Intensive Agricultural Practices Research Articles

Unveiling the efficacy of a bacterial antagonist in the management of tomato wilt disease caused by Ralstonia solanacearum

The long-term application of agrochemicals, including pesticides, in intensive agricultural practices to protect crops from biotic stresses results in the emergence of resistance among phytopathogens and the ineffectiveness of chemical applications. The microbiological strategies, in contrast, minimize the reliance on chemicals and, hence, reduce environmental and human health risks. Bacterial wilt of tomato induced by Ralstonia solanacearum is one of the most destructive diseases worldwide that requires urgent attention to develop a safer and more efficient method to control the phytopathogen. The present work was conducted in the year 2022-2023. In this study, the bacterial wilt was managed by an antagonist bacterium, Pseudomonas fluorescens, exhibiting variable morphological, biochemical, and plant growth-promoting activities. The P. fluorescens inhibited the growth of R. solanacearum in plate assay at different time intervals (0-48 h). The SEM image of R. solanacearum cells cultured with P. fluorescens revealed pores, distortion, and fragmented cell envelope, while the untreated bacterial cells were uniform and smooth. Tomato plants infected with R. solanacearum showed 89% disease incidence compared to uninfected but PGPR-inoculated tomato plants. Application of P. fluorescens reduced disease incidence by 63% compared to R. solanacearum infested plants. Furthermore, plant length enhanced by 21 and 26% significantly following bacterial inoculation after three and four weeks of growth. Conclusively, this study emphasizes the effectiveness of using PGPR as a potent strategy for managing wilt disease in vegetable crops, especially tomato.

Land Subsidence Susceptibility Mapping in Ca Mau Province, Vietnam, Using Boosting Models

The Ca Mau Peninsula, situated in the Mekong Delta of Vietnam, features low-lying terrain. In addition to the challenges posed by climate change, land subsidence in the area is exacerbated by the overexploitation of groundwater and intensive agricultural practices. In this study, we assessed the land subsidence susceptibility in the Ca Mau Peninsula utilizing three boosting machine learning models: AdaBoost, Gradient Boosting, and Extreme Gradient Boosting (XGB). Eight key factors were identified as the most influential in land subsidence within Ca Mau: land cover (LULC), groundwater depth, digital terrain model (DTM), normalized vegetation index (NDVI), geology, soil composition, distance to roads, and distance to rivers and streams. The dataset includes 2011 points referenced from the Persistent Scattering SAR Interferometry (PSI) method, of which 1011 points are subsidence points and the remaining are non-subsidence points. The sample points were split, with 70% allocated to the training set and 30% to the testing set. Following computation and execution, the three models underwent evaluation for accuracy using statistical metrics such as the receiver operating characteristic (ROC) curve, area under the curve (AUC), specificity, sensitivity, and overall accuracy (ACC). The research findings revealed that the XGB model exhibited the highest accuracy, achieving an AUC and ACC above 0.88 for both the training and test sets. Consequently, XGB was chosen to construct a land subsidence susceptibility map for the Ca Mau Peninsula. In addition, 31 subsidence points measured by leveling surveys between 2005 and 2020, provided by the Department of Survey, Mapping and Geographic Information Vietnam, were used for validating the land subsidence susceptibility from the XGB method. The findings indicate a 70.9% accuracy rate in predicting subsidence susceptibility compared to the leveling measurement points.

Towards Sustainable Agriculture: Integrating Agronomic Practices, Environmental Physiology and Plant Nutrition

Sustainable agriculture aims to meet the growing global demand for food without compromising environmental integrity. This review paper explores the integration of agronomic practices, environmental physiology, and plant nutrition as pathways toward sustainable crop production. Intensive agricultural practices have led to significant problems such as soil degradation, loss of biodiversity, and environmental pollution. Recent advancements in plant physiology have enhanced our understanding of plant growth and response to biotic and abiotic stresses. Optimizing crop production in a sustainable manner depends on insights into key processes like photosynthesis, water use efficiency, and nutrient uptake. This review discusses the role of plant growth-promoting microorganisms (PGPMs) as biofertilizers, providing an alternative to harmful agrochemicals. PGPMs can improve soil health and promote plant growth when applied to soil, seeds, or plant surfaces, reducing reliance on synthetic fertilizers and pesticides. Additionally, nanotechnology in agriculture is examined, illustrating how nanomaterials (NMs) and nano-based fertilizers can enhance nutrient absorption and increase crop yields. Beyond these scientific approaches, there is an urgent need to implement novel agricultural practices that support sustainability. The world population is growing at a disquieting rate, placing tremendous pressure on natural resources. This threatens future generations' access to nutritious food and clean air. Innovative approaches like climate-smart agriculture, organic farming, biodynamic agriculture, sustainable intensification, and regenerative agriculture, along with practices such as integrated farming systems, precision agriculture, integrated nutrient management, and integrated pest management, have proven to safeguard agricultural sustainability. By integrating these innovative approaches and practices, it is possible to meet the increasing demands for food while preserving the environment.

