115 results about "Phenotypic analysis" patented technology

The invention relates to the technical field of computer vision and soybean plant phenotype measurement, and discloses a soybean plant phenotype analysis method, system and device based on three-dimensional reconstruction, and the method comprises the following steps: setting a device for carrying out multi-view image collection on a soybean plant to collect multi-view soybean plant images; and an end-to-end soybean plant leaf phenotype measurement model taking Pointnet Transform as a trunk is constructed, and the model can directly predict key phenotype characteristics such as leaf area and leaf perimeter from high-precision leaf point cloud data. Discrete point cloud voxelization processing needs to be carried out before the model is constructed, and conditions are provided for semantic segmentation. According to the method, automatic acquisition of the soybean plant point cloud, automatic segmentation of the soybean plant point cloud and automatic measurement of the soybean plant leaf point cloud phenotype are realized, a data basis is provided for soybean plant phenotype analysis, and high-throughput and intelligent soybean plant phenotype analysis is realized.

The invention discloses a high-precision phenotype analysis system for plant growth stress response, and relates to the field of agriculture. Comprising a central analysis platform, and the central analysis platform comprises a calculation engine, a stress diagnosis model and a visual interface; the edge calculation stage comprises a data preprocessing module, a feature extraction module and a time sequence compression module; and the sensor array comprises a main control unit, a hyperspectral camera, a thermal infrared camera, a 3DDoF camera and an environment sensor group. Based on a space-time registration mechanism of transfer learning, errors are reduced, the problem of stomatal conductance modeling distortion caused by time difference is solved, a dynamic weight fusion model adjusts feature weights in real time through sensor confidence and environment fitness, illumination abrupt change and temperature and humidity fluctuation interference are eliminated, and the accuracy of stomatal conductance modeling is improved. Compared with a traditional fixed weight model, the stress identification precision is improved.

The invention discloses a sugarcane live-action three-dimensional phenotype extraction method based on a 3D Gaussian splashing technology. The method comprises the following steps of data acquisition, wherein a 360-degree omnibearing shooting mode is executed around a single sugarcane plant for shooting or video recording to obtain complete image or video data of the sugarcane plant; preprocessing the data; 3D model construction comprises the following sub-steps: SfM sparse reconstruction: instance segmentation; the method comprises the following steps: carrying out 3D Gaussian Splicing guided by a mask; point cloud data processing includes the following sub-steps: point cloud preprocessing including voxel downsampling, statistical filtering and radius filtering; segmenting and identifying stalks / leaves; the segmentation comprises RANSAC plane segmentation, DBSCAN clustering and region growth; the phenotype analysis comprises grid reconstruction and area / volume / perimeter / plant height calculation. According to the invention, the problems of difficult data acquisition, large workload and incomplete information acquisition in the prior art are solved.

This invention discloses a rice starch synthesis-related gene, OsFLO17, its encoded protein, and its applications. Through phenotypic analysis of the rice endosperm mealy mutant flo17 and preliminary localization of the target gene, the starch synthesis-related protein OsFLO17 was ultimately cloned. This protein consists of the amino acid sequence shown in SEQ ID NO.3. The starch granule development-related protein of this invention affects the rice endosperm starch synthesis process. Introducing the encoding gene of this protein into plants with abnormal starch granules can yield transgenic plants with normal starch filling. Therefore, the protein and its encoded gene of this invention can be applied to plant genetic improvement.

The invention relates to the field of biology, and provides a phenotype analysis method, electronic equipment and a storage medium, and the method comprises the steps: obtaining first information and a plurality of pieces of second information; obtaining a first vector of the first information according to a preset knowledge graph; obtaining a second vector of multiple pieces of second information according to a preset knowledge graph; based on the trained graph neural network, obtaining a first feature vector of the first information and second feature vectors of the multiple pieces of second information according to the first vector of the first information and the second vectors of the multiple pieces of second information; calculating the similarity between the plurality of pieces of second information and the first information according to the first feature vector of the first information and the second feature vectors of the plurality of pieces of second information; and determining target second information from the multiple pieces of second information according to the similarity between the multiple pieces of second information and the first information. According to the method, the searching efficiency among the symptom phenotype description information, the gene information and the disease information is improved.

