Sustainable Production Research Articles

Adapting to diversified garlic-maize rotation systems by adjusting nitrogen application: Assessing crop yield, nitrogen utilization, and nitrogen footprint

Diversified crop rotation is crucial for maintaining sustainable agricultural production by improving resource use efficiency, balancing soil nutrients, and preserving biodiversity. Despite these benefits, there is a notable gap in research concerning the nutrient transport characteristics in cash crop-grain rotation systems. This study was to investigate: (i) the nitrogen (N) uptake and distribution among the different plant organs in rotation crops; (ii) the N footprint in different growth seasons in response to crop N fertilization and residual N in the soil; and (iii) the influence of environmental factors on the productivity and N footprint in cash-grain rotation systems. In the three-year rotation system, N fertilizer was applied at the rates of 220, 175, and 130 kg N eq ha−1 for maize, and 300 and 240 kg N eq ha−1 for garlic. Results showed that maintaining a high N application rate during the garlic season and appropriately reducing it during the maize season (G300M175) enhanced N transfer to the grains of maize, increasing maize N use efficiency by 18.9%, while simultaneously increasing garlic dry matter and N accumulation. While the maize yield remained stable, garlic yield decreased with the reduced N rate, resulting in a significant reduction in N footprint. Water supplies (precipitation and irrigation) positively impacted dry matter accumulation, N absorption and yield, while reducing N footprint in both crops. Elevated air temperature favored maize yield but hindered garlic production and raised garlic N footprint. Although N fertilizer increased N footprint per unit land area (NFa), it decreased the N footprint per unit N uptake by crops (NFn) while boosting crop yields. Maintaining a suitable N input rate for cash crops in previous season while reducing N input in the following season staple crops can enhance the whole systems’ productivity while decreasing the nitrogen footprint.

Growth and yield of maize in response to reduced fertilizer application and its impacts on population dynamics and community biodiversity of insects and soil microbes

In the North China Plain, farmers are using excessive amounts of fertilizer for the production of high-yield crop yield, which indirectly causes pollution in agricultural production. To investigate an optimal rate of fertilizer application for summer maize, the fertilizer reduction experiments with 600 kg/ha NPK (N: P2O5: K2O = 28: 8: 10) as normal fertilizer application (NFA), (i.e., 100F), were conducted successively during 2020 and 2021 to study the effects of reduced fertilizer rates, including 90% (540 kg/ha; i.e., 90F), 80% (480 kg/ha; i.e., 80F), 62.5% (375 kg/ha; i.e., 62.5F) and 50% (300 kg/ha; i.e., 50F) of NFA, on the plant growth of maize, the dynamics of key population abundances and community diversity of insects, and the composition and diversity of microbial community and finally to find out the N-metabolic enzymes’ activity in soil. Our findings revealed that the fertilizer reduction rates by 10% - 20% compared to the current 100% NFA, and it has not significantly affected the plant growth of maize, not only plant growth indexes but also foliar contents of nutrients, secondary metabolites, and N-metabolic enzymes’ activity. Further, there was no significant alteration of the key population dynamics of the Asian corn borer (Ostrinia furnacalis) and the community diversity of insects on maize plants. It is interesting to note that the level of N-metabolic enzymes’ activity and microbial community diversity in soil were also not affected. While the fertilizer reduction rate by 50% unequivocally reduced field corn yield compared to 100% NFA, significantly decreased the yield by 17.10%. The optimal fertilizer application was calculated as 547 kg/ha (i.e., 91.17% NFA) based on the simulation analysis of maize yields among the five fertilizer application treatments, and the fertilizer application reduced down to 486 kg/ha (i.e., 81.00% NFA) with a significant reduction of maize yield. These results indicated that reduced the fertilizer application by 8.83% - 19.00% is safe and feasible to mitigate pollution and promote sustainable production of maize crops in the region.

