452 results about "Disease control" patented technology

The invention discloses a forest prevention and control method based on disease and pest monitoring, and belongs to the technical field of forestry prevention and control, and the method comprises the steps: dividing a target forest into regions according to vegetation types, collecting historical multi-source data, filling the missing data, analyzing a time sequence and causal relationship to construct a time sequence causal diagram, and simulating a disease and pest spatio-temporal dynamic state in combination with current data. And determining a prevention and control risk level and a key induction factor of each region, executing a prevention and control strategy according to the level, and updating a causal diagram through reinforcement learning according to forest health response data. According to the method, a closed loop is formed from data processing to model construction, accurate prevention and control are achieved, efficiency and scientificity are improved, forest ecological changes can be dynamically optimized and adapted, and the prevention and control effect is guaranteed.

The invention discloses a pest control management system and method for forest tree breeding, and relates to the technical field of forest tree breeding and seedling raising, and the method comprises the following steps: collecting environment data and soil rhizosphere data by collecting multi-mode images of leaves and trunks of a pinus massoniana young forest and videos that pinus massoniana caterpillars gnaw leaves and cluster diffusion; constructing a disease and insect pest recognition model by using a convolutional neural network, performing definite diagnosis on pine wood nematode disease, pine caterpillars and monochamus alternatus hope, and quantifying the disease and insect pest occurrence area and population density of each sub-region; calculating a pine wood nematode disease control demand index, comparing the pine wood nematode disease control demand index with a threshold value, and triggering a corresponding control strategy; the diffusion coefficient of the pine caterpillars is calculated and compared with a risk threshold value, and a prevention and control scheme is formulated; calculating the propagation coefficient of the monochamus alternatus hope, judging the propagation risk and giving a prevention and control strategy; according to the invention, intelligent pest identification, risk quantification and control strategy closed-loop control are realized, treatment and scientific prevention and control are facilitated, and the pest control efficiency of the pinus massoniana young forest and the forest stand health level are improved.

The invention discloses paenibacillus polymyxa K17 for preventing and treating diseases, the preservation number of the paenibacillus polymyxa K17 is CGMCC (China General Microbiological Culture Collection Center) No.33366, and the paenibacillus polymyxa K17 is classified and named as Paenibacillus polymyxa K17. The strain has a good anti-antagonism effect on 16 different plant pathogenic fungi from 8 crops; particularly, the antibacterial effect on various leaf spot diseases of tea trees is superior to that of part of common biocontrol strains such as Pristeria aryabhattai 11, Bacillus tequilensis R2 and the like. The control effect on tea tree leaf spot and tea tree anthracnose is higher than 70%, the control effect on black spot of picked tomatoes is 68%, the control effect is equivalent to that of various chemical pesticides, and the method has extremely high application prospects and market value in field biological control and postharvest preservation of plant diseases. Meanwhile, the strain K17 has the plant growth-promoting characteristics of secreting multiple extracellular hydrolases, dissolving inorganic phosphorus and mineral potassium and biologically fixing nitrogen, and has the potential of preparing plant growth-promoting microbial agents or bacterial fertilizers.

The invention relates to a tartary buckwheat pest and disease damage dynamic monitoring method, system and device and a medium, and belongs to the technical field of agricultural intelligent monitoring, the dynamic monitoring method comprises the following steps: periodically collecting environmental parameter data through fixed sensor nodes deployed in a farmland, and obtaining leaf vibration signals and multispectral image data at the same time; performing space-time alignment on the blade vibration signal and the multispectral image data, correcting radiation distortion in the multispectral image data, and outputting a registration data set; according to the registration data set, fusing to generate a multi-modal feature vector, inputting the multi-modal feature vector into a pre-trained space-time analysis model, and outputting a risk level distribution diagram with a geographic coordinate mark; generating a control instruction set according to the risk level distribution map, and triggering execution equipment to execute pest control operation; and optimizing weight parameters of the space-time analysis model through the generative adversarial network based on the execution log of the control instruction set and the historical multi-modal feature vector. The scientificity and timeliness of pest control can be improved.