The invention relates to the technical field of rice phenotype extraction, and discloses a rice fine phenotype extraction method based on three-dimensional vision, a terminal and a storage medium. The method comprises the following steps: acquiring a multi-view image of a rice plant by using a depth camera, and performing camera attitude estimation on the multi-view enhanced image to obtain camera internal and external parameters corresponding to each view; constructing a neural radiation field network, training the neural radiation field network by taking the enhanced image, the contour mask and internal and external parameters of the camera as input, and learning color and density distribution of a scene by utilizing a volume rendering technology; extracting surface points based on a mixed threshold strategy by using the trained neural radiation field network, and generating a rice three-dimensional point cloud; inputting the rice three-dimensional point cloud into a point cloud instance segmentation network, and outputting an instance mask containing each organ of the rice and a segmentation result of a three-dimensional bounding box; and counting phenotypic parameters of the rice according to a segmentation result. According to the method, the fine instance segmentation of the high-density point cloud is realized while the reconstruction precision is ensured, and the phenotypic analysis of the spike fraction is supported.

The invention discloses a method and a system for assisting in inputting clinical information of rare diseases and analyzing gene mutation based on phenotypes. The method comprises the following steps: firstly, acquiring clinical information in voice, text and image forms of a patient through a multi-source data acquisition module, converting the clinical information into characters, and performing entity recognition and standardization processing to generate structured medical record data; secondly, extracting clinical phenotypes from the structured data; furthermore, a candidate gene list is obtained according to the gene-disease relationship, comprehensive scoring and sorting are carried out, and a concerned gene list is output. According to the method, efficient structured input and standardization of clinical information are realized, the accuracy and automation level of phenotype-gene matching are remarkably improved, the gene variation interpretation period is effectively shortened, and intelligent support is provided for precise diagnosis of genetic diseases.

The invention relates to the technical field of plant genetic engineering, in particular to application of an algae NySAT2 gene in regulation and control of alfalfa crude protein and detergent fiber. According to the invention, a sequence after codon optimization of an NySAT2 gene coding region is obtained by using gene synthesis and codon optimization technologies, an algae NySAT2 gene overexpression vector is constructed, a target gene is introduced into an alfalfa genome by using an agrobacterium rhizogenes mediated genetic transformation method, and a transgenic plant is obtained by using a genetic transformation system. Molecular identification and phenotypic analysis show that on the premise of keeping normal growth vigor (plant height and biomass have no significant difference from those of a wild type), the crude protein content of a medicago sativa plant with the overexpressed NySAT2 gene is remarkably increased compared with that of the wild type medicago sativa plant, and meanwhile, the contents of acid detergent fibers and neutral detergent fibers are remarkably reduced, so that the content of the crude protein in the medicago sativa plant with the overexpressed NySAT2 gene is remarkably increased. The forage quality and the feeding value of the medicago sativa are effectively improved.

The invention discloses a method for assisting hawthorn breeding based on phenotypic omics, and relates to the technical field of phenotypic omics assisted hawthorn breeding. Comprising the following steps: S1, acquiring phenotypic data of normally growing hawthorns by using a high-throughput imaging system and a phenotypic analysis system, and detecting and analyzing various characters of the hawthorns; s2, establishing a hawthorn multi-dimensional phenotypic group database, and obtaining hawthorn breeding key character quantitative indexes; s3, constructing a phenotype-genotype correlation model according to the obtained hawthorn breeding key character quantitative indexes, and mining new functional genes to realize early prediction of breeding; and S4, creating a phenotype exponential weighting algorithm for parent matching. The method for assisting hawthorn breeding based on phenotypic omics is established, the problems of long hawthorn breeding period and high cost are solved, and the hawthorn breeding efficiency is effectively improved.

