29 results about "Diseases plants" patented technology

The invention belongs to the technical field of crop disease and pest control, and discloses a greenhouse tomato disease and pest diffusion distribution diagram prediction method, which comprises the following steps: S1, collecting current growth data of tomatoes in a greenhouse in real time; s2, according to the current growth data, constructing a diffusion velocity model of diseases and insect pests, and predicting a disease radius # imgabs1 # after the time # imgabs0 # of the diseases and insect pests through the diffusion velocity model; and S3, predicting according to the current growth data acquired in the step S1 and the disease radius # imgabs2 # predicted in the step S2 to obtain a disease and pest diffusion distribution diagram. The current pest and disease damage data of the tomatoes in the greenhouse are collected in real time, environmental factors (temperature, humidity and carbon dioxide concentration) and interaction among different pest and disease damage are comprehensively considered, then the pest and disease damage diffusion distribution diagram is predicted and generated, and the generated result is higher in credibility and more accurate. A user can treat diseased plants according to the diffusion distribution diagram and prevent and treat infected plants, so that accurate prevention and treatment of plant diseases and insect pests by the user are facilitated.

The invention provides a comprehensive prevention and control method for a rice kernel smut disease. The method comprises the steps of seed treatment, crop rotation and deep ploughing, scientific fertilization and irrigation, rational close planting and flowering phase management, field disease monitoring and early warning, biological prevention and control, diseased plant treatment and the like. Seeds are selected by saline water and treated by various disinfectants, so that the health of the seeds is ensured; crop rotation for more than two years and deep ploughing and field drying in winter are performed to reduce accumulation of pathogenic bacteria; reasonable fertilization is performed according to a soil fertility detection result, field humidity is controlled, and diseases are reduced; the planting density and flowering period management are optimized, and the seed production success rate is increased; disease risks are monitored in real time through a disease and pest monitoring and early warning system, the disease trend is predicted through big data analysis and an artificial intelligence algorithm, and early warning information is issued in time; a beneficial microbial community is formed in the field by using a biocontrol inoculant, and growth of pathogenic bacteria is inhibited; diseased plants are removed at fixed points through a small agricultural machine, and disease diffusion is prevented.

The invention relates to the technical field of image or video recognition or understanding, and discloses an areca yellows early warning method based on regular economic forest multi-dimensional symptom analysis, in the method, the unique morphology of areca and various morphological changes which are invisible under trees but visible in remote sensing during the period that areca suffers from yellows are fully utilized, and the areca yellows early warning effect is achieved. And the multiple symptoms are combined to form a multi-symptom matching degree, so that the misrecognition problem can be eliminated in an auxiliary manner when specific symptoms exist. When the specific symptoms do not exist, whether the disease of the current areca-nut forest belongs to the infectious disease or not is indirectly judged according to the distribution characteristics of the multi-symptom matching degree in time and space by utilizing the distribution characteristics and the disease course development rule when the areca-nut is cultivated as an economic arbor, and if yes, the disease of the current areca-nut forest belongs to the infectious disease; and considering that the areca yellows occupy a large proportion in the areca infectious diseases, the pathogen detection cannot be infeasible due to entrainment of a large number of irrelevant diseased plant samples when the pathogen detection is carried out at the moment. The above points are combined to realize early warning of areca yellows.

The present invention relates to a highly effective, broad-spectrum anti-plant viral disease pharmaceutical composition and its application. The active ingredients of the anti-plant viral disease pharmaceutical composition include chlorin iron and lentinan; wherein the weight ratio of chlorin iron to lentinan is 1:6000 to 4:1. When a certain concentration of the chlorin iron and lentinan pharmaceutical composition is applied to plants, the two active ingredients exert a synergistic effect, alleviating symptoms of diseased plants, reducing disease indexes, and reducing viral accumulation in the plants. The plant anti-viral disease pharmaceutical composition is a biological agent that is environmentally friendly, safe, and environmentally friendly. It has important application prospects in combating plant viral diseases, preventing and controlling plant diseases caused by plant viruses, and improving plant quality.

