Vol. 24 No. 5 (2026): Tạp chí Khoa học Nông nghiệp Việt Nam

The experiment was conducted to evaluate the effects of eggshell powder, lime and foliar fertilizers on growth and yield of mungbean cv. DX208 in the spring season in Thanh Hoa. A two factor experiment was arranged in split-plot design with 3 replications. The main plot factorr was calcium fertilization type (500 kg/ha of lime powder, 300 kg/ha of eggshell powder), while the subplot factor factor was the types of foliar fertilizers (P0: Spraying with plain water; P1: Spraying with FITO; P2: Spraying with BOLAS; P3: Spraying with SEAWEED 95%; P4: Spraying with Dau Trau MK (30-10-5 + TE)). Research results show that growth and yield parameters of mungbean cv. DX208 reached high value when applied eggshell powder. Comparing different foliar fertilizers, spraying with SEAWEED 95% produced the highest values ​​for growth and yield parameters. In summary, application with 300 kg/ha of eggshell powder combined with foliar fertilizer SEAWEED 95% was suitable for growth and development, resulting in the highest yield (1.38 tons/ha) in the spring season in Thanh Hoa.

This study assessed the species composition, density, and spatial distribution of shrimp broodstocks in the coastal (nearshore) and inshore (offshore) zones of Thanh Hóa Province based on 120 samples collected at 40 stations during three sampling periods in October 2024, February 2025, and April 2025. Samples were collected using specialized nets, identified following standard taxonomic references, and analyzed using non-parametric statistical methods. The results recorded 18 shrimp families and 31 species, with community structure strongly dominated by the family Sergestidae. Temporally, species richness and shrimp density (excluding Sergestidae) were highest in October 2024 (1,942 ± 337), declined markedly in February 2025 (1,025 ± 222), and increased again in April 2025 (1,664 ± 217), clearly reflecting seasonal patterns in the reproductive cycle. Shrimp density in the inshore zone (6,168 ± 702) was higher than in the coastal zone (2,325 ± 312) and was jointly influenced by sampling month, marine zone, and their interaction. Shrimp broodstock was mainly concentrated around the Hòn Mê area, confirming this region as an important natural spawning and nursery ground. These findings provide a scientific basis for zoning protection measures and the sustainable management of shrimp resources in the sea waters of Thanh Hoa province.

Avian pathogenic Escherichia coli (APEC) causes colibacillosis in avian species. Virulence-associated genes (VAGs) and pathogenicity islands (PAIs) in APEC play a crucial role in the pathogenicity of this bacterium, leading to severe disease in chickens. In this study, multiplex PCR (mPCR) and PCR reaction were established to identify virulence-associated genes in Escherichia coli (E. coli), including adhesin-related genes (eaeA and tsh), iron acquisition genes (fyuA, iroN and iutA), toxin-related gene (hlyF) and protectins genes (iss and ompT). The results showed that 42 out of 100 (42%) samples were positive for E. coli. The isolated E. coli strains exhibited several biological characteristics, including gram staining, H2S production, indole production, urease, catalase and oxidase tests, as well as the fermentation in TSI medium, consistent with previous studies on E. coli. When evaluating the frequency of virulence-associated genes in E. coli, the ompT gene showed the highest frequency at 90.5%, followed by iutA (85.7%), hlyF (78.6%), iss (64.3%), iroN (61.9%), fyuA (40.5%), tsh (23.8%), and eaeA (16.7%). Among the 42 APEC strains, 33/42 (78.6%) strains harboured combinations of 4 to 7 virulence-associated genes and were classified as APEC, whereas 9/42 (21.4%) isolates carried only a single virulence gene. The biochemical characteristics observed in the APEC isolates were comparable to those reported for the reference strain Escherichia coli ATCC® 25922™.