GIS-based groundwater potential zonation and assessment of groundwater quality and suitability for drinking and irrigation purposes in the Shanmughanadhi river basin, south India

To develop a specific watershed scenario, the quantity and quality of groundwater resources must be assessed and monitored locally. In the present study, an attempt has been made to identify possible groundwater potential zones, determine the quality of groundwater resources in this region, and evaluate their suitability for drinking and irrigation purposes. This goal has been achieved with the combined use of the weighted index overlay analysis (WIOA), groundwater quality index (GWQI), Remote Sensing (RS), and Geographic Information System (GIS) techniques. The proposed study area, Shanmuganadhi, is marked with superior rainfall, oscillating temperature, and runoff with litho-units encompassing charnockite (CHK) and hornblende biotite gneiss (HBG). Over-abstraction of groundwater and intensive agricultural practices have resulted in declining and degrading water quantity and quality in this area. The resulting integrated thematic map has been classified into five groundwater potential zones, namely poor, low, moderate, high, and very high, covering 3.2, 45.49, 15.3, 27.9, and 8.1% area, respectively. Sixty groundwater samples were collected during the pre-monsoon (PRM) and analyzed for major Physico-chemical parameters. From the water quality index assessment, over 28.0% of the samples fall within the “excellent,” 8.0% “good” and 4.0% “poor” in CHK, followed by 5.71% “excellent,” 48.57% “good,” 37.14% “poor,” 5.71% “very poor” and 2.87% “unsuitable” for drinking purposes in HBG terrain of this region. Irrigation indices also demonstrated that most of the groundwater samples in the CHK and HBG exposed zones exhibited good classes for irrigation purposes, as evidenced by the SAR and %Na+. The outcome, which shows the research area's groundwater potential zones, is beneficial for improved groundwater resource planning and management. It is concluded that for larger-scale groundwater-quality investigation and assessment, the groundwater quality index-making approach (GWQI) is more practical and dependable. Water planners and decision-makers may find it helpful in effectively controlling and monitoring groundwater quality at the basin or watershed scale. Reducing urban land use and natural runoff from farms can help prevent water contamination in some regions. To ensure the safe use of groundwater, long-term monitoring of these groundwater was suggested.

Abundance and distribution of microplastics in irrigation canal water in Jordan

This study investigates the abundance and distribution of microplastics in the KAC waterway, spanning three distinct regions: north, middle, and south. Microplastic concentrations were assessed across six sampling sites within each area, focusing on three size categories: 100–300 µm, 300–500 µm, and > 500 µm. Results reveal ubiquitous microplastic presence across all sites, with average total particle counts ranging from 6691 to 12,907 particles/m3. Notably, microplastic abundance increases along the water channel from north to south, correlating with human activities and urbanization along the water flow. The distribution of microplastics exhibits spatial heterogeneity, with varying concentrations observed both upstream and downstream. Higher particle concentrations dominate in the southern region, potentially linked to agricultural activities and plastic usage. Microplastic identification using FTIR Imaging Microscopy identifies polyester as the predominant type, followed by polyethylene, particularly prevalent in areas with intensive agricultural practices. Morphological analysis suggests sources including textile fibers, agricultural packaging, and tire abrasion. Overall, this research underscores the complex dynamics of microplastic contamination in waterways, highlighting the influence of anthropogenic activities on distribution patterns and composition.