This invention belongs to the field of biodetection technology, specifically relating to a primer set, kit, and application for detecting *Alternaria solani* brown spot disease. The base sequences of the primer set are shown in SEQ ID NO.1~SEQ ID NO.5. Based on the primer set, this invention utilizes loop-mediated isothermal amplification technology for the rapid detection of *Alternaria solani*, accurately detecting the fungus from the complex pathogenic environment in diseased plant tissues. The rapid detection system described in this invention exhibits high specificity and sensitivity, with a detection limit of 0.246 fg / μL for *Alternaria solani* DNA. Using the rapid detection system provided by this invention, *Alternaria solani* can be detected rapidly, conveniently, accurately, and sensitively from field samples within 45 minutes, which is simpler and more efficient than traditional symptom identification methods and ordinary molecular detection methods.

The invention belongs to the technical field of biological detection, and particularly relates to a primer group and a kit for detecting new plum brown spot and application of the primer group and the kit, and base sequences of the primer group are shown as SEQ ID NO.1-SEQ ID NO.5. Based on the primer group, the loop-mediated isothermal amplification technology is used for rapid detection of the alternaria nepalensis, and the alternaria nepalensis can be accurately detected from a complex pathogenic bacterium environment in diseased plant tissues. The rapid detection system disclosed by the invention is good in specificity and high in sensitivity, and the detection limit of the DNA of the alternaria nepalensis is 0.246 fg / mu L. By utilizing the rapid detection system provided by the invention, the alternaria nepalensis can be rapidly, simply, accurately and sensitively detected from a field sample within 45 minutes, and compared with a traditional symptom recognition method and a common molecular detection method, the rapid detection system is simpler and more efficient.

The application discloses long-chain non-coding RNA lncRNA109897 for promoting walnut resistance to anthracnose and application thereof. The application provides an RNA molecule, which is a lncRNA and is named as LncRNA109897, as shown in sequence 1 of a sequence table. The application also provides a DNA molecule, which is a DNA molecule for coding LncRNA109897 and is named as LncRNA109897 gene, as shown in sequence 3 of the sequence table. The application also protects an anti-disease plant breeding method, which comprises the following steps: introducing the LncRNA109897 gene into a starting plant to obtain a transgenic plant with higher disease resistance than the starting plant. The application has great application and popularization value for plant anthracnose resistance breeding, in particular, walnut anthracnose resistance breeding.

The application discloses a primer composition for detecting Pythium sylvesterianum based on LAMP technology and application thereof, and belongs to the technical field of microorganism detection; the primer composition is a LAMP primer composition designed according to a specific sequence shown in SEQ ID NO. 1. The application adopts a method for rapidly detecting Pythium sylvesterianum, the pathogenic bacterium of stem base rot of raw ginger, based on loop-mediated isothermal amplification technology, and establishes a perfect detection and field real-time detection system for soil samples, water source samples and diseased plant samples, thereby opening up a new train of thought and method for the measurement and prediction of field crop diseases, winning valuable time for the prevention and control of related diseases, and reducing the loss caused by diseases to a certain extent.

The present application belongs to the technical field of fruit tree disease prevention and control, and particularly relates to a method for removing sporadic citrus Huanglongbing trees in citrus orchards. According to the epidemiological characteristics of citrus Huanglongbing, the control strategy of 'completely removing diseased plants, strictly preventing and controlling citrus psyllids, and comprehensively preventing and controlling' is implemented at sporadic disease points in the diffusion front area. The sporadic disease point orchards are promptly cleaned of diseased trees, and the diffusion front area is comprehensively prevented and controlled to prevent the disease from occurring again. In this way, disease information and risk warnings can be promptly released, the removal of diseased trees and the strict prevention and control of citrus psyllids can be achieved, the invasion and reproduction of exogenous psyllids can be hindered, the risk of healthy seedlings getting sick can be reduced, and the spread of citrus Huanglongbing can be blocked. The present application provides technical support for delaying the further spread of citrus Huanglongbing and saves human and material resources.

