Accurate dietary assessment is crucial for nutrition and health research. Traditional methods, such as food records, food frequency questionnaires, and 24-hour dietary recalls (24HR), have limitations, such as the need for trained interviewers, time-consuming procedures, and inaccuracies in estimations. Novel technologies, such as image-based dietary assessment apps, have been developed to overcome these limitations. SNAQ is a novel image-based food-recognition app which, based on computer vision, assesses food type and volume, and provides nutritional information about dietary intake. This cross-sectional observational study aimed to investigate the validity of SNAQ as a dietary assessment tool for measuring energy and macronutrient intake in adult women with normal body weight (n = 30), compared to doubly labeled water (DLW), a reference method for total daily energy expenditure (TDEE). Energy intake was also estimated using a one-day 24HR for direct comparison. Bland–Altman plots, paired difference tests, and Pearson’s correlation coefficient were used to assess agreement and relationships between the methods. SNAQ showed a slightly higher agreement (bias = −329.6 kcal/day) with DLW for total daily energy intake (TDEI) compared to 24HR (bias = −543.0 kcal/day). While both SNAQ and 24HR tended to underestimate TDEI, only 24HR significantly differed from DLW in this regard (p < 0.001). There was no significant relationship between estimated TDEI and TDEE using SNAQ (R2 = 27%, p = 0.50) or 24HR (R2 = 34%, p = 0.20) and there were no significant differences in energy and macronutrient intake estimates between SNAQ and 24HR (Δ = 213.4 kcal/day). In conclusion, these results indicate that SNAQ provides a closer representation of energy intake in adult women with normal body weight than 24HR when compared to DLW, but no relationship was found between the energy estimates of DLW and of the two dietary assessment tools. Further research is needed to determine the clinical relevance and support the implementation of SNAQ in research and clinical settings.Clinical trial registration: This study is registered on ClinicalTrials.gov with the unique identifier NCT04600596 (https://clinicaltrials.gov/ct2/show/NCT04600596).

Nearly 90% of farming households in Senegal rely on rainfed agriculture; in recent years, climate change-induced disruptions to rainfall patterns and the ensuing depletion of water resources have had adverse effects on agricultural production, livelihoods, and food security. Recent studies recommend further assessment of the viability of and potential for Flood Residual Water Cultivation (FRWC) as an alternative growing strategy (i.e., to supplement or extend natural growing seasons). This study utilizes satellite imagery, GIS mapping, and crop analysis to identify areas with high potential for FRWC in Senegal's Sédhiou and Tambacounda regions, and recommends key crops that can be grown using FRWC and support food security. By calculating the Normalized Difference Water Index (NDWI) values based on historical data for the rainy season (September) and the first dry month after the rainy season (November) over a 9-year period, areas with flooding potential were identified and mapped. To assess the crop-growing potential for these mapped areas, we used crop reference evapotranspiration (ET) and determined daily water requirements for the select crops included in our analyses. Results: indicated suitable FRWC areas along river valleys in both regions, with specific locations identified along the Gambia River, the Senegal River in the Bakel Department, and low-lying plains near Kidira and Gourel Bouri. It was observed that regions closer to the Sahara Desert required more water for crop production due to higher temperatures and evapotranspiration rates. Our study identified a total potential FRWC area of 20.7 km² and recommends short-duration crops like okra, French beans, and drought-tolerant crops such as sorghum for FRWC. The integration of FRWC with climate-smart management practices can aid in climate adaptation and economic empowerment in the studied regions, and in Sub-Saharan Africa at large.

BackgroundMultidrug-resistant extended-spectrum β-lactamase (ESBL)-producing Enterobacterales is regarded as a critical health issue, yet, surveillance in the water-plant-food interface remains low, especially in Africa.ObjectivesThe objective of the study was to elucidate the distribution and prevalence of antimicrobial resistance in clinically significant members of the Enterobacterales order isolated from the water-plant-food interface in Africa.MethodsA literature search was conducted using six online databases according to the PRISMA guidelines. All available published studies involving phenotypic and genotypic characterization of ESBL-producing Enterobacterales from water, fresh produce or soil in Africa were considered eligible. Identification and characterization methods used as well as a network analysis according to the isolation source and publication year were summarized. Analysis of Escherichia coli, Salmonella spp. and Klebsiella pneumoniae included the calculation of the multiple antibiotic resistance (MAR) index according to isolation sources and statistical analysis was performed using RStudio.ResultsOverall, 51 studies were included for further investigation. Twelve African countries were represented, with environmental AMR surveillance studies predominantly conducted in South Africa. In 76.47% of the studies, occurrence of antimicrobial resistant bacteria was investigated in irrigation water samples, while 50.98% of the studies included fresh produce samples. Analysis of bacterial phenotypic antimicrobial resistance profiles were reported in 94.12% of the studies, with the disk diffusion method predominantly used. When investigating the MAR indexes of the characterized Escherichia coli, Klebsiella pneumoniae and Salmonella spp., from different sources (water, fresh produce or soil), no significant differences were seen across the countries. The only genetic determinant identified using PCR detection in all the studies was the blaCTX − M resistance gene. Only four studies used whole genome sequence analysis for molecular isolate characterization.DiscussionGlobally, AMR surveillance programmes recognize ESBL- and carbapenemase-producing Enterobacterales as vectors of great importance in AMR gene dissemination. However, in low- and middle-income countries, such as those in Africa, challenges to implementing effective and sustainable AMR surveillance programmes remain. This review emphasizes the need for improved surveillance, standardized methods and documentation of resistance gene dissemination across the farm-to-fork continuum in Africa.