Co-existence of potentially sustainable indigenous food systems and poor nutritional status in Ho indigenous community, India: an exploratory study

Indigenous food (IF) systems comprise culturally important foods derived from natural resources with shorter farm to plate chains, as compared to modern counterparts. These food systems are at epicenter of sustainable food systems with potential to alleviate malnutrition and protect ecosystems. The Ho indigenous community of Jharkhand have access to diverse IFs, yet experience malnutrition. A sequential mixed-method study was conducted to explore local food systems with assessment of diet quality and nutritional status of Ho women. Focus group discussions (n = 10) and free-listing (n = 7) were conducted to capture community’s perspectives on IF systems, associated sustainable attributes and perceived challenges towards IF utilization. Scientific names and nutritive values of IFs were documented through secondary review; in case of no information in literature, IFs were identified through ethnobotanist with nutritional analysis in laboratory. 24 h recalls (n = 284 in winter and n = 154 in monsoon) and anthropometric assessments (n = 273) were conducted to estimate women’s dietary diversity and nutritional status. Findings revealed rich traditional ecological knowledge (TEK) producing a diverse list of IFs (n = 243) mainly accessed from natural food environment (wild and cultivated). Among listed foods, 171 IFs were taxonomically classified and among these, nutritive values were documented for 121 IFs. Potentially sustainable traits of Ho’s IF systems included high nutrient density of IFs, community’s preference towards their consumption because of their flavorsome attributes, climate resilient properties and cultural heritage. However, impacts of climate variability, changing farming practices and market-integrated life ways challenged the sustained production, access and consumption of IFs. This was evident in poor diversity in diets (diet diversity scores of 2.9 in winter and monsoon) and chronic energy deficiency (36%) in women. The unique TEK systems of indigenous communities need to be integrated into mainstream policies and programs for safeguarding and promoting their potentially sustainable food systems to support food and nutritional security.

Utilizing a Hybrid Approach to Identify the Importance of Factors That Influence Consumer Decision-Making Behavior in Purchasing Sustainable Products

Consumer decision-making behaviors play a pivotal role in the realm of purchasing sustainable products. It is crucial for businesses to understand the key factors that influence consumers’ choices in this context, especially if they aim to align with eco-friendly trends. Conventional methods are inadequate for accurately and successfully identifying the importance of factors that influence consumers’ decision-making behaviors in purchasing sustainable products and stem from a lack of holistic consideration. Conventional methods, like AHP, surveys, questionnaires, interviews, and focus groups, often do not fully consider the many aspects of consumer behavior related to sustainability. To address this gap, our study aims to (1) employ a hybrid approach, integrating conventional methods with cutting-edge machine-learning technology for predicting consumer’s decision-making behaviors in purchasing sustainable products; (2) demonstrate the practical application of this hybrid approach through the example of green furniture; and (3) provide a practical guide for identifying the importance of factors influencing consumers’ decision-making behaviors in purchasing sustainable products. This study will map out implications for the future of consumer decision-making behaviors in purchasing sustainable products. The hybrid approach to studying consumer decision making in sustainable product purchases, combining quantitative and AI methods. This methodology provides a comprehensive analysis of factors influencing environmentally friendly choices, fostering awareness and informed decision making. Businesses can use these insights to tailor strategies, enhance offerings, and meet the rising demand for sustainable products, contributing to environmentally responsible consumer behaviors and promoting economies of scale for sustainable products and innovation. This holistic understanding is crucial for creating a sustainable and socially responsible marketplace.

What green are we talking about?

The abundance of marketing definitions and criteria creates confusion among consumers when trying to comprehend the impact of supposedly sustainable products and make informed purchasing decisions. This research, based on a survey of consumer behavior literature spanning from 2011 to 2021, where 432 articles were selected, delves into the diversity and potential discrepancies in terminology associated with sustainable products, corporate marketing strategies, and their potential influence on consumers. We highlight several recommendations for marketing practitioners and policymakers, including the importance of conducting long-term awareness campaigns, and establishing standards for sustainable products to enhance product differentiation and enable informed consumer choices.

