2383 results about "Genetic stock" patented technology

The invention discloses a crop growth analysis system based on machine vision, and relates to the technical field of agricultural intelligent monitoring and analysis, the system comprises a multi-source acquisition module, a disturbance identification module, a growth behavior modeling module, an environmental adaptability correction module and a feedback prediction module; wherein the multi-source acquisition module can synchronously acquire visible light, near-infrared and depth images, and generates a joint index in combination with environmental data; the disturbance identification module identifies abnormal areas such as wind disturbance and shielding based on the residual image and the image structure network; the growth behavior modeling module is used for extracting internode change, leaf surface tension and bifurcation angle characteristics by using a three-dimensional structure time sequence alignment and hidden change rate coding network; the environment adaptability correction module constructs a crop-environment double-domain mapping relation; the feedback prediction module outputs personalized intervention suggestions in combination with deviation analysis and crop variety embedding vectors; the system has the advantages of high modeling precision, strong adaptability, fast feedback response and the like, and is suitable for intelligent planting management of various crops.

The invention discloses an intelligent temperature and humidity regulation and control fungus cultivation method for edible fungus sticks, and relates to the technical field of agricultural Internet of Things. The problems that in the prior art, multi-variety / multi-stage adaptability is poor, sudden environment response lags behind, and equipment cooperation efficiency is low are solved. Cross-variety control strategy migration is realized through a multi-strain dynamic migration matrix and a migration learning algorithm, and a three-dimensional microenvironment map is generated in combination with a multi-source sensor network and Kriging interpolation; identifying a strain growth stage by using a time sequence convolutional network, loading a corresponding parameter set, and dynamically generating an anti-interference instruction and a power distribution sequence based on a double-delay depth deterministic strategy gradient algorithm and model predictive control; scheduling a conflict-free instruction queue by adopting a heterogeneous equipment collaborative framework, and updating model parameters through federated learning and a Shapley value evaluation closed loop; according to the invention, the intelligence, self-adaptability and precision of edible mushroom growth environment regulation and control are greatly improved, and the robustness of the system to environment mutation is enhanced.

The invention discloses an intelligent breeding method for commercial crops based on big data analysis, and relates to the technical field of agricultural breeding, the method comprises the following specific steps: seed multi-modal data acquisition and processing: acquiring physical characteristic data of seeds, acquiring physiological indexes and genome information data through biochemical experiments and gene sequencing, and determining the seed multi-modal data according to the physiological indexes and the genome information data; carrying out pretreatment on the raw materials; according to the method, after multi-modal data are integrated and preprocessed, a seed vigor accurate evaluation model is constructed by using deep learning and data fusion technologies, the seed vigor level can be measured more accurately, and meanwhile, the electric signal change of the early growth stage of crops is monitored in real time by using high-precision plant electric signal acquisition equipment, so that the accuracy of the seed vigor evaluation is improved. And a correlation model of the electric signal characteristics and multiple traits of crops is established, and fusion analysis is performed on seed vigor evaluation data and plant electric signal data, so that the breeding efficiency is greatly improved, and powerful support is provided for cultivation of high-quality varieties.

The invention discloses a greenhouse planting environment intelligent management and control method and system based on a crop model, and the method comprises the steps: obtaining the suitable range of a target crop variety for environment parameters in each growth stage, carrying out the preprocessing of an initial parameter, and obtaining the preprocessed environment parameter data; establishing a nonlinear mapping relation between the environmental parameters and crop growth states through a support vector machine regression method, and constructing a crop growth model; constructing a multi-objective optimization model based on the crop growth model, and obtaining environment parameter set values; transmitting the environment parameter set value to a greenhouse environment regulation and control system, regulating environment parameters in the greenhouse, feeding back growth state data to the crop growth model, and performing online updating and optimization to obtain an optimized crop growth model; and according to the optimized crop growth model, predicting the growth trend and the yield condition of the crop. According to the invention, dynamic optimization of facility crop growth and precise regulation and control of greenhouse water-soil-gas planting environments and the like are realized.