The new energy context since 2021 has led to dramatic increases in the energy bills of agribusinesses, affecting the price of foodstuffs. A considerable part of energy consumption is due to the heating of water at high temperatures. The present study analyzed the feasibility of using a Solar Water Heating System (SWHS) with an evacuated tube collector. In particular, the required sizing changes, potential savings and cost-effectiveness were analyzed. The results show that the new energy context makes the SWHS investment highly attractive: a payback of less than 4 years in most of the scenarios analyzed; energy savings of more than 60 in the scenarios with higher irradiation; a reduction in total energy expenditure of more than 50 in the favorable scenarios close to the current reality. The new context especially favors cold and temperate climates, with very sharp drops in payback compared to the previous situation. To achieve these values, it is necessary to design an optimized sizing of the SWHS, reducing the risk of future variations in the price of energy. The results of the study should serve as a reference for decision making in the agroindustrial sector to reduce the energy bill and strategic dependence on fossil fuels from third countries.

Stable and sustainable food production is an important guarantee for national security and social stability. The uneven distribution of cultivated land and water resources will threaten national food security. In this study, we adopt the Gini coefficient and water&ndash:land matching coefficient for exploring the water&ndash:land nexus in the main grain-producing areas of North China Plain (NCP) from 2000 to 2020. The water&ndash:land&ndash:food nexus considering grain crop production structure is further explored from spatial and temporal multi-scales. The results show the following: (1) The Gini coefficient presents an increasing trend in the NCP, indicating an increasing imbalance in the water&ndash:land matching degree among inter-regions. (2) There are significant differences in the WL nexus and WLF nexus among regions, showing a spatial pattern of &ldquo:worse in the north and better in the south&rdquo:. (3) The cities which belonged to the low WL-low WLF and high WL-low WLF should be considered as key targets when formulating policies. (4) Adjusting the wheat&ndash:maize biannual system, optimizing the grain cultivation structure, promoting semi-dryland farming, and developing low water-consuming and high-yielding crop varieties are essential measures for these regions. The research results provide significant reference for the optimal management and sustainable agricultural development of agricultural land and water resources in NCP.