The invention discloses a rice photo-thermo-sensitive male sterility mutant Osgpat6.1, a corresponding gene locus OsGPAT6.1 of the rice photo-thermo-sensitive male sterility mutant Osgpat6.1 and application of a coding protein of the rice photo-thermo-sensitive male sterility mutant The phenotypic gene OsGPAT6.1 for controlling the photo-thermo-sensitive male sterility of the rice is obtained by cloning through phenotypic analysis of a mutant and preliminary positioning of a target gene, an amino acid sequence of the phenotypic gene OsGPAT6.1 is encoded as shown in SEQ ID NO.1 to form a protein, and the gene affects the development process of rice pollen by affecting tapetum degradation. The OsGPAT6.1 gene is subjected to gene editing, or a mutant allele of the OsGPAT6.1 gene is introduced into a conventional rice variety in a hybridization manner, so that a photo-thermo-sensitive male sterile material for a two-line sterile line can be obtained. The gene and the encoding protein thereof can be applied to creation of photo-thermo-sensitive sterile rice and germplasm genetic improvement of the photo-thermo-sensitive sterile rice.

The invention discloses an application of a PadPGR5a gene in fast-growing high-quality high-yield poplar breeding, belongs to the technical field of genetic engineering, and particularly relates to the application of the PadPGR5a gene in fast-growing high-quality high-yield poplar breeding, and the nucleotide sequence of the PadPGR5a gene is shown as SEQ ID NO.1. The invention further discloses an application of the PadPGR5a gene in fast-growing high-quality high-yield poplar breeding. Through phenotypic analysis, the plant height of the PadPGR5a gene overexpressed transgenic poplar is obviously increased, the net photosynthetic rate is obviously improved, and the oxidative stress resistance is obviously enhanced. It is shown that the PadPGR5a gene is an important forest fast-growing improved gene resource, and a new excellent transgenic variety can be provided for construction of a fast-growing high-quality high-yield poplar man-made forest by means of a genetic engineering technology.

The invention discloses application of a TaPP2CL-A gene in regulation and control of wheat tiller number, and belongs to the technical field of plant antiviral gene engineering. The invention discloses a novel gene TaPP2CL-A for regulating and controlling the tiller number of wheat. Wheat genetic transformation experiments and further phenotypic analysis find that compared with wild Fielder, the tiller number of a TaPP2CL-A overexpressed plant is reduced, and finally the yield of a single plant is reduced; the tiller number of a TaPP2CL-A silent plant is increased, so that the yield of a single plant is increased. The TaPP2CL-A gene provided by the invention can be used in the field of transgenic breeding, and can lay a theoretical foundation for wheat yield increase and character improvement.

This invention discloses a method and system for three-dimensional phenotypic analysis of potatoes based on computer vision. The method includes: first, constructing an acquisition system with multiple high-resolution RGB cameras in a triangular layout and a uniform light source, including a motion turntable; after distortion correction via checkerboard calibration, simultaneously acquiring multi-view images of potatoes; next, generating a dense depth map through sparse point cloud reconstruction combined with an improved multi-view stereo vision reconstruction mechanism including dynamic adaptive aggregation range and curvature-weighted matching cost calculation; registering and fusing to obtain three-dimensional point cloud data containing color and texture; then extracting basic parameters such as length, volume, and RGB features; and using an improved point cloud segmentation model including curvature-sensitive sampling, geometric attention modules, and a hybrid loss function to segment buds and extract parameters such as number and depth. This provides technical support for potato breeding and intelligent sorting.

The application discloses a kind of BRCA1 / 2 The application discloses a function verification method of genetic unknown meaning variation. By introducing only one target variation in each experiment, combined with optimized gRNA and template design, the method ensures that the target variation has high initial abundance in the edited cell population, thereby significantly reducing the background noise of second-generation sequencing detection and phenotype analysis, improving the sensitivity and reliability of variation function signal detection. The method provides a more flexible, accurate and easy-to-operate function verification scheme for BRCA1 / 2 The method provides a more flexible, accurate and easy-to-operate function verification scheme for interpretation of unknown meaning variation, and is expected to solve the bottleneck of difficulty in obtaining and interpreting function data of unknown meaning variation.

