients with a single posterior edentulous site. The compared drilling techniques were high‐speed drilling with irrigation (control group) and low‐speed drilling without irrigation (test group). The bone collected in both groups was dried and weighed with a precise electronic balance. The frequency of harvesting was calculated. The median radiographic bone density of each implant site was measured using cone‐beam computed tomography (CBCT) pixel values. Patient sex, age, implant position and dimensions, as well as the last drill diameter were analyzed as independent variables. The level of significance was 5%. Results: The harvesting of bone chips from drill flutes proved possible in 51.5% of the procedures in the control group and in 100% in the test group (p < 0.001). There were also statistically significant differences in bone weight between the control group (6.7 ± 10.6 mg) and the test group (41.9 ± 30.3 mg) (p < 0.001). The CBCT pixel values were directly correlated with the collected bone weight in both groups. The median radiographic bone density, arch and last drill diameter were significantly associated with harvesting bone frequency and collected bone weight (p < 0.05). Conclusions: Our findings suggest that the frequency and weight of autologous bone harvested from drills are greater with low‐speed drilling without irrigation than with high‐speed drilling with irrigation. Radiographic bone density, arch and last drill diameter also significantly influenced the harvesting outcomes. [ABSTRACT FROM AUTHOR]

Easy clogging and short service life of mesh filters have posed great challenges in the irrigation water system. In this study, the pre- and post-pump mesh filters in series were combined to determine the interception of sediment and organic impurities at both pre- and post-pump filters. The indoor prototype tests were also carried out. The results showed that the distribution of the filter interception of sediment and organic impurities was related to the aperture of the mesh at pre- and postpump filters. The smaller the aperture of the post-pump filter was, the shorter the filtration time was. There was basically unchanged in the distribution of sawdust and sediment that was intercepted at pre- and post-pump filters. The smaller the aperture of the pre-pump filter was, the longer the filtration time was, and the smaller the percentage of sawdust intercepted by the filter. The percentage of sawdust intercepted by the pre-pump filter increased under the condition of the same screen aperture, with the increase of inlet water flow rate. It was recommended that the pre-pump filter with the screen aperture of 0.32 mm and the post-pump filter with the screen aperture of 0.20 mm were used for filtration when the content of organic impurities was high. Furthermore, the 0.32 and 0.20 mm mesh apertures of the pre- and post-pump filters were for filtration, when the mass ratio of organic impurities and sediment in the irrigation water source was less than 2. The 0.25-0.32 mm screen aperture of pre-pump filter prolonged the filtration time. There was a variation in the head loss with the filtration time, in order to clarify the influence of water conditions and screen aperture on the filtration time. Combined with the range analysis and multivariate analysis of variance (MANOVA), the initial and peak head loss were concentrated in the 2.43-5.87 and 13.92- 28.92 m, respectively, under different inlet flow conditions. The impurity ratio posed a smaller influence on the head loss. Additionally, the larger the inlet water flow rate was, the shorter the filtration time was. The empirical formula of head loss was established to fit the filtration time. The error between the fitting and the test was less than 7%, indicating the better suitable for the filtration time of tandem mesh filters under actual irrigation water. The best combination of the factor level for the orthogonal test was screened as the aperture D1（pre-pump is 0.32 mm, post-pump is 0.20 mm）, the sawdust to sediment mass ratio 1:1, sand content 0.12 g/L, and inlet flow 120 m3 /h. The influence of each factor on the filtration time was ranked in descending order: the impurity ratio, the screen aperture, the sand content, and the rate of inlet water flow. MLP neural network model was used to predict the filtration time. The error between the predicted and measured values was basically within 10%. The mean square error and the average relative error were 0.32% and 5.85%, respectively, suitable for the prediction of the filtration time under the complex water sources. The finding can also provide a strong reference to configuring the screen aperture of the pre- and post-pump filters in the tandem mesh filters for the irrigation projects. [ABSTRACT FROM AUTHOR]