IntroductionWith the growing population of the world, water, food and energy supply will be one of the most important challenges ahead. Agriculture as the most important food producer is not only the consumer of water and energy, but also the most important supplier of energy. As a result, a balance must be struck between harvesting and exploitation of production resources and the amount of agricultural production. Due to the close relationship between water-food-energy systems and also their interaction with each other, a new concept called the “nexus” approach has been proposed which refers to the integrated nature and interactions of water-food-energy planning. This approach has provided suitable options for political decision makers, managers and planners in order to conserve existing resources and achieve sustainable development.Material and MethodsIn this study, we have tried to introduce a mathematical programming model using multi-objective mathematical programming (MOP) technique for water-food-energy nexus that has the ability to process managerial decisions. In this model, in addition to examining the economic aspect, the control of greenhouse gas emissions has also been investigated. The regions of Mashhad, Chenaran and Torqabeh-Shandiz are the most important regions in the study area of Mashhad province in the production of crops. The data required for the study were collected through review of reports and agricultural statistical yearbooks of the year 2020-2021 and interviews with experts in each region and through consulting engineering companies. The hypothetical model under study includes lands covered by crops of Mashhad, Chenaran and Torqabeh-Shandiz. In this model, the water needed to irrigate crops is supplied from surface and groundwater sources. Electricity (electricity consumption) is used to collect and pump of irrigation water, produce food, and supply the domestic and industrial sectors. In the process of generating electricity, production of food, irrigation of crops and consumption of fertilizers and pesticides, greenhouse gases are emitted, especially CO2. In this study, 6 objectives including: maximizing gross profit, maximizing the production of calories from food, minimizing emission of greenhouse gases, minimizing consumption of fertilizers and pesticides, minimizing consumption of irrigation water, and minimizing consumption of energy have been pursued.  Results and DiscussionThe results of the proposed model showed that the rate of change in the level of cultivation area in MOP compared to the current cultivation pattern in Mashhad, Chenaran and Torqabeh-Shandiz decreased by 25.92%, 53.05% and 55.88%, respectively. The level of optimal cultivation for barley in Mashhad in order to maximize net profit objective increased by 16934 hectares (46.71%) and its maximizing caloric production equal to 8484 ha, which has decreased compared to the current pattern (22%). The cultivation area of barley in minimum irrigation water consumption decreased by 10877 hectares (1.11%) and in other minimization objectives it changed to 12892 hectares which increased by 17% in Mashhad region. Wheat, barley, alfalfa, corn, sugar beet, tomato and potato have the highest decrease in cultivation area in the MOP among crops. The total area of optimal cultivation in the net profit maximization model of Mashhad, Chenaran and Torqabeh-Shandiz equal to 48639, 26027 and 75 hectares, which showed an increase of 41.4%, 11.61% and 55.8%, respectively. Furthermore, in the model aimed at minimizing energy, irrigation water, fertilizer, pesticide consumption, and greenhouse gas emissions, the recommended cultivation areas are as follows: 25,475 hectares for energy consumption, 15,954 hectares for irrigation water consumption, and 100 hectares each for fertilizer consumption, pesticide consumption, and greenhouse gas emissions. These figures clearly indicate the need to reduce the cultivation area dedicated to agricultural products that have a significant environmental impact. Consequently, it is crucial to alter the cultivation pattern and adopt a strategy that focuses on producing crops with a lower environmental impact. By implementing this strategy, the objective is to cultivate crops that require less energy, irrigation water, fertilizer, and pesticides, while also minimizing greenhouse gas emissions. This approach aims to mitigate the environmental footprint associated with agricultural practices. By reducing the cultivation area for crops that have high environmental effects and transitioning towards crops that have a lesser impact on the environment, it is possible to achieve a more sustainable and environmentally friendly agricultural system.ConclusionThe purpose of this study was to propose a nonlinear multi-objective mathematical programming model with water-food-energy nexus approach for crops in Mashhad province. In this study, in addition to economic relations, energy and environmental issues (greenhouse gas emissions) were also analyzed. The various components of the water-food-energy nexus, including energy supply planning, water supply and demand, food production, and control of greenhouse gas emissions, were modeled. The results showed that considering the MOP model based on economic and environmental objectives, the area under cultivation of wheat, barley, alfalfa, tomatoes, sugar beets and potatoes has significantly decreased. In other words, in order to achieve the objectives of maximum profit and minimum environmental impact, the area under wheat, barley, tomato, corn should be reduced and the area under cucumber, onion, potato and sugar beet should be increased. According to the results of this study, the following suggestions are presented:- Implementation of the proposed optimal model of water-food-energy nexus allows farmers to simultaneously maintain economic income, environmental considerations, optimal and sustainable consumption of resources (water-food-energy) to select and consider suitable policies. So, it will only be a sustainable policy if it can be built within the combined framework of water, food, energy and the environment.- In order to minimize the emission of greenhouse gases and its damage to the environment, the area under cultivation of agricultural products that have high environmental impact should be reduced, and in contrast to changes in cultivation pattern, the strategy to produce crops with less impact. Therefore, by developing a cropping pattern model, the productivity of the production capacities of the agricultural sector can be maximized and at the same time the damages and destructive consequences of crop production can be reduced.

Safe drinking water is a fundamental requirement for human life. The deterioration of water quality primarily involves microbiological hazards, since most evident water-related health problems are the result of microbial contamination. The aim of this study was to evaluate the microbial contamination of drinking water from three sources: water vending machines (WVMs), soda fountains (SFs), and tap water (TW) in the Eastern Coachella Valley (ECV) using physico-chemical parameters, conventional cultivable methods, including IDEXX technology and molecular methods. A total of 72 samples were analyzed and results indicated heterotrophic plate counts (HPCs) bacteria in 20% of samples from WVMs, 25% of samples from SFs, 33.3% of TW samples, and 76% of swab samples. Results also demonstrated 20% of WVM, 88% of swab samples, 41% of SF, and 50% of TW samples had total coliforms. Our qPCR indicated the presence of genetic materials of all six selected microorganisms (Salmonella spp, Listeria monocytogenes, Pseudomonas aeruginosa, Campylobacter jejuni, Escherichia coli, Enterococcus faecalis) used as indicators of pathogenic microorganisms in water from WVMs, SFs, and TW, and were represented at different concentrations and predominance. HIGHLIGHTS First study in the Eastern Coachella Valley to assess the water quality from soda fountains, water vending machines, swabs, and tap water.; This study reinforces the health risk of biofilms in water dispensers and the importance to develop surveillance and regulation that target water dispensers.; The study coupled physico-chemical parameters, DEXX Quanti-Trays, HPC, and qPCR.;