The present invention relates to the field of computer vision, specifically a method and system for real-time identification and control of crop pests and diseases based on multimodal edge computing. The system comprises: acquiring drone multispectral imagery, infrared thermal imaging, and the NDVI index, preprocessing them in combination with field IoT sensor data to generate a multimodal feature input sequence; constructing a spectral-environmental fusion feature matrix based on the Transformer attention mechanism, and utilizing the YOLOv7-Spectral model for pest and disease detection to generate a pest and disease distribution heat map; calculating the pest risk index (BRI) and pesticide application priority map based on historical data; employing an ant colony optimization algorithm to plan drone application paths and optimizing the application plan based on wind speed and humidity parameters; accurately applying pesticides along the optimized paths by the drones and monitoring disease trends; adjusting the model based on application feedback data, and optimizing pest and disease control strategies using federated learning. The present invention improves recognition accuracy, reduces pesticide use, and achieves precise, efficient, and intelligent control.

The invention discloses a forestry new technology intelligent disease and pest prevention and control system and method, and relates to the technical field of disease and pest prevention and control, and the system comprises a data collection module which collects the real-time data of diseases and pests in a forest; the pest and disease damage identification and analysis module is used for analyzing the collected real-time data, carrying out pest and disease damage identification by utilizing an artificial intelligence algorithm and calculating the threat level of the pest and disease damage; the pest and disease early warning module sends out pest and disease early warning signals and provides prevention and control suggestions according to recognition and calculation results; the prevention and control measure recommendation module intelligently recommends prevention and control measures according to the early warning result and the specific disease and pest species; and the execution module is used for performing automatic prevention and control operation through intelligent equipment according to the recommended prevention and control measures. Dynamic monitoring of diseases and insect pests is provided, the recognition module based on deep learning automatically analyzes data, the diseases and insect pests are accurately recognized, threat levels are evaluated, personalized prevention and control measures are recommended, the prevention and control efficiency is effectively improved, and the ecological environment is protected.

The invention relates to the field of disease control, and discloses a semantic segmentation and grading method for cross-scale identification of rice black dwarf disease and lodging, and the method comprises the following steps: S1, collecting rice field data under different elevation scales, and processing the data through software to obtain image data; s2, based on the altitude information of the DSM, determining a classification threshold by combining elevation error correction and height distribution difference statistical analysis, and constructing a DSM-guided auxiliary supervision mask; s3, constructing a cross-scale semantic fusion network, and inputting the image data set in S1 and the auxiliary supervision mask in S2 into the network for training to obtain a rice black dwarf disease and lodging detection model; and S4, predicting by using the rice black dwarf disease and lodging detection model in the S3. By constructing a digital surface model and a digital orthoimage with aligned pixels and combining elevation error correction, accurate association of rice field data under multiple elevation scales can be realized, and support is provided for rice black dwarf disease and lodging identification.

According to the nano pesticide and the preparation method and application thereof, pH response type nano particles ZIF-90 serve as a carrier, azoxystrobin is loaded to serve as a medicine, and the nano pesticide is used for preventing and treating rice sheath blight disease caused by rhizoctonia solani. When the rhizoctonia solani infects rice, oxalic acid can be generated to reduce the pH around an infected area, so that the ZIF-90 carrier skeleton and the hyaluronic acid coating are decomposed to release azoxystrobin, and the rhizoctonia solani is inhibited in a targeted manner. It is further found that ZIF-90 and azoxystrobin have synergistic bacteriostatic activity, the EC50 value of azoxystrobin to rhizoctonia solani can be greatly reduced, after ZIF-90 carrier encapsulation and hyaluronic acid end capping, the photolysis stability of azoxystrobin can be improved, the adhesive force of azoxystrobin on rice leaves can be enhanced, and the ZIF-90 and azoxystrobin compound has important application in agricultural disease control.

The invention discloses a drug screening method based on endotoxin attack, and relates to the technical field of drug screening, in the process of drug screening by using an experimental animal, firstly, an experimental animal model with diseases is established, a certain dose of endotoxin is given to the experimental animal for a period of time after the model is successfully built, and then the experimental animal is subjected to drug screening. And establishing evaluation indexes by utilizing a mathematical formula, and comprehensively evaluating the effectiveness and the safety of the medicine. The evaluation indexes comprise an endotoxin attack survival rate, a survival disease control rate and a survival disease control index. The method can be applied to screening of drugs for treating different diseases, and a more scientific and reliable screening method is provided for research of preclinical drugs or treatment methods.

