205results about How to "Accurate and reliable identification results" patented technology

The invention relates to a method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics, which mainly comprises the following steps: carrying out detection on a Chinese herbal medicine sample by using the THz-TDS so as to obtain a terahertz time domain spectroscopy, and after the terahertz time domain spectroscopy is subjected to Fourier transform and calculated by using Timothy and Duvillaret methods, obtaining an absorption coefficient spectrum, and dividing the absorption coefficient spectrum into a training-set sample and a validating-set sample absorption coefficient spectrum; carrying out preprocessing on the training-set sample and the validating-set sample absorption coefficient spectrum by using an orthogonal signal correction method; establishing a qualitative analysis model by using the least squares support vector machine (SVM) method according to the training-set sample and the validating-set sample absorption coefficient spectrum so as to carry out identification on the Chinese herbal medicine sample. The method disclosed by the invention is simple, pollution-free, capable of rapidly and accurately carrying out nondestructive identification on the Chinese herbal medicines, and applicable to the quality control in the process of Chinese herbal medicine production, and the identification accuracy of the method can reach 97.84+ / -1.62%.

The invention discloses a hybrid power tramcar speed adjusting method based on real-time power of a power system. The method comprises the steps that a tramcar energy consumption model is established,and an offline planned speed-time curve of a tramcar is solved; basic resistance parameters of the tramcar are identified, self-adaptive online adjustment is carried out, and an accurate speed powermodel of a tramcar system is established; the tramcar runs according to the offline planned speed-time curve, and the real-time maximum power of the whole power system is compared with the real-time power of the power system, so that the self-adaptive adjustment of the running speed of the tramcar is realized; and the path difference caused by the speed adjustment is taken as a coefficient, and the path difference caused by the speed adjustment is eliminated through speed closed loop feedback. The hybrid power tramcar speed adjusting method automatically adjusts the running speed of the tramcar according to the real-time maximum power of the power system, and provides a speed-time curve with online tracking and self-adaptive adjustment for an automatic train driving system; and the power performance is exerted to the maximum extent, and safe, reliable, punctual running of a vehicle can be ensured.

The invention discloses a liquid chromatography-mass spectrometry screening method of unknown toxic substances in blood. The liquid chromatography-mass spectrometry screening method comprises the following steps: taking a blood sample to be detected, adding acetonitrile precipitated protein, oscillating, centrifuging, taking a supernatant, filtering by using a 0.22-micron microporous organic filter membrane, then performing LC-MS / MS analysis, and judging whether the blood sample to be detected contains toxic substance components or not according to an analysis result; the used instrument is an ultraLC 100-XL-4000Q TRAP liquid chromatograph / mass spectrometer or an Agilent 1100 liquid chromatography-AB 3200 QTRAP triple serial quadrupole mass spectrometer from an AB company. By the liquid chromatography-mass spectrometry screening method, detection methods of different types of toxic substances are established, detection is fast and accurate, the detection limits of common toxic substances are given, high-sensitivity and effective detection of all target objects are guaranteed, a scientific data support is provided for a negative detection result, and thus a strong scientific basis is provided for relevant clinical diagnosis and rescue as well as criminal investigation and litigation.

A wheat heat resistance identification method is provided. The method includes identifying heat resistance in an intelligent greenhouse, identifying heat resistance in a greenhouse built in land for growing field crops, recording heat resistance identification indexes, calculating a thermal inductance index, determining variety heat resistance, determining a stable heat resistant variety, and other steps. Identification results of the method are accurate and reliable. According to the method, heat resistance identification in the intelligent greenhouse and heat resistance identification in the greenhouse built in land for growing field crops are combined, and interannual heat resistance identification results and heat resistance identification results of different ecoregions are compared and combined, and therefore the method is of great significance for heat resistance identification of wheat genetic resources and breeding parents, for screening of proper heat resistant wheat varieties suitable for plantation in Huanghuaihai zones and for grain safety in China. The identification indexes are easy to measure, and through mutual corroboration of indoor identification and land identification, heat resistance of a wheat variety can be truly reflected.