This study first defined the concept of the water–energy–food nexus system risk (WEF-R). Then, the WEF-R evaluation index system was established from three aspects: stability, coordination, and sustainability subsystems. Finally, the set pair analysis-variable fuzzy set model was used to evaluate the risk levels of subsystems, and the risk matrix was applied to assess provincial WEF-R levels in China from 2009 to 2018. The results showed that the stability subsystem had the greatest influence on provincial WEF-R, followed by the sustainability subsystem. The provinces with a higher risk of the stability subsystem and lower risk of the sustainability subsystem were mainly centralized in southeast coastal and central regions, which were consistent with the provinces with better socio-economic development. The provinces with lower risk of the stability subsystem and higher risk of the sustainability subsystem were mainly concentrated in northwest regions, which correspond with the provinces with better natural resources endowment but lower socio-economic development. As for the temporal evolution of risk levels, the risk levels of the coordination and sustainability subsystems showed downward trends during the study period, while the risk level of the stability subsystem displayed a small fluctuation, and the provincial WEF-R level in China presented a decreasing trend. HIGHLIGHTS The water–energy–food nexus system risk (WEF-R) was defined as internal, nexus, and external risks.; The WEF-R evaluation index system was established from three aspects: stability, coordination, and sustainability subsystems.; Set pair analysis-variable fuzzy set model and risk matrix were applied to assess the risk levels of subsystems and the water–energy–food nexus system.; Provincial WEF-R in China presented a decreasing trend.;

Introduction Stunting or linear growth faltering, measured by length-for-age Z-score (LAZ), remains a significant public health challenge, particularly in rural low-income and middle-income countries. It is a marker of inadequate environments in which infants are born and raised. However, the contributions of household resource insecurities, such as food and water, to growth and growth trajectory are understudied. Methods We used the cluster-randomised Sanitation Hygiene and Infant Nutrition Efficacy trial to determine the association of household-level food insecurity (FI) and water insecurity (WI) on LAZ and LAZ trajectory among infants during early life. Dimensions of FI (poor access, household shocks, low availability and quality) and WI (poor access, poor quality, low reliability) were assessed with the multidimensional household food insecurity and the multidimensional household water insecurity measures. Infant length was converted to LAZ based on the 2006 WHO Child Growth Standards. We report the FI and WI fixed effects from multivariable growth curve models with repeated measures of LAZ at 1, 3, 6, 12 and 18 months (M1–M18). Results A total of 714 and 710 infants were included in our analyses of LAZ from M1 to M18 and M6 to M18, respectively. Mean LAZ values at each time indicated worsening linear growth. From M1 to M18, low food availability and quality was associated with lower LAZ (β=−0.09; 95% −0.19 to –0.13). From M6 to M18, poor food access was associated with lower LAZ (β=−0.11; 95% −0.20 to –0.03). None of the WI dimensions were associated with LAZ, nor with LAZ trajectory over time. Conclusion FI, but not WI, was associated with poor linear growth among rural Zimbabwean infants. Specifically, low food availability and quality and poor food access was associated with lower LAZ. There is no evidence of an effect of FI or WI on LAZ trajectory. | PR | 2 Promoting Healthy Diets and Nutrition for all; IFPRI3; CRP4; DCA | PHND; A4NH | CGIAR Research Program on Agriculture for Nutrition and Health (A4NH)

Ardabil Plain, which holds significant political and economic importance in agricultural production in Iran, has faced various challenges including climate change, economic sanctions, and limited access to global trade. Ensuring food security has become a key priority for the region. The main objective of this research is to identify a suitable crop for this critical region with regard to future climate change conditions. This study employs a new framework of the system dynamics model (SDM) and the Hybrid Weighted Averaging (HWA) method to assess the Water–Energy–Food (WEF) nexus and resource sustainability in the Ardabil Plain under different climate change scenarios (RCP 2.6, RCP 4.5, and RCP 8.5). The research addresses current and future water challenges, emphasizing the need for additional energy and selecting optimal crops. Using the SDM, the study analyzes the impact of water supply fluctuations on agriculture, economic gain, and energy consumption from 2021 to 2050. The results indicate that barley is the most suitable crop for the Ardabil Plain in the near future, based on the overall ranking derived from the HWA method, which is as follows: barley > wheat > soybeans > potatoes > pears. The study highlights the significant challenges in energy supply for agriculture due to declining water levels and the increased force required by pumps to supply water to farms. These findings provide valuable insights for policymakers and stakeholders to make informed decisions in addressing water scarcity and rising energy demands in the Ardabil Plain.