1036 results about "Tea tree" patented technology

Present invention teaches the method of using a keratin hydrolysis peptide (“KHP”) solution to enhance the yield and quality of tea leaves. By selectively choosing specific weights of feathers and water, and treating the mixture to a high-temperature high-pressure hydrolysis process, the resulting solution is confirmed to contain at least 253 peptides and then apply to the tea trees either by infusing to the soil or by leaf spray at certain growth stages. Optionally, the KHP solution can be diluted by water, as disclosed in the specification, for soil infusing or leaf spraying.

The invention relates to the technical field of film material preparation, and discloses a polylactic acid antibacterial packaging film and a preparation method thereof, the polylactic acid antibacterial packaging film comprises the following raw material components by weight: 60-80 parts of polylactic acid, 10-20 parts of polyvinyl alcohol, 10-20 parts of nano zinc oxide, 0.5-1.5 parts of nano cellulose, 1-3 parts of an antibacterial agent, and 10-15 parts of corn starch; the antibacterial agent is prepared from the following components in parts by weight: 5-10 parts of carboxymethylated chitosan and 0.5-2 parts of a dynamic disulfide bond cross-linking agent, the substitution degree of the carboxymethylated chitosan is greater than or equal to 80%, the antibacterial agent is prepared from tea tree essential oil and eugenol, and the dynamic disulfide bond cross-linking agent is bis (3-aminopropyl) disulfide. By adopting a composite system of carboxymethylated chitosan and a dynamic disulfide bond cross-linking agent, the technical effects of humidity-triggered self-repairing and mechanical property synergistic improvement are achieved, and compared with a packaging film with a single polymer base material in the prior art, the problem of antibacterial failure caused by mechanical damage is solved.

The invention relates to a double-arm intelligent collaborative tea picking method and device based on multi-strategy dynamic scheduling, and belongs to the field of robot automation. The method comprises the following steps: obtaining three-dimensional coordinate information of a target picking point; identifying and positioning potential branch and leaf shields, and generating space data of the shields; the method comprises the following steps: simultaneously projecting a shielding object and a clamping jaw geometric contour under an expected grabbing pose on a plane where a target picking point is located, analyzing the overlapping amount, the proximity and / or the density of the projections of the shielding object and the clamping jaw geometric contour, and generating a standardized shielding evaluation index; comparing the shielding evaluation index with a preset decision threshold, and if the shielding evaluation index is greater than the preset decision threshold, executing a master-slave collaborative picking method based on multi-stage positioning; otherwise, executing the parallel picking method based on dynamic collision-free region division. The problems that a traditional single-arm tea picking robot is low in operation efficiency, high in collision risk and insufficient in intelligent degree in a dense and unstructured tea tree environment are solved.

The invention discloses a tea tree liquid phase chip and application thereof, and relates to the technical field of molecular detection. The invention discloses a tea tree liquid phase chip and application thereof, according to site screening requirements and probe design principles, the tea tree liquid phase chip comprises 5781 SNP sites, and tea tree resource genetic typing can be realized based on a target interval genome sequence liquid phase capture accurate positioning sequencing typing technology. The tea tree liquid chip can realize low-cost genetic typing, is mainly specific to tea trees, can realize variety identification and genetic relationship analysis of the tea trees, scientifically guides hybridization improvement work of the tea trees and assists protection and development of germplasm resources of the tea trees, and has relatively high application values in multiple fields of tea tree breeding. The tea tree liquid phase chip can be used for tea tree genetic diversity evaluation, germplasm resource and genetic relationship identification, genetic map construction and gene localization, whole genome association analysis and tea tree molecular marker assisted breeding.

The invention belongs to the field of biological organic fertilizers, and discloses a special organic selenium-rich fertilizer for grapes as well as a preparation method and application thereof. The fertilizer is prepared from the following raw materials in percentage by mass: 0.05-0.2% of a selenium complex, 2-15% of a stabilizer, 15-25% of a microbial fermentation product, 0.5-2.0% of a natural plant extract and the balance of auxiliary materials, totaling 100%. The microbial fermentation product is microbial fermentation liquid obtained by fermenting bacillus tequilensis and cyanobacteria; the auxiliary material is obtained by mixing sodium alginate and maltodextrin; the natural plant extract is obtained by mixing azadirachtin, sophocarpidine, tea tree essential oil and cnidium lactone. Through the synergistic effect of the microbial fermentation product, the natural plant extract and the auxiliary materials, the industrial problem that in the prior art, a selenium fertilizer can only improve the selenium content of grapes, but cannot effectively improve the disease resistance and insect pest resistance of the grapes and slow down selenium element loss is solved, and the double improvement of the grape quality and the selenium content is achieved.