The invention relates to a related specie identification technology, in particular to a method for identifying related species of an oyster. The method specifically comprises the following steps of: by using an oyster genome DNA (Deoxyribonucleic Acid) as a template, designing a primer according to a tag sequence of the oyster specie genome; carrying out PCR (Polymerase Chain Reaction) amplification on the primer; and distinguishing oyster species by using Tm value difference in a high-resolution melting curve of an amplification product. Through the adoption of the method provided by the invention, the species can be identified rapidly, economically, simply and conveniently; and compared with a tag sequence sequencing result, an identifying result of the method provided by the invention is 100% in accuracy.

The invention discloses a ralstonia solanacearum disease resistance high density identification method in the field, comprising: 1) cultivating ralstonia solanacearum disease nursery; 2) tidying disease nursery field in due time: before tobacco in the disease nursery is transplanted, tidying land to reach the requirement of ridging, furrowing and covering with a mulching film due to finely divided soil; according to the requirement that the width of each furrow is 1.5-2.5m and the ditch width between furrows is 0.5-0.7m, making a furrow, levelling furrow surface, and adjusting length according to the size of a plot; 3) determining cultivating density, and adopting a parallel furrow transplant mode: transplanting more than 3-5 lines in each furrow with the row spacing of 0.2-0.4m; 4) reasonably applying fertilizer, and strengthening field management: at the weight ratio of 1:1-2:1-2 of nitrogenous fertilizer, phosphatic fertilizer and potassic fertilizer, adopting a mulching film covering mode, and paying attention to field irrigation; and 5) inspecting and grading state of illness. The invention has the advantages that the ralstonia solanacearum disease resistance high density identification method in the field improves large field identification efficiency of ralstonia solanacearum disease resistance, can be applied to identify ralstonia solanacearum disease resistance, can improve identification material for above 4-6 times under the condition of same capital and disease nursery area and can be applied to breed ralstonia solanacearum disease.

The invention provides a method for identifying whether a blood-glucose-lowering traditional Chinese medicine contains pioglitazone or rosiglitazone or not. The method comprises the following steps: carrying out thin layer chromatography on a blood-glucose-lowering traditional Chinese medicine to be detected; finding a suspected spot at a corresponding Rf value part of the pioglitazone and the rosiglitazone. The method is characterized by further comprising the following three steps: 1, collecting a series of one-dimensional surface enhanced Raman spectrums of the suspected spot to obtain a dynamic spectrum pattern of the blood-glucose-lowering traditional Chinese medicine to be detected; 2, pre-treating the dynamic spectrum pattern and drawing to obtain a two-dimensional correlation surface enhanced Raman spectrum of the blood-glucose-lowering traditional Chinese medicine to be detected; 3, judging whether the blood-glucose-lowering traditional Chinese medicine contains the pioglitazone or the rosiglitazone or not according to the two-dimensional correlation surface enhanced Raman spectrum of the blood-glucose-lowering traditional Chinese medicine to be detected. According to the technical scheme provided by the invention, whether the blood-glucose-lowering traditional Chinese medicine contains the pioglitazone or the rosiglitazone or not can be identified rapidly; the detection result is accurate and reliable, the cost is low and the operation is convenient.

The invention discloses a method for estimating the remaining power of an electric vehicle power battery. The method comprises steps that based on the volume Kalman algorithm, a model for estimating the remaining power of the power battery is established; polarization internal resistance Rp(k), polarization capacitance Cp(k), equivalent ohmic internal resistance R0(k), the remaining power SOC (k)and an end voltage Ut(k) of the power battery at the time k are obtained; an open circuit voltage UOC(k) of the power battery at the time k is calculated; a state estimation error delta e(k) and a noise error V(k) are calculated; the BP neural network based on width learning is constructed, the delta e(k) and the V(k) are inputted into the BP neural network, and a variance compensation value deltaQk of process noise distribution at the time k and a variance compensation value delta Rk of observed noise distribution are outputted by the BP neural network; the delta Qk and the delta Rk are utilized to compensate Qk-1 and Rk-1 at the time k-1, and Qk and Rk at the time k are generated; a value of x(k+1) of the model for estimating the remaining power of the power battery is calculated through the volume Kalman algorithm, and the remaining power SOC (k+1) at the final (k+1) time is obtained. The method is advantaged in that the remaining power of the power battery can be rapidly and accurately estimated.