Determinants of Smallholder Farmers’ Adoption of Climate-Smart Agricultural Practices in Zomba, Eastern Malawi

Smallholder farmers in Malawi largely depend on rainfed agriculture, despite climate change posing serious threats to this form of agriculture. The adoption of climate-smart agricultural practices is pivotal in offsetting the effects of climate change on agriculture. Despite the great potential of climate-smart agricultural practices in combating the effects of climate change on agriculture, smallholder farmers’ adoption of it remains low. Reasons are varied, suggesting that the factors are largely contextual. This study, therefore, explored the determinants of smallholder farmers’ adoption of climate-smart agricultural practices in Zomba, within the framework of the diffusion of innovations. Using a convergent mixed research design, the study purposively selected key informants and randomly selected smallholder farmers. Questionnaires, interviews, and observation guides were used to collect data. Thematic analysis was used to analyse qualitative data, while descriptive analysis was used to analyse quantitative data. Results indicate that only 26% of smallholder farmers have adopted the promoted climate-smart agricultural practices. Compatibility and simplicity are the chief determinants of climate-smart agricultural practice adoption. The majority of smallholder farmers fall under the late majority. Evidence shows that labour and capital intensive climate-smart agricultural practices are less likely to be adopted by smallholder farmers. Implementing agencies, therefore, should first consult the local farmers on the ground to see practices that are already being followed and are suitable before bringing the new ones. This will ensure that the appropriate climate-smart agricultural practices are promoted.

Contribution of Livestock Farming to Environmental Pollution in China

Purpose: The aim of the study was to examine contribution of livestock farming to environmental pollution in China. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that livestock farming in China significantly contributes to environmental pollution, posing substantial challenges to water, air, and soil quality. Intensive livestock operations, characterized by concentrated animal feeding operations (CAFOs), generate large quantities of animal waste containing nutrients and pathogens that contaminate water bodies. Additionally, livestock farming contributes to air pollution through emissions of ammonia and other pollutants, particularly in areas with intensive farming practices. Soil degradation and nutrient imbalance further exacerbate environmental degradation, with higher livestock densities associated with increased soil compaction and nutrient runoff. Unique Contribution to Theory, Practice and Policy: Tragedy of the Commons & Ecological Modernization Theory may be used to anchor future studies on contribution of livestock farming to environmental pollution in China. Promote the adoption of sustainable livestock management practices through capacity building, training, and extension services for farmers. Encourage the implementation of integrated farming systems that optimize resource use, minimize waste generation, and enhance environmental resilience. Strengthen regulatory frameworks and enforcement mechanisms to ensure compliance with environmental standards and promote responsible livestock production. Implement stringent measures to control water pollution from livestock waste, including mandatory wastewater treatment and monitoring programs.

Developing a model to assess the impact of farm dams and irrigation for data-scarce catchments

ABSTRACT Productive agricultural supply chains require the support of functional ecosystems, but intense agricultural practices change local hydrological systems (e.g. river diversion). In this study, the impact of farm dams was assessed for the Verlorenvlei catchment, a sensitive ecosystem currently under a state of hydrological change in South Africa. We developed a new module for the Jena Adaptable Modelling System (JAMS)/J2000 rainfall–runoff model to assess the streamflow impact from the points of abstraction, losses during storage and irrigation. The model achieved a satisfactory streamflow calibration with efficiencies Nash Sutcliffe Efficiency (NSE, logNSE) of 0.52 and 0.51. The irrigated area reduced simulated streamflow by 12 to 19%. The results from the study agree with remote sensed evapotranspiration, measured lake surface water levels and streamflow, but uncertainty remains in the total simulated am evaporation. While many catchments lack the data required for a detailed irrigation impact assessment, this approach considers total water use, dam storage to area relationships and general farming practices.

Corn Cropping Systems in Agricultural Soils from the Bajio Region of Guanajuato: Soil Quality Indexes (SQIs)

Agriculture is a sector of great importance for Mexico’s economy, generating employment and contributing significantly to the country’s gross domestic product. The Bajio stands out as one of the most productive agricultural regions in Mexico. However, intensive agricultural practices in this area have caused a progressive deterioration and loss of soil fertility. This study focused on evaluating the quality of soils used for agriculture in the Bajio region of the State of Guanajuato, Mexico. This evaluation, utilised soil quality indexes (SQIs) based on a total of 27 physicochemical, biological and enzymatic indicators. These indicators were selected by means of a principal component analysis (PCA), which allowed for the identification of a minimum set of data. The SQIs developed in this study categorised soils into different quality levels, ranging from low to high, mainly based on the values observed in the biological indicators (SMR and qCO2), which comprised the established SQIs. The inclusion of these biological indicators provides the developed SQIs with greater sensitivity to detect minor disturbances in agricultural soils due to human activity, compared with SQIs consisting only of physicochemical indicators. The developed SQIs can be used to ensure high-quality food production in soils used for corn cultivation under similar conditions, both nationally and internationally.