The invention relates to a tea-picking robot autonomous navigation method based on tea ridge composite boundary identification and driving area adjustment, and belongs to the technical field of robot navigation. The method comprises the steps that tea ridge growth state information is evaluated, and a global path planning strategy is made; a root-ground intersection ground navigation datum line and lateral boundary constraints are established, the ground navigation datum line, the lateral boundary constraints and tea tree growth density and distribution characteristics are integrated, a tea ridge three-dimensional drivable road network model is established, and key geometric characteristics of the model are analyzed to establish an adaptive risk assessment system. Dividing the drivable area into areas with different risk levels; and establishing a multi-objective optimization function in combination with the risk region distribution diagram, fusing the multi-objective optimization function through an exponential weighted fusion mechanism, and generating an optimal navigation path under the risk gradient constraint. Guiding of intelligent navigation of the tea garden is achieved, the tea leaf picking efficiency and quality are improved, and technical support is provided for mechanical and intelligent picking of the tea garden.

The invention discloses a tea tree germplasm resource garden management method, which adopts a tea tree germplasm resource garden management system consisting of a data storage module, a data processing module, a system operation module, a system display module and an external port module. Through overall plane data and block distribution data of a tea tree germplasm resource garden, meteorological station and soil moisture content information data, basic information data of tea tree germplasm resources entering the garden, germplasm resource agronomic characteristic original data and data processing, agronomic character mean values of vigorous tea tree germplasm resource states in the fourth, fifth and sixth years are converted into standard values; and comparing agronomic character data of the seventh year with a standard value, carrying out fixed-period tea tree data acquisition, and combining a scientific management mode of resource nursery soil and climate factors to realize effective management of dynamic growth of resources of the resource nursery.

The invention belongs to the technical field of biological medicine, and particularly relates to a luliconazole composition containing essential oil, cream and a preparation method and application of the luliconazole composition. The present application provides a composition containing tea tree essential oil that promotes the skin permeability of luliconazole and has an antibacterial function, the tea tree essential oil and luliconazole form a synergistic antifungal effect, the transdermal absorption is enhanced by a natural terpene component, and the irritation to the skin is significantly reduced.

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 discloses a smart tea garden planting management system and method. The smart tea garden planting management system comprises a multi-source sensor network, an edge computing gateway, an AI decision unit and a control execution unit. The soil fertility and pest and disease damage are monitored in real time through a high-precision sensor, and precise recognition of disease spots and pests is achieved in combination with a YOLOv5 algorithm; the AI decision-making unit dynamically generates variable fertilization and graded prevention and control instructions according to the growth stages of the tea trees, and controls the water and fertilizer integrated device and the biological prevention and control equipment to execute operation. The system supports adaptation of multiple tea types, compatibility of new and old facilities and stable operation in an extreme environment, the fertilizer utilization rate is remarkably increased, the pesticide usage amount is reduced, and the system is suitable for intelligent and standardized management of large-scale tea gardens.

The present invention discloses a method for automatically and highly accurately extracting the vector of tea row boundaries based on UAV images of tea gardens, comprising the following steps: obtaining UAV multispectral images, annotating the region of interest to obtain the tea garden plot ROI mask; performing binary classification processing based on threshold segmentation to obtain the initial classification image of tea trees - soil; extracting the boundary contour and detecting straight lines from the initial classification image of tea trees - soil, and calculating the main direction slope of the tea rows of tea trees; generating parallel sampling paths based on the main direction slope of the tea rows and classifying them; grouping the parallel sampling paths according to the same category to obtain a scan line group of continuous tea tree or soil categories; filling the soil regions therein to complete the highly accurate extraction of the tea row boundaries. The method of the present invention realizes the highly accurate vector extraction of tea row boundaries by optimizing the segmentation boundary and eliminating discrete misclassified patches, and overcomes the problem that the tea row boundaries are unclear in the existing extraction of tea rows in tea gardens when there are missing tea trees, withered branches, and discolored leaves.