The present disclosure relates generally to a composition comprising nucleic acids adsorbed onto layered double hydroxide (LDH) nanoparticles coated in positively charged proteins, and methods of introducing the adsorbed nucleic acids into plants and plant tissues using the composition. For example, the LDH nanoparticles of the present disclosure can be used to deliver a nucleic acid of interest to a plant or part thereof for a range of purposes including, but not limited to, protecting plants from pests and diseases, plant trait manipulation, and / or plant gene editing. The present disclosure also generally relates to the use of lysozyme for enhancing uptake and internalization of LDH nanoparticles by plants and plant tissues. For example, the present disclosure relates to methods of enhancing uptake and internalization of a plant or plant tissue with LDH nanoparticles by pre-treating the plant or plant tissue with lysozyme prior to incubating the plant or plant tissue with the LDH nanoparticles. The present disclosure also relates to a method for preparing the composition.

The present invention discloses the application of ClPR1 protein in improving the resistance of Cucurbitaceae plants to viral diseases, and belongs to the field of genetic engineering. The present invention finds that the virus content in Cucurbitaceae plants such as melon and watermelon can be significantly reduced by overexpressing ClPR1 protein in Cucurbitaceae plants such as melon and watermelon, indicating that ClPR1 protein can improve the resistance of host plants to viral diseases. Therefore, ClPR1 protein and its encoding gene can be used for the cultivation and identification of anti-viral plant varieties required for agriculture and ecological environment management, and plays an important role in the field of plant disease resistance breeding.

This invention relates to the field of plant disease control technology, and in particular to the application of dihydroxyacetone (DHA) in the control of root rot and / or the promotion of plant growth. This invention found that DHA can effectively antagonize the growth of the pathogen *Fusarium graminearum*, with an inhibition rate of 36.14%–48.65%. In soil culture experiments, at 7 days, both high concentrations (1M) and low concentrations (5mM) of DHA showed good control effects on maize root rot, with disease control efficacy reaching 14.17% and 27.08%, respectively. Simultaneously, both showed good growth-promoting effects; low concentrations of DHA increased the aboveground biomass of maize by 65.30% compared to diseased plants. At 14 days, the control efficacy of high concentrations (1M) and low concentrations (5mM) of DHA against maize root rot was 15.24% and 33.05%, respectively, and low concentrations of DHA increased the aboveground biomass of maize by 135.32% compared to diseased plants.

The invention discloses a separation and identification method of German iris soft rot pathogenic bacteria, and belongs to the technical field of plant pathogenic bacteria detection. The method comprises the following steps: collecting diseased plants which are poor in growth and have typical soft rot symptoms from an iris tectorum planting base as materials in a German iris tectorum soft rot full-emergence period, and carrying out separation and purification of pathogenic bacteria and PCR amplification and identification of the pathogenic bacteria; according to the method, the German iris soft rot pathogenic bacteria are identified by utilizing a molecular biology means for the first time, compared with a traditional separation and identification method, the identification time of the pathogenic bacteria is greatly shortened, the accuracy of an identification result is also greatly improved, disease-resistant breeding and comprehensive prevention and control of German iris are promoted, and the method has a wide application prospect. Wide application prospects are realized.

The invention belongs to the technical field of biology, and particularly relates to a bacillus amyloliquefaciens strain sf28 and application thereof. The bacillus amyloliquefaciens strain sf28 is separated from rhizosphere soil of a peanut southern blight diseased plant, and the bacillus amyloliquefaciens strain sf28 has the effects of resisting fungi and bacteria and can effectively prevent and treat various plant diseases; comprise peanut bacterial wilt, peanut southern blight, peanut fruit rot, peanut root rot, peanut crown rot, ligustrum lucidum canker and tobacco root rot, and the potting test control effect on the peanut southern blight and the peanut bacterial wilt is remarkable.

The invention belongs to the technical field of microorganisms, and discloses an African trichoderma harzianum strain and application thereof in inhibition of a fusarium graminearum source. The African trichoderma harzianum is separated from wheat field soil, the strain number of the African trichoderma harzianum is XY8-4, and the preservation number of the African trichoderma harzianum is CGMCC (China General Microbiological Culture Collection Center) No.41512. The strain can inhibit the growth of fusarium graminearum hyphae and the generation and germination of conidia, has a hyperparasitism effect, can also significantly inhibit the fusarium graminearum from forming ascocysts on sick residues, reduces the number of initial infection sources, can be applied to preparation of a wheat scab biocontrol agent, and has a broad application prospect. Microbial resources and technical approaches are provided for reducing the use of chemical pesticides and realizing green prevention and control of the gibberellic disease.