The invention relates to a method for identifying an aphid-resistant transgenic cotton. The method comprises the following steps: planting control varieties and checked varieties in a flower pot with a cover at room temperature; carrying out artificial aphid inoculation on each control variety and each checked variety; investigating the number of cotton aphids on each plant of the cotton the third day after the artificial aphid inoculation is carried out; and taking the blade of the cotton plate most severely damaged as a standard leaf to investigate aphid harm magnitude of the control varieties and the check varieties the seventh day after the artificial aphid inoculation is carried out, and identifying the transgenic cotton variety resistant to the aphids according to the aphid hazard index and aphid hazard index deceasing rate. The method provided by the invention features good practicability and operability and stable and reliable identification result.

The invention relates to a method for identifying tobacco black shank resistance in disease nursery. A continuous cropping tobacco field in a historical high occurrence area of the tobacco black shank disease is selected as a disease nursery; plants are inducted to develop the disease through the improvement of the field humidity, so that the complex operation of strain separated storage and culture is reduced; the strain is sourced from the field; the quantity and variety of the microspecies for inoculation are theoretically unlimited; and the method has better diversity and representativeness, and the inoculation conditions are under the control of nature, so the identification results reflect the local practical situation of the day more correctly. A one-off uprooting investigation method after the collection of the flue-cured tobacco is adopted so as to greatly reduce the workload, save the cost and bring about a correct and reliable result. The method is characterized by low cost and simple and feasible operation. The method is an economical and practical method and has bright market and application prospect.

The invention relates to a proteome label-free quantification method combining tandem mass spectrometry with machine learning algorithm, which is used for absolute and relative quantitative analysis of a proteome level. The method firstly analyzes an enzymolytic peptide fragment mixture of a proteome actual sample for establishing a training data set and an enzymolytic peptide fragment mixture of a proteome sample to be analyzed by using a liquid chromatography-tandem mass spectrometry system. The total amount of the samples can be obtained by cell counting or protein concentration determination, and the absolute amount of each protein can be calculated according to the percents and sample total amount calculated in the last step. The absolute amounts of the same protein in different samples are compared to obtain relative quantitative information of the protein in different samples. The method has good accuracy in both absolute quantification and relative quantification.

The invention discloses a method and a pair of special primers for identifying purple properties of Chinese cabbages. One of the primers is shown in SEQ ID NO:1, and the other one of the primers is shown in SEQ ID NO:2. In the invention, by using the F2 colony for controlling the genes of the purple properties to be positioned on the A3 chromosome for the first time, molecular markers which are closely linked with the purple properties are found, and the molecular markers can be used for identifying the purple properties of Chinese cabbages, thereby laying the foundations for performing molecular marker-assisted breeding and cloning genes. The identification method disclosed by the invention has accurate and reliable identification results and can be used for identifying in the early stage of growth of Chinese cabbages without waiting for the maturation of plants, thereby saving the time, lowering the labor cost, increasing the breeding speed and having important significance.

The invention discloses a digital coal dust flame length measuring system during instantaneous explosion comprising a high temperature heating ignition sub system for igniting the cost dust, a dust sending sub system for sending coal dust to the high temperature heating ignition sub system, a sub system for photographing flame image during instantaneous explosion and collecting data and a main control unit; the dust sending sub system and the high temperature heating ignition sub system are connected electrically with the main control unit and controlled by the same. The sub system for photographing flame image during instantaneous explosion and collecting data is connected electrically with the main control unit and outputs collected image data to the main control unit to be processed. Furthermore, the invention discloses a digital coal dust flame length measuring method that uses computer image processing analysis technique to analyze flame generated by explosion. Compared with prior judging technique, accuracy and scientificity are improved greatly and judging result is object and fair.

A method for identifying whether ephedrine and / or pseudo ephedrine are / is added to weight-reducing type traditional Chinese medicine or health care products rapidly identifies whether illicit ephedrine and / or pseudo ephedrine are / is added to weight-reducing type traditional Chinese medicine preparations or health care food through a two-dimensional correlation infrared spectroscopy method and includes the following steps of preparing potassium bromide tablets, collecting a dynamic spectrum, obtaining characteristic peaks, conducting comparison and judgment to determine whether a to-be-tested sample contains ephedrine and / or pseudo ephedrine, wherein two-dimensional correlation spectra of the obtained to-be-tested sample, an ephedrine standard sample and a pseudo ephedrine standard sample are compared and judged, and characteristic peaks, correlation peaks and cross peaks are sequentially contrasted for a two-dimensional correlation power spectrum, a two-dimensional correlation synchronous spectrum and a two-dimensional correlation asynchronous spectrum.

