1514 results about "Pig breeding" patented technology

The invention discloses a pig breeding intelligent management and control system based on multi-modal data monitoring, and belongs to the technical field of pig breeding management, and the system comprises a data collection and individual recognition module which comprises an RFID ear tag, an inspection robot, an environment sensor and an intelligent feeder, and is used for determining the identity information of a pig individual based on the data collected by the RFID ear tag and the inspection robot, associating the collected multi-modal data of the live pigs in the pig house, and uploading the multi-modal data to edge computing equipment through an MQTT protocol for preprocessing; the feature extraction module extracts physiological and behavior features of live pigs by using a multi-modal deep learning fusion model; the key breeding index analysis module constructs a live pig health index and an environment quality index; the abnormity early warning module adopts a CUSUM control chart to accumulate index deviation and respond to abnormity; the management regulation and control model constructs a Markov decision process by minimizing energy consumption and maximizing health indexes, intelligently adjusts the rotating speed of a fan and a feeding strategy, and realizes precise environmental control and feeding optimization.

The invention relates to the technical field of molecular markers, and discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to the litter size character of pigs and application of the SNP molecular marker. The SNP molecular marker is located at a 34977540bp site of a chromosome 2 of an international pig reference genome Sscrofa11.1 version, and the nucleotide sequence of the site is G or A and is located in an exon region of an LUZP2 gene. The invention also discloses an application of the SNP molecular marker in breeding of the litter size character of the boar, and provides a method for breeding or auxiliary breeding of the boar with high / low litter size based on the marker. The invention also provides a specific primer for identifying the SNP site. By applying the technologies, accurate prediction and efficient screening of the litter size of the large white pigs can be achieved, the breeding efficiency of excellent breeding pigs is remarkably improved, and the population improvement process is accelerated. The invention also provides important technical support for sustainable development of pig raising industry, also provides theoretical basis for research in related fields, and is expected to promote further development of pig genetic improvement work.

The invention relates to the technical field of molecular biology and molecular markers, in particular to an SNP (Single Nucleotide Polymorphism) molecular marker located on a porcine chromosome 14 and related to porcine reproductive traits and application. The SNP site of the SNP molecular marker located on the No.14 chromosome of the pig and related to the reproductive traits of the pig corresponds to the Cgt at the 105043272th site on the No.14 chromosome of the international pig reference genome version 11.1; t mutation is carried out, and the polymorphism of the basic group at the site affects the porcine reproductive traits; wherein the reproductive performance of pigs with CC and TC genotypes is superior to that of pigs with TT genotypes. By optimizing the dominant alleles of the SNP molecular marker, the frequency of the dominant alleles can be increased generation by generation, the reproductive performance of pigs is improved, and the genetic improvement progress of the pigs is accelerated, so that the economic benefit of pig breeding is effectively improved.

The invention belongs to the technical field of molecular biotechnology and molecular markers, and particularly relates to an SNP (Single Nucleotide Polymorphism) molecular marker located on a chromosome 2 and related to abnormal delivery traits of sows and application of the SNP molecular marker. An SNP site of the SNP molecular marker corresponds to Cgt at the 23330829bp position on a chromosome 2 of an international pig reference genome version 11.1; and the polymorphism of the basic group at the site affects the abnormal delivery character of the sow. The method solves the problem of genetic improvement of abnormal delivery of sows by means of molecular breeding, and can increase the frequency of dominant alleles generation by generation, reduce the occurrence rate of abnormal delivery of sows and improve the reproductive performance of sows by optimizing the dominant alleles of variation sites. The pig genetic improvement progress is accelerated, so that the economic benefit of breeding pig breeding is effectively improved.

The invention discloses a real-time cost management and control method and system for a pig raising enterprise. The method comprises the following steps: collecting structured data of a whole breeding period of boars, piglets and pork pigs in real time; based on the structured data, real-time cost indexes of the boars, the piglets and the pork pigs are calculated through a preset algorithm; comparing the real-time cost index with a theoretical standard value based on experimental field data; comparing the real-time cost index with a future cost threshold predicted by machine learning; when the real-time cost index exceeds the theoretical standard value or the future cost threshold value, it is judged that the cost is abnormal; and executing a corresponding exception adjustment operation according to the type of the exception cost. According to the invention, the technical problems of fragmentization of data acquisition, lagging of cost accounting, insufficient anomaly detection precision and low manual response efficiency in the prior art are solved.

