58 results about "Morphological trait" patented technology

The invention discloses a bacillus strain capable of efficiently degrading DMP (dimethyl phthalate), a culture method and application thereof to remediation of soil PAEs (phthalic acid esters) pollution. A strain QD-9-10 which grows by mainly taking DMP as a carbon source is separated and identified from black soil covered with mulching films for a long term by adopting inorganic salt culture medium. According to morphological characteristic observation of a colony and 16SrDNA base sequence determination and homological analysis, the identification result of the bacterium is that QD-9-10 belongs to Bacillus subtilis. According to results of orthogonal experiments, the optimum culture method of the strain QD-9-10 is to perform culture by adopt inorganic salt culture medium under culture conditions that pH is 8.0, temperature is 35DEG C and shaking speed is 150rpm and DMP initial concentration is 100mg L<-1>, and biomass reaches the maximum at 32h. In addition, according to substrate utilization tests, the strain QD-9-10 can also utilize other common PAEs. Accordingly, the Bacillus subtilis QD-9-10 strain has a capability of degrading DMP and other common PAEs, and has a certain application prospect in aspects of degrading PAEs pollutants and remedying soil PAEs pollution.

Neural net method of computing oral cancer risk based on inputs such as age, gender, smoking status, morphological characteristics of sampled cells, and levels of biomarkers in samples cells.

The invention relates to a flotation dosing abnormity detection method based on NSST morphological characteristics and depth KELM. The method comprises the following steps: firstly, acquiring a bubble image on the surface of a flotation tank in real time, and decomposing the image NSST to obtain a low-frequency sub-band image and a multi-scale high-frequency sub-band; secondly, binarizing the low-frequency image to extract bubble bright spots, calculating the number, the area, the standard deviation and the ellipticity of the bright spots, and calculating the fractal dimension, the mean value and the variance of high-frequency sub-band coefficients of all scales to form multi-scale morphological characteristics of the bubble image; then, on the basis of the KELM algorithm, a deep KELM is constructed by referring to a deep learning idea, quantum calculation is introduced into optimization of a genetic algorithm and used for optimizing parameters of the deep KELM, and an adaptive deep KELM is constructed; and finally, establishing a flotation dosing abnormity detection model through the multi-scale morphological characteristics and the self-adaptive depth KELM. The average recognition rate and the operation efficiency are obviously higher than those of an existing detection method, the requirement for flotation production on-line detection is better met, and a foundation is laid for follow-up dosing automatic control.

The present invention relates to a method for calculating the body condition score BCS, the weight of an animal and its state of fertility by means of the mathematical processing of some characteristic morphological traits of the observed subject, which makes use of at least one contact or no-contact detection device of the profile 109 of the animal, at least a data processing unit and a program that implements a specific mathematical method of interpretation. By such a method, the determination of the body condition and its synthetic index or fattening index or Fl, is independent of species,race, gender, age and absolute size of the examined animal. This method is also robust to possible errors of positioning of the apparatus by an operator.

The invention discloses a DNA barcoding standard detection sequence for acrossocheilus beijiangensis, which is shown as SEQ ID NO;1, and a molecular identification method based on the standard detection sequence. Due to the application of the DNA barcoding standard detection sequence for acrossocheilus beijiangensis provided by the invention, the reliable DNA molecular identification technology for the incomplete individuals which can not be accurately identified and for the complete individuals in samples is realized, therefore, the technical defect that in the prior art, the incomplete individuals basically can not be identified, and the complete individuals need to be identified by the professionals who are very familiar to the morphological traits of acrossocheilus beijiangensis is overcome, and compared with the traditional morphological identification method, the DNA barcoding standard detection sequence provided by the invention can be used for rapidly and accurately identifying acrossocheilus beijiangensis.

The invention discloses a molecular specific marker primer for identifying Chinese sturgeon, and a method. In the molecular specific marker primer for identifying the Chinese sturgeon, the upstream primer XYF is shown in SEQ ID NO.1; and the downstream primer XYR is shown in SEQ ID NO.2. The molecular specific marker primer XYF/XYR performs rapid molecular identification on the Chinese sturgeon bythe conventional PCR method, the method is simple, detection is conducted by a PCR technology, the time is short, detection can be completed in half a day, and the molecular specific marker primer and the method are effective assistance for morphological character discrimination on the Chinese sturgeon.

The invention provides a method for studying growth of cephalopods through classification of beak pigmentation. The method comprises the following steps: grade classification is performed on beak pigmentation according to different positions and different degrees of beak pigmentation of Ommastrephidae and in combination of beak individual size and Ommastrephidae individual size; on the basis of the AIC (Akaike information criterion), relationships of pigmentation grades with biology and beak parameters are established, growth characteristics of the Ommastrephidae are studied, and growth stages of Ommastrephidae individuals are determined according to beak pigmentation grades. According to the method, morphological characteristics of cephalopod beaks are summarized, and laws of pigmentation in different periods and different positions are found out; the beak pigmentation grades of the cephalopods are classified rapidly and concisely; the relationships of the pigmentation grades with biology and the beak parameters are established for the first time, deep study are performed better on growth and ingestion conditions of the cephalopods, the pigmentation grades are in one-to-one correspondence with individual growth stages directly, and the growth stages of the individuals can be judged directly through the beak pigmentation grades.

