602 results about "Epidemic disease" patented technology

The invention discloses a livestock epidemic disease early warning method and system based on big data analysis, and the method comprises the steps: generating a preliminary epidemic situation diffusion path through employing the farm distribution and traffic network data of a geographic information system in combination with a space-time propagation model, and carrying out the dynamic adjustment according to the real-time updated data; predicting a high-risk area by adopting a multi-source data fusion early warning model; the strain mutation risk is judged by analyzing the relevance between pathogen genomes and environmental parameters; deploying a deep learning model at an edge computing node, analyzing animal husbandry behaviors and voiceprint data in real time, and evaluating the animal husbandry health state; and integrating mutation risk analysis and animal husbandry health assessment results to generate a comprehensive epidemic situation early warning report. Through multi-dimensional data analysis and edge intelligent calculation, accurate early warning of animal epidemic situations is realized, and a scientific basis is provided for epidemic situation prevention and control.

The invention discloses a phytophthora plant pathogenic oomycete histone lysine methyl transfer protein as well as a coding gene and application thereof. Wherein the phytophthora sojae histone lysine methyltransferase KMT3-1 is as shown in a sequence 2 in the specification, and the phytophthora sojae histone lysine methyltransferase KMT3-1 is as shown in a sequence 2 in the specification; the coding gene is shown as a sequence 1. Experiments prove that the KMT3-1 protein plays an important role in the growth and development process of phytophthora sojae, specifically, after the protein is deleted, the growth rate of phytophthora hyphae is slowed down, the sporangium yield is remarkably reduced, the release of zoospores is stopped, the oospore yield is reduced, the pathogenicity is reduced, and the like. Corresponding histone methyltransferase inhibitors have different degrees of activity on typical plant pathogenic oomycetes such as phytophthora sojae, phytophthora capsici and phytophthora infestans. The gene provided by the invention has great application potential in the aspect of preventing and controlling the crop epidemic diseases caused by phytophthora plant pathogenic oomycetes, and a novel bactericide developed on the basis of the protein as an action target has important practical significance in controlling the occurrence and prevalence of the crop epidemic diseases caused by phytophthora.

The invention discloses a medical consumable monitoring system based on data analysis, and relates to the field of medical consumable monitoring based on data analysis. Comprising a data acquisition module, a medical consumable consumption analysis module, a medical consumable level analysis consumable module, a medical consumable demand analysis module, a department consumable consumption analysis module, a consumable monitoring and early warning module and a database. The consumption record of each medical consumable, the consumption of each medical consumable in each quarter and the consumption of each medical consumable of different epidemic diseases are judged and analyzed, and then the supply parameters of the medical consumables, the storage parameters of the medical consumables and the consumption parameters of the consumables in departments are subjected to statistical analysis; according to the method, the required amount of each month time period corresponding to each medical consumable and the consumption value of each consumable corresponding to each department are obtained, various conditions such as seasons and diseases can be considered in multiple aspects, the consumable cost can be reduced, meanwhile, the consumable use condition of each department can be monitored, and early warning can be given out for abnormal conditions.

The invention relates to the technical field of food safety intelligent tracing, and discloses a livestock and poultry product epidemic disease and tracing information quality tracing system based on artificial intelligence. The system comprises a raw material file construction module, an abnormal active prediction module, a multi-modal information fusion module, a tracing knowledge graph construction module and an intelligent tracing decision module. The system generates a raw material archive by collecting livestock and poultry raw material information, and analyzes production monitoring data in real time by using a time sequence model to actively predict abnormal nodes of epidemic diseases. After the abnormity is recognized, multi-link heterogeneous traceability information is synchronously called and fused, an abnormal event panorama is generated, and then a traceability knowledge graph is dynamically constructed in combination with an external knowledge base. And finally, automatically generating an optimized traceability query path according to the knowledge graph, and driving a precise traceability process. According to the invention, the conversion from passive recording to active early warning is realized, and the accuracy and efficiency of epidemic disease tracing are improved through deep fusion and intelligent reasoning of multi-source information.