The invention relates to a pig breeding environment early warning management system and method based on the Internet, and the system comprises a data collection and processing module which is used for collecting the environment data of a pig house, the state data of pigs and the operation data of equipment, and carrying out the data processing; the data transmission and communication module is used for transmitting the data acquired by the data acquisition and processing module and sending early warning information to culture personnel; the model construction module is used for constructing an environment prediction model, a disease prediction model and a risk prediction model, and training the three models in combination with the data acquired by the data acquisition and processing module; the early warning management and analysis module is used for inputting the real-time data acquired by the data acquisition and processing module into the three models of the model construction module, analyzing corresponding early warning conditions and performing early warning management; the method is applied to the system. According to the invention, the overall level of the breeding industry is improved through a mode of adapting to the large-scale and intensive trend of pig breeding based on the Internet.

The invention discloses a black pig breeding disease intelligent monitoring management method based on big data, and relates to the technical field of animal husbandry intelligent management and animal disease monitoring, and the method comprises the following steps: obtaining multi-dimensional data information of pigs in a black pig breeding scene in real time through a sensor network, a video monitoring system and a physiological information collection device; the multi-dimensional data collected in real time is preprocessed and standardized, and the original data quality and the data analysis effectiveness are improved. According to the invention, by introducing an adaptive adjustment mechanism, the problem of pathological data loss caused by excessive elimination of abnormal values in the prior art is solved, and accurate retention and dynamic tracking of early disease signals of pigs are realized. The method integrates multi-dimensional feature extraction and intelligent evaluation, has pathological trend perception and processing strategy adaptive adjustment capabilities, effectively improves the early recognition sensitivity and discrimination accuracy of a disease early warning system, and provides more scientific health management support for farms.

The invention discloses an intelligent detection and traceability system and method for pig farm breeding data, relates to the technical field of pig farm monitoring, and aims to solve the technical problems that breeding risks are difficult to estimate and hidden dangers exist in pork quality safety due to the lack of a traceability method and a management system in current pig farm breeding. Comprising a multi-type sensor network, a video monitoring system, a wireless communication network, and data encryption and secure transmission. According to the invention, a traceability system for live pigs from breeding to slaughtering can be established, a convenient traceability query function is provided for consumers through a block chain traceability system and a decision support system, and targeted breeding decision support is provided for farmers. According to the invention, pig farm breeding data can be collected and analyzed comprehensively, accurately and intelligently, and stored and inquired through the block chain traceability platform; and real-time early warning and decision support can be provided for live pig production and breeding of farmers. According to the invention, the modernization and intelligence level of the pig breeding industry can be effectively improved.

The invention relates to the technical field of artificial intelligence, in particular to an intelligent pig raising and selling platform data analysis system integrated with a 4G camera, and aims to solve the problems of data semantic segmentation and space-time mismatching of an existing heterogeneous sensing system. The system comprises an intelligent sensing node deployed in a breeding place and a cloud data analysis platform. The intelligent sensing node integrates an individual identification unit, a multi-modal visual acquisition unit and an edge calculation unit, and realizes data source fusion and information extraction; the data analysis platform constructs individual digital twins, and performs multi-dimensional intelligent analysis through growth prediction, health anomaly detection, market transaction decision and other models. According to the scheme, accurate prediction and optimization decision making of the live pig individual full life cycle data are realized, and powerful support is provided for fine breeding management, health early warning and intelligent transaction.

The invention discloses a feeding method and device capable of automatically adding pig raising feed, and aims to optimize feed management in the pig raising process through an automatic and intelligent technology. Comprising the following steps: monitoring environmental parameters such as temperature, humidity and air quality in a pig house in real time through an environment monitoring device, and transmitting data to a central control system; the central control system dynamically generates and adjusts a feed formula according to environmental parameters and growth stages and health conditions of pigs, and accurately mixes feed components through an automatic proportioning device. The feed trough sensor monitors the residual amount of feed in the feed trough, and when the feed is insufficient, the system automatically controls the feed conveying device to supplement the feed. In the feeding process, the central control system adjusts the feed adding frequency and the feeding amount according to real-time data, and the cleaning device is combined with the ultrasonic cleaning and nano-coating technology, so that the cleanliness and long-term stable operation of the equipment are ensured.