The present disclosure relates generally to a composition comprising nucleic acids adsorbed onto layered double hydroxide (LDH) nanoparticles coated in positively-charged protein, and methods of using same to introduce the adsorbed nucleic acids to plants and plant tissues. For example, the LDH nanoparticles of the disclosure may be used to deliver nucleic acids of interest to plants or parts thereof for a range of purposes, including, but not limited to, protecting a plant against pests and diseases, plant trait manipulation, and / or plant gene editing. The present disclosure also relates generally to the use of lysozyme to enhance uptake and internalisation of LDH nanoparticles by plants and plant tissues. For example, the disclosure relates to methods of enhancing uptake and internalisation of LDH nanoparticles by plants and plant tissues by pre-treating the plant or plant tissue with lysozyme prior to incubating the plant or plant tissue with the LDH nanoparticles. The present disclosure also relates to methods for preparing said compositions.

The invention discloses a method and a device for detecting plants with diseases and insect pests. The method specifically comprises the following steps: S1, acquiring an agricultural plant data set with diseases and insect pests from a network; s2, inputting the agricultural pest and disease plant data set into the constructed pest and disease detection model for training; and S3, inputting a to-be-detected agricultural plant data set into the trained pest and disease damage detection model so as to output a pest and disease damage plant.

The invention relates to the field of prevention and treatment of ancient plants, and particularly discloses a method for disease prevention and rejuvenation after transplantation of ancient and famous trees. The method comprises the following steps: taking tissues and rhizosphere soil of diseased plants of ancient and famous trees, sequencing amplification products after extracting DNA (Deoxyribose Nucleic Acid), counting the types and quantity of OTUs in the diseased plants and the rhizosphere soil, analyzing the composition and diversity of microbial flora, and determining growth critical values of harmful pathogenic bacteria and induced pathogenic bacteria; and according to the growth condition of the microbial flora, sequentially performing macro-environment physical measure prevention and control to improve the growth environment of diseased plants, chemical prevention and control to inhibit harmful bacteria, and biological prevention and control to form a beneficial flora effect. By adopting the method, diseases and pests of the ancient peonies can be effectively prevented and treated, a benign microbial ecological system is established around the transplanted plants, and the autoimmunity of the plants is enhanced, so that the purposes of comprehensively preventing and treating diseases and promoting rejuvenation of the ancient peonies are achieved.

The invention discloses a treatment method for kiwifruit canker, and relates to the technical field of plant disease and pest control. Comprising the following steps: pre-treating diseased plants by utilizing earthworm feces; wetting the diseased part of the diseased plant by using a bacillus subtilis liquid; and carrying out ultrasonic treatment on the diseased plants. The kiwifruit canker treatment method provided by the invention is green, environment-friendly and remarkable in effect.

The invention discloses a colza sclerotiniose clubroot resistance evaluation method, and relates to the technical field of stress-resistant colza screening and evaluation. Comprising the following steps: 8-10 days after rape seedling emergence, diluting the plasmodiophora brassicae spore concentration to 2 * 10 < 6 > / mL to 3 * 10 < 6 > / mL by using sterile water, then mixing a plasmodiophora brassicae spore suspension and a sclerotinia sclerotiorum hypha suspension in equal proportion, and enabling the bacterial suspension liquid to slowly flow down along plant stems and be immersed into root soil along the positions 0.5-1 cm away from the basal parts of rape plant stems; the method comprises the following steps of: culturing at the constant temperature of 25 DEG C and the relative humidity of more than 90% in the presence of light for 16 hours and darkness for 8 hours alternately, observing the symptoms of roots, basal stems or petioles after 30 days, carrying out disease grading of the clubroot and the sclerotiniose, then calculating disease indexes according to the grading and the number of diseased plants at each stage, and further evaluating the resistance grades of the sclerotiniose and the clubroot according to the disease indexes. According to the evaluation method disclosed by the invention, disease occurrence conditions can be created under indoor conditions, so that sclerotinia sclerotiorum and plasmodiophora brassicae infect hosts at the same time, the evaluation time can be shortened, and meanwhile, the defect that the resistance evaluation of different diseases in different growth periods of the rape cannot truly reflect the resistance level of the hosts is overcome.