EXPERIMENTAL RELATIONSHIP BETWEEN LAND USE/LAND COVER AND UNDERGROUND FLOW IN AL BA COMMUNE IN THE CENTRAL REGION OF VIETNAM

Rapid urbanization and intensive agricultural practices in Vietnam's Central Highlands have substantially transformed land use/land cover (LULC) patterns, with implications for groundwater resources necessitating measurement. The objective of this investigation is to examine the links between multi-temporal variations in LULC and changes in underground water flow in Al Ba Commune, Gia Lai Province. Supervised object-based classification of Landsat and Sentinel imagery from the past 25 years has produced consistent LULC maps as inputs for the model. Geospatial data of LULC, meteorological data, and in-situ data of groundwater flow (Q) were used to calibrate and validate the integrated hydrological MIKE SHE model and simulate past Q conditions for correlation analysis. With these data on LULC and groundwater flow, this study investigates the relationship between LULC changes and Q using Multivariate Linear Regression (MLR) and Ridge Regression models. The MLR model showed high R² (0.91) but positive impacts of all LULC classes on Q, contrary to expectations. Further analysis with Variance Inflation Factor (VIF) revealed multicollinearity among LULC variables, which was addressed using Ridge Regression with a bias factor to correct for this issue. The revised model demonstrated that non-vegetative covers negatively affect Q while vegetative covers have a positive impact. These results highlight the complex dynamics of LULC changes on groundwater resources, which can be detected by statistical approaches. The results of study could be important for sustainable land management.

Free‐ranging cattle and the return of the wolf: behavioral responses and implications for conservation management

Over the last decades, wolves have considerably expanded their distribution in Europe. Their range expansion even led to recolonizing densely human‐populated countries such as Belgium and the Netherlands. The few available studies on the effects of returning wolves in these landscapes focus primarily on the behavioral responses of wild ungulates, such as deer. While livestock in intensive farming practices can be protected against wolves, free‐ranging cattle in nature areas often have to protect themselves. How these cattle respond to the returned wolves is thus far unclear, yet highly relevant for conservation management. There is very little information about how free‐ranging cattle respond to the re‐appearance of wolves in terms of anti‐predator behavior and ability to defend themselves. In June 2022, a newly established wolf pair was located in a natural area in Drenthe. This natural area is grazed year‐round by free‐ranging Galloway cattle, a small and hornless primitive breed commonly used in conservation management. Here, we reported on the behavioral responses of the herd following two wolf attacks that occurred at nighttime in April 2023, the first caught on wildlife cameras in the Netherlands. During these events, the Galloways showed a clear behavioral response: they became active, restless and vigilant, and showed grouping behavior, presumably to protect the calves. Chasing behavior towards the attacking wolf was even exhibited by some individuals. The reported attacks did not result in killed or injured cattle. These two well‐documented wolf–cattle interactions show promising information as they highlight anti‐predator behaviors from an unexperienced cattle breed, all within a year of the wolves' return. We broadly discuss the relevance of these findings for grazing management, including selection for breeds, anti‐predator behaviors, and impact of herd structure and size, and we provide avenues for future research to address current knowledge gaps.

Comparative analysis of soil quality and enzymatic activities under different tillage based nutrient management practices in soybean–wheat cropping sequence in Vertisols