The invention relates to a verticillium wilt resistant cotton breeding method, which comprises the following steps: (1) a disease nursery is established and the pathogenic seeds are annually updated; (2) the seeds are soaked, infected with pathogen and sowed; (3) the verticillium wilt resistant cotton material is bred. The method can also identify and screen out a cotton variety with compatible resistance by introducing a Bt gene. The variety which is accurately bred by the method and the breeding process provided by the invention has the advantages of strong and stable verticillium wilt resistance, high yield, wide applicability and remarkable economic benefits.

The invention discloses a method for performing cross breeding on water chestnut and Dongkui waxberry for waxberry cultivating variety. The method comprises the following steps: by taking water chestnut as a female parent and taking male flower of Dongkui waxberry as a male parent, pollinating during water chestnut full-blossom period; collecting seeds after the fruits are ripened, storing the seeds at the temperature of 5 DEG C, seeding to obtain F1 plants; and screening true hybrid plants from the F1 plants. Intervarietal cross breeding between the waxberry cultivating varieties such as water chestnut and Dongkui waxberry is realized for the first time, true hybrid plants with certain genotypes are obtained, and a novel technological approach is provided for breeding novel waxberry variety. Moreover, the filial generation is subjected to hybrid identification by amplifying specific expression SSR markers of the F1 generation, the identification process is simple and rapid and the cost is low, the identification result is stable and reliable, and the gap of the molecular biological identification technology of waxberry intervarietal hybridization is filled.

The invention relates to a gray mold seedling-stage inoculation identification method for capsicum and belongs to the technical field of plant protection. The method comprises the steps of culturing botrytis cinerea, collecting botrytis cinerea spores, preparing a 10<6> / mL botrytis cinerea spore suspension, sowing capsicum seeds in sterilized soil, putting the capsicum seeds into a greenhouse with the temperature of 20-25 DEG C, dropwise adding the spore suspension to seedling center growth points for inoculation after each seedling grows to a four-leaf period, carrying out closed moisture preserving on the greenhouse, and carrying out gray mold investigation 21 days later. The method has the technical characteristics of seedling stage identification, simplicity and convenience in operation, high efficiency, rapidness and accurate and reliable identification results. The method is mainly applied to the fast screening of disease-resistant germplasm from capsicum resource varieties and the disease resistance identification on the varieties and serves the selective breeding of disease-resistant new varieties and the rational layout of disease-resistant varieties.

The invention discloses an SCAR molecular marker for identifying banana vascular wilt. The molecular marker has the nucleotide sequence shown as SEQ ID:4. The invention also discloses a primer used for amplifying the SCAR molecular marker, a kit containing the primer and application of the molecular marker, the primer and the kit to identification of banana vascular wilt resistance or screening ofbanana with vascular wilt. The invention also discloses a method for identifying the banana vascular wilt resistance. A banana leaf DNA is used as a template, the primer is used for PCR amplificationreaction; amplification products are detected; the detection of whether a 296bp specific strip exists or not is used as the concrete expression. The SCAR molecular marker provided by the invention provides a molecular assistance technology for the banana disease-resistance new variety breeding; the SCAR molecular marker can be further used for the auxiliary screening of the banana new variety (line) using banana tissue culturing seedlings, banana field variant strains, physicochemical mutagenesis later generations and the like as screening groups.

The invention discloses a method for the fast detection and identification of bacterial wilt caused by the infection of ralstonia solanacearum. The method comprises three stages of preparing plant disease samples, observation with naked eyes and PCR verification, wherein the detection and the identification can be completed within four hours with low cost. The method makes a breakthrough on characteristics of traditional bacteriosis identification such as long period, high professional demand and higher cost and also overcomes the deficiencies of microbial identification system imported overseas, such as specific instruments and materials, high cost and longer identification period, and by means of the organic combination of special superficial symptoms of the disease sample and molecularbiotechnology, accurate and reliable results can be obtained in order to meet the demand of fast, accurate identification for plant diseases in actual production.

