10results about How to "Improve selection accuracy" patented technology

The present application belongs to the field of aquatic genetic breeding, and relates to a SNP molecular marker related to the number of intermuscular bones of yellow river carp, primer groups and application in breeding yellow river carp with less intermuscular spines; the present application provides a group of SNP molecular markers significantly related to the number of intermuscular bones of yellow river carp, and the yellow river carp with less number of intermuscular spines can be quickly screened by using the group of SNP molecular markers. Based on the phenotype determination of the number of intermuscular bones of 917 yellow river carps and the whole genome resequencing data of 445 individuals, through GWAS analysis, the present application first identifies the SNP site on chromosome A24 which is significantly related to the number of intermuscular bones, and provides a reliable molecular marker for the breeding of low intermuscular bone strain of yellow river carp.

This application relates to a method, system, and computer device for selecting the number of pulses for blind vias. The method includes: obtaining the adaptive power of a test board; machining multiple first blind vias on the test board using the adaptive power and different pulse test counts; observing the hole quality characteristics of the multiple first blind vias; and selecting an appropriate number of pulses from the different pulse test counts. This method improves the accuracy of selecting the number of pulses for blind vias, thereby improving the machining quality of blind vias.

The invention provides a 2.5 K liquid phase chip for local chicken egg yield character breeding and application of the 2.5 K liquid phase chip, and belongs to the technical field of genome breeding. The 2.5 K liquid phase chip for local chicken egg yield character breeding comprises a probe combination, the probe combination is used for identifying the genotype of each SNP site in the SNP site combination; the SNP locus combination is composed of 2499 SNP loci which are shown in a table 1 and are positioned on a chicken reference genome GRCg6a. The 2.5 K liquid phase chip is mainly designed according to breeding selection of local chicken egg yield characters, has the advantages of high genotyping detection rate, flexibility in customization, high universality of different local chicken varieties and the like, can effectively reduce the cost of whole genome genotyping while ensuring the accuracy of genetic evaluation through a filling technology, and has a wide application prospect. And core technical support is provided for popularization and application of a local chicken genome breeding technology in small and medium-sized breeding enterprises and accelerated improvement of complex egg yield characters.

This invention discloses a SNP molecular marker of the AFF3 gene associated with broiler meat quality traits and its applications, belonging to the field of molecular biology. The nucleotide sequence of this SNP molecular marker is shown in SEQ ID NO.3, with an A / G mutation at base position 601, and genotypes including AA, AG, and GG. This invention also provides primer pairs for amplifying this molecular marker and a detection method. This SNP site is significantly correlated with leg muscle pH, breast muscle pH, breast muscle conductivity, and breast muscle shear force. Genotype detection can identify broiler meat quality traits, which can be applied to marker-assisted breeding to improve selection accuracy.

This application discloses an intelligent selection method for manufacturing process templates based on field matching and directed graph judgment, comprising: acquiring key attribute information of the task to be produced; traversing the process template library, comparing the types and quantities of input fields provided by the task with the predefined required fields of each template, and filtering out a set of candidate templates with matching fields; when the number of candidate templates is greater than one, acquiring a preset directed graph corresponding to each candidate template, wherein the directed graph contains judgment nodes and directed paths terminating at template nodes; solving for the output values ​​of each judgment node in the directed graph based on the key attribute information, and determining the template activation status based on the output values ​​of all judgment nodes on the directed path; and finally determining and outputting a unique process template from the set of candidate templates. This invention achieves automatic and accurate selection of process templates through a dual filtering mechanism of field matching and directed graph logical judgment, improving the efficiency of process preparation and the flexibility of rule configuration.