The invention relates to the technical field of livestock medicine management and control, in particular to a medicine delivery system based on livestock veterinary epidemic prevention, and the system comprises a data collection and fluctuation rate analysis module which is used for collecting livestock farm environment data and animal health data, aggregating the environment data and the health data layer by layer in a recursive layering manner, and obtaining a multi-level livestock farm data set, calculating the change range of the animal health data in the multi-level data set, determining the range of volatility, and generating abnormal fluctuation mark data. According to the method and the system, the environmental data and the animal health parameters of the livestock farm are subjected to recursive hierarchical aggregation, so that the fluctuation condition of the data is comprehensively monitored. By marking the high fluctuation item with the abnormal fluctuation range exceeding the safety threshold, the potential epidemic disease risk can be quickly identified. By referring to influence factors of high fluctuation items on epidemic disease occurrence and dynamically adjusting risk values, the system can reflect potential influences of changes of environment and health conditions on epidemic disease transmission in real time.

The invention relates to the technical field of virtual simulation, and particularly discloses a sudden major respiratory infectious disease on-site epidemiological investigation virtual simulation experiment system which comprises a virtual scene management module, a data management module, a disease transmission simulation module, an epidemiological analysis module, a virtual on-site interaction module, a learning support module and an analysis and evaluation module. The virtual scene management module is used for creating and managing a simulation experiment environment and simulating an epidemic background and a development process of sudden major respiratory infectious diseases; the data management module is used for simulating the process of collecting case information, environment information and social contact data when students perform on-site epidemiological investigation; according to the system, big data analysis, the GIS technology and an AI intelligent analysis tool are integrated, a disease transmission path and a development trend are simulated, and virtual simulation not only helps students to master how to support a decision through scientific data, but also can improve the emergency response capability and the comprehensive analysis capability of the students in a complex epidemic situation.

The invention relates to the technical field of animal monitoring, and provides a wild animal epidemic disease monitoring, prevention and control method and system based on artificial intelligence, and the system collects the video stream, the shell temperature, the air pathogen concentration, the sound characteristics, the VOCs spectrogram and other data of wild animals in real time through arranging multi-mode sensor nodes. Real-time reasoning is carried out through a wildness degree AI model in the edge calculation unit, the health state and epidemic disease risk of animals are evaluated, a multi-source risk knowledge graph and a graph neural network are combined, an epidemic situation occurrence probability threshold value is dynamically adjusted by the system, and accurate prevention and control instructions such as risk area division, isolation early warning and material putting schemes are generated; after the epidemic disease risk is confirmed, the system sends early warning information to a prevention and control center through various communication links, and continuously optimizes a prevention and control strategy through reinforcement learning. According to the method, intelligence and precision of epidemic disease prevention and control of wild animals are achieved, complex ecological environment changes can be coped with in real time, and prevention and control efficiency and accuracy are remarkably improved.

The invention discloses a new application of aspergillus flavus in prevention and treatment of epidemic blight of Eupin, and relates to the technical field of microbial prevention and treatment, the aspergillus flavus is CZB-13, the taxonomic name of the aspergillus flavus is Aspergillus flavus, the strain is preserved in China Center for Type Culture Collection on July 8, 2024, the preservation address is Wuhan University, Wuhan, China, and the preservation number is CCTCC NO: M 20241494. The aspergillus flavus CZB-13 provided by the invention has a remarkable inhibition effect on the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight of the epidemic blight. The method is also of great significance in protecting the ecological environment and promoting green prevention and control of epidemic diseases of the elaeagnus plants.