The invention discloses an intelligent tea inquiry method, device and system based on a big language model and a storage medium, and the method comprises the steps: taking tea professional domain knowledge as a basis, and constructing a tea domain knowledge corpus in a manner of combining a general big language model and artificial semi-supervision; a corpus is utilized, and a low-rank matrix is adopted for fine tuning training of an intelligent inquiry big language model ChatTea in the tea field; constructing an intelligent tea interrogation platform, quantifying ChatTea through a quantification technology, and deploying the ChatTea on the intelligent tea interrogation platform; and inputting the inquiry information of the tea intelligent inquiry platform user into the ChatTea model to obtain accurate answers of related problems such as tea planting, processing, pest control and the like. By means of the method, the tea garden management problem, the tea plant disease and insect pest problem, the planting problem and the like in the tea planting production process can be accurately judged, scientific and professional solutions are provided for different problems, tea farmers are helped to take effective measures in time, losses are avoided, and the yield and quality of tea are guaranteed.

The invention discloses a forestry intelligent pest control system based on multi-sensor cooperation, and relates to the technical field of intelligent pest control. In order to solve the problems of low diagnosis precision and poor cooperation efficiency in the prior art, the invention provides a hypothesis-verification cooperation strategy: a system firstly generates a preliminary diagnosis hypothesis by using macroscopic sensor data, and adaptively regulates and controls a microscopic sensor according to the preliminary diagnosis hypothesis to carry out targeted verification so as to realize high-confidence diagnosis; the system further establishes a disease and insect pest spatio-temporal diffusion risk map for trend prediction, and formulates graded and partitioned precise prevention and control strategies. According to the invention, through prevention and treatment effect evaluation and closed-loop self-optimization learning of the model, intelligent prevention and treatment from passive response to active prediction are realized, and the diagnosis accuracy and the resource utilization efficiency are remarkably improved.

The invention relates to a ralstonia solanacearum bacteriophage LC10 capable of preventing and controlling tobacco bacterial wilt, the classification name of the ralstonia solanacearum bacteriophage LC10 is Rastonia phage, the preservation number of the ralstonia solanacearum bacteriophage LC10 is GDMCC No: 66716-B1, and the preservation date of the ralstonia solanacearum bacteriophage LC10 is July 21, 2025. The bacteriophage is a brachytail bacteriophage and can specifically split ralstonia solanacearum, inhibit the growth of the ralstonia solanacearum and enhance the disease inhibition capability of soil. Therefore, the bacteriophage LC10 can be used for preparing related preparations for preventing and controlling tobacco bacterial wilt.

The invention relates to a large-scale high-yield and high-efficiency cultivation mode of pumpkins in saline-alkali soil, which adopts a composite modifier to improve the saline-alkali soil, and the composite modifier contains an organic fertilizer, a soil conditioner and a saline-alkali tolerant microbial strain in a specific proportion, so that the soil structure and fertility are effectively improved; a pumpkin variety with a salt-tolerant gene marker is selected, and the salt tolerance and the survival rate of seedlings are remarkably improved by combining a biochar seedling raising technology; through an intelligent drip irrigation system and a precise fertilization technology, the irrigation and fertilization amount is dynamically adjusted according to the growth stage of pumpkins and soil fertility, and the resource utilization efficiency is improved; a disease and pest control method combining physical and biological control is adopted, meanwhile, an S-shaped vine pressing method is combined to promote plant growth, and product quality tracing is achieved through a block chain technology. The problem of pumpkin planting in the saline-alkali soil is effectively solved, the yield and quality of pumpkins are remarkably improved, remarkable economic benefits and ecological benefits are achieved, and a new thought and method are provided for agricultural development of the saline-alkali soil.