An intelligent fertilization and water supply method and system. The method comprises the following steps: step a, comprehensive soil monitoring, involving: comprehensively monitoring various soil indexes by means of a plurality of sensors, so as to obtain real-time data of the soil indexes; b, consideration of crop-specific requirements, involving: for the varieties and growth stages of different crops, thoroughly studying the unique moisture and nutrient requirements of the crops, so as to ensure the rationality and accuracy of a fertilization amount; c, comprehensive consideration of environmental factors, involving: collecting data of surrounding environmental factors; d, utilization of an intelligent irrigation mode, involving: by using a cyclic irrigation mode, an intermittent irrigation mode, etc., in combination with the water requirement pattern of each crop and a change in soil moisture, realizing efficient water utilization; e, implementation of a dynamic fertilization plan, involving: on the basis of a change in a crop growth condition and in soil fertility, dynamically adjusting fertilization time, frequency and dosage, so as to ensure that the nutrient supply matches the requirements of each crop; and f, implementation of a precise fertilization technique, involving: precisely delivering fertilizer to an absorption part of each crop, so as to improve the efficiency of nutrient utilization.

The invention discloses a cowpea 5K SNP (Single Nucleotide Polymorphism) liquid chip and application thereof in variety identification, and belongs to the technical field of biology. The liquid chip provided by the invention comprises a set of nucleotide probes for detecting 5847 SNP sites of cowpea, and can be widely applied to different scenes of germplasm resource identification, genetic diversity evaluation, variety identification, genetic relationship identification, purification and rejuvenation of local varieties and the like of different cowpea varieties; an effective scientific basis is provided for cowpea variety identification, the variety identification and evaluation efficiency is improved, and the method has a remarkable application value.

The invention discloses application of a wheat WRKY transcription factor gene TaWRKY1, and belongs to the technical field of gene engineering. A nucleotide sequence of an open reading frame of the gene TaWRKY1 is shown as SEQ ID NO: 1, and the gene TaWRKY1 is infected by stripe rust to induce expression in interaction of wheat and stripe rust, and plays a negative regulation role in wheat stripe rust resistance. A TaWRKY1 gene editing mutant plant is created by using an agrobacterium tumefaciens-mediated genetic transformation method, the sporulation quantity on wheat leaves of the gene editing mutant is obviously reduced, and the allergic necrosis is increased, which indicates that the edited gene TaWRKY1 can improve the resistance of wheat to stripe rust. The invention provides a disease-resistant germplasm resource for the cultivation of the stripe rust-resistant wheat variety.

The invention discloses a high-yield cold-resistant pennisetum germplasm screening method and application thereof, and the method is based on 10 yield traits, 4 cold-resistant indexes and 4 low-temperature photosynthetic ability indexes of pennisetum, constructs a multi-dimensional dynamic monitoring system across autumn, winter and spring, and performs high-yield cold-resistant comprehensive evaluation on the pennisetum germplasm, thereby screening out a high-yield cold-resistant breeding material. The invention provides a comprehensive, efficient and accurate high-yield cold-resistant Chinese pennisetum germplasm screening method, through a multi-dimensional dynamic monitoring system crossing autumn, winter and spring, yield traits, cold resistance indexes and low-temperature photosynthetic ability indexes are integrated, and the problems that a traditional method is single in evaluation dimension, disjointed with field reality and insufficient in dynamic adaptability are solved. The comprehensive evaluation system based on the principal component quantitative model not only fills the blank of the high-yield and cold-resistant evaluation model of the pennisetum alopecuroides, but also remarkably improves the breeding efficiency, provides powerful support for cultivating cold-resistant and yield-reduction-free breakthrough varieties, and has important application value and popularization prospect.

The invention relates to the technical field of molecular marker development and molecular marker assisted breeding, and particularly discloses a KASP molecular marker closely linked with a wheat drought resistance related gene TaRPL36-8, a primer and application, the nucleotide sequence of the KASP molecular marker is shown as SEQ ID NO.1, and T / C polymorphism exists at the 201bp position of the sequence. By detecting the KASP molecular marker, the drought-resistant variety of wheat is identified, and technical support is provided for wheat breeding.