The invention relates to the technical field of pig breeding, in particular to an SNP molecular marker for identifying pork quality, a primer and application of the SNP molecular marker, the nucleotide sequence of the molecular marker is shown as SEQ ID NO.1, N at the 140th site of the sequence is an SNP site, and the polymorphism is T or C; the unfreezing water loss rate and intramuscular fat content of the pork with the CC genotype are higher than those of the pork with the TT genotype and CT genotype, and the molecular marker can be used for detecting the difference of pork quality and is applied to continuous breeding of the Songhua black pigs and early breeding in production.

The invention relates to a molecular marker which is located at the 47023718th basic group from the 5tail end on a No.16 chromosome of a pig reference genome Sscrofa11.1 and is related to a pig internal farrowing litter weight standard deviation. The invention describes a primer pair and a kit for detecting the molecular marker, and application of the primer pair and the kit in identifying the size of the standard deviation of the litter weight in the pig, screening pig varieties or genetic breeding of the pig. The pig internal litter weight standard deviation of the AA genotype individual is 2.79 kg, the pig internal litter weight standard deviation of the GG genotype individual is 4.38 kg, and the AA genotype individual is obviously smaller than the GG type individual, namely, the pig resilience of the AA genotype individual is higher than that of the GG individual. The AA type individuals are selected, and the pigs with small standard deviation of litter weight and high restoring force in the pigs can be obtained. According to the method, the problem of determining the pig resilience in actual production is effectively solved, the breeding cost is reduced, the pig internal litter weight standard deviation is effectively reduced, so that the pig resilience is improved, the method is high in accuracy and low in detection cost, automatic detection can be realized, and the method has very high practical application value in the aspect of pig breeding.

The invention belongs to the technical field of animal breeding, and particularly relates to application of a detection reagent of an SNP (Single Nucleotide Polymorphism) molecular marker related to pork tenderness. An SNP site exists at the 232bp position from the 5'end of the sequence, the polymorphism is G / A, three genotypes of GG, GA and AA are shown, G allele is dominant allele, and the meat tenderness of a GG type individual is obviously higher than that of an AA type individual. The invention further develops a reagent for detecting the SNP molecular marker, the reagent can be used for pig assisted breeding, pig breeding or pork tenderness identification, and a method for identifying the pork tenderness is developed, which is beneficial to accelerating genetic breeding and early-stage seed selection of boars with high-quality meat traits.

The invention belongs to the technical field of feed additives, and particularly relates to slow-release fat powder for pigs and a preparation method of the slow-release fat powder. The slow-release fat powder for pigs comprises an intragastric adhesion-slow release layer, a small intestine forepart bile acid response controlled release layer and a small intestine posterior microbe response controlled release layer. The prepared slow-release fat powder for the pigs is good in stability, accurate release of different nutritional ingredients in different parts of gastrointestinal tracts of the pigs can be achieved, and powerful support is provided for sustainable development of the pig raising industry.

The invention discloses a pig breeding screening method and system based on a body type database, and particularly relates to the technical field of pig breeding screening. The system comprises a multi-modal sign data acquisition and integration module for collecting and standardizing heterogeneous data sources such as phenotypic signs, genomics and environmental parameters of breeding pigs in real time, and a multi-dimensional biological characteristic modeling and analysis module for analyzing a nonlinear action mechanism among genetic markers, phenotypic characteristics and environmental factors, the genetic potential intelligent judgment module is used for quantitatively evaluating spatial expression potential and intergenerational transmission probability of genetic advantages of the breeding pigs through a deep learning algorithm; and the intelligent screening and dynamic monitoring module is used for establishing a multi-dimensional threshold dynamic regulation and control mechanism to realize accurate elimination decision and continuous optimization of a germplasm resource library. According to the method, the screening accuracy is remarkably improved by designing multi-source data fusion and online optimization capability, meanwhile, mistaken elimination is reduced through a redundant superior species temporary storage management module, and collaborative improvement of population genetic diversity and environmental adaptability is ensured.

The invention relates to a primer of an RBP4 gene molecular marker related to pig weak litter number character and application of the primer, and belongs to the technical field of biology. The RBP4 gene molecular marker is located at the 105043789th base of chromosome 14 of a pig reference genome Sscrofa11.1 version, the base is mutated into A or G, and the genotypes are A / A, A / G and G / G. The number of weak piglets of the G / G genotype pigs is lower than that of the A / G and A / A genotype individuals, and the number of weak piglets of the A / G genotype pigs is lower than that of the A / A genotype individuals. According to the present invention, the forward and reverse primer pair is used to amplify the fragment containing the molecular marker site, and the amplification product is subjected to Sanger sequencing so as to rapidly and accurately identify the genotype of the individual; the molecular marker is used as a genetic marker for pig breeding to breed pigs with less weak piglets; the method can efficiently and accurately detect the weak piglet number character, improves the survival rate of healthy piglets of a pig herd, and has an important value for breeding and production of pigs.

