This paper aims to contribute to guaranteeing the stable development and enhancing the understanding of ecological agriculture of Chinese materia medica so that the national strategy and industrial demand can be better served. It first introduces current traditional Chinese medicine(TCM)policy and industrial development status from five aspects, including policy guarantee, theoretical support, technological innovation, standardization system, and brand influence. Then, the paper analyzes the development dilemma of TCM agriculture in production and quality increase and ecological environment protection. It also proposes the development goals of ecological agriculture of Chinese materia medica that meet the current industrial development demand, which are reducing chemical fertilizers, pesticides, and carbon emissions, improving quality, increasing efficiency, and protecting ecological environment. In addition, the new development goals are interpreted through case studies. Finally, this paper proposes four development strategies for ecological agriculture of Chinese materia medica: conducting research on the pattern and spatial and temporal variations of nationwide TCM production areas; studying the internal and external ecological memories of medicinal plant growth from the perspectives of genetic variations and environmental adaptation variations and elucidating their contributions to the formation of quality; carrying out selection and breeding of stress-resistant varieties for ecological agriculture of Chinese materia medica, the optimization of key technologies for soil improvement and restoration and green prevention and control against diseases and pests, and the improvement of quality; carrying out research on the quality assurance and value realization of ecological products made from TCM. This research can provide guidance for policy formulation, theoretical development of the discipline, and the enhancement of industrial technology for ecological agriculture of Chinese materia medica.
Agriculture/methods* ; China ; Drugs, Chinese Herbal ; Plants, Medicinal/chemistry* ; Ecosystem ; Materia Medica ; Medicine, Chinese Traditional

Agriculture, the strategic cornerstone of national long-term stability, is undergoing a fundamental shift from resource-dependent to technology-driven, driven by global food security and ecological conservation needs. Traditional agriculture can no longer sustain the growing food demand. Scientific and technological advancements are fundamental guarantees for ensuring food supply security and are the primary driver for future agricultural development. This special issue compiles the latest research advancements from diverse experts, covering fields such as microbe-driven green agriculture, pesticide technology innovation, intelligent agricultural machinery, smart manufacturing, and molecular design breeding fundamentals. It aims to inspire researchers to explore cutting-edge directions in future agriculture, promote interdisciplinary collaboration and technological integration, and thereby drive innovative breakthroughs and industrial transformation in agricultural modernization.
Agriculture/methods* ; Crops, Agricultural/genetics* ; Food Supply ; Biotechnology ; Pesticides

The production of healthy agricultural products has increased the demand for innovative and sustainable plant protection technologies, and the rapid advancement of nanotechnology has brought revolutionary breakthroughs to traditional agriculture. Nanocarrier-based drug delivery systems can not only significantly improve the utilization efficiency of pesticides, achieving enhanced efficacy and reduced application, but also decrease the pesticide residues and environmental pollution. Additionally, they have made breakthrough progress in the stability and persistence of RNA pesticides. This review summarized the research progress on nanopesticides and RNA pesticides, focusing on the mechanisms of nanocarriers in improving pesticide bioactivity and RNA interference (RNAi) efficiency. It also systematically summarized the types of nanomaterials and their applications in pest and disease management and provided an in-depth outlook for the future development of nanopesticides and RNA pesticides, which provided technical support for the high-quality development of agriculture in the future.
Pesticides/chemistry* ; Nanotechnology ; Nanostructures ; RNA ; Agriculture/methods* ; RNA Interference ; Drug Delivery Systems

Accurately obtaining the crop quantity and density is not only crucial for the demand-based input of water and fertilizer in the field but also vital for ensuring the yield and quality of crops. Aerial photography by unmanned aerial vehicles (UAVs) can quickly acquire the distribution image information of crops over a large area. However, the accurate recognition of a single type of dense targets is a huge challenge for most recognition algorithms. Taking banana seedlings as an example in this study, we captured the images of banana plantations by UAVs from high altitudes to explore an efficient recognition method for dense targets. We proposed a strategy of "cut-recognition-stitch" and constructed a counting method based on the improved Faster R-CNN algorithm. First, the images containing highly dense targets were cropped into a large number of image tiles according to different sizes (simulating different flight altitudes), and the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was adopted to improve the image quality. A banana seedling dataset containing 36 000 image tiles was constructed. Then, the Faster R-CNN network with optimized parameters was used to train the banana seedling recognition model. Finally, the recognition results were reversely stitched together, and a boundary deduplication algorithm was designed to correct the final counting results to reduce the repeated recognition caused by image cropping. The results show that the recognition accuracy of the Faster R-CNN with optimized parameters for banana image datasets of different sizes can reach up to 0.99 at most. The deduplication algorithm can reduce the average counting error for the original aerial images from 1.60% to 0.60%, and the average counting accuracy of banana seedlings reaches 99.4%. The proposed method effectively addresses the challenge of recognizing dense small objects in high-resolution aerial images, providing an efficient and reliable technical solution for intelligent crop density monitoring in precision agriculture.
Musa/growth & development* ; Crops, Agricultural/growth & development* ; Algorithms ; Neural Networks, Computer ; Unmanned Aerial Devices ; Seedlings/growth & development* ; Image Processing, Computer-Assisted/methods* ; Photography ; Agriculture/methods*