The invention relates to the technical field of molecular markers, in particular to KASP primers of 112 carya illinoensis varieties, an SNP molecular marker, a fingerprint spectrum and application of the KASP primers and the SNP molecular marker. By adopting the technical scheme provided by the invention, the carya illinoensis fingerprint spectrum can be drawn, is used for accurate identification of carya illinoensis varieties, and has important significance on germplasm resource identification and molecular marker breeding of carya illinoensis.

According to the disclosure, there is provided seed and plants of the hybrid com variety designated CH010478. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CH010478, and to methods for producing a corn plant produced by crossing a corn plant of variety CH010478 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to genetic complements of plants of variety CH010478.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker combination for constructing an oat DNA (Deoxyribose Nucleic Acid) fingerprint spectrum and application, the SNP molecular marker combination is developed and obtained based on an SLAFseq technology, and has the characteristics of uniformly covering an oat genome, being high in polymorphic information content and being suitable for typing. Compared with other traditional molecular marker technologies, the SNP marker provided by the invention has higher stability, is not easily influenced by experimental conditions and environmental factors, and can be widely applied to oat germplasm resource identification, genetic diversity analysis, DNA fingerprint construction and molecular marker-assisted breeding. The DNA fingerprint spectrum constructed on the basis of the SNP molecular marker can more comprehensively reflect genetic information of a biological individual or population, and is of great significance to research of genetic diversity, evolutionary relationship and the like of species. Therefore, the method can provide technical reference for popularization of oat varieties, property right confirmation and protection, purity identification of oat seed production and the like.

The invention belongs to the technical field of agriculture, and discloses a method for identifying and selecting drought-resistant and salt-tolerant wheat varieties in a growth period, which is used for identifying and selecting the drought-resistant and salt-tolerant wheat varieties in the growth period of different wheat varieties under the stress of salt with soil salt content of 0.3% and 0.6% as a correlation analysis result of membership function values and comprehensive evaluation values of all indexes in the whole growth period of the wheat. The above-ground biomass in the heading stage and the filling stage is preliminarily determined as a key stage for evaluating the drought resistance, and can be used as an identification index for screening salt-tolerant varieties. The salt tolerance comprehensive index established through the indexes can be used for clustering test varieties, a direct and simple basis is provided for variety salt tolerance identification and grading, and the salt tolerance of wheat varieties (lines) can be well evaluated by utilizing a whole-growth-period comprehensive model.

The invention belongs to the technical field of agricultural information, and discloses a rape variety environmental adaptability evaluation system based on machine learning. The system is composed of a data acquisition standardization unit, a regional environment feature modeling unit, a variety phenotype and pedigree association unit, a feature screening and model training unit, a regional adaptability scoring and decision-making unit, a dynamic learning and evolution updating unit and an evaluation visualization and variety recommendation unit. By performing standardization processing on multi-source data, format and dimension differences are eliminated, and a high-quality data foundation is laid for subsequent analysis. Fusing environment and variety bilateral characteristics, and enabling the model to capture environment influence and variety heredity characteristics at the same time. Advanced methods such as ensemble learning and a time sequence neural network are adopted, and the complex relation is accurately mined. Compared with a traditional field test and the prior art, errors are greatly reduced, the adaptation degree of the variety in different areas is more accurately judged, a scientific basis is provided for planting recommendation, and the yield and quality of the oilseed rape are improved.

The invention relates to a same-variety grafting method for Tibetan pinus bungeana, and belongs to the technical field of forest vegetative propagation. In order to solve the technical problems that in the high-altitude environment, the grafting survival rate of the white bark pine is low, a connector is prone to being infected by microorganisms, and callus is formed slowly, efficient grafting is achieved through collaborative optimization of scion pretreatment and stock incision treatment. The method comprises the steps that a one-year-old branch with the diameter being 4-6 mm is selected and subjected to temperature and humidity control and composite antibacterial liquid dipping treatment; a sterile healing interface is formed in cooperation with rootstock incision slope cutting and four times of composite antibacterial liquid brushing; a one-year-old branch is cut, at least two or more bud points exist on the branch, two plump bud points are reserved, the branch is cut open from the position between the two plump bud points, and the scion is obtained. According to the method, the grafting survival rate and the interface stress resistance of the pinus bungeana in the alpine region are remarkably improved, the method is suitable for rapid breeding and hereditary characteristic retention of excellent germplasm of the pinus bungeana in Tibet plateau ecological restoration engineering, and more scion resources of the pinus bungeana can be utilized and protected.