The invention relates to the technical field of bird flu host species identification, in particular to a new bird flu high-risk host species identification method based on virus sharing entropy. According to the method, on the basis of spatial distribution prediction of bird flu host species, the bird flu virus sharing entropy of the bird flu host species is calculated species by species according to the overlapping areas of the target host species and all other host species by extracting the distribution area overlapping area of the target host species and any other host species, and the bird flu virus sharing entropy of the bird flu host species is obtained. And quantitatively analyzing the possibility that the target host species and other host species are subjected to avian influenza cross-species transmission infection. By comparing and analyzing the entropy value of the shared entropy of the avian influenza virus, the avian influenza host species with high virus reassortment risk are identified, and a scientific basis is provided for prevention and control of epidemic diseases.

The invention provides a method for simultaneously detecting three hematogenous parasites based on RAA-LFS and application of the method. The method comprises the following steps: firstly, screening target genes of genomic DNA of specific amplified toxoplasma gondii, babesia and plasmodium and primers of the target genes; a primer and probe combination for specifically amplifying the 18s rRNA-1 gene of the toxoplasma gondii, the 18s rRNA-2 gene of the babesia and the 18s rRNA-3 gene of the plasmodium is determined; rapid multiple detection is completed in a reaction system by utilizing an RAA constant-temperature amplification technology, and a detection result is intuitively judged by combining a lateral flow chromatography test strip, so that the detection efficiency is greatly improved, and the result can be obtained in a short time. The RAA-LFS detection method provided by the invention has remarkable advantages in application scenes such as epidemic disease prevention and control or blood screening.

The present invention belongs to the field of biotechnology and relates to a five - plex fluorescence PCR detection reagent for Salmonella, Salmonella enteritidis, Salmonella typhimurium, Salmonella pullorum and Salmonella gallinarum and its application. By using the five - plex fluorescence PCR detection reagent of the present invention, the purpose of simultaneously identifying and detecting Salmonella enteritidis, Salmonella typhimurium, Salmonella pullorum and Salmonella gallinarum can be achieved. It has the advantages of simple operation, rapidity, high accuracy, high sensitivity and good repeatability, and is of great significance for the rapid and accurate detection of clinical animal salmonellosis and epidemic disease prevention and control.

The invention relates to the technical field of epidemic disease prediction, and discloses an intelligent epidemic disease prediction system based on deep learning. A multivariate data acquisition module of the system acquires environmental meteorological data, population flow data, medical resource distribution data and historical epidemic situation propagation data related to epidemic diseases in real time; a deep learning prediction module analyzes regional propagation dynamic characteristics through a space-time diagram neural network according to the multi-source data; a risk area identification module constructs an area risk level thermodynamic diagram according to the area propagation dynamic characteristics, and identifies a high-risk area of which the risk level exceeds a preset threshold value; and the resource matching analysis module calculates the resource coverage range of each medical institution in combination with the medical resource distribution data and the spatial position of the high-risk region. The system can integrate multi-source data, accurately analyze the epidemic propagation trend, intelligently identify high-risk areas, realize reasonable matching of medical resources, and provide effective technical support for epidemic prevention and control.

The invention discloses an ADF protein from phytophthora as well as a coding gene and application thereof. According to the present invention, the PsADF protein provided by the present invention is the protein represented by sequences 2 and 5 in Phytophthora sojae (Phytophthora sojae); the coding gene is shown as a sequence 3 and a sequence 4. Tests prove that the protein provided by the invention plays an important role in the growth and development process of phytophthora sojae, specifically, after the 64-site mutation of the key amino acid functional site of the protein, the sporangium abnormality and zoospore quantity of the phytophthora sojae are reduced, and the pathogenicity is reduced. The protein provided by the invention has very high application value in control of epidemic disease occurrence and epidemic caused by phytophthora, and provides a molecular target for research and development of novel bactericides in the future. The corresponding ADF inhibitors have different degrees of activity on typical plant pathogenic oomycetes such as phytophthora sojae, phytophthora capsici and phytophthora infestans. The protein provided by the invention has great application potential in the aspect of preventing and controlling the crop epidemic diseases caused by phytophthora plant pathogenic oomycetes, and a novel bactericide developed based on the protein as an action target has important practical significance in controlling the occurrence and prevalence of the crop epidemic diseases caused by phytophthora.