The Heihe River Basin, located in Northwest China, serves as a major commodity grain base in China due to its state‐of‐the‐art irrigation system. The rapid increase in soil moisture caused by irrigation can alter the land–atmosphere energy fluxes and regulate regional climate. However, the effects and mechanisms of irrigation on wind speed related to thermodynamics remain unclear. Here, we carried out two 10‐year numerical simulations using the Weather Research and Forecast (WRF) model incorporating a real‐time irrigation scheme. By comparing the simulation differences (including and excluding irrigation), we found that irrigation significantly decreased the daily mean and maximum wind speed at 10 m above ground by 0.30 and 0.55 m·s−1, respectively, in the irrigated area during the growth season. Such surface wind slowdown could be explained by irrigation‐induced surface air cooling and, hence, intensifying atmospheric column stability, weakening turbulent momentum transport, as well as opposite‐to‐prevailing winds vector anomaly caused by increased southward pressure gradient. Meanwhile, we also found wind slowdown mainly occurs below 1100 m while acceleration effect above that level. It was highlighted that the surface wind slowdown effect of irrigation substantially improved the performance of the WRF model. Due to the surface wind slowdown effect of irrigation, the positive bias of daily mean and maximum wind speed simulated by the WRF model was reduced by 15.3% and 27.4%, respectively. Our findings implicate the potential importance of irrigation in improving the performance of climate models as well as in explaining the phenomenon of global stilling. [ABSTRACT FROM AUTHOR]

Partial root‐zone drying irrigation (PRD) can improve water‐use efficiency (WUE) without reductions in photosynthesis; however, the mechanism by which this is attained is unclear. To amend that, PRD conditions were simulated by polyethylene glycol 6000 in a root‐splitting system and the effects of PRD on cotton growth were studied. Results showed that PRD decreased stomatal conductance (gs) but increased mesophyll conductance (gm). Due to the contrasting effects on gs and gm, net photosynthetic rate (AN) remained unaffected, while the enhanced gm/gs ratio facilitated a larger intrinsic WUE. Further analyses indicated that PRD‐induced reduction of gs was related to decreased stomatal size and stomatal pore area in adaxial and abaxial surface which was ascribed to lower pore length and width. PRD‐induced variation of gm was ascribed to the reduced liquid‐phase resistance, due to increases in chloroplast area facing to intercellular airspaces and the ratio of chloroplast surface area to total mesophyll cell area exposed to intercellular airspaces, as well as to decreases in the distance between cell wall and chloroplast, and between adjacent chloroplasts. The above results demonstrate that PRD, through alterations to stomatal and mesophyll structures, decoupled gs and gm responses, which ultimately increased intrinsic WUE and maintained AN. Summary statement: Partial root‐zone drying irrigation (PRD) can improve water‐use efficiency (WUE) without reductions in photosynthesis; however, the mechanism by which this is attained is unclear. Our study reveals for the first time that the mechanism by which PRD improves intrinsic WUE without reducing photosynthesis is related to the decoupling of gs and gm responses and identifies key structure traits associated with gs reduction and gm enhancement under PRD conditions. [ABSTRACT FROM AUTHOR]

Agricultural drainage water production in southwestern Iran is a serious problem, but this low-quality water can be considered a potential alternative source of freshwater. In this regard, the cultivation of salinity-resistant plants using drainage water can be considered a suitable measure. Quinoa (Chenopodium quinoa Willd.) is a valuable halophyte, and the World Health Organization has recognized it as a plant that can guarantee the world's future food security. For this purpose, this study was conducted to investigate the sustainable use of drainage water for quinoa cultivation (2019–2020). First, quinoa seed germination experiments were conducted in the laboratory using four different salinity solutions [0 (control), 9, 18, and 27 dS/m ]. Then, field research was conducted in the form of a split-plot factorial design so that irrigation management and planting date were implemented as the main treatments and genotype factor as subtreatment in small plots. Four genotypes of quinoa were planted on the research farm on three dates, January 20 (D1), February 5 (D2), and February 20 (D3). Irrigation managements include irrigation with water from the Karun River (as freshwater, I1), drainage water from sugarcane fields (I2), and alternating irrigation with freshwater and drainage water (I3). An average reduction of 4% in the total germination at 27 dS/m salinity compared to the control treatment indicated that quinoa was well adapted to salinity during germination. The highest biomass was produced by the Rosada genotype cultivated on the D3 under I1 management at a rate of 540 g/m2 , followed by the Q26 genotype cultivated on the D1 under I3 management (499 g/m2). Finally, it can be concluded that, to maintain the salt balance in the soil, leaching at the end of the growing season is necessary to remove salts and maintain sustainable haloculture. [ABSTRACT FROM AUTHOR]