The invention relates to the technical field of crop genetic breeding and plant molecular design breeding, in particular to a pakchoi whole genome liquid phase chip and application. The pakchoi breeding gene chip disclosed by the invention comprises a target capture probe which is designed by taking 1000 core SNP (Single Nucleotide Polymorphism) molecular markers positioned on 40KSNP sites on a pakchoi reference genome version V4.0 as templates. The pakchoi whole genome liquid phase chip provided by the invention comprises a 40K site targeted capture probe mixed solution and a hybridization capture reagent. The pakchoi 40KSNP targeted capture probe can rapidly and effectively track genetic materials of pakchoi, and is suitable for different application scenes such as accurate identification of pakchoi germplasm resources, genetic relationship analysis between materials, variety authenticity identification, QTL gene positioning and mining, molecular marker-assisted breeding, variety improvement and whole genome selective breeding application. Therefore, the method has good application prospect and important social value.

According to the disclosure, there is provided seed and plants of the hybrid corn variety designated CH010442. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CH010442, and to methods for producing a corn plant produced by crossing a corn plant of variety CH010442 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to genetic complements of plants of variety CH010442.

The invention belongs to the technical field of genetic engineering, and discloses a phytosusceptibility-related TaCNGC13 gene, a protein and application of the phytosusceptibility-related TaCNGC13 gene and the protein. The phytosusceptible related TaCNGC13 gene is derived from a wheat variety water source 11, the nucleotide sequence of the gene is shown as SEQ ID NO: 1, and the amino acid sequence of the gene encoding protein is shown as SEQ ID NO: 2. The plant-susceptibility-related TaCNGC13 gene is induced to express by the puccinia striiformis, the expression of the plant-susceptibility-related TaCNGC13 gene in wheat is stably silenced, and the resistance of the obtained transgenic wheat to a plurality of physiological races of the puccinia striiformis is higher than that of wild wheat. The invention provides a novel germplasm material for green control of wheat stripe rust and cultivation of wheat stripe rust resistant varieties.

The present invention provides a comprehensive evaluation method for quality traits of breeding plants, which relates to the technical field of quality trait evaluation, including: obtaining plant growth information of target breeding plants, including a multi-dimensional growth parameter set of multiple growth cycles; performing feature classification and labeling to obtain plant growth feature parameters; constructing a quality trait comprehensive evaluation model library; matching and calling a target comprehensive evaluation model; performing real-time monitoring of the physiological state of target breeding plants to obtain real-time monitoring data of the physiological state; performing comprehensive evaluation to obtain a comprehensive evaluation result of the quality traits of target breeding plants. The present invention solves the technical problems that traditional evaluation methods usually focus on a single growth characteristic of plants, ignore the complex relationship between different plant traits, and that existing evaluation models are difficult to cover plants of different varieties, resulting in poor comprehensiveness and universality of the evaluation.

The invention discloses a silver carp 20K liquid phase chip and application thereof, the liquid phase chip comprises a probe combination of 20,909 SNP molecular markers covering a whole genome, the physical positions of the 20,909 SNP molecular markers are determined based on sequence alignment of the silver carp genome (GCA041475455.1), and the site information of the 20,909 SNP molecular markers is shown in the specification table 1. The invention provides a silver carp first type whole genome SNP liquid phase breeding chip, which effectively reduces the application cost of silver carp in genetic diversity analysis, QTL positioning, GWAS analysis and the like in scientific research, solves the problem that no applicable product exists in silver carp molecular auxiliary breeding and whole genome selective breeding, accelerates the progress of silver carp basic research and breeding, and has a wide application prospect. The method is of great significance in improving the utilization efficiency of silver carp germplasm resources, accelerating the breeding process of excellent characters and improving the economic value and environmental adaptability of bred varieties.