The invention discloses a pig farm breeding system based on digital twinning, the system is realized by adopting a front and rear end separation mode and combining Unity to generate WebGL, and the system specifically comprises a user management module, a pig management module, an equipment management module, a video monitoring module, an alarm module, an information large screen module and a pig farm twinning module. The system adopts a front-end and rear-end separated framework, the rear end and the front end can be independently deployed, and maintenance and upgrading can be more flexibly carried out. Based on the digital twinning technology, the management level of the pig farm can be comprehensively improved, and the pig raising industry can be more efficient and sustainable in development.

The utility model discloses a quantitative feed feeding device for live pig breeding, which comprises a mixing barrel, the outer wall of the mixing barrel is communicated with a feed suction pump, one side, far away from the mixing barrel, of the feed suction pump is communicated with a quantitative barrel, and the top surface of the mixing barrel is provided with a feed inlet. The feed is sucked into the quantitative barrel by the feed suction pump to perform quantitative work, then the quantitative barrel performs feeding work, when the quantitative work is performed, the feed in the mixing barrel needs to be uniformly mixed, so that the feed suction pump stably feeds the feed to the quantitative barrel, when the feed needs to be mixed, the motor is started, and a rotating column fixedly mounted at the output end of the motor starts to rotate; a rotating frame fixedly mounted on the outer wall of the rotating column rotates along with the rotating column, so that the rotating frame drives a rotating shaft rotationally connected in the rotating frame to rotate by taking the circle center of the rotating column as a rotating center, and a stirring rod fixedly mounted on the outer wall of the rotating shaft mixes the feed in the mixing barrel.

The invention discloses a multi-source data fusion system, which comprises a data acquisition module, a data processing module, a data fusion module, a wireless transmission module, a display and early warning module and a remote server, the data acquisition module is used for acquiring data information in a farm through camera equipment and a sensor; the data processing module is used for receiving and processing the collected data information; the data fusion module is used for fusing the data information processed by the data processing module, analyzing the fused data information and generating an analysis result; and the display and early warning module is used for displaying the analysis result and judging whether an abnormal condition exists or not. The accuracy of pig breeding monitoring is improved, and the misjudgment rate caused by data instability of a single sensor is reduced. Real-time monitoring and informatization management of pig breeding are achieved, and the breeding efficiency and the management level are improved. The system has good expansibility, and the types and the number of sensors can be increased or decreased according to actual requirements.

The invention relates to the technical field of live pig breeding, and discloses a live pig abnormity monitoring and early warning method based on behavior data, and the method comprises the following steps: inputting all normal monitoring content data of a live pig into a rear-end processing system through an initial data input module; a plurality of groups of image cameras are arranged in the activity range of the live pig and used for monitoring the living environment temperature, the body surface temperature, the behavior action, the feeding rate, the breathing rate, the skin appearance, the faeces and the urine color content around the live pig for synchronous monitoring. According to the live pig abnormity monitoring and early warning method and system based on behavior data, the chip is fixed on the ear of the live pig through the punch-in device, the growth data of the updated live pig is continuously written into the chip through the storage module, and the chip on each live pig remotely and regularly transmits a signal to the rear-end processing system; and the acquired data content can be stored in time according to the chip of each live pig, and early warning judgment can be performed in time.

The invention relates to a porcine reproductive and respiratory syndrome virus (PRRSV) dimer nucleocapsid (N) protein (PRRSV N-dimer) and application thereof. The PRRSV N-dimer is formed by connecting N protein amino acid sequences in series through (GGGGS) 3linker. According to the invention, a GGGGS 3linker nucleotide sequence is connected in series with a PRRSV NADC30-like strain N protein gene sequence to construct a prokaryotic expression vector, and a recombinant PRRSV N-dimer is expressed in escherichia coli. Through SDS-PAGE (Sodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis) and Western-blot detection, the recombinant PRRSV N-dimer obtains soluble expression and can be subjected to a specific reaction with PRRSV positive serum; through detection by a freeze thawing method and an ELISA (Enzyme-Linked Immunosorbent Assay) method, compared with a PRRSV monomer N protein (PRRSV N-monomer), the PRRSV N-dimer protein can be stably preserved, and the immunoreactivity is better. A PRRSV antibody indirect enzyme-linked immunosorbent assay (iELISA) detection method is established on the basis of a PRRSV N-dimer, and can be applied to diagnosis and monitoring of PRRSV infection.