Perceived Benefit, Policy Incentive and Farmers’ Organic Fertilizer Application in Protected Areas

The green production behaviors of farmers in protected areas (PAs) can reduce environmental disturbances and contribute to the effectiveness of PAs. Based on a survey of 708 farmers in Wuyishan National Park (WNP) and Crested Ibis Nature Reserve (CINR), we studied the influence of perceived benefit and policy incentive on farmers’ organic fertilizer application. Results: (1) Perceived benefit, subsidies policy, and propaganda policy significantly promoted farmers’ organic fertilizer application, with perceived benefit having the strongest effect, followed by subsidies policy. The influence of restriction policy was not significant. (2) Perceived benefit, subsidies policy, and propaganda policy indirectly influenced organic fertilizer application through ecological awareness. (3) In WNP, perceived benefit had the strongest effect on organic fertilizer application, and subsidies policy significantly enhanced farmers’ ecological awareness and influenced their behaviors. In contrast, subsidies policy had the strongest effect on organic fertilizer application, but did not significantly enhance farmers’ ecological awareness in CINR. These results offer valuable insights for promoting green production behaviors of farmers in PAs. This study implies that there must be a pathway for the realization of ecological value in ecological protection. Ecological value realization is the endogenous motivation for farmers’ sustainable green production behaviors. However, government subsidies and guidance are also essential in the early stage.

Sustainable Livestock Production: Screening Analysis and Pilot Implementation of a Biofilm in Piggery Biofilters for Mitigation of Ammonia and Hydrogen Sulfide Emissions

One of the most noticeable problems associated with the close location of piggeries is gaseous compounds emission. Ammonia and hydrogen sulfide emissions affect the quality of life of people living in the vicinity of such facilities. Among the diverse methods for managing and controlling malodorous substances, biological methods, which involve the utilization of microbiological agents, are widely employed. The use of bacterial strains is a relatively simple, low-cost, and ecological method. The study aimed to conduct a preliminary evaluation of the implementation of a novel consortium of deodorizing bacteria. The study involved the selection of bacteria, assessment of the antagonistic properties, implementation of the inoculum in a mesh-filled biofilter, and analysis of ammonia, hydrogen sulfide, and fine dust content in the air before and after passing through the mature biological bed. The results obtained demonstrate the effectiveness of the biofiltration bed in reducing ammonia levels, with a maximum decrease observed at 73.90%. For hydrogen sulfide, a removal efficiency of >72.08% was observed. Reduction in fine dust pollution also decreased from a level of 3.75 mg/m3 to 1.06 mg/m3. The study’s findings demonstrate the promising potential of utilizing a consortium of deodorizing bacteria as an effective approach to mitigating emissions from piggeries.

Experimental and Numerical Investigation of the Fracture Behavior of Extruded Wood–Plastic Composites under Bending

The ability of wood–plastic composites (WPCs) to withstand various loads and resist plastic failure is attracting more and more interest due to the global increase in demand for WPCs by over 6 million tons per year. Among the most important and innovative research methods are those based on fracture mechanics—their results enable material designers to optimize the structures of these hybrid polymer composites at the nano, micro and macro levels, and they allow engineers to more accurately evaluate and select functional, sustainable, long-lasting and safe product designs. In this study, standard single-edge notched bending (SENB) tests were used to analyze the fracture toughness of two different extruded WPCs along the longitudinal (L) and transverse (T) directions of extrusion. In addition to their resistance to crack propagation, critical fracture criteria, initial contact stiffness, fracture parameters and fracture surfaces, the mechanical properties of these composites were also investigated. The results showed that WPC-A coded composites withstood higher loads until failure in both directions compared to WPC-B. Despite the larger data spread, both types of composites were more resistant to crack propagation in the T direction. Mode II of crack propagation was clearly visible, while mode III was not as pronounced. The experimental results and the numerical finite element (FE) model developed up to 58% of the maximum load correlated well, and the obtained deformation curves were best approximated using cubic equations (R2 > 0.99). The shear stress zone and its location, as well as the distribution of the equivalent stresses, had a major influence on crack propagation in the fracture process zone (FZP).

Identification of Soil Fertility Constraints of Erstwhile Warangal District, Telangana, India, using GIS for their Precise Management for Sustainable Crop Productivity