According to the disclosure, there is provided seed and plants of the hybrid com variety designated CH010517. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CH010517, and to methods for producing a corn plant produced by crossing a corn plant of variety CH010517 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to genetic complements of plants of variety CH010517.

The invention discloses an acer elegans cross breeding method based on flowering phase difference regulation and control, and belongs to the technical field of garden plant breeding. The method comprises the following steps: selecting an acer elegans variety of which the natural early flowering phase difference is greater than or equal to 10 days and the genetic distance is greater than or equal to 0.5 as a cross parent, carrying out low-temperature refrigeration and shading blue light supplementing treatment on a female parent to delay the flowering phase, and carrying out prolonged illumination, red light supplementing and hormone and nutrient solution spraying on a male parent to advance the flowering phase; male parent pollen is collected through a vacuum negative pressure adsorption device and stored in a closed container, a sucrose solution is sprayed to female parent stigmas before pollination, and repeated pollination is conducted through a directional nozzle at 9-11 o'clock every day; carrying out stratification treatment and temperature-difference temperature-control germination on the hybrid seeds, and carrying out light-temperature regulation and control seedling culture after sowing; the molecular marker is used for verifying the hybridization authenticity and target traits, phenotype determination is carried out on three-year-old seedlings to complete breeding, the hybridization obstacle caused by asynchronous flowering phases of the caenorhabditis elegans varieties is solved through the flowering phase regulation and control technology, and the hybridization success rate is increased.

The invention belongs to the technical field of crop genetic breeding, and relates to a linked molecular marker of a peanut hypocotyl elongation related gene locus, an identification method and application of the linked molecular marker. The primer pair is C2-15-F / R, and the sequence of the primer pair is as shown in SEQ ID NO. 1 and SEQ ID NO. 2; by designing an InDel marker C2-15, the peanut hypocotyl length character can be quickly distinguished by using a primer to amplify a target band and using polyacrylamide gel electrophoresis detection. The identification method is more accurate and convenient, has good repeatability, can efficiently distinguish the phenotype and genotype of an individual, shortens the experiment process, has the advantages of simple and feasible operation steps and the like, and saves expenditure. The method disclosed by the invention has important application value in the breeding work aspects such as peanut hypocotyl elongation character related gene positioning, genotype typing and later cultivation of excellent peanut varieties.

The invention relates to the technical field of intelligent agricultural information processing, and provides a crop variety suitable planting area recommendation method and device based on deep reinforcement learning, and the method comprises the steps: obtaining crop variety features, environment data of candidate planting areas, and a pre-trained crop variety suitable planting area recommendation model; the recommendation model is trained through the following mode: training a pre-constructed intelligent agent based on variety planting data in different environments and environment data of planting sites and non-planting sites, and obtaining a trained deep reinforcement learning model. And adjusting the trained deep reinforcement learning model based on the variety promotion condition data to obtain a crop variety suitable planting area recommendation model. The recommendation model can accurately match the crop variety and the planting environment according to the input crop variety characteristics and the environment data of the candidate planting area, and accurate recommendation of the crop variety suitable planting area is realized.

The invention belongs to the technical field of aquatic animal molecular markers and aquatic genetic breeding, and particularly relates to an SNP (Single Nucleotide Polymorphism) molecular marker remarkably related to growth traits of grass carp and application of the SNP molecular marker. The SNP molecular marker is located at the position of 23608308bp of the eleventh chromosome (SLG1123608308) of the grass carp, and is Tgt; and A basic group mutation. Experiments show that the SNP molecular marker developed by the invention has significant influence on four growth traits (Plt; 0.05), and the allele A has more excellent growth traits. The invention discloses application of an SNP (Single Nucleotide Polymorphism) molecular marker, an amplification primer or a kit in breeding grass carp with excellent growth traits. The SNP molecular marker provided by the invention is not limited by the age, sex and the like of the grass carp, can be used for breeding grass carp varieties with excellent growth traits, and even can be accurately screened after being hatched, so that the breeding process of the grass carp varieties with excellent growth traits is greatly accelerated.