The invention discloses a pig breeding monitoring and behavior intervention method and system based on improved YOLOv11, and relates to the technical field of intelligent breeding, and the method comprises the steps: collecting video data in a pig house in real time through a camera, carrying out the preprocessing, and extracting a key video frame; an improved YOLOv11 algorithm is adopted to construct a pig behavior detection model, key video frames are input into the model for feature extraction, multi-scale features are fused to enhance the recognition capability, a feature map used for behavior classification is generated, and accurate recognition of pig behaviors is achieved through a detection head; and judging whether a pig fighting behavior occurs in a short period according to the pig microscopic behavior characteristics, if so, triggering fighting early warning, when the pig fighting behavior is detected, triggering an intervention mode, and screening an intervention adjustment method from a management decision library according to the pig behavior state and the environment state. According to the invention, accurate identification and active management of pig behaviors are realized, and the identification capability of pig microscopic behaviors in a complex breeding environment is significantly improved.

The invention provides an ecological pig raising system based on intelligent monitoring and precise feeding, and belongs to the technical field of intelligent monitoring and precise feeding. According to the scheme, multiple types of sensors are deployed in a breeding environment, environment parameters are continuously collected, the collected environment parameters are preprocessed and preliminarily analyzed, and the environment parameters are analyzed to be detected; the processed environment parameters are sent to the central processing unit through the network transmission device, the central processing unit analyzes and evaluates the health state of the pigs, an individualized feeding plan is made according to the health state of the pigs, the behaviors of the pigs are monitored in real time, and abnormal conditions are responded. The problems that the quality of the breeding environment cannot be comprehensively known, and the safety and stability of data transmission cannot be guaranteed are solved.

The invention relates to the technical field of feed additives, and discloses a feed combination agent for improving the reproductive performance of sows by using 25-OH-VD3 and a preparation method thereof, and the preparation method comprises the following steps: taking an innovative product 25-OH-VD3 as a main raw material, and optimally combining other micronutrients, immune substances, metabolism promoting substances and the like for cooperative utilization to prepare the combination agent. The innovative 25-OH-VD3 not only serves as a golden partner for calcium and phosphorus metabolism of an organism, but also plays a wide immune regulation function, improves the reproductive function of pigs together and strengthens an optimized feed combination method and composition of the main effect of the 25-OH-VD3 at the same time, and other vitamins, trace elements, targeted active substances and other optimized combinations are preferably selected. The feed mainly solves the technical problem of integration of health and reproductive disorder of modern pig raising, and has the effects of remarkably enhancing the immunity of the sows, resisting oxidation and stress and systematically improving the reproductive performance of the sows.

The invention relates to a primer of a GAREM1 gene molecular marker related to the average daily gain character of pigs and application of the primer, and belongs to the technical field of biology. The GAREM1 gene molecular marker is located at the 116131455th basic group of chromosome 6 of a pig reference genome Sscrofa11.1 version, the basic group is mutated into A, and the genotypes are A / A and A / T. The average daily gain of A / T genotype pigs is higher than that of A / A genotype individuals. According to the present invention, the forward and reverse primer pair is used to amplify the fragment containing the molecular marker site, and the amplification product is subjected to Sanger sequencing so as to rapidly and accurately identify the genotype of the individual; the molecular marker can be used as a genetic marker for pig breeding to breed pigs with proper weight; the method can be used for efficiently and accurately detecting the average daily gain character of the pigs, and has an important value for breeding and production of the pigs.

The utility model relates to the technical field of dam spreading pig breeding, and discloses a pig house comprehensive environment automatic measuring device, which comprises a hanger rail and a breeding inspection machine, and the breeding inspection machine comprises a conveyor running on the hanger rail and an inspection box; an inspection camera, a programmable logic controller, an image analysis module, a sound recognition module, an environment sensing module, a communication module and a power supply module are mounted on the inspection box; the environment sensing module comprises a temperature and humidity sensor, an ammonia gas sensor and a carbon dioxide sensor; the environment parameters, such as temperature, humidity, ammonia gas and carbon dioxide concentration, of the pig house are monitored in real time through the sensors and automatically adjusted according to needs so as to maintain the optimal breeding environment, the breeding environment is optimized, healthy growth of pigs is promoted, diseases are reduced, the breeding quality is improved, an automatic system reduces dependence on manual inspection and management, and the breeding efficiency is improved. And the labor cost is reduced.