The invention discloses an animal oral cavity liquid sampling device for animal epidemic diseases, which comprises a plug-in frame, a fixed frame is fixedly mounted on the plug-in frame, a connecting plate is fixedly connected to the bottom end of the plug-in frame, a collecting hopper is fixedly mounted on the side wall of the connecting plate, and mounting plates are fixedly connected to the top end and the bottom end of one side of the plug-in frame. According to the device, firstly, the tongue of an animal is primarily sucked through negative pressure, then, the two clamping plates are used for conducting secondary fixing and clamping, the oral cavity of the animal is promoted to secrete saliva and saliva by spraying acid liquid, the two buffer plates are responsible for absorbing saliva of the upper jaw and the lower jaw, and therefore the oral cavity of the animal is promoted to secrete saliva and saliva of the animal. The collecting hopper is responsible for collecting saliva flowing out of the mouth of the animal at the moment, long-distance collecting operation is achieved, potential safety hazards are avoided, after collecting is completed, the device can be directly taken down from the outside of the cage, operation is easy, collecting is rapid, efficiency is high, and danger is greatly reduced.

The invention relates to the technical field of temperature control, in particular to a chicken coop constant-temperature regulation and control method for prevention and control of broiler epidemic diseases, and the method comprises the steps: obtaining thermal infrared image data of a broiler activity area in a chicken coop and temperature data collected by a temperature sensor; positioning and tracking a single chicken in the thermal infrared image data, and determining the abnormal aggregation degree of each sub-region divided by the broiler activity region so as to determine an abnormal aggregation region formed by the abnormal aggregation sub-regions; the current area temperature of the abnormal gathering area is determined by combining the temperature sensor and the position and temperature data of the abnormal gathering area, and the constant temperature deviation difference degree of the abnormal gathering area is determined; and on the basis of the current area temperature and the abnormal gathering degree and the constant-temperature deviation difference degree of the abnormal gathering sub-areas, dynamic adjusting fans in the sub-areas divided by the broiler activity area are controlled so as to adjust the temperature of the abnormal gathering areas. Constant temperature adjustment of the henhouse environment is effectively achieved, and broiler epidemic diseases are avoided.

The invention discloses a blood sampling heat preservation device for animal epidemic disease detection, which comprises a storage box, a heat preservation cavity is arranged in the storage box, a plurality of groups of heating rods are arranged in the heat preservation cavity, an annular conveying belt is arranged in the heat preservation cavity, a plurality of groups of bottle placing seats which are arrayed at equal intervals are arranged on the annular conveying belt, and the bottle placing seats are rotatably connected with the annular conveying belt; sampling bottles are placed in the multiple sets of bottle placing bases, taking and placing holes matched with the sampling bottles are formed in the upper portion of the heat preservation cavity, and sealing plates hinged to the inner walls of the taking and placing holes are installed in the taking and placing holes. The device has the beneficial effects that a second gear at the power output end of a motor is matched with a first gear to drive a bottle placement seat to rotate so as to drive a sampling bottle to rotate, so that sampled blood in the sampling bottle is fully mixed with an anticoagulant, and meanwhile, the sampling bottle is in a heat preservation environment in a heat preservation cavity in the whole process of rotation; blood in the sampling bottle is prevented from going bad when being cooled to influence a subsequent detection result.

The invention discloses a chicken epidemic disease detection method and device based on audio data enhancement and feature fusion. The method comprises the steps that sound data of a chicken flock is collected and preprocessed; performing data enhancement on the preprocessed sound data to obtain a chicken flock audio training sample; frequency spectrum features and original audio features are extracted from the chicken flock audio training samples; splicing all the spectrum feature maps to obtain a spliced spectrum feature map; inputting the extracted original audio features into a network formed by combining two front-end acoustic models and a pre-training model to obtain a first semantic feature map and a second semantic feature map; fusing all the features to obtain a fused feature map; and inputting the fused feature map into a preset lightweight multilayer perceptron, and outputting a chicken epidemic disease detection result. By introducing data enhancement and feature fusion technologies, the limitation of a single feature extraction means is overcome, and the accuracy and robustness of sound signal processing are improved, so that the chicken epidemic disease is detected more effectively.