The invention relates to a corn ZmNF-YC3 gene and an SNP molecular marker and application thereof, and relates to the technical field of plant genetic engineering, the nucleotide sequence of the corn ZmNF-YC3 gene is as shown in SEQ ID NO.1, the amino acid of encoding protein is as shown in SEQ ID NO.2, and the corn ZmNF-YC3 gene can positively regulate the plant height and ear height of a corn plant. The corn ZmNF-YC3 gene has the advantages that by analyzing the expression profile of the corn ZmNF-YC3 gene, carrying out candidate gene correlation analysis on the plant height character of the corn ZmNF-YC3 gene and carrying out plant height and ear position height phenotype analysis on a ZmNF-YC3 gene knockout corn mutant material, the corn ZmNF-YC3 gene is proved to have a positive regulation effect on the plant height and ear position height character of corn; important gene resources and molecular markers are provided for creating novel dwarf density-tolerant maize germplasm by utilizing a molecular breeding means.

The invention provides methods for classifying fluorescent flow cytometry data. In some cases, the methods include processing the flow cytometry data with a supervised algorithm configured to cluster the fluorescent flow cytometry data into different populations based on the relationship of data points to associated thresholds. In embodiments, the methods include calculating and combining spill-over diffusion coefficients in a spill-over diffusion matrix to determine the extent of spill-over diffusion. In some embodiments, the fluorescent flow cytometry data populations are adjusted to reduce the extent of spill-over diffusion. In embodiments, the spill-over diffusion adjusted populations are partitioned after evaluating potential partitions relative to the thresholds. In embodiments, the partitioned fluorescent flow cytometry data populations are classified (i.e., phenotyped) according to a hierarchy. The invention also provides systems and computer readable media for classifying fluorescent flow cytometry data.

The utility model discloses a hyper-spectral imaging analysis system for a RhizoTronn root phenotype, which relates to the technical field of plant phenotype and spectral imaging and comprises an X-axis, an imaging unit and an imaging light source are arranged on the X-axis, and the X-axis is equipped with a plant culture module. The technical problem that an existing plant root system phenotype imaging observation device cannot conduct in-situ imaging analysis on the side face of an overground plant and an underground root system at the same time is solved. The function of performing in-situ reflected light hyperspectral and UV-MCF biological fluorescence hyperspectral imaging analysis on the overground plant side surface and the underground root system of the plant at the same time through one set of imaging unit is realized; a root phenotype analysis method is expanded to comprehensive analysis of physicochemical properties, biochemical components and physiological states of plants and root samples from two hyperspectral dimensions of reflected light and fluorescence, synchronous imaging and coupling analysis of canopy phenotypes and root phenotypes are realized, phenotype analysis cost is reduced, phenotype imaging analysis efficiency is improved, and the method is suitable for popularization and application. And the space is also saved.

The invention relates to a multi-technology fusion rapid breeding method based on exogenous frame-free wheat homozygous mutants, and belongs to the technical field of wheat genetic breeding. The method comprises the following steps: determining a target gene (such as an LCY gene), creating a homozygous mutant by utilizing a CRISPR-Cas9 gene editing technology, separating an exogenous Cas9 editing frame through hybridization and PCR detection, developing a KASP molecular marker to track a mutation type, and performing phenotype analysis. According to the method, gene editing, cross breeding and molecular detection technologies are fused, the problems that traditional breeding is long in period and foreign genes are difficult to remove are solved, rapid and accurate wheat germplasm creation is achieved, and an efficient way is provided for functional gene utilization.

The invention relates to the field of leaf sample preparation and analysis, in particular to a sample preparation and phenotype analysis method based on full-leaf expanding plant stomata. The method comprises the following steps: S1, leaf pretreatment: selecting complete wheat leaves, spraying an ethanol solution on the surfaces of the leaves, and repeatedly and gently smearing the leaves so that the leaves are fully soaked in the ethanol solution; s2, a rubbing base is prepared, specifically, a double-faced adhesive tape section is flatly attached to clean lining paper through the adhesive face on one side, the adhesive face on the other side is exposed, the exposed adhesive face is covered with a transparent adhesive tape section with the same length, and a composite base is obtained; s3, sectioning and flaking; s4, curing the imprint; s5, transferring and sample preparation; s6, scanning a slide; and S7, performing phenotype analysis. The method provided by the invention can preprocess the epidermis wax coat of the leaf to eliminate wax and pigment interference, realizes forward and reverse extension of the whole leaf, is simple and efficient in sample preparation, clear and uniform in print, stable and easy to distinguish the sample, can present a clear and complete leaf stomata image, and can efficiently perform stomata analysis and data acquisition in combination with a phenotype analysis algorithm.