In the modern era, intensive agricultural practices such as agrochemicals are applied in excessive amounts to enhance agricultural production. However, imbalanced adoption of these chemicals has arisen in the dwindling of agriculture factor productivity and soil quality. To maintain soil fertility and production, these chemical fertilizers must be supplemented with organic inputs. Keeping this in the backdrop, a research trail was established during 2018–19 and 2019–20 years at Research Farm of Agriculture University, Kota, India. The treatment setup was comprised of 5 treatment modules viz., conservation tillage + organic management (CAOM), conservation tillage + chemical management (CACM), conventional tillage + chemical management (CTCM), conventional tillage + organic management (CTOM) and the package of practices (PoPs) with four replications. Results indicated that the highest organic carbon (0.68%), bacterial (29.11 × 107 cfu g−1), fungal (4.77 × 104 cfu g−1), actinomycetes populations (5.67 × 104 cfu g−1), acid phosphatase (44.1 µg g−1 h−1), urease (45.3 µg g−1 h−1) and dehydrogenase (23.3 µg triphenylformazan [TPF] g−1 h−1) activity in soil were found in the treatment of conservation organic system during both the years of study at each soil depth. In contrast to other parameters, the highest system productivity was observed with conservation chemical crop management approaches, with a soybean equivalent yield of 4615 kg ha−1 in a soybean–wheat system of production. Furthermore, the soil quality index (SQI) significantly varied from the lowest score (0.30) at 45–60 cm layer of soil in the package of practices to the highest score (0.92) at 0–15 cm layer of soil with regards to the conservation organic which shows, 206.67 percent enhancement through the soil profile of various crop management practices. The SQI variation from 0–15 to 45–60 cm soil depth was 130.0, 81.08, 60.0, 175.0 and 83.33 percent, respectively, for CAOM, CACM, CTCM, CTOM and PoPs. Amongst, different systems, the highest mean performance was noticed under the conservation organic systems for physical and biological properties. Hence, in line with the salient outcome, we may propose that the conservation chemical system needs to be followed to improve crop productivity, whereas, conservation organic seems a good option for soil health with long-term viability.

Pollution status and health risk assessment of heavy metals in the soil of Sahibzada Ajit Singh (SAS) Nagar district of Punjab, India and its source apportionment

The threat of heavy metals in soil due to rapid urbanization, intensive agricultural practices, vehicular emission, and industry-related activities is increasing day by day, causing high risk to environmental health. The present study assessed the heavy metal pollution (Cr, Co, Ni, Co, Zn, As, Cd, and Pb) in the soil of Sahibzada Ajit Singh Nagar District, Punjab, India, through the index of geoaccumulation (Igeo), contamination factors (CF), degree of contamination (DC), pollution load index (PLI), ecological risk factor (Er) and potential ecological risk indices (PRI). The results showed the concentration of heavy metals in the soil in the order of Pb > Zn > Ni > Cr > Cu > As > Co > Cd. The pollution risk assessment indices: Igeo, CF, and Er indicated that most soil samples were moderately contaminated with Pb. The village Majra showed considerable contamination as evidenced by the Cd. The multivariate statistical analysis revealed the anthropogenic sources (agricultural practices and discharges from micro, small and medium enterprises (MSME) industries) to be the possible sources of Cr, Co, Ni, Cu, Zn, and Pb. The health risk assessment studies indicated that carcinogenic risks were higher for children than the adults. The cancer risk (CR) for all heavy metals in decreasing order is As > Cr > Pb > Ni > Cd. Likewise, the non-carcinogenic risks calculated as HQ followed the order of Pb > As > Cr > Cd > Ni > Cu > Co > Zn. The significant disparities in heavy metal concentrations underscore the necessity of establishing appropriate baseline levels for toxic trace metals in soils.

Tropical agroforestry supports insect pollinators and improves bean yield

Abstract Pollination services contribute to crop productivity worldwide, but insect pollinators are declining in most agricultural landscapes, mainly due to agricultural expansion and an increase in intensive agricultural practices. To reduce the negative effects of agricultural expansion and intensification, farmers can adopt ecological interventions, such as diversifying agricultural systems through agroforestry. However, there have been variable results on the effectiveness of agroforestry in enhancing pollinators and pollination services. Furthermore, most of the information has been generated in temperate regions, while the impact of agroforestry in tropical East Africa is largely unknown. Using common beans (Phaseolus vulgaris L.) as the focal crop, this study tested whether a tropical agroforestry system called Chagga home gardens supports pollinator communities and improves pollination and crop yield. We examined 16 agroforestry plots paired with 16 non‐agroforestry plots located along a gradient of woody (trees and shrubs) cover within a 1‐km radius to document the abundance, species richness and visitation rates of pollinating insects on bean flowers and how they contributed to bean yield. The beans planted in the agroforestry plots had almost twice the abundance of insect pollinators, three times the richness of the species and almost twice the visitation rates than those planted in non‐agroforestry plots. We also found a significant positive effect of woody cover in the surrounding landscape on insect pollinator abundances, but not on species richness and visitation rates. Additionally, the abundance and richness of insect pollinators increased significantly with flower abundance, while the overall plant richness in a plot significantly increased insect pollinator abundance and their visitation rate. The difference in bean yield between unbagged flowers (in which insect pollinators were allowed to access bean flowers) and bagged flowers and the total yield were higher in agroforestry than in non‐agroforestry plots. Synthesis and applications. This study showed that, compared to monoculture, agroforestry generally promotes pollination services in a tropical context. Furthermore, we found that agroforestry is likely to be particularly helpful for pollinators when it increases flower abundance and plant richness and if it is coordinated so that woody cover also increases at the landscape scale.