Recently, returning straw to the fields has been proved as a direct and effective method to tackle soil nutrient loss and agricultural pollution. Meanwhile, the slow decomposition of straw may harm the growth of the next crop. This study aimed to determine the effects of rumen microorganisms (RMs) on straw decomposition, bacterial microbial community structure, soil properties, and soil enzyme activity. The results showed that RMs significantly enhanced the degradation rate of straw in the soil, reaching 39.52%, which was 41.37% higher than that of the control on the 30th day after straw return. After 30 d, straw degradation showed a significant slower trend in both the control and the experimental groups. According to the soil physicochemical parameters, the application of rumen fluid expedited soil matter transformation and nutrient buildup, and increased the urease, sucrase, and cellulase activity by 10%‒20%. The qualitative analysis of straw showed that the hydroxyl functional group structure of cellulose in straw was greatly damaged after the application of rumen fluid. The analysis of soil microbial community structure revealed that the addition of rumen fluid led to the proliferation of Actinobacteria with strong cellulose degradation ability, which was the main reason for the accelerated straw decomposition. Our study highlights that returning rice straw to the fields with rumen fluid inoculation can be used as an effective measure to enhance the biological value of recycled rice straw, proposing a viable solution to the problem of sluggish straw decomposition.
Animals ; Rumen/metabolism* ; Agriculture/methods* ; Soil/chemistry* ; Microbiota ; Bacteria/metabolism* ; Oryza/metabolism* ; Soil Microbiology ; Cellulose

Gastrodia elata is a kind of precious traditional Chinese medicine. In the process of cultivation of G. elata, due to the influence of continuous cropping obstacles and other factors, the fungus materials and land that have been planted with G. elata are often abandoned, resulting in a great waste of resources. Based on the planting characteristics of G. elata and Phallus impudicus and the previous research experience in ecological agriculture, this paper analyzed the ecological adaptability characteristics of G. elata and P. impudicus, and summarized the key techniques of the G. elata-P. impudicus sequential planting pattern. Keeping track of the planting area, fungus-growing materials consumption and market sales of G. elata-P. impudicus sequential planting pattern, the ecological benefits of G. elata-P. impudicus sequential planting pattern from the aspects of utilization rate of fungus-growing materials were analyzed, the value of land resources per unit area, ecological environmental protection, labor cost and economic benefits were consi-dered. The technical principle of G. elata-P. impudicus sequential planting pattern was expounded according to their ecological habit, the season of harvest and planting, the difference of composition of fungus-growing materials, and the microbial ecology. The sequential planting pattern of G. elata-P. impudicus not only realized the double production of medicinal materials and edible fungi, reduced the waste of old fungus-growing materials, but also transformed the energy from nutrition-supplied fungi to edible and medicinal fungi, which guaranteed the ecological recycling and utilization of G. elata in the process of cultivation.
Agaricales/growth & development* ; Agriculture/methods* ; Gastrodia/growth & development* ; Medicine, Chinese Traditional ; Plants, Medicinal/growth & development*

Salvia miltiorrhiza is one of the commonly used bulk medicinal materials, which has significant effect on cardiovascular disease, and are heavy demanded in Asia, Europe, North America, Russia and Africa. Consequently, increasing the yield and quality of S. miltiorrhiza has become a major concern worldwide. With the current wild resources of S. miltiorrhiza gradually decreasing, cultivated products occupy most of the markets. However, the cultivation area is widely distributed and the cultivation techniques is different, which lead to the quality and yield of S. miltiorrhiza in consistent. This paper combined visiting survey with document analysis to carry out the cultivation situation of S. miltiorrhiza in main cultivation areas of Shandong, Henan, Sichuan, Shanxi and Hebei provinces. There exist big differences of the ecological environment, mode of cultivation, fertilization, pest control, harvesting processing among the producing areas. We should carry on the ecological suitability zoning analysis and suitable cultivation of each area study to form a pattern of high quality and high yield for the sustainable development of S. miltiorrhiza cultivation.
Agriculture ; methods ; Europe ; Plants, Medicinal ; growth & development ; Salvia miltiorrhiza ; growth & development