The invention relates to a tea leaf picking point positioning method based on virtual and real depth fusion, and belongs to the technical field of intelligent tea leaf picking. According to the method, through combination of an RGB-D camera, deep learning and biomorphological modeling, accurate positioning of a picking point and picking suitability in a complex tea garden environment is realized. According to the method, through multi-sensor information fusion, the growth state, morphological characteristics and environmental data of the tea leaves are obtained, machine vision and a deep learning model are combined, picking key points are accurately positioned, the picking opportunity is judged through a growth model, and therefore a more efficient and more intelligent tea leaf picking solution is provided. Through deep learning and biomorphic modeling technologies, growth characteristics and real-time image data of tea trees are comprehensively utilized, the accuracy and efficiency of tea leaf picking are greatly improved, and intelligent upgrading of the tea industry is further promoted.

The invention provides a CsERECTA gene-based tea tree leaf shape regulation and control method and a tea tree light utilization rate improving method, which are characterized in that a sequence of a tea tree gene is cloned to obtain a complete sequence; then, the CsERECTA is subjected to bioinformatics analysis, expression of a GUS reporter gene is started by constructing a plant expression vector and connecting a target fragment, and a recombinant plant vector is used for genetic transformation of tobacco, so that the function of the CsERECTA is verified; the character of the CsERECTA transgenic line is analyzed, the leaf shape is determined, the method capable of improving the leaf shape of the tea tree is obtained, and a foundation is laid for cultivating a new variety and improving the light utilization rate of the tea tree by using the CsERECTA gene.

The invention provides an unmanned aerial vehicle tea tree disease detection method based on morphological perception, and belongs to the technical field of agricultural information and computer vision. The method comprises the steps of firstly collecting tea garden images and constructing a data set; then, a target detection network embedded with a differentiable morphological sensor module is constructed, and the differentiable morphological sensor module extracts multi-scale shape features by using differentiable morphological operation; an adversarial learning mechanism is introduced in training, and the distinguishing ability of the model on disease and health areas is enhanced through a discriminator; after the training is completed, mining a difficult case sample based on the cosine distance between the morphological characteristics and the disease prototype vector, and carrying out supplementary training; and finally, integrating a plurality of models with optimal performance, and generating a final detection result through weighted reasoning. The method effectively strengthens the perception capability of the model for the subtle morphological characteristics of the diseases, solves the problems of low disease detection precision and insufficient difficult sample learning in a complex tea garden background, and remarkably improves the detection accuracy and robustness.

The invention discloses an environment-friendly composite tree wound healing agent and a preparation method and application thereof, and belongs to the technical field of garden maintenance, the environment-friendly composite tree wound healing agent comprises the following raw materials by weight: 40-70 parts of a film forming substrate, 10-20 parts of an active component, and 10-20 parts of a functional auxiliary agent; the film-forming substrate is prepared from the following raw materials in parts by weight: 10 to 20 parts of chitosan, 20 to 30 parts of modified starch and 10 to 20 parts of vegetable wax; the active component is prepared from the following raw materials in parts by weight: 0.1 to 0.5 part of indolebutyric acid, 5 to 10 parts of tea tree essential oil, 3 to 5 parts of radix scutellariae extract, 1 to 2 parts of zinc sulfate and 0.5 to 1 part of boric acid; the functional additive comprises the following raw materials in parts by weight: 2-5 parts of nano titanium dioxide, 3-5 parts of a thickening agent and 5-10 parts of a humectant; the positive effect is achieved on tree wound healing.

The invention relates to a dense tea tree bud leaf picking point positioning method and device, equipment and a medium, and the method comprises the steps: extracting unshielded tea tree bud leaves and the convolution features of the shielded tea tree bud leaves in a convolution backbone network, and mapping the convolution features to graph nodes for representation in a node embedding module, embedding graph node information through the learned adjacent matrix to capture a neighborhood relationship; the relation between different graph nodes is dynamically adjusted in a dynamic adjacency matrix weighting module, so that adaptive learning is carried out in a graph structure, and graph convolution operation is adopted in a graph relation layer to allow information interaction and propagation between different picking points of unshielded tea tree buds and leaves so as to capture global and local context information; and optimizing the relative position relationship between the picking points of the unshielded tea tree bud leaves and the shielded tea tree bud leaves by adopting the relative position loss so as to deduce the picking points of the shielded tea tree bud leaves. According to the invention, the picking point positioning of the shielded tea tree bud leaves can be greatly improved.