Enhancing farmed striped catfish (Pangasianodon hypophthalmus) robustness through dietary β-glucan.

β-glucan is a well-documented feed additive for its potent immunostimulatory properties in many farmed fish species. This study examined how it can also be a promising growth promoter, modulate antioxidant enzyme activities, and act as an anti-stress agent in striped catfish (Pangasianodon hypophthalmus). A 12-week feeding experiment was untaken to determine the effects of dietary β-glucan supplementation at graded levels (0, 0.5, 1.0, and 1.5 g kg-1). Measured indicators suggest that a dietary inclusion level of 1.5 g kg-1 β-glucan gave the highest positive responses: weight gain (120.10 g fish-1), survival (98.30%), and lower FCR (1.70) (P<0.05). Whole body proximate analysis had only revealed that crude protein was significantly affected by the dietary inclusion of β-glucan (P<0.05), with the highest protein content (19.70%) being in fish that were fed with 1.5 g kg-1 β-glucan. Although other inclusion levels (i.e., 0.5 and 1 g kg-1) of β-glucan did not enhance body protein content (P>0.05). The assessment of fatty acid composition in muscle, liver, and adipose tissues showed modifications with the inclusion of β-glucan. Antioxidative-related enzyme activities (inc. catalase, glutathione peroxidase, and superoxide dismutase) that were measured in the liver had higher levels when fed with β-glucan inclusion diets (P<0.05). Following the feed trial, fish were subjected to crowding stress treatment. It was subsequently found that catfish fed with β-glucan-based diet groups had lower levels of blood stress-related indicators compared to the control group with no dietary β-glucan. The use of 1.5 g kg-1 of dietary β-glucan resulted in the lowest measured levels of cortisol (43.13 ng mL-1) and glucose (50.16 mg dL-1). This study has demonstrated that the dietary inclusion of β-glucan can have functional benefits beyond the immunological enhancements in striped catfish. Furthermore, its use can increase production levels and mitigate the stress associated with intensive farming practices.

Sturgeon Parasites: A Review of Their Diversity and Distribution

Sturgeon species have inhabited the world’s seas and rivers for more than 200 million years and hold significant taxonomic significance, representing a strong conservation interest in aquatic biodiversity as well as in the economic sector, as their meat and eggs (caviar) are highly valuable goods. Currently, sturgeon products and byproducts can be legally obtained from aquaculture as a sustainable source. Intensive farming practices are accompanied by parasitic infestations, while several groups of parasites have a significant impact on both wild and farmed sturgeons. The present article is a review of common sturgeon parasites from the genus: Protozoa, Trematoda, Crustacea, Nematodes, Monogenea, Hirudinea, Copepoda, Acanthocephala, Cestoda, Polypodiozoa, and Hyperoartia, while also addressing their pathology and statistical distribution.

Building Soil Health and Fertility through Organic Amendments and Practices: A Review

Soil health and quality are foundational to agricultural sustainability and meeting global food security priorities. However, intensive farming practices have degraded soil ecosystems. Organic amendments and regenerative management practices can restore soil function by overcoming nutritional limitations, improving physical and biological properties, and promoting general soil and crop resilience. This review synthesizes research on major sources of organic soil amendments including animal manures, composts, cover crops, crop residues and living mulches. We describe their multifaceted edaphic and agronomic benefits from providing a slow release bank of macro and micronutrients, increasing soil organic matter, and stimulating beneficial microbial communities. Complementary and synergistic soil building practices are also covered, encompassing conservation tillage techniques like no-till, crop diversification via rotations and intercropping, and agroecological integration of trees and livestock. Although transitioning from degraded conventional systems requires patience as years of soil regeneration are needed to enable high system performance, outcomes consistently show integrated practices that minimize disturbance and maintain living ground cover while leveraging organic inputs can transform the foundation of agricultural systems by enhancing soil ecosystem function. Widespread adoption of this soil health paradigm can thereby enable sustainable intensification and resilience.