The invention relates to the technical field of crop cultivation, and discloses a matched cultivation method for strong gluten wheat seed production and application thereof.The method comprises the steps that soil improvement before sowing is conducted, specifically, deep ploughing, organic fertilizer and compound fertilizer application and medium trace element supplement are conducted; then optimizing fertilization management, and applying a potassium fertilizer by nitrogen and sulfur combined application, adjusting a nitrogen fertilizer application strategy and applying the potassium fertilizer by stages; then an optimized sowing technology is implemented; then, precise irrigation and moisture regulation are conducted, the irrigation opportunity and times are optimized, and moderate deficiency of the soil is kept in a specific period; and finally, carrying out comprehensive pest control in parallel or in corresponding stages in the whole growth cycle. By integrating key measures such as soil improvement, scientific fertilization, fine seed close planting, precise irrigation and comprehensive plant protection, a set of synergetic and efficient strong gluten wheat seed production technology system is established, the seed yield and quality are remarkably improved, and the problems of unstable quality, low nutrient utilization rate, water resource waste, insufficient pest control and the like are solved.

The invention provides a multi-modal data driven farming decision-making system based on a large model. According to the system, the accuracy of farming decision making is improved through remote sensing images and field meteorological sensor data. Through integration of multi-modal data, real-time monitoring and accurate decision support of farming operation are realized, and the method aims at overcoming deviation of single-modal data decision and ensuring crop growth and yield. The specific construction process comprises the following stages: 1, collecting crop and farming historical data; 2, processing data, and constructing an agricultural database; thirdly, finely adjusting the multi-modal large model, setting cue words and optimizing the model; 4, processing daily data by using the fine-tuned model, and generating irrigation, fertilization and pest control decisions; fifthly, when the system detects early warning information, a user is notified in time; and 6, carrying out data analysis and reporting, and researching the crop growth trend and environment change. According to the method, multi-modal data are fully utilized, and powerful support is provided for accurate farming decision making.

The invention relates to the technical field of prevention and treatment of plant diseases, in particular to application of a biocontrol strain hzq1601 to prevention and treatment of rice bacterial blight. The biocontrol strain hzq1601 is a bacterial strain hzq1601 of bacillus amyloliquefaciens, the preservation number of the bacterial strain hzq1601 is GDMCC (China General Microbiological Culture Collection Center) NO: 60355, and the biocontrol strain hzq1601 is a bacterial strain hzq1601 of bacillus amyloliquefaciens with the preservation number of GDMCC NO: 60355. The invention further provides a method for preventing and treating the rice bacterial blight, in the rice seedling stage, the biocontrol strain hzq1601 bacterial liquid is sprayed to leaves, so that the morbidity of the rice bacterial blight is remarkably reduced to 1% or below, and losses caused by the bacterial blight are reduced; the bacterial liquid of the biocontrol strain hzq1601 is sprayed to the surface of soil in the tillering stage or booting stage, and the bacterial leaf blight prevention effect and the disease index prevention effect of the biocontrol strain hzq1601 are obviously higher than those of other treatments under the condition that the dosage of the bacterial liquid for seedling treatment is small. The action path of the bacillus amyloliquefaciens is direct and efficient, especially, the strong control effect can be achieved through low-dose spraying in the seedling stage, cost and operation difficulty are reduced, a stable pesticide application window and strategy are formed, and wide popularization prospects are achieved.

The invention discloses a bacillus thuringiensis CMS-BT17, which is classified and named as bacillus thuringiensis, is preserved in the China General Microbiological Culture Collection Center (CGMCC), has the preservation number of CGMCC 35313, and is preserved on July 21, 2025. The bacillus thuringiensis strain CMS-BT17 directly separated and screened from a zizania aquatica soil sample in Haikou City of Hainan carries four insecticidal protein coding genes of Cry8Ca, Cry8Da, Spp1Aa and Vpb4Ca, not only is high in insecticidal toxicity and good in insecticidal effect, but also has a certain effect of inhibiting tomato fungal diseases, can be widely applied to prevention and control of agricultural diseases and pests, and has a wide application prospect. The sustainable development of green agricultural production is promoted.