The present investigation was carried out to identify soil fertility constraints and map the fertility status of erstwhile Warangal District, Telangana, India using geographic information system (GIS) and global positioning system (GPS). 241 geo-referenced surface soil samples (0-20 cm) from the study area were analyzed for their fertility parameters. Soil fertility maps were prepared for each parameter under GIS environment using Arc-GIS v 10.8.2. The soils in study area were slightly acidic to slightly alkaline in reaction (6.16 - 8.34), non saline in nature (0.14 to 1.00 dS m–1) and low to high (0.12 - 1.14%) in organic carbon (OC%) content. The soils were low in available nitrogen (136 to231 kg ha-1), low to high in available phosphorus (14.00 to 166.00 kg P2O5 ha-1) and medium to high in available potassium (199 to 997 kg K2O ha-1). The wide variation from deficient to sufficient was observed in the status of available zinc (0.13 to 2.05 mg kg-1), iron (0.09 to 11.80 mg kg-1), copper (0.14 to 2.14 mg kg-1) and manganese (0.18 to 10.30 mg kg-1). The soil fertility status in study area revealed that soil organic carbon, available nitrogen and zinc are important soil fertility constraints in the erstwhile Warangal District Telangana India. To build up organic matter, zinc content, native nitrogen and maintain nutrient balance in the soil the farmers are advised to adopt farmyard manure (FYM) and ZnSO4 application regularly.

New Legal Framework of Agrivoltaics in Germany

In Germany, numerous amendments have been made in the last year which are intended to take into account the special features of agrivoltaic systems. This is very welcome. Nevertheless, some legal challenges remain. In order to advance the technology and contribute to the energy transition and sustainable food production, the comprehensive embedding of this technology in the legal framework is crucial. Because ultimately, the way is only paved when all uncertainties have been removed. Agrivoltaics offers a solution to the conflict of interest between the sealing of land on the one hand and the need to increase the use of photovoltaic systems on the other. An analysis of the four sectors of public law, energy law, EU agricultural subsidies and tax law will present the current state of the legal framework for agrivoltaics in Germany, following-up the authors’ contribution “Legal framework of agrivoltaics in Germany” in previous proceedings of the AgriVoltaics conference series [1]. Agrivoltaic systems are usually erected outside settlement areas without a development plan. In many cases it is difficult to obtain permission for these areas, as it is not always possible to classify them as privileged projects. In the area of a development plan, the designated use may collide with an installation of the photovoltaic system. Regarding the Renewable Energy Sources Act (EEG), it is to be noted that separate financial support schemes have now been introduced for certain agrivoltaic installations. A crucial question for farmers remains whether their land loses its eligibility for EU direct payments through the use of this technology. Here, too, the legislator has set an important course for agrivoltaics. This also applies in the area of inheritance-, gift-, land- and real estate transfer-tax law.

Improved breeding and seed production of climbing perch (Anabas testudineus) in controlled tanks and cage systems

The climbing perch (Anabas testudineus) is a valuable fish species with significant potential for aquaculture. However, a low survival rate was observed at its early development stages, requiring an optimized protocol for sustainable aquaculture production. This paper presents an improved breeding and seed production technology for climbing perch. Mature climbing perch were induced to spawn using salmon gonadotropin-releasing hormone analog (sGnRHa) at a dose of 30 µg/kg-1 body weight of the breeder. The female broodfish spawn 9–10 hours after hormone injection. Developmental stages were defined based on the morphological features of the embryos from the first cleavage to the hatching stage. The first cleavage began at approximately 18–20 minutes after fertilization. Newly hatched larvae were observed within 18–20 h at 30°C, having an average larval size of 0.389±0.042 mm (total length). Successful breeding entails a selection of suitable algal species, an optimal aquaculture environment, regular feeding rates, consistent monitoring of larval development, and effective management of water quality. Survival rates from the larval stage to fry were achieved at 84.69% and 77.60%, respectively, while the survival rate to the fingerlings stage was 72.51%. Therefore, by implementing an optimized protocol, aquaculture practitioners can maximize the production potential of climbing perch while ensuring sustainable cultivation practices. The findings from this research contribute to the advancement of climbing perch aquaculture by providing valuable insights for the successful cultivation and increased economic profitability of A. testudineus species in hatchery productions.