The invention discloses a hog cholera virus detection system based on cloud analysis, which comprises an image acquisition unit, a data processing cloud, a disease monitoring unit and an early warning management unit, and is characterized in that a live pig limb image is acquired through the image acquisition unit, and an image analysis model is constructed through the data processing cloud to analyze the live pig limb image; the hog cholera risk suspected degree is comprehensively evaluated from two perspectives of vascular risk and tissue edema, so that auxiliary diagnosis is carried out on hog cholera virus detection; the disease monitoring unit is used for monitoring the hog cholera virus for a long time, the deterioration or recovery condition of the disease condition of the sick pig is analyzed, a sick pig health management scheme is generated, and the targeted treatment effect of the sick pig is improved; and the early warning management unit globally analyzes the virus risk and generates a live pig breeding management scheme, so that corresponding overall management and control are performed for the hog cholera virus infection degree of the live pig breeding base, the early warning management efficiency of the live pig breeding base is improved, and the live pig breeding loss and the management cost are reduced.

The invention relates to the technical field of intelligent breeding and logistics optimization control, and solves the technical problems of high energy consumption, unstable efficiency, unbalanced distribution, lack of an intelligent scheduling mechanism and the like in feed conveying of a multi-storey pig farm. The method comprises the following steps: acquiring static parameters (physical characteristics of feed, physical attributes of a conveying system and a pig house structure) and dynamic parameters (real-time feeding requirements, equipment and material states and external environment factors); establishing a multi-objective optimization model of a collaborative optimization energy consumption model E (x), a time model T (x) and a conveying balance degree model U (x); solving by adopting a genetic algorithm with a special design crossover and mutation operator to obtain an optimal scheduling scheme; in the execution process, a closed-loop self-learning calibration mechanism is started, actual power is measured through a current sensor, and when the deviation between predicted energy consumption and actual energy consumption exceeds a preset threshold value, efficiency parameters in the energy consumption model are reversely corrected through a gradient descent method; the weight coefficients of the three models are dynamically adjusted according to the real-time electricity price and the inventory state. The system adopts a three-layer architecture of a perception and data acquisition layer, a decision and control core layer and an execution layer. According to the method, multi-target collaborative optimization and intelligent adaptive scheduling are realized, the total energy consumption is effectively reduced, the transmission time is shortened, the distribution balance degree is improved, and the energy consumption prediction accuracy is remarkably improved.

The hog house flushing device comprises a supporting rod, a sliding groove, a sliding block, a moving mechanism, a limiting mechanism, an adjusting mechanism, a spray head and a driving mechanism, the sliding groove is formed in the lower end of the supporting rod, the sliding block is inserted into the sliding groove, the moving mechanism is installed in the middle of the inner side of the sliding groove, and the spray head is arranged on the sliding groove. Limiting mechanisms are installed on the front side and the rear side in the sliding groove, an adjusting mechanism used for controlling longitudinal angle adjustment of the nozzle is installed at the lower end of the sliding block, a driving mechanism used for controlling transverse angle adjustment of the nozzle is installed in the middle of the lower end of the sliding block, and the nozzle is installed at the lower end of the adjusting mechanism. The animal house cleaning device has the advantages that an operator can flexibly adjust the spraying angle of the spray head according to the specific structure and shape in an animal house, and therefore the more comprehensive and deep cleaning effect is achieved, and the cleaning process is more efficient.

The invention discloses an MMP2 gene promoter region SNP (Single Nucleotide Polymorphism) site and application thereof in pig breeding. According to the invention, an MMP2 gene promoter region is taken as a research object, and the relevance between the MMP2 gene promoter region and sow sexual maturity is researched by adopting a molecular and cell biology method, so that the situation that g.30088284G > A site and g.30088004C > T site are obviously related to the group maturity day age of Dumet black pigs is found; then different vectors are transfected, and different influences of different genotypes of the sites on the activity of the IRS1 gene promoter are studied. Further, sow ovarian granular cells are used as experimental materials, experimental technologies such as transcriptome sequencing, a total iron colorimetric method and a malondialdehyde colorimetric method are adopted, the influence of the MMP2 gene on the transcriptome level and ferroptosis of the sow ovarian granular cells is researched, and it is found that cell transcriptome differential genes influenced by the MMP2 gene are mainly enriched to signal channels such as cell differentiation; and ferroptosis of cells is promoted.