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Impact of Viral Infection on the Structure and Diversity of Endophytic Fungal Communities in Areca Leaves
摘要: [Objectives] To elucidate the community composition of endophytic fungi in areca leaves affected by viral infection and explore the potential correlation between areca yellowingassociated viruses and endophytic fungi. [Methods] Leaf samples from healthy, yellowing, and stunted areca palms were systematically collected in August 2025 from an orchard affected by yellow leaf disease (YLD) at Dongsheng Farm, Qionghai City, Hainan Province. The infection rates of areca palm velarivirus 1 (APV1), areca palm yellowing-associated ormycovirus (APYLaOMV), and areca palm latent totivirus 1 (APLTV1) were determined using RT-PCR assay. Endophytic fungi were isolated and purified through the tissue separation method, and species identification was conducted based on ITS sequencing and homology comparison using the NCBI database. [Results] No target viruses were detected in healthy leaves. In contrast, the detection rates of APV1, APYLaOMV, and APLTV1 in diseased leaves were 60%, 50%, and 30%, respectively. A total of 81 endophytic fungal strains were isolated from 13 samples and identified as belonging to 14 genera and 37 species, all within the phylum Ascomycota. Community structure analysis revealed that the endophytic fungal communities in healthy leaves were relatively simple at the class, order, and family levels, with Nigrospora as the dominant genus. In contrast, fungal diversity increased significantly in diseased leaves, where Phyllosticta emerged as the dominant genus. Furthermore, the composition of endophytic fungi varied markedly among different leaf tissues. In the mesophyll tissue of diseased leaves, Phyllosticta and Colletotrichum were co-dominant genera, whereas Fusarium predominated in the vein tissues. In healthy leaves, Nigrospora was the dominant genus in both mesophyll and vein tissues. [Conclusions] This study identifies the predominant viral species associated with YLD in areca palms and characterizes the community structure of leaf endophytic fungi in Qionghai City. It provides essential data and theoretical foundations for further elucidating the complex pathogenic mechanisms underlying YLD in areca palms, screening effective biocontrol fungi, and developing integrated management strategies.
关键词: Yellow leaf disease (YLD), APV1, APYLaOMV, APLTV1, Endophytic fungi
Determination of Pesticide Residues in Wine Using the Relative Correction Factor Method
摘要: [Objectives] To establish a method for the simultaneous determination of five pesticide residues in wine, including metalaxyl, captan, kresoxim-methyl, tebuconazole, and difenoconazole, using QuEChERS combined with gas chromatography-tandem mass spectrometry (GC-MS/MS), and investigate the feasibility of applying the relative correction factor for multiple evaluations within a single test. [Methods] The target compounds were extracted using the QuEChERS method. Kresoxim-methyl served as the internal standard to calculate the relative correction factor for metalaxyl, captan, tebuconazole, and difenoconazole. Chromatographic peaks were identified based on their relative retention time to assess the stability of the correction factors. Method validation was performed under optimized GC-MS/MS conditions. [Results] The linearity of the five pesticides was satisfactory within the injection volume range of 0.02 to 0.8 ng. The correction factor showed robust tolerance across varying injection volumes, linear velocities, and chromatographic column conditions. The recovery rate of the added standards ranged from 79.6% to 92.7%, with a precision relative standard deviation (RSD) between 0.9% and 1.7%. The detection limits were between 0.002 and 0.006 mg/kg, while the quantification limits ranged from 0.007 to 0.02 mg/kg. [Conclusions] This method displays strong specificity, high sensitivity, and operational simplicity. When combined with the relative correction factor, it enables accurate and quantitative detection of residues of five pesticides in wine.
关键词: Wine, Correction factor, GC-MS/MS, Pesticide residue
Design and Application of a Virtual-Real Fusion Training System for Hilly Agricultural Scenarios: A Case Study on Mountain Drip Irrigation Technology
摘要: [Objectives] In response to the practical challenges encountered in the hilly agricultural equipment training within agricultural higher vocational colleges, specifically, “the inability to access real scenarios, afford actual equipment, and fully practice real processes”, a virtual-real fusion training system has been developed, and the effectiveness of this system is demonstrated through its application to mountain drip irrigation technology. [Methods] Utilizing the actual technology project titled “Research and Promotion of Integrated Application of Internet of Things Drip Irrigation Technology in Mountain Planting” as a technical blueprint, a three-tiered progressive training model comprising “virtual simulation, semi-physical joint debugging, and real scene verification” has been developed. It includes four core skill modules: terrain mapping and pipeline network design, LoRa wireless networking, fuzzy PID water and fertilizer decision-making, and cloud-edge collaborative platform operation and maintenance. The framework is also supported by a practical training management platform alongside an assessment and evaluation system. [Results] In the pilot implementation of the system at Huizhou Engineering Vocational College, the per-student training cost has been reduced by approximately 70% compared to the traditional “whole-orchard field attachment” model. Students are able to complete typical training scenarios, such as 30°slope irrigation uniformity control and 1500-m LoRa communication range, without leaving the campus. Furthermore, their capabilities in managing the entire closed-loop process have been significantly improved. [Conclusions] This system has implemented a practical training teaching reform characterized by “real project-driven, real data training, and real scene transfer”, thereby offering a replicable practical pathway for agricultural higher vocational colleges situated in hilly agricultural regions.
关键词: Virtual-real fusion, Hilly agriculture, Mountain drip irrigation, Training system, Agricultural higher vocational college, Internet of Things (IoT)
Exploring Strategies for Integrating Ideological and Political Education into Ecological Engineering Courses within the Environmental Ecological Engineering Major
摘要: Based on the educational objectives of curricula, this paper incorporates value-oriented goals such as "core socialist values", "patriotism", and the "spirit of craftsmanship", and advances ideological and political education through two primary approaches: innovating educational concepts and expanding teaching content. The three guiding principles—"teaching and nurturing students", "student-centeredness", and "continuous improvement"—are rigorously implemented. Basic knowledge is integrated with the frontiers of various disciplines, while professional knowledge is applied to major national and typical regional ecological engineering cases. In the implementation of teaching, it is essential to explore the integration points of ideological and political education into scientific thinking, social responsibility, and professional ethics. Relying on modern information technology, the adoption of BOPPPS teaching design and diversified assessment and evaluation methods can facilitate the effective unification of knowledge transmission and value guidance. This approach offers a valuable reference for the development of curriculum-based ideological and political education in the Environmental Ecological Engineering major.
关键词: Ecological engineering, Ideological and political education, Educational objective, Teaching content, Teaching method