The invention discloses a pest and disease control method in efficient cultivation of pinellia ternate, and relates to the technical field of pinellia ternate cultivation, the pest and disease control method specifically comprises the following steps: before cultivation, uniformly laying plant ash on the surface of soil for cultivating pinellia ternate, and then uniformly spraying 1500 times of 30% hymexazol aqueous solution; soaking the pinellia tuber corms in a compound sterilizing solution; in the early stage of disease occurrence, diseased plants are pulled out in time, lime powder is scattered in diseased holes to prevent spreading, and then a composite sterilization solution is comprehensively sprayed once every 5-7 days and continuously sprayed 3-5 times; in the initial stage of insect pest occurrence, comprehensively spraying the compound sterilizing liquid once every 7-10 days, and continuously spraying for 2-3 times. The pinellia ternate pest control method is efficient, low in toxicity, nuisanceless, free of pollution and good in pest control effect, and pinellia ternate is good in quality and high in yield.

The application discloses a kind of intelligent hydroponic leek plant disease prevention methods and devices, the method includes the following steps, greenhouse daytime maximum temperature is higher than 35 ℃ and continues 6 hours or more, high pressure cover mist sprays bacillus subtilis once conventional prevention every week, and high pressure cover mist sprays beeswax water once every week to carry out physical plant protection;When greenhouse daytime maximum temperature is not higher than 35 ℃ and relative humidity is greater than 80%, take electrolytic water cover mist and take preventive plant protection measures;If long time maintains above-mentioned weather, continue the operation described above, and chitin cover mist is carried out once every 10 days;The application is directed to different diseases, especially leek gray mold, the occurrence characteristics of root rot, and formulates hierarchical, classified control strategy, uses biological, physical, chemical combined method, gives consideration to prevention and control effect and environmental friendliness, reduces chemical reagent usage, reduces environmental pollution, combines the environmental inducement of disease occurrence, realizes early warning and precision prevention and control of disease, reduces disease occurrence probability.

The present invention belongs to the field of biological control, and particularly relates to a biocontrol fungus capable of infecting and controlling solanaceous plants and an optimization method for its fermentation and culture conditions. The present invention discloses a method for preventing bacteria in solanaceous plants and optimizing its fermentation and culture conditions. Among them, the biocontrol bacteria are Alternaria alternata, Epichloë sorghi, Fusarium equiseti, Curvularia hawaiiensis and / or Nigrospora oryzae. The present invention obtains pathogenic fungi with strong pathogenicity to solanaceous plants by collecting naturally diseased plants, isolating, culturing and purifying them indoors, and verifying the pathogenic bacteria by Koch's postulates.

This invention provides a method, system, device, and storage medium for diagnosing diseased plants and detecting missing plants, relating to the field of diseased plant diagnosis and missing plant detection. The method includes: acquiring target images of plants within a target area and generating target orthophotos based on the target images; dividing the target orthophotos into multiple target window images using a set sliding window; inputting the multiple target window images into a detection model to obtain detection information corresponding to each target window image; the detection information includes: the geographical location of the plant and the disease severity level of the plant; when the disease severity level is zero, it indicates a missing plant; the detection model is established using machine learning methods; this invention can quickly and accurately detect plants.