This invention relates to methods and systems for isolation of species in semi-permeable capsules and processing of encapsulated species through series of steps and / or reactions. To produce capsules, first aqueous two-phase system (ATPS) droplets are generated using microfluidics system. Then the hydrogel shell layer is hardened by inducing polymerization. As exemplified in this invention to achieve concentric ATPS droplet formation density-matched PEGDA and Dextran polymer solutions can be used. Once a capsule is formed, its composition can be changed by adding new reagents or replacing out old ones (e.g. by resuspending capsules in desired aqueous solution). The hydrogel shell of semi-permeable capsules can be dissolved at selected step during multi-step procedures to release the encapsulated species. This invention exemplifies isolation of individual cells within capsules and using the encapsulated cells for genotypic and phenotypic analysis. This invention also exemplifies use of capsules in multi-step procedures to perform complex biological reactions.

This application discloses a multi-scale spatiotemporal fusion method and system for phenological identification based on remote sensing images. It utilizes a multi-scale spatiotemporal fusion deep learning framework, constructing continuous time series based on high-frequency acquired baseline resolution images as time anchors. This is then spatially enhanced by combining these with sparse high-resolution images. By introducing a missing-aware gating fusion mechanism, multi-resolution features on unaligned time axes are dynamically fused. The resulting fused feature sequence is then input into a long short-term memory network to achieve phenological stage identification of crop germplasm resources. This application can stably identify the jointing-booting stage, heading-flowering stage, milk stage, waxy ripening stage, and maturity stage under conditions of sparse high-resolution images and asynchronous sampling times, balancing identification accuracy and operational efficiency. It is suitable for large-scale germplasm resource phenotypic monitoring, critical period early warning, and precision breeding applications, providing a flexible, scalable, and cost-effective solution for high-throughput phenotypic analysis.

A phenotyping device, method and system for measuring phenotypic traits of one or more plants in a target canopy, wherein the comprises a canopy spreader for spreading the target canopy, a camera unit, a means for controlling the angle and the distance of the camera unit in relation to the canopy spreader, an electronic control unit for controlling the camera unit. The phenotyping device, method and system enables recording the raw data from the target canopy during a data collection session comprising information of the plants that are not visible to a camera unit without spreading the canopy.

The application discloses a kind of plant three index three-dimensional point cloud phenotype visualization method and system.Through to the pre-processing of synchronous acquisition hyperspectral, RGB image and line laser point cloud, the one-to-one correspondence between effective three-dimensional point, spectral pixel and RGB pixel is established;After ICP precision registration, the whole plant three-dimensional point cloud model is obtained;Point-level multi-modal sample is constructed and input into the trained inversion model, and the SPAD, LNC, RWC and prediction confidence corresponding to each three-dimensional point are output, written into PLY three-dimensional point cloud attribute, and the three-index content enhanced surface three-dimensional point cloud is constructed to generate three-dimensional thermal layer;And output three-dimensional thermal point cloud model, single leaf level statistical result, whole plant level statistical result and phenotype analysis report, realize the lossless spatialization phenotype expression of structure and physiological index.The application can intuitively express the spatial differences of chlorophyll, nitrogen and water in whole plant, single leaf and local area, and facilitate accurate phenotype analysis.

The invention discloses an SlFMO1 gene and application thereof in regulation and control of growth and development of tomato plants, and belongs to the technical field of gene engineering. According to the method, a CRISPR / Cas9 gene editing technology is utilized, firstly, a CRISPR / Cas9-gRNA vector is constructed to accurately edit an SlFMO1 gene in tomatoes, GV3101 agrobacterium tumefaciens is utilized to conduct mediated transformation on the tomatoes, and kanamycin serves as a resistance marker to conduct screening to obtain SlFMO1-deleted mutant tomatoes. Phenotype observation and analysis show that after the SlFMO1 gene is knocked out, the plant height and the plant width of a tomato plant are obviously increased, the apical development is enhanced, the stem diameter of the plant is increased, and the inflorescence spacing is increased, which indicates that the SlFMO1 gene negatively regulates the growth and development of the tomato, and meanwhile, the expression of related genes synthesized by auxin, gibberellin and brassinolide is obviously enhanced. The discovery has important theoretical significance and practical application value for follow-up cultivation of ideal tomato varieties.