The invention relates to an animal epidemic disease monitoring data statistical analysis system and method. The method comprises the following steps: a multi-source data fusion module performs standardized fusion processing based on input case data, environment data and population data to obtain a spatio-temporal joint data matrix; a risk probability prediction module performs area scanning shape prediction on geographic feature data and population distribution data in the matrix, outputs a dynamic scanning area set, and performs environment and small sample correction to obtain risk probability distribution; and the hierarchical prevention and control visualization module performs spatial aggregation test based on the distribution, outputs a significant epidemic disease aggregation area, and generates a hierarchical prevention and control thermodynamic diagram in combination with an environment correction factor. According to the system, through multi-source data fusion, geographically adaptive dynamic window prediction and spatial aggregation test, the animal epidemic disease risk probability can be accurately analyzed, an epidemic disease aggregation area is output, a hierarchical prevention and control thermodynamic diagram is generated, and the animal epidemic disease monitoring level and the prevention and control visualization capability are further improved.

The invention relates to the field of pathogen detection, in particular to a primer probe group, a gene chip and a kit for detecting seven waterfowl infectious disease pathogens and application. The primer probe group provided by the invention can be used for simultaneously detecting the goose parvovirus, the duck viral enteritis virus, the muscovy duck parvovirus, the duck hepatitis A virus type 1, the duck hepatitis A virus type 3, the duck tembusu virus and the novel duck reovirus, and is strong in specificity and high in sensitivity. Furthermore, a gene chip prepared by using the primer probe group provided by the invention not only has strong specificity and high sensitivity (1.0 * 100 copies / [mu] L), but also has good repeatability and stability, can be stably stored within at least 180 days, has sensitivity superior to that of a standard fluorescent quantitative PCR method, can rapidly and efficiently detect main epidemic disease pathogens of waterfowl together, and has good application prospects. The method can be used for epidemiological investigation and disease diagnosis of waterfowls.

The invention provides a PINN-based natural epidemic disease transmission mechanism modeling method and system, which are used for mechanism deduction and space-time prediction of a natural epidemic disease transmission process. The method comprises the following steps: firstly, constructing a host population model and a host-population coupling propagation dynamics model; secondly, the dynamic equation set serves as a physical constraint to be embedded into the physical information neural network; and finally, through joint loss function optimization network learning, bidirectional driving of case data prediction and parameter inversion is realized. The method solves the problems that in the prior art, a host-crowd coupling mechanism is lacked, environmental factor modeling is insufficient, and data driving and mechanism modeling are separated, two-way driving of mechanism modeling and data learning is achieved, and space-time simulation precision, interpretability and model generalization ability are remarkably improved.

The invention provides an application of a CaBBX2 gene in improving the resistance of plants to epidemic diseases, and belongs to the field of plant genetic engineering. The invention finds that overexpression of CaBBX2 can have an obvious inhibition effect on phytophthora of invasive plants. The method provides a new technical approach for plant disease-resistant breeding.

The invention provides application of a CaCRY2 gene in regulating and controlling resistance of plants to phytophthora capsici, and belongs to the technical field of plant molecular biology and plant genetic engineering. The gDNA sequence of the CaCRY2 gene is as shown in SEQ ID NO: 1, and the cDNA sequence of the CaCRY2 gene is as shown in SEQ ID NO: 2; the expression of the CaCRY2 gene is inhibited, and the resistance of the plant to phytophthora capsici is enhanced; the overexpression of the CaCRY2 gene weakens the resistance of the plant to phytophthora capsici, and the plant is a solanaceae plant. The invention provides a capsicum phytophthora blight related gene CaCRY2 and application thereof. The resistance of capsicum plants to phytophthora blight can be enhanced by silencing the CaCRY2 gene through a virus-induced gene silencing technology; the resistance of the tobacco plants to epidemic diseases can be weakened by overexpressing the CaCRY2 gene in the tobacco plants through a transgenic technology; the invention provides a favorable basis for improving the disease resistance of plants and cultivating disease-resistant varieties.