Conventional flood irrigation is the common irrigation system practiced in many developing countries. Under this regime, a large quantity of water is used to irrigate a variety of crops, such as banana, which consumes about 1,200–2,200 mm of water per year. Using the example of Yemen, the main objective of this study was to explore how to save as much of groundwater as possible and select the most suitable irrigation depth that does not affect the quantity and quality of banana production in the Al Mahwit governorate. Two models were used in this investigation. The BROOK90 (B90) hydrological model was employed to examine the banana field under existing water depth (1,500 mm year−1) and under two irrigation-reduction scenarios (1,000 and 500 mm year−1), and CROPWAT was applied to validate the findings of the B90 model, taking advantage of the monthly climate data in the CROPWAT package. Climate data were collected and field measurements of water consumption rates, plant characteristics, and soil properties were taken. The results show that the current irrigation depth with a quantity of 1,500 mm year−1 is more than the banana water requirements and most of the irrigation water is lost to seepage. The irrigation scenario with 500 mm year−1 appeared to be less than the banana water requirement, and water stress was observed. The scenario of 1,000 mm year−1 was found to be appropriate. Actual evapotranspiration (ET), soil water content (SWC), and seepage (SEE) had standard rates, and there was no stress in the soil. Most importantly, following the suggested irrigation schedule of 1,000 mm year−1 will save as much as 500 mm year−1 of groundwater compared with current water use. Furthermore, evaluation of effective rainfall and the tested irrigation depths to meet the amount of water required by banana indicated a strong correlation between CROPWAT and the B90 model with an average percentage bias of 13.2. Overall, both models yielded identical results, confirming the finding of an optimal irrigation depth. Practical Applications: Agriculture consumes a great amount of freshwater resources, making efficient water management imperative. This research from Yemen presents a universally applicable solution for optimizing irrigation practices and emphasizes the importance of calculating the actual water input for high-demand crops such as banana. The BROOK90 and CROPWAT models can be used in any region of the world to address water scarcity challenges. Furthermore, the strong agreement between the CROPWAT and B90 models in the validation of the proposed optimal irrigation depth makes the study findings more sensible and applicable, with no effect on banana productivity. The research introduces an innovative strategy to improve water-use efficiency in agriculture. In arid and semiarid regions, the irrigation depth of 1,000 mm for banana cultivation is proven to be sufficient, and would result in a considerable saving of groundwater for other uses. From a farmer's perspective, saving water will result in a great reduction of the fuel required for operating water wells and also will save time and labor. Moreover, conflicts among water users over limited water resources are expected to diminish. Therefore, supplying banana with the actual irrigation input, based on intensive field research, is essential, and promises a significant conservation of groundwater resources on a larger scale. [ABSTRACT FROM AUTHOR]

Sodium hypochlorite (NaOCl) is commonly used to irrigate primary teeth during pulpectomy. Although high concentrations of NaOCl are effective, they pose a risk of toxic damage to periapical tissues if NaOCl penetrates through the apical foramen. Therefore, low concentrations of NaOCl are preferred to mitigate this risk. However, concerns persist regarding the antibacterial efficacy of low concentrations of NaOCl compared to high concentrations. The objective of this study was to assess and compare the efficacy of 1% and 3% NaOCl irrigation in reducing bacterial load within primary teeth root canals. This clinical study involved forty participants divided into two groups. Group 1 (n = 20) received canal irrigation with 1 % NaOCl solution, while Group 2 (n = 20) received canal irrigation with 3 % NaOCl solution. Microbial samples were collected from the root canal using a paper point before and after irrigation. The samples were aseptically transferred to ultra-snap tubes and then analyzed using a Bioluminometer. The results were recorded. Both groups exhibited a decrease in bacterial count after irrigation. The mean colony count post irrigation for 3 % NaOCl was 258.05 ± 28.61, and for 1 % NaOCl it was 267.60 ± 30.56. However, no statistically significant difference was observed upon intergroup comparison. This study shows that 1% NaOCl is equally effective as 3% NaOCl in reducing bacterial count in root canals. Thus, using 1% NaOCl as an irrigant is appropriate in clinical practice. [ABSTRACT FROM AUTHOR]