The invention belongs to the field of pesticide chemistry, and relates to preparation of nano-pesticides, in particular to a nano-pesticide with a two-way conveying function and a preparation method and application of the nano-pesticide. MIL-101 (FeIII, CuII) is used as a pesticide carrier, non-systemic fludioxonil pesticide molecules are loaded in a solution, and then the MIL-101 (CuII, FeIII) MOF nanoparticles loaded with the fludioxonil pesticide are encapsulated with chitosan oligosaccharide in the aqueous solution. The nanometer pesticide preparation prevents fludioxonil pesticide molecules from being released in a solvent in advance, the retention amount of the fludioxonil pesticide on leaf surfaces is increased, the lasting pesticide effect of the fludioxonil pesticide molecules in target crops is improved, the nanometer pesticide preparation is environmentally friendly, and the purposes of disease control, agricultural yield increase and quality improvement are achieved. The nano-carrier provided by the invention can be bidirectionally conveyed in crops through leaf surface pores or root hairs, so that the conveying efficiency of fludioxonil pesticide molecules is improved, and the application scene of the nano-carrier is widened.

The invention relates to the technical field of agricultural microorganisms, and discloses stress-tolerant bacillus velezensis L-29 and application thereof. The bacillus velezensis L-29 is preserved in the China General Microbiological Culture Collection Center (CGMCC), and the preservation number is CGMCC No.35587. The bacillus velezensis L-29 is named as bacillus velezensis L-29. Experiments prove that the bacillus velezensis L-29 can adapt to various extreme environments, can survive and proliferate under the extreme environments of drought conditions simulated by 0-25% PEG 6000 under the conditions that the pH is 2-12 and the salt concentration is 1.5%, and has various functions of soil improvement (organic matter decomposition and phosphorus activation), plant growth promotion, broad-spectrum disease control and the like. In the secondary fermentation stage of compost, humus generation can be remarkably promoted, compost maturation is accelerated, the good colonization ability is achieved, and after an obtained compost product is applied to normal soil, the nutrient effectiveness can be improved, crop growth is promoted, and the disease resistance is enhanced.

The invention provides an application of a Ustilaginoidea virens UvWSC1 gene in improvement of plant disease resistance. The invention develops a new application of the Ustilaginoidea virens UvWSC1 gene in improving the broad-spectrum disease resistance of crops such as rice for the first time, and the UvWSC1 gene is subjected to heterologous high expression in the rice, so that the broad-spectrum resistance of the rice to various pathogenic bacteria such as Ustilaginoidea virens, Magnaporthe oryzae and Xanthomonas oryzae can be obviously enhanced, and the agronomic traits of the rice are not influenced; an important theoretical basis is provided for rice disease-resistant breeding. By heterologous expression of the UvWSC1 gene, broad-spectrum disease resistance can be safely and effectively endowed to crops, a broad-spectrum disease-resistant rice variety is obtained for production, and the broad-spectrum disease-resistant rice gene has great application prospects and economic values in the aspects of crop breeding disease resistance improvement, rice disease prevention and control and crop yield increase and pesticide reduction.

The invention belongs to the technical field of microorganisms, and particularly discloses bacillus amyloliquefaciens QGFCH3-3 as well as a microbial agent and application of the bacillus amyloliquefaciens QGFCH3-3. The preservation number of the bacillus amyloliquefaciens QGFCH3-3 disclosed by the invention is CGMCC (China General Microbiological Culture Collection Center) No.34814 The strain has the functions of nitrogen fixation, amylase production, ligninase production, protease production and cellulase production, can effectively promote plant growth, has broad-spectrum antibacterial activity, can significantly inhibit various pathogenic bacteria, and significantly improves the disease control effect of crops.

The invention relates to the technical field of agricultural plant disease control, and particularly discloses a biological and chemical compound bactericide and application thereof. The biological and chemical compound bactericide comprises a bacterial solution of a biocontrol strain bacillus velezensis LHN1 and a chemical bactericide, the biocontrol strain bacillus velezensis LHN1 is preserved in Guangdong Microbial Culture Collection Center, and the preservation number is GDMCC No: 63550; the chemical bactericide is selected from at least one of prochloraz, pyraclostrobin or tebuconazole; in the compound bactericide, the volume ratio of the LHN1 bacterial liquid to the chemical bactericide is (1: 4)-(4: 1). Through the synergistic effect of biological prevention and control and chemical prevention and control, the problems that a single chemical bactericide pollutes the environment and the single biological prevention and control effect is unstable are solved, the prevention effect in a pot experiment reaches up to 83.99%, meanwhile, the dosage of chemical agents is reduced by 30%-50%, and the method has the advantages of being efficient, low in toxicity and low in cost and is suitable for root rot prevention and control in large-scale planting of rhizoma polygonati.