The invention discloses a swine fever and porcine parvovirus bivalent subunit vaccine and a preparation method thereof. The vaccine comprises a first recombinant protein encoded by a first gene, a second recombinant protein encoded by a second gene and a pharmaceutically acceptable carrier. The first gene has a sequence as shown in SEQ ID NO: 1 or an increased or reduced sequence thereof. And the second gene has a sequence as shown in SEQ ID NO: 2 or an increased or reduced sequence thereof. An antigen E2 protein of a hog cholera virus (CSFV) and a VP2 protein of a porcine parvovirus (PPV) are taken as double targets, a recombinant SC-E2 protein with a SpyCatcher tag and a recombinant ST-VP2 protein with a SpyTag tag are respectively expressed in insect cells through a recombinant baculovirus vector, double-antigen covalent assembly is realized in vitro, and the constructed bivalent subunit vaccine can be used for simultaneously preventing and controlling two epidemic diseases and has a good application prospect. And the vaccine has the advantages of high safety, strong immunogenicity, high prevention and control efficiency, easiness in large-scale production and the like.

The present invention proposes a method for constructing an epidemic case information extraction framework based on a pre-trained language model, and integrates a named entity recognition network and an implicit category prediction network into an epidemic case information extraction framework. The present invention designs a data labeling rule for infected cases, and proposes an information extraction framework based on a pre-trained language model to automatically extract core elements from cases, wherein the named entity recognition network can accurately identify named entities in case texts and locate key information on case transmission paths; the implicit case category prediction network can efficiently predict implicit categories and determine the main forms of case transmission paths; the framework realizes a structured representation of case texts to further assist disease prevention and control experts in formulating intervention measures for the spread of epidemic viruses.

The invention relates to the technical field of epidemic disease monitoring, and discloses an infected population tracing method and system. The system comprehensively utilizes various data sources such as medical records, public health reports, social media dynamic and geographic position data and the like to realize real-time monitoring and accurate prediction of infectious disease epidemic situations. The system identifies high-risk areas and key propagation nodes through an advanced machine learning algorithm and a mathematical model, and provides accurate prevention and control measure suggestions. The method improves the traceability efficiency, optimizes the resource allocation, effectively supports public health decisions, and provides technical support for epidemic prevention and control. The system can guide a targeted intervention strategy by identifying key nodes and super propagators in a propagation chain, so that the overall propagation risk is reduced.

The invention belongs to the technical field of biology, and particularly relates to a recombinant nano antibody for resisting H9 subtype avian influenza virus NP protein, a recombinant nano antibody protein, an engineering strain and application thereof. The amino acid sequence of the recombinant nano antibody for resisting the H9 subtype avian influenza virus NP protein is SEQ ID NO: 2, and the nucleotide sequence of the recombinant nano antibody is SEQ ID NO: 1. The invention also provides the application of the recombinant nano-antibody for resisting the H9 subtype avian influenza virus NP protein in preparation of a nano-antibody preparation and / or a nano-antibody kit for diagnosing the H9 subtype avian influenza virus. The recombinant nano-antibody for resisting the H9 subtype avian influenza virus NP protein, provided by the invention, is screened from an established H9 subtype avian influenza virus NP protein immune library, and an immune antigen of the recombinant nano-antibody has the sequence characteristic of a virus strain (SG strain) under a current epidemic H9.4. 2.2 branch, and has higher binding suitability with an epidemic virus strain.