This utility model discloses a machine vision-based intelligent sorting and quality inspection device for jujubes, including an electric conveyor belt for feeding, with a machine vision-based sorting platform installed at one end of the conveyor belt. When the device is in operation, after the feeding mechanism feeds the jujubes into the inspection port, the pressure sensor inside senses the pressure value. This allows for both weighing the jujubes and triggering the inspection mechanism. Specifically, the servo motor inside the machine vision-based sorting platform starts, and with the encoder's angle control feedback function, it controls the drive turntable to rotate 90 degrees each time, sequentially passing the jujubes through a color CCD camera, a near-infrared camera, and a 3D structured light camera. This enables the detection of surface color and defects, analysis of internal sugar and moisture content, and acquisition of three-dimensional size and shape data, thereby improving the subsequent sorting accuracy.

This invention belongs to the field of biotechnology-assisted breeding and discloses a SNP marker for identifying resistance to bacterial soft rot in cucumber and its application. The SNP molecular marker of this invention is located at physical positions 13,925,944 bp on cucumber chromosome 2. Cucumber materials with a base of G at this site are resistant to bacterial soft rot, while cucumber materials with a base of A at this site are susceptible to bacterial soft rot. Using the SNP marker provided by this invention, the resistance of cucumber plants to bacterial soft rot can be rapidly and accurately identified during the seedling stage, enabling high-throughput screening of a large number of breeding materials. This method has advantages such as high detection efficiency and no limitation by environmental conditions, significantly improving the selection efficiency in disease-resistant breeding, shortening the breeding cycle, and providing an effective tool for marker-assisted selection breeding of cucumbers resistant to bacterial soft rot.

The application provides a drilling bit optimization method and device based on data analysis, and relates to the technical field of well drilling analysis. The method comprises the following steps: obtaining the use parameters of a drilling bit in a target stratum; calculating the average rate of penetration and the average footage of each drilling bit according to the rate of penetration and the footage in the use parameters; taking the average rate of penetration and the average footage as the horizontal coordinate and the vertical coordinate of a Cartesian coordinate system respectively, and marking the average rate of penetration and the average footage of each drilling bit in the coordinate system; selecting different reference indexes according to the well depth data of the target stratum, and partitioning the coordinate system; and selecting the drilling bit model in the coordinate system as the optimized drilling bit model according to the partitioning condition. The application has sufficient theoretical basis, is simple and easy to use, can greatly improve the scientificity and rationality of drilling bit selection in the drilling industry, has high drilling bit selection accuracy, can greatly improve the drilling efficiency, and reduces the drilling investment cost.

The invention discloses an alternative MRI (Magnetic Resonance Imaging) construction method based on three-dimensional head scanning and a related device, and the method comprises the steps: carrying out the preprocessing of an image of an MRI database, obtaining head MRI data, and constructing an MRI head three-dimensional model; acquiring three-dimensional head scanning data, and performing point cloud registration and shape similarity matching by using the three-dimensional head scanning data and the MRI head three-dimensional model; and selecting the MRI head three-dimensional model with the highest matching degree with the three-dimensional head scanning data as a substitution model according to the point cloud registration and shape similarity matching result. The method has the advantages of being convenient to operate, low in cost, low in requirement for subjects and the like, a set of automatic retrieval and substitution generation process from three-dimensional scanning to MRI is constructed, the method can be directly used for TI electrode layout, simulation and stimulation navigation, and therefore the application range of the TI technology in clinical and scientific research environments is remarkably widened.

The present application relates to the technical field of plant molecular breeding, and particularly relates to a Kasp marker PH-03-KASP-106 closely linked to corn plant height and application thereof, the marker comprises a single nucleotide polymorphism SNP site located at the position 163964821 of the 3rd chromosome of corn Chr3 and a KASP molecular marker primer set, PCR amplification of corn genomic DNA is carried out through the specific primer set, and the TT dwarf, CC high rod genotypes are distinguished according to fluorescence signal differences. The present application can be used for early identification, screening and molecular marker assisted breeding of corn plant height traits, can improve the efficiency of dwarf corn germplasm breeding, enhance the selection accuracy, clarify the breeding direction, and is simple in operation, high in cost-effectiveness, and suitable for corn breeding research and production practice of different scales.