The application relates to the technical field of data processing, and discloses a peanut anti-rhizoctonia solani breeding strategy analysis method and system based on a growth cycle. The method comprises the following steps: collecting and analyzing peanut growth period characteristic data to obtain a growth cycle characteristic database; comparing phenotypes of healthy plants and diseased plants to establish an anti-rhizoctonia solani early warning model; performing real-time monitoring according to the early warning model to obtain a risk early warning result; tracking the growth period based on the early warning result to establish an anti-rhizoctonia solani resistance scoring system; obtaining strain stability parameters through environmental response analysis; and finally determining excellent strains and forming an anti-rhizoctonia solani breeding scheme. Through the establishment of a data monitoring and analysis system for the whole growth period, dynamic evaluation and early warning of the anti-rhizoctonia solani performance of plants are realized, and the accuracy and efficiency of the selection and breeding of anti-rhizoctonia solani varieties are improved.

The invention discloses a rice deubiquitination enzyme gene OsZUFSP as well as cloning and application of the rice deubiquitination enzyme gene OsZUFSP. The OsZUFSP is a deubiquitination enzyme gene separated from rice, is composed of 1245 basic groups, and encodes a ZUFSP type deubiquitination enzyme with the molecular weight of 46 kDa and positioned in a cell nucleus and cytoplasm, namely the OsZUFSP. The OsZUFSP participates in the rice ubiquitination removal process and responds to the biological stress response of southern rice black-streaked dwarf virus invasion. The phenotypes of mutant rice with the OsZUFSP gene knocked out and over-expressed transgenic rice are not obviously different from those of wild rice, but the resistance of the mutant rice with the OsZUFSP gene knocked out to the southern rice black-streaked dwarf virus is enhanced, the symptoms of diseased plants are relieved, the susceptibility of the transgenic rice with the OsZUFSP gene over-expressed to the southern rice black-streaked dwarf virus is enhanced, and the resistance of the mutant rice with the OsZUFSP gene knocked out to the southern rice black-streaked dwarf virus is reduced. The symptom of the diseased plant is aggravated, which indicates that the OsZUFSP gene positively regulates and controls the southern rice black-streaked dwarf virus to infect rice Therefore, the gene can be knocked out through a gene editing technology to improve the resistance of the rice to the southern rice black-streaked dwarf virus.

The invention belongs to the technical field of plant disease detection, and particularly relates to an alfalfa fusarium resistance identification method based on a sand culture inoculation system. The invention provides an alfalfa fusarium resistance identification method based on a sand culture inoculation system. The alfalfa fusarium resistance identification method comprises the following steps: pre-culturing sand culture seedlings before inoculation; performing fusarium inoculation treatment on the sand culture seedlings; grading the disease conditions of the sand culture seedlings inoculated with fusarium, counting the morbidity of the sand culture seedlings, counting the number of diseased plants at each stage after the disease condition grading, and calculating disease condition indexes by combining corresponding stages of the disease condition grading; and evaluating the resistance of the medicago sativa to fusarium root rot according to the disease index. According to the alfalfa fusarium resistance identification method provided by the invention, the problems that the identification period is long and symptoms are inconvenient to observe due to the fact that an identification method of alfalfa fusarium resistance germplasm is easily influenced by environmental variation, soil microorganism interference and non-uniform pathogen distribution can be solved.

The invention discloses a fluorescent quantitative PCR (Polymerase Chain Reaction) primer group, a kit and a method for detecting tomato neck and root rot germs and application. Belongs to the technical field of gene detection. Sequence homology comparison is carried out on the tomato neck and root rot pathogen and other fusarium oxysporum genomes, a specific site for detecting the tomato neck and root rot pathogen is determined, and the sequence is as shown in SEQ ID NO.19. The site is further utilized to design an amplification primer group, a kit and a detection method, a real-time fluorescent quantitative PCR detection system of the FORL is established, the system is good in specificity, high in sensitivity, strong in repeatability and high in accuracy, can detect genome DNA of the tomato neck and root rot bacteria, the sensitivity is 16.4 pg / mu L, the quantity of the bacteria in infected plants can be rapidly and accurately identified, and the method is suitable for popularization and application. And a scientific basis is provided for early prevention and treatment of tomato neck and root rot.

This invention relates to molecular diagnostic tools for C. fimbriata to monitor and manage the pathogen in sweetpotato and other crop and forest systems where C. fimbriata can cause significant disease issues. Provided herein are methods to quickly detect and identify C. fimbriata in soil, wash water, diseased plants, or other complex samples.