The invention discloses a method for identifying an early performance behavior of a pig epidemic disease based on a three-axis attitude angle, and belongs to the technical field of intelligent breeding and livestock and poultry health monitoring. According to the method, a wearable device integrated with a gyroscope is worn on the head of a pig, and three-axis attitude angle signals such as a yaw angle (Yaw), a pitch angle (Pitch) and a roll angle (Roll) of the pig are collected in real time. And carrying out sliding processing on the continuous attitude angle data according to a set time window, extracting behavior characteristic parameters, and carrying out comprehensive identification on behavior performance in the early stage of the suspected epidemic disease in combination with behavior chain pattern identification, individual-group comparative analysis, continuous trend monitoring and an abnormal scoring mechanism. The method does not depend on other sensors such as an accelerometer, an image, a sound or a body temperature sensor, only takes the attitude angle as a unique input signal source, has the advantages of low power consumption, light model weight, convenient deployment and suitability for edge recognition, can quickly find out an individual with abnormal behavior in the early stage of epidemic diseases, realizes intelligent early warning earlier than definite diagnosis, and has a good application prospect. The method is suitable for epidemic disease prevention and control and fine management of various large-scale pig farms.

The invention provides a microbial agent as well as a preparation method and application thereof. The microbial agent comprises an artificial strain, namely a bacillus velezensis P43-DegQ strain, which is obtained by carrying out genetic engineering oriented modification on bacillus velezensis XY40-1 serving as an engineering bacterium. The method comprises the following steps: replacing an original promoter of a DegQ gene in bacillus velezensis XY40-1 with a P43 promoter, connecting the DegQ gene in the XY40-1 with a PBE-P43 vector to construct a P43-DegQ recombinant expression vector, and introducing the P43-DegQ recombinant expression vector into the bacillus velezensis to obtain a bacillus velezensis P43-DegQ strain. According to the invention, the yield of the bacillus velezensis abinogen is improved through genetic engineering oriented modification, so that the microbial control effect of a microbial agent containing the strain is improved. A resonance biopesticide suspending agent and a resonance microbial seed coating agent prepared from the microbial agent are subjected to resonance treatment, the effects of plant epidemic disease prevention and control and seed germination are greatly improved compared with the prior art, and the microbial agent has a very strong application prospect.

The invention provides a bovine viral diarrhea virus loop-mediated isothermal amplification primer group and application thereof, and relates to the technical field of biological detection, and the bovine viral diarrhea virus loop-mediated isothermal amplification primer group comprises an outer primer F3, an outer primer B3, an inner primer FIP, an inner primer BIP, a loop primer LF and a loop primer LB. The specificity and the detection comprehensiveness of the kit on bovine viral diarrhea virus gene amplification are ensured; the primer group can realize rapid detection of the bovine viral diarrhea virus loop-mediated isothermal amplification primer group, the detection sensitivity is higher than that of common PCR, and the result is judged through an amplification curve and a Tt value. And judging the result through a product fluorescence reaction according to conditions. The formed kit has the advantages of simplicity in operation, high specificity, no need of special equipment, low cost and easiness in result judgment, and is suitable for on-site rapid detection, clinical diagnosis of grassroots veterinarians or monitoring of epidemic diseases. The technical problem that in the prior art, the LAMP technology is lacked for rapidly and accurately detecting or identifying the bovine viral diarrhea virus is solved.

The invention discloses an application of 12-ketolithocholic acid in preparation of an anti-Vihonor coccus product. The first test proves that the 12-ketolithocholic acid has good activity of inhibiting atypical Wehonor coccus, specifically, the minimum inhibitory concentration required for inhibiting 50% of tested ATCC 17744 strain is measured, and the result shows that bacteria in a blank control hole containing no medicine grow obviously, and the MIC50 of the 12-ketolithocholic acid for the atypical Wehonor coccus is 294.7 mu g / ml. Therefore, the new application of the 12-ketolithocholic acid provided by the invention provides reference for clinical prevention and control of epidemic diseases caused by Wehonor coccus.