Indoor animal husbandry environments are inevitably contaminated with endotoxins. Endotoxin exposure is associated with various inflammatory illnesses in animals. This cross-sectional study evaluated the relationship between the degree of endotoxin exposure and the cellular and humoral immune profiles of fattening pigs. Blood samples were taken from the jugular vein of 47 pigs from ten pig farms in Korea. Whole blood cell counts and plasma immunoglobulin (Ig) classes were determined. Peripheral-blood mononuclear cells were stimulated in vitro with concanavalin A for 48 h, and cytokines released into culture supernatants were measured. The barns in which the pigs lived were assessed for endotoxin levels in the total and respirable dust by using the limulus amebocyte lysate kinetic QCL method. Low and high endotoxin exposures were defined as ≤ 30 and > 30 EU/m³, respectively. Compared to pigs with low endotoxin exposure (n = 19), highly exposed pigs (n = 28) had higher circulating neutrophil and lymphocyte (particularly B cells) counts, IgG and IgE levels, interferon-gamma (IFNγ) and interleukin (IL)-4 productions, and lower IgA levels and tumor necrosis factor-alpha (TNFα) production. The IL-4, IFNγ, and TNFα levels significantly correlated with endotoxin level and/or pig age. Constant exposure of pigs to high levels of airborne endotoxins can lead to aberrant immune profiles.
Agriculture ; Animal Husbandry ; Animals ; Blood Cell Count ; Concanavalin A ; Cross-Sectional Studies ; Cytokines ; Dust ; Endotoxins ; Horseshoe Crabs ; Housing ; Immunity, Cellular ; Immunoglobulin A ; Immunoglobulin E ; Immunoglobulin G ; Immunoglobulins ; In Vitro Techniques ; Interferon-gamma ; Interleukin-4 ; Interleukins ; Jugular Veins ; Korea ; Lymphocytes ; Methods ; Neutrophils ; Plasma ; Swine ; Tumor Necrosis Factor-alpha

Porcine reproductive and respiratory syndrome (PRRS) is recognized as one of the most important infectious diseases causing serious economic loss in the swine industry worldwide. Due to its increasing genetic diversity, a rapid and accurate diagnosis is critical for PRRS control. The immunochromatographic strip test (ICST) is a rapid and convenient type of immunoassay. In this study, an on-site immunochromatographic assay-based diagnostic method was developed for detection of PRRS virus (PRRSV)-specific antibodies. The method utilized colloidal gold nanoparticle-labeled dual-type nucleocapsid proteins encoded by open reading frame 7. We evaluated 991 field samples from pig farms and 66 serum samples from experimentally PRRSV-inoculated pigs. Based on true PRRSV-specific antibody-positive or
Agriculture ; Antibodies ; Colloids ; Communicable Diseases ; Diagnosis ; Enzyme-Linked Immunosorbent Assay ; Fluorescent Antibody Technique ; Genetic Variation ; Gold Colloid ; Immunoassay ; Immunochromatography ; Immunoglobulin M ; Methods ; Nucleocapsid Proteins ; Open Reading Frames ; Porcine Reproductive and Respiratory Syndrome ; Porcine respiratory and reproductive syndrome virus ; Sensitivity and Specificity ; Swine

Staphylococcus aureus is one of the major pathogens causing bovine mastitis and foodborne diseases associated with dairy products. To determine the genetic relationships between human and bovine or bovine isolates of S. aureus, various molecular methods have been used. Previously we developed an rpoB sequence typing (RSTing) method for molecular differentiation of S. aureus isolates and identification of RpoB-related antibiotic resistance. In this study, we performed spa typing and RSTing with 84 isolates from mastitic cows (22 farms, 72 cows, and 84 udders) and developed a molecular prophage typing (mPPTing) method for molecular epidemiological analysis of bovine mastitis. To compare the results, human isolates from patients (n = 14) and GenBank (n = 166) were used for real and in silico RSTing and mPPTing, respectively. Based on the results, RST10-2 and RST4-1 were the most common rpoB sequence types (RSTs) in cows and humans, respectively, and most isolates from cows and humans clearly differed. Antibiotic resistance-related RSTs were not detected in the cow isolates. A single dominant prophage type and gradual evolution through prophage acquisition were apparent in most of the tested farms. Thus, RSTing and mPPTing are informative, simple, and economic methods for molecular epidemiological analysis of S. aureus infections.
Agriculture ; Animals ; Cattle ; Computer Simulation ; Dairy Products ; Databases, Nucleic Acid ; Drug Resistance, Microbial ; Female ; Foodborne Diseases ; Humans ; Mastitis, Bovine ; Methods ; Molecular Epidemiology ; Prophages ; Staphylococcus aureus ; Staphylococcus