The invention belongs to the technical field of carbon sink evaluation, and discloses a typical weather-oriented tea garden carbon sink dynamic profit and loss evaluation method and system. Historical meteorological information and historical carbon sink monitoring information of the tea garden are collected, and a typical weather type library of the tea garden is constructed; determining a typical weather type corresponding to the current day of the tea garden, and calculating a carbon sink fixed amount and a carbon sink output amount of the tea garden; generating a correction factor for correction according to the management activity information of the tea garden to obtain a net carbon sink value; generating a total score based on comprehensive analysis of the net carbon sink value, and evaluating the carbon sink profit and loss condition of the tea garden; the carbon sink meteorological influence parameters before and after the monitoring time point are collected for comprehensive analysis to calculate the carbon sink fixed quantity and the carbon sink output quantity, calculation deviation caused by parameter fluctuation at a single time point can be avoided, and therefore the method better fits the continuous physiological process of photosynthesis / respiration of the tea trees, and the detection accuracy is improved. And the calculation result of the carbon sink fixed quantity / output quantity is closer to the actual condition.

The invention relates to the technical field of plant ecological carbon sink measurement and calculation, in particular to a tea garden carbon reserve dynamic monitoring and prediction method based on meteorological data, a typical sample plot in a tea garden is selected, meteorological data and basic carbon reserve of the typical sample plot are acquired, and the meteorological data comprise real-time data and forecast data; establishing dynamic monitoring, and performing heat damage identification and freeze damage identification on real-time data; establishing a carbon reserve dynamic correction model; a carbon reserve prediction model is established, and when heat damage and / or freezing damage occur in prediction data, the carbon reserve dynamic correction model is used for prediction to obtain a prediction result; according to the method, the damage of high-temperature stress to the tea trees has a gradual superposition characteristic, high-temperature inhibits photosynthesis, so that calculation is performed in a summation form, cold waves increase respiratory consumption, and the damage mainly depends on the intensity peak value and the cooling rate of a single event; by providing more accurate dynamic measurement and calculation as the supplement of static measurement and calculation, the change condition of the carbon reserves of the tea garden can be reflected in time.

According to the tea tree precise breeding phenotype prediction method based on GWAS and eQTL analysis, genotype information is directly used for construction of a phenotype prediction model, and therefore efficient early phenotype prediction is achieved; the genome data and the phenotype data are fused, and a phenotype prediction model is constructed by adopting a feature optimization and machine learning technology, so that the problems of tea tree genome complexity and long phenotype identification period are effectively solved. The prediction method comprises the following specific steps: collecting data, and carrying out data annotation; the marked data is preprocessed; constructing a learning model; and training and testing the model. A learning model adopts six machine learning algorithms including support vector regression, a lightweight gradient elevator, random forest regression, linear regression, gradient lifting regression and a Bayesian ridge model, a group genetic relationship matrix is added on the basis of the algorithms, a plurality of models are comprehensively compared, and a group genetic relationship is obtained. And finally, a Bayesian ridge plus group genetic relationship matrix algorithm with the optimal prediction effect is screened out.

The invention discloses an intelligent management system for low-fluorine tea germplasm identification and breeding regulation and control, which relates to the field of intelligent breeding management and comprises a planting unit adjustment module, a data processing module, a data analysis module and a breeding management module. According to the method, a whole-process closed-loop management mechanism from parent data evaluation, planting environment adjustment to sensitivity screening and elimination is constructed, the fluorine accumulation value is calculated in combination with flux conservation, the scientificity and credibility of fluorine load evaluation are improved, breeding direction selection is assisted, the purity of breeding achievements is guaranteed, quantitative recognition and dynamic tracking of low-fluorine characteristics are achieved, and the method is suitable for popularization and application. A plurality of key regulation and control parameter mapping mechanisms are embedded, intelligent decision making and dynamic environment adaptation are supported, the manual intervention cost is reduced, and the efficiency and accuracy of low-fluorine breeding are improved.