The invention relates to a molecular specificity labeled primer for identifying a T. chinensis seedling and a method. An upstream primer NHSF of the molecular specificity labeled primer for identifying T. chinensis and two similar species including T. madia and T. cuspidata is represented as SEQ ID NO.1, and downstream NHSR is represented as SEQ ID NO.2; and by means of the molecular specificity labeled primer MHSF/MHSR, the T. chinensis and the two similar species of the T. chinensis can be rapidly subjected to molecular identification with a conventional PCR (polymerase chain reaction) method. The method is simple, the PCR technology is adopted for detection, time is short, and the detection can be finished by half day; and the molecular specificity labeled primer and the method provide effective assistance for identification of the T. chinensis and the two similar species of the T. chinensis according to morphological characteristics.

The invention discloses a method and device for constructing Cynodon dactylon core germplasms with morphological markers. The method comprises the following steps: using original germplasms of Cynodondactylon as test materials, detecting 11 morphological traits through morphological marking, and selecting the best strategy to construct Cynodon dactylon core germplasms from 5 levels, including 7 kinds of total sampling proportion, 3 kinds of sampling methods, 5 kinds of clustering methods, 3 kinds of genetic distance, and 3 kinds of in-group sampling proportion. According to the embodiments ofthe invention, the constructed Cynodon dactylon core germplasms can effectively retain the phenotype genetic diversity, phenotypic trait correlation and population phenotype structure of the originalgermplasms and can be used as representative samples of a whole resource.

The invention discloses a molecular specific primer and a method for identifying catfish. The molecular specific primer for identifying catfish has a forward primer NYF shown as SEQ ID NO: 1, and a reverse primer NYR shown as SEQ ID NO: 2. By utilizing the molecular specific labeled primer NYF/NYR, catfish can be subjected to rapid molecular identification by a conventional PCR method. The methodis simple, is capable of finishing detection with PCR technology and is an effective assistance for identifying catfish through morphological characteristics.

The present invention discloses standard Lentinus edodes seed detecting method, which includes 5 tested aspects including morphological characteristic, agronomic character, physiological character, quality character and molecular fingerprint of special DNA segment, and 36 test indexes, including 34 essential ones and 2 optional ones. Of the 34 essential indexes, there are 10 hypha character indexes and 24 cultivating character indexes.

The invention discloses a modified graphene-brass composite material. The modified graphene-brass composite material is characterized by being prepared from the following materials: 5-15% of grapheneand 1-5% of humic acid, with the balance being brass. The modified graphene-brass composite material of the invention adopts graphene and humic acid as complementary additives and utilizes the uniquemorphological and structural characteristic of humic acid, and through mutual fitting between humic acid and graphene, the dispersibility of graphene is promoted without destroying the surface morphological structure of graphene; at the same time, humic acid has structural and morphological traits similar to the structural and morphological traits of graphene, so humic acid can be auxiliarily usedas a reinforcing phase for reinforcing the performance of the composite material.

The invention relates to a method for drawing morphology of fish eggs and larvae. The method performs developmental stage determination and preliminary species identification on the fish eggs and larvae based on a biological anatomical lens. The morphological characteristics of the fish eggs and larvae are subjected to shooting processing by a high-resolution microscopy, then pictures of various parts of the fish eggs and larvae are taken and Photoshop software is used for picture overlay processing, and finally the pictures with all the clear morphological characteristics of the fish eggs andlarvae are exported; and then the photographed fish eggs and larvae are subjected to molecular biological treatment to determine the species, then the pictures are matched with the species, the pictures are copied and processed on vegetable parchment by printing the pictures and placed into a scanner for scan processing, and finally the morphological characteristics and morphological developmentpatterns of the fish eggs and larvae are obtained. The method overcomes the deficiency that the morphological characteristics of the fish eggs and larvae need to be drawn by experts engaged in drawingand the related fields of fish features in the past, and has the advantages of being fast, accurate and efficient.

The invention discloses a deoxyribonucleic acid (DNA) sequence of a narrow-headed vole. The invention aims to provide a method for quickly identifying the narrow-headed vole, wherein the rat species are identified by a morphological characteristic identification method, and COI gene sequences are obtained. The invention also provides a DNA standard gene, a primer and a kit for detecting the narrow-headed vole. The narrow-headed vole is identified by adopting the traditional morphological identification combined with a molecular classification method, so that the accuracy and the reliability of species identification can be ensured.