Exploring the Impact of Organic-inorganic Coupling on Nutrient Use Efficiency and Cane Yield in Calcareous Soils of the Indo-gangetic Plains of India

Improving nutrient use efficiency beyond its typical ceiling of 50% is imperative for enhancing sugarcane production and juice quality, while concurrently reducing reliance on synthetic fertilizers and mitigating environmental impact. To address this challenge, a field experiment was conducted during the year 2021–2022 at the Kalyanpur research farm of Dr. Rajendra Prasad Central Agricultural University, Pusa, Bihar. The study aimed to evaluate the effects of integrated nutrient management on sugarcane yield and nutrient utilization efficiency in spring-planted crops like sugarcane. Employing the randomized block design with three replications, the experiment utilized the sugarcane variety CoP-112. Although various treatments exhibited no significant influence on parameters such as germination percentage, plant height, cane length, diameter and individual cane weight, the combination of the recommended dose of fertilizers (RDF) with vermicompost and biofertilizer (Azotobacter + PSB) at a rate of 4 kg/ha resulted in the highest millable cane (125.4×103/ha) and cane yield (94.0 t/ha). This combination led to an increase of 78% and 24% over the sole prescribed dose of fertilizer and the absolute control, respectively. No substantial differences were observed in juice quality among treatments. The maximum agronomic use efficiency was achieved in plots treated with RDF + vermicompost + Azotobacter + PSB, exhibiting a 75% improvement over plots receiving only the recommended dose of fertilizer. The findings underscore the efficacy of integrated nutrient management as the optimal approach for fostering sustainable sugarcane production.

Intelligent identification of rice leaf disease based on YOLO V5-EFFICIENT

Rice leaf diseases is a threat to sustainable rice production. Many methods via machine learning or artificial intelligence have been used to detect rice leaf diseases. However, these methods may fail to identify them or are slow in recognition. Therefore, a YOLO V5-IMPROVEMENT model is proposed to overcome these issues. Based on YOLO V5s, the improved K-Means is utilized to generate initial anchor sizes which more fit in the experimental dataset. An attention mechanism is added to let the feature extraction layer focus more on Regions of Interest (ROIs). This improvement enhances the efficiency of feature information extraction from objects of different scales. To better detect occluded targets, the loss function is improved to strengthen the regression effect of the predicted bounding boxes. Main branch gradient flow BottleNeck Block module of Cross Stage Partial (CSP) in the Neck is improved. The Spatial Pyramid Pooling-Fast (SPPF) is replaced with the S-SPPF module to optimize the model structure and ensure real-time performance. An ablation study was conducted and the proposed YOLO V5-EFFICIENT was compared with other models. Compared with YOLO V5, the detection result of YOLO V5-EFFICIENT increased by 9.90% in terms of mAP. Compared with other approaches, the improved model can better balance detection accuracy and speed when recognizing fine features of lesions. And it is capable of handling rice leaf disease detection tasks with numerous small targets. It is suggested that YOLO V5-EFFICIENT is of high accuracy and robustness.

Impact of Rhizospheric Microbiome on Rice Cultivation.

The rhizosphere niche is extremely important for the overall growth and development of plants. Evidently, it is necessary to understand the complete mechanism of plant microbe interactions of the rhizosphere for sustainable and low input productivity. To meet the increasing global food demand, rice (Oryza sativa L.) agriculture seeks optimal conditions. The unique oxic-anoxic interface of rice-growing soil has invited divergent microbes with dynamic biogeochemical cycles. This review provides the systematic analysis of microbes associated with the major biogeochemical cycles with the aim to generate better management strategies of rhizospheric microbiome in the field of rice agriculture. For instance, several methanogenic and methanotrophic bacteria in the rice rhizosphere make an equilibrium for methane concentration in the environment. The carbon sequestration in paddy soil is again done through many rhizospheric microorganisms that can directly assimilate CO2 with their photoautotrophic mode of nutrition. Also the phosphate solubilizing microbes remain to be the most important keys for the PGPR activity of the paddy ecosystem. In addition, rhizospheric microbiome remain crucial in degradation and solubilization of organo-sulfur and insoluble inorganic sulfides which can be taken by the plants. Further, this review elucidates on the advantages of using metagenomic and metaproteomic approaches as an alternative of traditional approaches to understand the overall metabolic pathways operational in paddy-field. These knowledges are expected to open new possibilities for designing the balanced microbiome used as inoculum for intensive farming and will eventually lead to exert positive impacts on rice cultivation.

Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function

AbstractMicroalgae have received great attention recently due to its potential for sustainable CO2 emission reduction and production of biofuel. These applications are highly dependent on microalgae biomass productivity of photobioreactor (PBR). The objective of this work is to optimize continuous flow PBR at steady state using a mathematical model describes growth of the microalgae species Chlorella vulgaris. The operating conditions that affect the performance of PBR are determined as pH, CO2 percentage in the gas feed, light intensity, and dilution rate. The MATLAB optimization function (fmincon) is used to find the best design and operating variables in the tested region. The maximum biomass productivity is achieved at the upper-bound of the range for pH, CO2 percentage in the gas feed, and light intensity, while for dilution rate, there exists an optimum value that guarantees maximum productivity. The maximum biomass productivity and specific growth rate were estimated as 4.03 and 0.196 billion cells/L h, respectively. This is achieved at optimum dilution rates of 0.049 and 1.0 h−1, respectively. The fmincon optimization results agree well with the literature that used different optimization methods. The model-based optimization predicts the best performance of PBR without conducting experiments. Sensitivity analysis of model constants on biomass concentration showed that mass transfer coefficient KLa has the highest sensitivity followed by µmax, KCL, and KE which has the lowest sensitivity for biomass production. The obtained results are of technological significance for processes such as CO2-fixation and biofuel production. Research effort is needed to exploit optimization results in large-scale cultivation.

Effects of Agrivoltaics on the Microclimate in Horticulture

Chilean agriculture must adapt to climate change as droughts are already affecting the country and water availability is expected to further decline. In this context, Agrivoltaics (AV) systems, that install photovoltaic (PV) panels over crops and thus provide shading and an altered microclimate could enhance the resilience of agriculture in semi-arid zones. We compare data measured under an AV system with a reference measurement to quantify the effects of AV on microclimate in horticulture in the Metropolitan Region of Santiago, Chile. Data on irradiation, air temperature, air humidity, and wind speed allow us to compute potential evapotranspiration (PET). We observe a reduction of Global Horizontal Irradiation (GHI) under the AV system of 42%. Mainly, as a result of the decreased GHI, we derive a diminution in PET of 31%, quantifying the potential to lower the water demand of crops and thus irrigation. Measured soil moisture is on average 29% higher under the AV system compared to the reference condition, hence validating PET computations. Also, we find a more moderate climate with slightly stabilized air temperature and lower soil temperatures. Our results give a glimpse of the effects of installing PV panels over horticulture crops concerning the challenges of Chilean agriculture. AV systems have the potential to increase water availability by lowering irrigation demand and protecting crops from the effects of extreme irradiation, such as sunburn and heat stress. Thus, AV could foster the transformation of agriculture towards sustainable production systems. The documented effects should be verified over longer periods with different crops to understand the impact of AV within seasonal and interannual climatical variation and the diversity of Chilean agriculture.

Preclinical Evaluation of Biodistribution and Toxicity of [211At]PSMA-5 in Mice and Primates for the Targeted Alpha Therapy against Prostate Cancer

Astatine (211At) is a cyclotron-produced alpha emitter with a physical half-life of 7.2 h. In our previous study, the 211At-labeled prostate-specific membrane antigen (PSMA) compound ([211At]PSMA-5) exhibited excellent tumor growth suppression in a xenograft model. We conducted preclinical biodistribution and toxicity studies for the first-in-human clinical trial. [211At]PSMA-5 was administered to both normal male ICR mice (n = 85) and cynomolgus monkeys (n = 2). The mice were divided into four groups for the toxicity study: 5 MBq/kg, 12 MBq/kg, 35 MBq/kg, and vehicle control, with follow-ups at 1 day (n = 10 per group) and 14 days (n = 5 per group). Monkeys were observed 24 h post-administration of [211At]PSMA-5 (9 MBq/kg). Blood tests and histopathological examinations were performed at the end of the observation period. Blood tests in mice indicated no significant myelosuppression or renal dysfunction. However, the monkeys displayed mild leukopenia 24 h post-administration. Despite the high accumulation in the kidneys and thyroid, histological analysis revealed no abnormalities. On day 1, dose-dependent single-cell necrosis/apoptosis was observed in the salivary glands of mice and intestinal tracts of both mice and monkeys. Additionally, tingible body macrophages in the spleen and lymph nodes indicated phagocytosis of apoptotic B lymphocytes. Cortical lymphopenia (2/10) in the thymus and a decrease in the bone marrow cells (9/10) were observed in the 35 MBq/kg group in mice. These changes were transient, with no irreversible toxicity observed in mice 14 days post-administration. This study identified no severe toxicities associated with [211At]PSMA-5, highlighting its potential as a next-generation targeted alpha therapy for prostate cancer. The sustainable production of 211At using a cyclotron supports its applicability for clinical use.