The invention provides a dendrobium devonianum epiphytic tea tree cultivation method, which belongs to an epiphytic plant planting technology, and is characterized in that a dendrobium devonianum root system can be closely fused with a tea tree trunk through treatment of'minimal trauma + callus inducer ', and a structural foundation is laid for material exchange. The jasmonic acid methyl ester stress with a specific concentration is applied to the dendrobium nobile in the key phenological period, the dendrobium nobile is accurately induced to synthesize and secrete beneficial secondary metabolites, the theanine content in the tea can be remarkably increased, the proportion of ester type catechin can be reduced, and therefore the fresh degree of the tea is remarkably increased, and the astringent taste of the tea is remarkably reduced. The stress resistance of the dendrobium devonianum and the tea trees treated by the method is also enhanced, and the disease occurrence rate is reduced. While high-quality dendrobium nobile is harvested, the quality and economic benefits of the produced tea leaves are synchronously improved.

The invention is suitable for the technical field of gynecological gels, and provides a gynecological gel with a repairing effect. Comprising the following components in percentage by weight: 0.1%-0.5% of recombinant III type human collagen, 0.05%-0.2% of mussel mucin, 1%-3% of chitosan, 0.2%-1% of sodium hyaluronate, 2%-5% of lactobacillus fermentation product filtrate, 0.05%-0.2% of tea tree essential oil, 0.2%-0.5% of carbomer, 0.1%-0.4% of triethanolamine, 0.1%-0.2% of sodium methylparaben and the balance of purified water. The gynecological gel with the repairing effect has the excellent repairing effect, integrates multiple effects of effectively resisting bacteria and diminishing inflammation, promoting repairing of damaged vaginal mucosa, adjusting vaginal micro-ecological balance and the like, not only can efficiently inhibit growth of various pathogens, but also can remarkably promote proliferation and repairing of vaginal mucosa cells, and has the advantages that the repairing effect is good, and the repairing effect is good. The vaginal micro-ecological balance can be accurately adjusted, no stimulation is caused to vaginal mucosa, safety and reliability are achieved, and long-term use can be achieved.

The invention relates to the technical field of plant essential oil, in particular to natural acne removing and repairing plant essential oil and a preparation method and application thereof. The natural acne removing and repairing plant essential oil is prepared from, by weight, 40-60 parts of mixed oil, 40-60 parts of lavender essential oil, 20-30 parts of tea tree essential oil, 20-30 parts of chamomile essential oil, 20-30 parts of additive liquid, 10-20 parts of grape seed oil, 6-10 parts of pomelo essential oil, 2-4 parts of solubilizer and 0.8-0.12 part of dispersing agent. According to the preparation method, mesophyll tissues in the tea leaves can be separated through enzymolysis, rough vein components in the tea leaves are removed, so that the extract is finer, the smearing comfort of essential oil is improved, the tannic acid component rich in the tea leaves is utilized, and tannic acid can inhibit growth and reproduction of bacteria in acne, so that the skin is kept in a clean state; the acne symptom is improved, and meanwhile, the recurrence rate of the acne is effectively reduced.

The invention provides a multi-mode remote sensing tea garden automatic identification method and system integrating phenolic indexes and phenological characteristics. According to the method, the growth amplitude GA reflecting tea phenological characteristics is calculated through medium-resolution time sequence radar data, and the normalized vegetation index NDVI, the phenolic compound index PCI and the phenol high-value dominant index PHD are calculated from optical remote sensing images so as to represent the growth condition of the tea tree and the change rule of the phenol content. A double-branch lightweight deep learning model is constructed, a first branch processes a high-resolution remote sensing image, and a second branch processes multi-modal tea garden remote sensing features; and then multi-modal geoscience knowledge of the tea garden is fully extracted and fused through a double-branch fusion module, refined and automatic extraction of large-area tea garden distribution is realized, and key technical support is provided for tea garden resource monitoring, management and the like.

The invention provides an external application medicine for incontinent dermatitis and a preparation method thereof. The composition is prepared from active ingredients such as a radix sophorae flavescentis extract, calamine, vitamin E, ceramide, a herba portulacae extract, glycyrrhizic acid, chitosan and colloidal oat powder according to a specific proportion. Moisturizing matrixes such as sodium hyaluronate and glycerol and functional components such as tea tree essential oil are supplemented. And through a preparation process of matching high-speed shearing with ultrasonic dispersion, uniform dispersion and stability of each component are ensured. Experimental results show that the composition shows a remarkable synergistic effect in the aspects of anti-inflammation, antibiosis, skin barrier repair and the like, the comprehensive relieving and repairing effect of the composition is superior to that of a conventional drug control, and all the components and a special preparation process are necessary for achieving the optimal effect. The product has no irritation to human skin, is good in safety, can be prepared into various dosage forms such as cream, hydrogel or spray, and is suitable for nursing and repairing sensitive skin.