Actinobacillus pleuropneumoniae is the causative agent of contagious pleuropneumonia in pigs, resulting in significant economic losses to the swine industry, while the increasing prevalence of antibiotic resistance has reduced the effectiveness of treatment strategies. This study aimed to isolate and identify A. pleuropneumoniae from pigs suspected of respiratory disease and to evaluate the antibiotic susceptibility profiles of the isolated strains from commercial pig farms in Hung Yen Province and Hanoi City, Vietnam. Lung tissue samples were collected from 52 pigs showing clinical signs of Pleuropneumonia. Bacterial isolation was performed on blood agar supplemented with nicotinamide adenine dinucleotide (NAD), followed by identification using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) in combination with biochemical tests. Minimum inhibitory concentrations (MICs) were determined by the agar dilution method for eight antibiotics commonly used in veterinary practice. The results showed that A. pleuropneumoniae was isolated from 17 out of 52 samples (32.69%). High resistance rates were observed for tetracycline (88.24%), ampicillin (70.59%), and florfenicol (64.71%), whereas the isolates remained highly susceptible to tiamulin. Overall, 58.82% of the isolates were classified as multidrug-resistant, exhibiting various resistance phenotypes. These findings highlight the urgent need for stringent control measures on antibiotic use in livestock production to mitigate the emergence and spread of antimicrobial resistance and to improve therapeutic outcomes.

Climate change and sea level rise pose significant challenges to coastal areas, particularly in land use planning and management. This study aimed to calculate the inundated areas of different land use types in coastal communes of Thanh Hoa province under various sea level rise scenarios. The datasets used included the SRTM Digital Elevation Model (Shuttle Radar Topography Mission DEM), ESRI 10m Global Land Cover data, administrative boundaries, and sea level rise scenarios published by the Ministry of Natural Resources and Environment (MONRE, 2020), corresponding to the RCP (Representative Concentration Pathways) 4.5, and RCP 8.5 scenarios for the years 2050 and 2080. The analysis was conducted on the Google Earth Engine (GEE) platform. The results show that the total area at risk of inundation was projected to increase from 5.477,04ha (RCP 4.5 - 2050) to 6.875,82ha (RCP 8.5 - 2080). Water surface areas were the most affected land type, while built-up and agricultural lands showed a notable increase in flood risk, particularly in Sam Son, Hoang Thanh, and Hoang Chau communes. The study highlighted the urgent need to integrate climate change scenarios into coastal land use planning, spatial analysis, and decision-making processes.

This study aimed to clarify the current capacity status of OCOP enities in Lai Chau for proposing solutions to promote the maintenance and development of OCOP products in the region. Based on foundational theories of capacity, this research developed capacity evaluation criteria for OCOP entities including: (i) Resources;  (ii) Knowledge; and (iii) Business Operations and investigated samples of 48 OCOP entities in Lai Chau province to. The findings indicated that the capacity of Lai Chau OCOP entities in Lai Chau was limited in terms of financial resources, human resources, technological application, and value chain linkages. In particular, the OCOP cooperatives were at a greater disadvantage compared to enterprises and business households. To improve this situation, OCOP entities need to proactively enhance together the solutions of their managerial capacity, financial resources, digital technology adoption, and business network development to create favorable conditions for sustaining and developing OCOP products.

This paper analyzed the implementation of policies supporting the development of coastal aquaculture of Hung Yen Province in the context of restructuring the spatial framework for the marine economy. The study combined secondary data from state management reports with primary data collected through surveys of 40 management officials and 160 beneficiaries. Descriptive statistical methods and qualitative analysis were applied to process and analyze the data. The results indicate that support policies contributed to the expansion of concentrated aquaculture zones, promoted the adoption of technical advances, and increased the area under high-technology aquaculture. However, policy implementation effectiveness remained uneven, revealing limitations in access to legally secured land, specialized irrigation infrastructure, access to credit, quality of training and extension services, and the sustainability of trade promotion activities. Based on these findings, the paper proposed solutions including improving land policies and aquaculture zoning, prioritizing investment in aquaculture infrastructure, reforming training and extension services, strengthening value chain linkages, and enhancing the effectiveness of policy monitoring and evaluation.