Assessment of the heavy metal pollution degree and potential health risk implications in lakes and fish from northern Romania

This study aims to assess the quality of water and sediment collected from several lakes, and the potential adverse effects on the biota and human health. The bioaccumulation and transfer of heavy metals from sediment to water, and water to fish and vegetation were determined and analyzed. The associated and implicated human health risks of heavy metals were also investigated. Study results showed that waters were contaminated with Fe, Al, Mn and NH4+ caused by the industry and intense agricultural practices. According to the heavy metal pollution index scores, the studied lakes were characterized by high, medium and low pollution levels (HPI mean scores ranging between 2.9 and 222, and HEI between 0.59 and 51.4). The bioaccumulation and transfer factors were not significant, although it can be observed that the bioaccumulation scores were higher than the transfer scores. The chronic daily intake of water, considering the heavy metal load, through the ingestion pathway (CDIingestion = 0.0019–0.087 mg kg−1day−1) was higher than the chronic daily intake related to the skin contact (CDIdermal = 1.00E-08–4.54E-07 mg kg−1day−1). Consequently, stricter standards must be applied to decrease and prevent biota exposure to toxins and implicitly at their adverse effects.

An integrated assessment model of the impacts of agricultural intensification: Trade‐offs between economic benefits and water quality under uncertainty

AbstractWe integrate a model that simulates biophysical processes in soils and water with spatial and temporal heterogeneity at the basin scale with an economic model of decisions under uncertainty, to simultaneously evaluate the economic and environmental effects of farming practices and land uses that characterise agricultural intensification. The introduction of uncertainty allows the evaluation of economic impacts both due to changes in average profits and in their volatility. Through our model integration, we endogenously tackle the trade‐offs between economic benefits and environmental outcomes, in terms of nutrient levels in water. Results show that a sizable increase in economic benefits from supplemental irrigation comes from lower risk premiums. Medium‐to‐high increments of fertiliser rates in irrigated crops are dominated in terms of economic benefits by low fertiliser rate increments. We find that water quality deteriorates with intensive farming practices. However, the magnitude of the trade‐offs between economic benefits and water quality is mixed and depends on the nutrient and level of risk aversion considered. The ability of our model to quantify and document the mentioned effects is a relevant input to inform the decision‐making process of agricultural and environmental authorities, often characterised by competing and opposing objectives.

Water Quality Assessment of a Hydro-Agricultural Reservoir in a Mediterranean Region (Case Study—Lage Reservoir in Southern Portugal)

In regions where drought has become a common occurrence for most of the year and where agriculture is the main economic activity, the development of hydro-agricultural systems has made it possible to improve water management. Despite this, the intensification of agriculture combined with climate change leads to a potential decrease in water quality and water management practices are essential to improve agro-environmental sustainability. The aim of this study was to assess the water quality for irrigation and potential ecological status of the reservoir (using support chemical parameters). The results showed biological oxygen demand values above the maximum stipulated for an excellent ecological potential in all sampling periods except April 2018 and December 2020 (with the highest values of 10 mg L−1 O2 in dry periods). Most of the total nitrogen concentrations (TN) surpassed those stipulated for a good ecological potential (0.96 ≤ TN ≤ 2.44 mg L−1 N). In fact, TN and total suspended solids were the main parameters used for water classification. From the perspective of irrigation and according to FAO guidelines regarding infiltration rate, these waters presented light to moderate levels of restrictions. Thus, the results revealed that the decrease in the water quality status and its possible impact on the soil infiltration rate can be related, in part, to the meteorological conditions and to the intensive agricultural practices developed around the drainage basin. Despite that, as the Lage reservoir is part of Brinches–Enxoé hydraulic circuit, the water recirculation is also an important factor that may have affected the results obtained. Furthermore, the experimental design, integrating ecological status, irrigation parameters, and the impact on soil systems; using the same parameters from different perspectives; allowed us to have a global idea of water contamination and its impact on agroecosystems, improving river basin management processes.