The embodiment of the invention relates to the technical field of forestry disease and pest control, and particularly discloses a forestry disease and pest intelligent decision-making method and system based on a multi-modal knowledge graph. According to the embodiment of the invention, the method comprises the steps: obtaining the multi-modal forestry data of a target forestry region, and carrying out the preprocessing of the multi-modal forestry data; entity detection, relation extraction and entity alignment processing are carried out, and a multi-modal information vector is constructed; constructing a multi-modal knowledge graph; performing association identification and propagation reasoning on forestry diseases and pests to obtain a disease and pest reasoning result; and according to the disease and pest reasoning result, forestry disease and pest decision processing is performed. Multi-modal forestry data can be acquired, multi-modal information vectors can be constructed, then a multi-modal knowledge graph can be constructed, association identification and propagation reasoning of forestry diseases and insect pests can be carried out, and dynamic treatment decision processing can be carried out, so that the multi-modal knowledge graph is applied to an intelligent decision-making process of the forestry diseases and insect pests, the disease and insect pest identification is more accurate, and the decision-making efficiency is improved. And the treatment efficiency of forestry diseases and insect pests is effectively improved.

The invention relates to the technical field of medical artificial intelligence and public health data management crossing, in particular to an intelligent tuberculosis screening and data analysis management system which comprises a data acquisition module, an intelligent screening module, a data analysis management module, a clinical interaction module and a system management module. The multi-source data fusion and the dynamic threshold reasoning enable the early-stage tiny focus detection rate to be larger than or equal to 85%, the screening time is shortened to 5 minutes per case (80% higher than that of manual film reading), cross-mechanism and cross-dimension data integrated acquisition and sharing are achieved, 'hospital-disease control-grassroots' data intercommunication is achieved, and the screening efficiency is improved. Complete data support is provided for epidemiological analysis, longitudinal individual tracking and transverse group analysis are combined, the early warning period of regional outbreak is larger than or equal to 2 weeks, and a public health prevention and control gateway is assisted to move forwards.

The application discloses a kind of compound fertilizer with nitrogen fertilizer slow-release and biocontrol function and preparation method, it is related to microbial compound fertilizer field, including the following components: nitrogen source carrier, physical net trapping material, 3,4-dimethyl pyrazole phosphate, biocontrol component, binder.A kind of preparation method, including the following steps: after silanization modification treatment is carried out to attapulgite, with polyglutamic acid aqueous solution mixed reaction, obtain self-assembly gel;Bacillus subtilis is embedded and handled, rhamnolipid is pre-emulsified, chitosan oligosaccharide is crosslinked with boric acid treatment, and is blended;Nitrogen source carrier is heated to melt, add self-assembly gel, mix evenly;Temperature control, add 3,4-dimethyl pyrazole phosphate, and keep warm reaction;Cooling, add the blend obtained in step S200, binder, mix evenly;Extrusion granulation, after fluidized bed drying, slow-release coating is carried out, and the target compound fertilizer is obtained.The application makes disease control efficiency to improve to 89.2%, and blocks nitrosomonas AMO enzyme activity for 120 days.

The invention discloses a sample pretreatment work station control method and system based on edge calculation, and relates to the technical field of medicine production, and the method comprises the following steps: loading a sample into a container with a first serial number two-dimensional code, reading the first serial number two-dimensional code to obtain sample information and treatment information, carrying out first regulation and control according to the treatment information, and carrying out second regulation and control according to the treatment information; and judging whether second regulation and control are carried out or not through the first regulation and control and processing information, if not, directly outputting a backtracking report, and if the second regulation and control are carried out, repeating the first regulation and control until the processing is finished, and outputting the backtracking report. By integrating two-dimensional code recognition, machine vision, sensor feedback and intelligent mechanical arm control, unattended automatic operation of the whole process from sample input, split charging, dilution, mixing to inoculated culture is achieved, tedious and error-prone manual steps are replaced, the sample pretreatment speed and flux are remarkably improved, and the sample pretreatment efficiency is improved. The method is especially suitable for scenes such as disease control, food and third-party detection requiring processing of a large number of samples.