Although agriculture plays an important role in ensuring food security, it remains a significant source of CO2 emissions in Vietnam. In the context of promoting green agriculture with low emissions, this study examines the relationship between CO2 emissions, fertilizer use, and cereal cultivated area over the period 1976-2023, using data from WDI and FAOSTAT. The NARDL model is applied to analyze asymmetric effects in both the short run and the long run. The results show that fertilizer is the most influential factor: an increase in fertilizer use leads to a clear and lasting rise in CO2 emissions, while a reduction only results in a limited decrease. The cultivated area has no effect in the short run, but reducing the area helps lower emissions in the long run. These findings confirm that the relationship between agricultural inputs and CO2 emissions is non-linear and asymmetric over time, implying that policies should be designed based on the direction of change (increase or decrease) and time horizon (short run and long run) to support the development of low-emission green agriculture.

This study aimed to identify and rank the importance of social media communication factors influencing tourists' destination choice intention toward Ninh Binh. Based on an integrated framework combining the Elaboration Likelihood Model and Media Richness Theory, five key factors were examined: information quality, source credibility, information volume, platform characteristics, and social interaction. Data were collected through expert interviews involving multiple stakeholder groups engaged in social-media-based destination information seeking and selection. The data were subsequently analyzed using the Fuzzy Analytic Hierarchy Process to address uncertainty in multi-criteria evaluation across different stakeholder perspectives. The results indicated that the examined factors varied in their level of importance, with information quality and source credibility ranked as the most influential. 

This paper focused on systematizing the theoretical issues related to the application of digital technologies in agriculture. The study employeda comprehensive review combined with content analysis and synthesis of studies on digital agriculture. The findings indicated that digital technologies in agriculture should not be viewed as a collection of standalone technical solutions but as an integrated system in which data play a central role, connecting technologies such as IoT, AI, Big Data, UAVs, and Blockchain along the agricultural value chain. Digital technologies can be functionally categorized into three main groups: enhancing production efficiency, strengthening resilience to risks, and promoting sustainable agricultural development. The application of digital technologies in agriculture is influenced by multiple factors, including institutional and policy frameworks, digital infrastructure, farmers’ capabilities, investment costs, natural conditions, and coordination mechanisms among stakeholders. The study provides a theoretical foundation for developing analytical frameworks and suggests directions for future empirical research to inform policies that promote effective and sustainable digital transformation in agriculture.

Live-streaming commerce has emerged as a dynamic tool in the digital transformation of the agricultural sector, enabling real-time interactions between producers and consumers. This study employs a bibliometric approach to map the academic landscape of live-streaming commerce in agriculture, drawing on 34 publications from the Scopus database between 2010 and 2025. Using VOSviewer and Biblioshiny, the study conducts analyses to identify research trends, influential authors, institutions, and subject groups. The results show a sharp increase in publications since 2022, highlighting China’s leading role in both volume and international collaboration. Five primary research directions were identified. This study contributes to consolidating the fragmented literature in this emerging field and provides future research directions, especially in integrating behavioral, technological, and sustainability perspectives

The study employed a bibliometric approach to systematically map the trends in public administration and economic growth during the 2001-2024 period. The analysis was based on 621 documents retrieved from the Scopus database and analyzed using VOSviewer and Microsoft Excel software. The results highlighted prominent authors in the public administration and economic growth literature, including Acemoglu, Glaeser, Kaufmann, and Dollar & Kraay, which reflected the critical importance of public administration studies for economic growth. The United Kingdom and the United States served were the two dominant research centers, possessing superior total link strength. Meanwhile, China, Malaysia, and Vietnam were emerging with increasing contributions. Vietnam has achieved 22 publications and 607 citations, demonstrating its developing position within the regional academic network. Additionally, several new research trends were emerging in this field, such as smart public administration and technology, significantly impacting economic growth.

In the era of Industry 4.0, the application of digital technology is considered a critical factor and a breakthrough for the development of cooperatives. Utilizing technologies such as big data, cloud computing, and the Internet of Things helps cooperatives enhance economic value, develop appropriate business strategies, optimize operations and production processes, improve labor productivity and business efficiency, increase transparency, and strengthen competitiveness in the market. This study provides an overview of theoretical and practical applications of digital technology in cooperatives in Vietnam, identifies existing challenges, and proposes solutions to promote the adoption of digital technology in cooperatives.