The invention relates to a composition with a permeation enhancing effect and application thereof. The composition is prepared from the following components in parts by weight: 10 to 15 parts of ethoxydiethylene glycol, 10 to 15 parts of isosorbide dimethyl ether, 5 to 10 parts of folium artemisiae argyi extract and 1 to 6 parts of tea tree essential oil. According to the permeation enhancing composition, traditional azone easy to sensitize and ethyl alcohol easy to cause stimulation are abandoned, the efficient, safe and lasting permeation effect is finally achieved, and the permeation enhancing composition meets the high-activity component delivery requirement of cosmetics.

The invention discloses a preparation method of CsPHT1; the invention discloses modification of selenium element absorbed by tea and application of the gene 3 to feed, and relates to the field of agricultural gene engineering. CsPHT1 (CsPHT1); the gene 3 is GenBank: OP219455.1, gene mutation of D144K and T150V is carried out on the gene 3, and the amino acid sequence after mutation is shown as SEQ ID No: 01; tea tree CsPHT1; 3, the cultivation of D144K and T150V gene mutation seedlings is improved by the gene. The new variety cultivated by the invention can improve the selenium content and the oxidation resistance of the selenized tea polysaccharide without being influenced by the change of pH 5-7; the selenium-supplementing feed is obtained by mixing the high-selenium tea leaves with the feed, and the requirements of the current high-end feed market are met.

The invention discloses an organic fertilizer suitable for tea yield increase and insect killing and a preparation method thereof, and relates to the technical field of organic fertilizer and microbial fertilizer manufacturing. The organic fertilizer is prepared from straw, chicken manure, radix inulae, clinacanthus nutans, affine cudweed, periploca forrestii schltr, ellagic acid-rice protein zymolyte, sodium laurate modified diatomite, sodium humate, urea, compound microorganism bacteria and water. The compound microorganism bacterium is composed of candida utilis saccharomycetes and neurospora intermedia. The compound microorganism bacteria in the organic fertilizer are beneficial to accelerating fermentation decomposition of the straw, the chicken manure, the sodium humate, the urea and the traditional Chinese medicine plants and promoting macromolecular substances to be converted into micromolecular active ingredients, then ellagic acid-rice protein zymolyte and sodium laurate modified diatomite are supplemented, and the yield of tea tree planting is increased through reasonable proportion of nutritional ingredients.

The invention relates to a method for screening drought-resistant tea germplasm and application. The method for screening the drought-resistant tea tree germplasm comprises the following steps: step 1, performing repeated drought treatment on a tea tree, and measuring phenotype, metabolome data and transcriptome data of a sample; 2, screening the differential metabolite from the metabolome data, wherein the expression mode of the differential metabolite is that the differential metabolite does not respond or has no significance in response when the differential metabolite is subjected to drought for the first time and has significant response after multiple times of repeated drought, and taking the differential metabolite as a memory metabolite; 3, screening and analyzing differential genes in the tea trees subjected to repeated drought treatment: screening memory key genes from the differential genes; and step 4, according to the transcriptional level of the memory key genes in the tea tree leaves, determining the key genes with high transcriptional level as the drought-resistant tea tree germplasm. The 9 memory key genes are verified, the result shows that the selected gene is consistent with the transcriptome sequencing result, and the gene has good sensitivity, specificity and accuracy in screening drought-resistant tea trees or improving the drought resistance of the tea trees.

The invention discloses an antibacterial coating which comprises a component A and a component B. The component A comprises the following raw materials in parts by weight: 40-60 parts of epoxy resin, 15-35 parts of polyamide resin, 5-10 parts of tea tree essential oil, 1-3 parts of di (2-ethylhexyl) phthalate, 1-2 parts of fumed silica, 1-2 parts of acrylate, 1-2 parts of sodium phosphate and 1-2 parts of polyvinyl ether. The component B comprises the following raw materials in parts by weight: 20-30 parts of modified nano zinc oxide, 40-60 parts of an antibacterial curing agent, 15-20 parts of butanol and 2-10 parts of acetone. The weight ratio of the component A to the component B is 8: (2-4), and the water-resistant coating is excellent in mechanical property, high in adhesive force and good in water resistance.