The invention belongs to the technical field of tumor resistance, and particularly relates to a cabazitaxel albumin composition and application thereof. The cabazitaxel albumin composition comprises cabazitaxel and human serum albumin, and does not contain a surfactant; the solution is a clear solution in a liquid state; the present invention relates to a Cabazitaxel injection for use in the treatment of a cancer patient by infusion administration, the dosage of Cabazitaxel infused to said patient being about 10-40 mg / m2, preferably 20 mg / m2 or 25 mg / m2, optionally in combination with a corticoid, such as prednisone, optionally repeatedly administered to said patient at a new cycle per 3 weeks, having lower adverse effects than originally developed Cabazitaxel injections, and more particularly to a Cabazitaxel injection for use in the treatment of cancer patients. And a higher disease control rate is achieved for patients with advanced solid tumors.

The application relates to the field of agricultural disease control technology, and particularly relates to the use of indole compounds and pharmaceutically acceptable salts, solvates, crystal forms, prodrugs, stereoisomers and tautomers thereof for preparing a medicine for inhibiting pathogenic key protein kinase CgSlt2 of pathogenic fungi. The application first proposes a new type of CgSlt2-targeted inhibitor, specifically, indole compounds ((S)-N-(1-(1H-indol-3-yl)-4-(methylamino)-4-oxobutan-2-yl)-8-bromo-1,6-naphthyridine-2-carboxamide) and ((S)-N-(2-((1H-indol-3-yl)-1-(methylamino)-1-oxopropyl)-8-bromo-1,6-naphthyridine-2-carboxamide) are used as CgSlt2 inhibitors, have the characteristics of high target specificity and high activity, and exhibit excellent pathogenicity inhibition of a strain of the complex group of Colletotrichum gloeosporioides.

The invention relates to the technical field of rhizoma bletillae planting, in particular to a method for planting rhizoma bletillae in rocky desertification mountainous regions under photovoltaic panels. The method comprises the following steps: selecting a rocky desertification mountainous region on which a photovoltaic panel is built; after a cultivation bag is adopted to be put into cultivation soil, the cultivation bag is placed under a photovoltaic panel, the daily average illumination intensity under the photovoltaic panel is 220-300 [mu] mol / m < 2 >. S, and the content of organic matter in the cultivation soil is larger than or equal to 15 g / kg; the rhizoma bletillae seedlings are planted in the cultivation bags filled with the cultivation soil, and the stem diameter of the rhizoma bletillae seedlings is larger than or equal to 7 mm; the chlorophyll SPAD value of the rhizoma bletillae seedlings is 28-35; after the rhizoma bletillae seedlings are planted, watering is conducted regularly, and compound fertilizer dressing or foliar fertilizer spraying is conducted. The rhizoma bletillae is planted in the stony desertification area, so that the emergence rate of the rhizoma bletillae is increased, and the problems of high management and protection cost, low yield, low income or loss and the like caused by difficulty in drought resistance, hail prevention and prevention of diseases, weeds and weeds are solved.

The present invention relates to the field of wheat cultivation technology and discloses a high-yield cultivation method for winter wheat planted in spring. The method comprises screening, land preparation, winter irrigation in November, seed dressing, timely sowing in early to mid-March, topdressing with seedling fertilizer and irrigation during the tillering stage, pest and disease control in the middle and late stages of growth, and timely harvesting. The present invention solves the problem of winter wheat being unable to be planted in Qinghai's spring wheat region due to its inability to undergo normal vernalization and earing maturity by sowing winter wheat in spring wheat areas. This method allows wheat to be produced normally without undergoing vernalization, ultimately achieving a high-yield, low-pest cultivation method.