The invention discloses an antarctic subglacial water detection method based on morphological characteristics of base signals. The method comprises the following steps: 1, preparing radio echo sounding data; 2, constructing a standard for describing the horizontal morphological characteristics of the substrate signal: 2.1, acquiring elevation data of an ice bed, 2.2, obtaining three indexes capable of describing horizontal morphological characteristics; and 2.3, constructing a standard, specifically, in order to highlight the position with strong elevation horizontal morphological characteristics of the ice bed, defining the standard for describing the elevation horizontal morphological characteristics of the ice bed in the specification; 3, constructing a standard for describing the vertical morphological characteristics of the substrate signal: 3.1, acquiring base signal data, 3.2, obtaining five indexes capable of describing vertical morphological characteristics: (1) responsivity, (2) degree of symmetry, (3) thin height, (4) thinness, and (5) the deviation degree of the substrate interface, and 3.3, constructing a standard; and 4, obtaining the possibility that the substrate has water under ice: 4.1, conducting preliminary possibility judgment, and 4.2, conducting final possibility judgment and classified display.

The invention provides a reproduction updating method for soybean heredity integrity analysis. The reproduction updating method includes: performing artificial aging treatment on parent seeds, selecting parent treatments at different germination rate gradients, raising the treated seeds, and transplanting the seedlings to a field; harvesting single plants; and performing seedling raising, transplanting, morphological trait investigation, and single plant harvesting on each descendant treatment according to the step of parent treatments. One of keys of the reproduction updating method is the fact that descendant single plants are corresponding to the parent single plants thereof in a one-to-one manner, i.e., the number of each single plant of each descendant treatment is corresponding to that of each parent single plant in a one-to-one manner; morphological marker analysis and SSR molecular marker analysis is performed during reproduction and updating of a parent generation and a descendant generation so as to detect the soybean heredity integrity. The reproduction updating method is complete and feasible, is normative in system, can reproduce and update stored high-viability soybean so as to maintain the heredity integrity of the soybean.

The invention discloses an engraving specimen and manufacturing method thereof. The engraving specimen includes a substrate made of transparent material, and a morphological characteristic enlarged drawing of the specimen is engraved on the substrate. The engraving specimen provided by the invention can be directly observed without using expensive equipment such as a high-power microscope; an organic material is beautiful and transparent, thereby facilitating viewing and appreciating; organic glass or resin is convenient for long-time storage, does not need a special storage environment and is not easy to damage; important morphological identification characteristics can be drawn according to identification requirements; and the engraving specimen is convenient to prepare and low in cost. The engraving specimen is low in preparation and identification cost and high in usage rate, is convenient for storage, the specimen preparation and storage are simplified, and the usage quality and efficiency of plant pathogenic nematode and pathogenic fungus specimens in scientific research and teaching, biological science popularization, exemplary education and quarantine identification are improved.

The invention discloses a tobacco seed-stage morphological classification characterization method based on sample consensus. The method is characterized by comprising the following steps: (1), selecting 100 tobacco plants, consecutively numbering and hanging plates, selecting morphological classification characterization samples at different seed stages from the plate-hung tobacco plants; (2), combining with the conventional classification of the tobacco seed stage, roughly characterizing; (3), quantitative classification characterization: performing the quantitative classification characterization according to different ratios of buds, flowers and fruits of the tobacco plants, classifying the tobacco seed-stage into 6 phases; and (4), sampling the tobacco plant samples at different phases from the tobacco plants within the quantitative classification range suitable for the phases, so as to meet the requirements of sample consensus. Compared with the existing classification method, the method adopts different ratios of visual buds, flowers and fruits, quantizes the objective morphological characterization of the tobacco seed stage, can accurately classify in standard, be easily operated, and beneficial to collect uniform tobacco seed-stage samples, so as to better analyze and determine the biological information of the samples, and more accurately reflect the actual information of the samples.

The invention provides a detection and identification method for an acanthocephalan worm of neoechinorhynchus. The method comprises the following steps that according to morphological characteristics,the acanthocephalan worm of neoechinorhynchus in a fish host is collected; DNA of a worm body sample is extracted; agarose gel electrophoresis is carried out to detect the quality of the extracted DNA, if the quality is qualified, a reaction system is established, and PCR amplification is carried out; and a sequencing result is subjected to sequence alignment, and if the consistency is 99 % or above, it is judged that the species is the acanthocephalan worm of neoechinorhynchus. The identification method has the advantage that the experimental results are accurate and reliable.

Provided is a method for detecting a state of a door or window, comprising: receiving acceleration data of the door or window, the acceleration data being acquired in a direction perpendicular to a plane of the door or window; judging whether the acceleration data represents a first specific morphological feature or not, wherein the first specific morphological feature at least comprises a predetermined shape feature of a waveform of the acceleration data and a predetermined relation feature related to the acceleration data; and determining a state of the door or window based on a determination result for the acceleration data. By judging the morphological characteristics of the acceleration data, the state of the door or the window can be determined more accurately.