A construction method for constructing a benign-malignant pulmonary nodule differential diagnosis model based on a single-cell immune atlas provided. In this method, PBMCs are obtained by utilizing peripheral blood samples, followed by CyTOF analysis to generate a CyTOF dataset. Using Phenotype Analysis and Representation Clustering (PARC) algorithm, cells are categorized into distinct phenotypes based on marker expression, and the frequencies of cell subsets are employed as potential modeling features that are finally selected by using the RF method with 10-fold cross-validation strategy, thereby enabling lung cancer screening and early diagnosis. This technology is characterized by its non-invasiveness, high sensitivity, and high specificity, improving the diagnostic accuracy of lung cancer screening and providing patients with earlier treatment opportunities and more suitable surgical approaches.

The invention discloses a construction method and application of a mouse model for testicular development disorder caused by Map3k1 gene mutation. The method comprises the following steps: designing and constructing sgRNA and a homologous recombinant vector capable of specifically recognizing a Map3k1 gene on the basis of a CRISPR / Cas9 system, injecting the sgRNA and the homologous recombinant vector into a mouse fertilized egg, screening out an F0-generation mouse with Map3k1 gene mutation from a mouse produced after the fertilized egg is transplanted, and hybridizing the F0-generation mouse with a wild type mouse to obtain a stably inherited Map3k1 gene mutation mouse model. The phenotype detection result of the mouse model shows that the fertility of the mouse model is remarkably reduced, and testis dysplasia conforms to the disease phenotype of testis dysplasia. The mouse model provides a convenient, reliable and economic means for researching the relationship between Map3k1 gene mutation and testicular dysplasia and the pathogenesis of the Map3k1 gene mutation and testicular dysplasia, and can be used for researching the pathogenesis of testicular dysplasia, a treatment method, drug screening and the like.

The application discloses a cotton GhSAC7 protein coding gene (Gh_D03G0020; LOC107937826), the coding sequence is 1791 nucleotides, and the protein sequence is 596 amino acids. GhSAC7 The protein expression level analysis and phenotype analysis are carried out on the gene editing material of the gene, and the results show that GhSAC7 The gene editing material of the gene has the phenotypes of slow fiber initiation, reduced fiber density and reduced total fiber amount. GhSAC7 The application can effectively regulate cotton fiber development, promote the initiation of cotton fiber, provide a theoretical basis for cotton variety improvement, and be used for cultivating new cotton varieties with excellent fiber quality.

The application discloses a corn plant height regulation gene combination and application thereof in creating multi-gradient plant height corn materials, and the gene combination comprises a gene ZmCPS1, a gene ZmbHLH156 and a gene ZmEMF1L1. The application uses a homozygous near-isogenic line carrying a single regulation plant height gene in a corn 9782 background BC4 as a basic material, and then uses two-by-two hybridization of different gene near-isogenic lines, combines KASP molecular marker assisted screening based on a functional gene, gene chip detection, conventional breeding technology and plant height phenotype analysis, and finally, 8 three-gene aggregation corn materials with gradient plant height are obtained. The application aggregates different genotypes of alleles, and has high practical application value in plant genetics and breeding work.

The application relates to the field of seed activity detection, and in particular to a seed activity prediction method based on comprehensive characteristics of internal components and external phenotypes, which comprises the following steps: arranging multiple cameras around seeds, taking pictures of the seeds through the multiple cameras, and obtaining seed images representing external phenotypes; performing external phenotype analysis on the seed images to obtain image analysis results containing external phenotype characteristics of the seeds; emitting a detection spectrum to the seeds through a light source system, and forming a transmission spectrum carrying component information of the seeds through the seeds; collecting the transmission spectrum by a spectrometer system; analyzing the transmission spectrum to obtain spectral analysis results containing seed components; comprehensively evaluating the image analysis results and the spectral analysis results to obtain quantitative results, and classifying the activity of the seeds according to a set target threshold value. The application combines the external phenotype and the internal molecular components of the seeds, comprehensively analyzes and judges the activity of the seeds, and improves the accuracy of the seed activity judgment.