The invention discloses a separation / purification and pathogenicity identification method for pathogenic bacteria of fusarium root rot of Medicago sativa. The method comprises the specific steps of collecting and preparing diseased Medicago sativa plants, carrying out separation and purification on the pathogenic bacteria, carrying out morphological observation on the pathogenic bacteria, carrying out molecular biology identification, constructing an evolutionary tree and carrying out pathogenicity identification. According to the method, the identification on pathogens of root rot of the Medicago sativa is simple in operation and high in accuracy and is simple, convenient and rapid; the separation and purification purity is high, the identification result is reliable, and the strength of pathogenicity of each strain is determined through pathogenicity identification.

The invention belongs to the field of biological technique, relates to a molecular identification method for the purity of a cotton restoring line, and particularly provides a primer of a SSR (Simple Sequence Repeat) marker for identifying the cotton restoring line containing the sterile cytoplasm of gossypium harknessii. The primer is as shown in nucleotide sequences such as SEQ ID No.1 and 2 and / or SEQ ID No. 3 and 4. The SSR marker is adopted for carrying out polymorphism detection of molecular level on the cotton restoring line material containing the sterile cytoplasm of the gossypium harknessii. The molecular identification method is fast in identification speed, high in accuracy and simple in operation and is very suitable for the indoor identification of the cotton restoring line and the assisted-selective breeding of molecular markers.

The invention provides a method for identifying whether a diploid potato is self-compatible, and relates to the technical field of genetic breeding. The method is to identify whether StSCI gene in thediploid potato is transcribed and expressed. The invention also discloses a method for adopting molecular markers to identify whether the StSCI gene is expressed and for screening molecular markers.The method for screening molecular markers comprises: obtaining genomic sequence information of a parent material, screening differential sites of the parent material, screening molecular markers, andidentifying whether the screened molecular markers are available. Identification of self-compatibility of diploid potatoes by adopting the screened molecular markers has the advantages that the identification workload is small, a lot of time is saved, and the identification results are not affected by the environment, are accurate and reliable.

The invention relates to an otolith measurement and fish population discriminating method based on a polar coordinate, relates to the fish farming and management field and particularly relates to the method for distinguishing fish populations through measuring fish otolith. According to the method, a center point of an otolith picture is taken as a measurement reference point; end pointd, convex concave points or inflection points having prominent features in the otolith form are searched and taken as characteristic points; through establishing polar coordinates, the characteristic points and a core point are connected, radial length between the core point and each characteristic point is measured to acquire a set of characteristic length data; included angles of two adjacent connection lines are sequentially measured by utilizing the measurement software to acquire a set of characteristic angle data; on the basis of the characteristic length data and the characteristic angle data, a discrimination analysis method or a gray cluster analysis method is utilized, a population type of a detected sample is discriminated. Compared with a discriminating method through utilizing only the length, the otolith measurement and fish population discriminating method is advantaged in that the discrimination result is more accurate and reliable, and the fish population discrimination correct rate can be remarkably improved.

The invention discloses a method of tracing places of origin of aquatic products based on amino acid carbon stable isotopes; the method comprises the steps of subjecting a pretreated sample to amino acid extraction before purification; adding hydrochloric acid into the sample, hydrolyzing, centrifuging, subjecting supernate to purification of strong cation exchange columns, concentrating the purified liquid via nitrogen blowing process to obtain sample amino acid; adding amino acids into thionyl chloride-isopropanol solution by means of N-pivaloyl and O-isopropanol ester (NPP) process, performing amino acid derivation, blow-drying by nitrogen, acylating by pivaloyl chloride, passing through silica gel chromatographic columns, concentrating the obtained liquid by a nitrogen blowing process to obtain a derivative, dissolving in ethyl acetate for cryopreservation, and performing amino acid C stable isotope measurement, to be specific, analyzing and identifying an amino acid ester sample via a gas chromatograph-mass spectrometer; comparing amino acid delta 13C values of samples from different sea areas to identify different types of aquatics from different sea areas.