This study investigated the performance of four different fertigation scheduling methods in greenhouse-grown, drip-fertigated Chinese chive (Allium tuberosum) cultivation. These methods were based on (1) the use of a timer (control), (2) accumulated radiation (AR), (3) estimated evapotranspiration (ET), and (4) measured soil moisture (SM), with fertilizer application proportional to the supplied water. These methods caused considerable variations in the amount of fertigation water (I), soil volumetric water content (θ), and bulk soil electrical conductivity, leading to variations in the harvested fresh weight (FW). The SM-based method maintained the target θ and achieved the highest irrigation water productivity (WP; the ratio of FW to ΣI), while the ET-based method led to insufficient I and FW loss. The AR-based method over-fertigated, but no FW loss was observed. Compared to the WP of the control, those of the SM-, ET-, and AR-based methods varied by +1%, −14%, and −57%, respectively. Different fertigation methods did not significantly affect leaf photosynthetic capacity, but under-fertigation caused a significant decline in stomatal conductance. Compared to the ET- and AR-based methods, the SM-based method seemed to have a lower risk of under-/over-fertigation because I in the SM-based method could be adjusted according to θ. [ABSTRACT FROM AUTHOR]

The presence of excessive algae in water is always considered as a negative factor in irrigation. However, the optimal balance between algal removal and retention in irrigation water when the algal biomass is controllable remains unknown. Therefore, this study explores the impact of low-level algal presence (Scytonema javanicum) on soil and microbial activity through controlled soil column experiments. Soil moisture was measured, and 16S rRNA gene amplicons sequencing was applied to characterize the microbial community. Slight community changes indicated no negative impact on the local microbial community of S. javanicum. Enzyme assays and quantitative polymerase chain reaction (qPCR) revealed that algae improved soil moisture retention, and enhanced the nutrient content of the topsoil. The decrease in moisture in the treatment group (from 27.53% to 26.42%) was significantly reduced (p < 0.05) compared to the control (from 27.55% to 25.17%), while the contents of ammonium (NH3-N) and total nitrogen (TN) in the treatment (0.70 mg/kg and 0.54 g/kg) were also higher (p < 0.05) than that of the control (0.43 mg/kg and 0.49 g/kg). The results of the abundance of functional gene suggested algae facilitated nitrogen fixation and nitrification. This research offers innovative insights for diversifying the sources of irrigation water. [ABSTRACT FROM AUTHOR]

Sprinkler irrigation is widely used in agriculture because it allows for rational use of water. However, it can induce negative effects of soil erosion and of surface waterproofing. The scholars of these phenomena use the numerical integration of the equation of motion, but if there was an analytical solution, the study would be facilitated, and this solution could be used as software for regulating sprinklers. Therefore, in this study, the solution of the differential equation of the flight of droplets produced by sprinklers in the absence of wind was developed. The impossibility of an exact analytical solution to the ballistic problem due to the variability of the drag coefficient of the droplets is known; therefore, to find the integrals in closed form, the following were adopted: a new formula for the drag coefficient; a projection of the dynamic's equation onto two local axes, one tangent and one normal to the trajectory and some linearization. To reduce the errors caused by the latter, the linearization coefficients and their calculation formulas were introduced through multiple non-linear regressions with respect to the jet angle and the initial droplet speed. The analytical modeling obtained, valid for jet angles from 10° to 40°, was compared to the exact numerical solution, showing, for the total travel distance, a high accuracy with a mean relative error MRE of 1.8% ± 1.4%. Even the comparison with the experimental data showed high accuracy with an MRE of 2.5% ±1.1%. These results make the analytical modeling capable of reliably calculating the travel distance, the flight time, the maximum trajectory height, the final fall angle and the ground impact speed. Since the proposed analytical modeling uses only elementary functions, it can be implemented in PLC programmable logic controllers, which could be useful for controlling water waste and erosive effects on the soil during sprinkler irrigation. [ABSTRACT FROM AUTHOR]