Advances in and Perspectives on Transgenic Technology and CRISPR-Cas9 Gene Editing in Broccoli

Broccoli, a popular international Brassica oleracea crop, is an important export vegetable in China. Broccoli is not only rich in protein, vitamins, and minerals but also has anticancer and antiviral activities. Recently, an Agrobacterium-mediated transformation system has been established and optimized in broccoli, and transgenic transformation and CRISPR-Cas9 gene editing techniques have been applied to improve broccoli quality, postharvest shelf life, glucoraphanin accumulation, and disease and stress resistance, among other factors. The construction and application of genetic transformation technology systems have led to rapid development in broccoli worldwide, which is also good for functional gene identification of some potential traits in broccoli. This review comprehensively summarizes the progress in transgenic technology and CRISPR-Cas9 gene editing for broccoli over the past four decades. Moreover, it explores the potential for future integration of digital and smart technologies into genetic transformation processes, thus demonstrating the promise of even more sophisticated and targeted crop improvements. As the field continues to evolve, these innovations are expected to play a pivotal role in the sustainable production of broccoli and the enhancement of its nutritional and health benefits.

The influence of potassium nanoparticles as a foliar fertilizer on onion growth, production, chemical content, and DNA fingerprint

Potassium is an important macro-fertilizer for plant growth but can be lost from the soil after application via irrigation. Slow-release nano-fertilizers can achieve sustainable crop cultivation and production, so this study evaluated the influence of potassium nanoparticles (K-NPs) with various concentrations (0, 50, 100, and 200 mg/l) on onion development, production, pigments, chemical content, and DNA fingerprint during two sequential agriculture seasons in 2021 and 2022 at a private farm in Zagazig, Sharkia Governorate, Egypt. Spraying onion plants with K-NPs (200 mg/l) significantly improved the vegetative characteristics of onion plant growth and production, as well as increasing the plant pigments and the content of carbohydrate, oil, total indole, and phosphorus in onion bulbs. Similarly, 50 mg/l of K-NPs considerably increased the content of nitrogen, potassium, protein, antioxidant activity, and phenols in the onion bulbs. The content of total flavonoids and anthocyanin was increased with 100 mg/l of K-NPs. In conclusion, the foliar application of K-NPs improves the onion plant yield and quality and can achieve agricultural sustainability.

Potential application of curcumin nanoemulsions to preserve properties of refrigerated cheese

The current study focused on employing curcumin nanoemulsions (CRNEs) to maintain their quality and prolong shelf life. The three tested CRNE ratios (1.0, 1.5, and 2.00 mg/ml) passed the stability test at 40 °C, indicating that all samples were stable for 4 weeks. The pH values ranged from 5.74 to 5.75, the droplet size from 63.05 to 64.55 d nm, and the polydispersity index PDI from 0.457 to 0.494. The spherical shape of (CRNEs) formulations is demonstrated by a TEM micrograph. The zeta potentials of CRNEs ranged between −3.82 and −2.72 mV. The physicochemical parameters of Kareish cheese (KCh) and KCh-CRNEs revealed no significant protein, fat, moisture, and pH variations. Kareish cheese has a poor antioxidant activity of 19.23%, compared to 42.31% in KCh-CRNE3 (2 mg/g). Except for color, the sensory parameters results revealed no significant difference between kareish cheese and KCh-CRNEs. CRNE3 had greater efficacy as an antibacterial agent (MIC values 150 and 250) than natural Curcumin (MIC values 800 and 1000) against Staphylococcus aureus and Bacillus cereus, respectively. In vivo study of KCh-CRNEs against Bacillus cereus, the activity was reduced by (55.5 × 104 cfu/g) in KCh-CRNE3, after 12 days of storage at 4 °C. The antioxidant values were (38.02%) in KCh-CRNE3 at the end of storage with no significant change of protein content or pH for all KCh-CRNEs treatments. The findings suggest that curcumin nanoemulsions can enhance antimicrobial protection in Kareish cheese preservation, extending shelf life, and promoting healthier, more sustainable food products, benefiting both the food industry and public health.