The present invention discloses a SNP molecular marker associated with growth traits of Pelteobagrus vachelli, which is located at 41cM position of linkage group 14 of Pelteobagrus vachelli. The nucleotide sequence of the SNP molecular marker is shown as SEQ ID NO: 1, and a SNP site exists at the 26th position of the gene sequence: the base is G or C. The SNP molecular marker is located at 41cM position of linkage group 14 of Pelteobagrus vachelli. The invention also discloses a specific primer, a kit and a detection method for detecting the molecular marker. It is found that, The genotype ofthe SNP site at 26 bp of the gene at 41 cM in linkage group 14 of Pelteobagrus vachelli is GG, GC or CC is closely related to growth traits of Pelteobagrus vachelli, such as body weight, body width and total length. Therefore, the SNP molecular marker of the invention can be used for detecting or assisting in detecting growth traits of Pelteobagrus vachelli, and can be used for assisting selectionand breeding of Pelteobagrus vachelli. The invention has important guiding significance for breeding new strain of excellent growth characteristics of Pelteobagrus vachelli.

The invention discloses a verification method for saline-alkaline resistance of paddy rice. The verification method comprises the following steps: (1) preparing a saline-alkaline solution; (2) carrying out seed germination treatment; (3) observing and recording a germination result; (4) computing a result, and comparing a computing result with a relative saline / alkaline damage rate grading standard table, thus verifying the strength of the saline-alkaline resistance of the paddy rice. According to the verification method disclosed by the invention, the saline-alkaline resistance of paddy rice varieties can be verified, so that basis is provided for later research as well as development and utilization of seed quality resources of the paddy rice; the verification method is simple and easy in operation, the verification result is reliable, and the standard is high.

The invention provides a method for rapidly, accurately and efficiently identifying the molecules of a broccoli variety Tailv1 hybrid. The method comprises the following steps: extracting genomic DNA from a sample to be detected, carrying out PCR amplification on the genomic DNA by a PCR primer of 5'-TCTCTCTCTCTCTCTCN-3', carrying out gel electrophoresis imaging analysis on the obtained PCR amplification products, and judging the sample to be detected as a Tailv1 hybrid single plant if about 800bp and about 600bp brands are simultaneously obtained through amplification; and calculating according to a formula of genetic purity of hybrid = number of hybrid plants / number of sample plants to be detected *100% to obtain the genetic purity of the sample to be detected. The accuracy of the identification of the purity of the broccoli variety Tailv1 hybrid by an ISSR primer TNISSR15 used in the invention is high, has a 99% consistency with a field identification result, and is reliable; the identification can be completed within 10d, the tedious program of field planting identification is avoided, the labor force and the land resource are saved, and the identification cost is reduced; and the method can determine the genetic purity of seeds in the same year of seed production, is convenient for seed graduation and purchase, and improves the identification efficiency.

The invention discloses a method for quickly identifying low-frequency oscillation modal characteristics of a power system based on an LSTM neural network, and provides a method for quickly identifying the low-frequency oscillation modal characteristics of the power system. The method is accurate in analysis and reasonable in design, and comprises the following steps of: generating LFO sample dataaccording to an EDSs mathematical model; respectively adopting a Hankel matrix and a sliding window FFT algorithm to carry out preprocessing operation on the LFO sample data; determining a classification criterion according to identification requirements, and dividing and marking LFO sample data according to the classification criterion for subsequent network training and testing; building an LSTM neural network model, inputting a training sample for network training, and determining whether network training is completed or not through testing the classification accuracy of the sample; inputting an LFO signal to be detected is input into the LSTM neural network through sliding window sampling, and completing identification of LFO frequency and attenuation factor modal characteristics through output analysis. The method has the advantages of rapid identification of the low-frequency oscillation modal characteristics of the power system, high reliability of the identification result andthe like.

The invention discloses a method for identifying the resistance of tobacco to root rot caused by Fusarium tabacinum. The method comprises 1, culture of Fusarium tabacinum, 2, preparation of a Fusariumtabacinum liquid, 3, cultivation of tobacco seedlings, 4, pre-treatment on the tobacco seedlings, 5, inoculation with the Fusarium tabacinum, and 6, investigation to detect the resistance of the specie to the root rot caused by Fusarium tabacinum according to the disease conditions. The identification method can directly identify tobacco seedlings. Compared with the method for inoculation of a pot or a field with bacteria, the method is free of a complex process for pot culture after transplant, reduces work load, utilizes floating plate vaccination to inoculate with hundreds or thousands ofplants, enlarges the inoculation amount, greatly reduces identification time through direct inoculation in the seedling period, breaks the season limitation of the resistance of tobacco to root rot caused by Fusarium tabacinum and realizes identification in any seasons.