The invention belongs to the technical field of biology, and particularly relates to a pleurotus citrinopileatus strain and application, the pleurotus citrinopileatus strain is JAUP10L and preserved in the China Center for Type Culture Collection on April 19, 2024, the preservation number is CCTCC NO: M2024720, and the pleurotus citrinopileatus strain is classified and named as Pleurotus citrinopileatus. The Pleurotus citrinopileatus strain JAUP10L has a pileus polymerization state which is obviously different from a variety in production, has the potential of being developed into a new variety, and enriches the variety of Pleurotus citrinopileatus.

The invention provides application of a Zm00001eb378820 gene in molecular marker-assisted breeding for regulating and controlling the hundred-grain weight of corn grains, and relates to the technical field of agricultural biology. A backbone maize inbred line Ye107 is used as a male parent and hybridized with three excellent inbred lines (D39, R-2-1-1 and YML1218), a multi-parent group with remarkable hundred-grain weight difference is constructed, and SNP27712538 positioned on a chromosome 9 is a remarkable associated site by measuring hundred-grain weight phenotype data in multiple environments and combining high-density SNP (Single Nucleotide Polymorphism) markers, GWAS analysis and QTL (Quantitative Trait Loci) positioning. And the functional gene Zm00001eb378820 which is closely related to the regulation and control of the corn hundred-grain weight is excavated. A new insight is provided for a genetic regulation mechanism of the corn hundred-grain weight, and a key target spot is provided for breeding of high-yield corn varieties, so that the breeding efficiency is remarkably improved.

The invention discloses a litopenaeus vannamei Lvrpp14 gene hypoxia resistance character related SNP molecular marker and application thereof, the SNP molecular marker is located at the 543rd site from the 5'end of a nucleotide sequence shown as SEQ ID NO: 1 of the Lvrpp14 gene, and the basic group of the SNP molecular marker is G or A. The invention further provides a primer and a kit for amplifying the molecular marker, a method for detecting the low-oxygen-resistant character of the litopenaeus vannamei, a reagent for detecting the SNP molecular marker, and application of the primer, the kit or the method in identifying or breeding low-oxygen-resistant character litopenaeus vannamei varieties. The g.543Ggt can be preferentially selected in the genetic breeding research process of the litopenaeus vannamei taking the hypoxia-resistant character as a breeding index; an individual with the A site being GA is used as a breeding parent, which has important guiding significance for breeding of a new variety of the litopenaeus vannamei with the excellent hypoxia-resistant character.

The invention discloses a molecular marker closely linked with wheat flag leaf width major QTL and application of the molecular marker in prediction of wheat flag leaf width, and belongs to the technical field of wheat molecular biotechnology and breeding. Wherein the molecular marker is 4BFLW-290, the nucleotide sequences of the molecular marker are as shown in SEQ ID NO: 3 and SEQ ID NO: 4, the specific primer pair of the molecular marker is 4BFLW-290-F / R, and the nucleotide sequences of the specific primer pair are as shown in SEQ ID NO: 1 and SEQ ID NO: 2. The molecular marker 4BFLW-290 provided by the invention fully embodies the flag leaf width major QTL of the wheat variety (line), can quickly and accurately predict whether the wheat variety (line) has the flag leaf width major QTL or not, and provides excellent gene resources and selection tools for wheat yield trait molecular breeding.

The invention relates to the technical field of plant breeding, in particular to a molecular marker related to oil content and protein content of soybean and application of the molecular marker. The molecular marker is constructed on the basis of SNP sites; based on a genome version number Wm82. A2. V1, the SNP site is located at the 8605814th site of the No.8 chromosome of the soybean, and the polymorphism is A / G. The application comprises the following steps: (1) predicting or detecting the oil content or protein content of soybeans; (2) identifying or cultivating soybean varieties with high oil content or protein content; (3) soybean molecular marker assisted breeding; (4) soybean variety improvement related to oil content or protein content; and (5) soybean germplasm resource improvement. The molecular marker related to the soybean oil content and the protein content is obtained through research and screening, and the molecular marker can be applied to cultivation of soybean varieties with high oil content and high protein content and has important value in the field of soybean breeding.