530results about How to "Improve farming efficiency" patented technology

The invention provides a live pig health monitoring method based on multi-source information fusion, and the method comprises the steps: collecting the sound data of a live pig in a natural environment, carrying out the classification and preprocessing of the sound data, forming a sound sample data set, inputting an LSTM neural network model, and carrying out the training, and obtaining a sound detection model; acquiring a live pig attitude image to obtain an attitude sample data set, and inputting the live pig attitude sample data set into the YOLOv5s model for training to obtain an attitude detection model; inputting live pig sound data collected in real time, preprocessing the data, and inputting the data into the sound detection model to obtain sound features; inputting live pig attitude images collected in real time into the attitude detection model to obtain attitude features; measuring the body temperature of the live pig by using an infrared temperature sensor, measuring the weight of the live pig by using a weight sensor, and fusing the sound feature, the posture feature, the body temperature and the weight to obtain a fusion vector; and inputting the fusion vector into a random forest classifier for decision making, and determining the health state of the live pig. According to the method, multi-modal data are fused, comprehensive evaluation and diagnosis of the health condition of the live pigs are facilitated, and the accuracy and robustness of the whole monitoring system are further improved.

The invention provides a water quality and feeding linkage management method and system based on the Internet of Things, and relates to the technical field of feeding management, and the method comprises the steps: deploying a sensor, and collecting water quality data; a water quality and feeding linkage model is constructed based on the water quality data, and the feeding amount is dynamically adjusted; feeding the feed based on the feeding amount, and optimizing the feeding amount according to real-time feedback; establishing a water quality abnormity monitoring model, and monitoring water quality data; if the water quality is abnormal, starting an adjusting mechanism; water quality data and feeding amount are remotely monitored, trend analysis is performed based on historical data, and automatic decision making is realized through an intelligent algorithm.

The invention discloses a pig single-view three-dimensional reconstruction method based on deep learning, and the method is called Magfup. In order to solve the problems that single-view three-dimensional reconstruction viewpoint learning is unstable and training is difficult due to lack of real three-dimensional data, an implicit-explicit combined three-dimensional representation method is adopted, high-dimensional data features subjected to super-resolution optimization are combined, a high-density pig three-dimensional grid can be reconstructed only through a single image, and the problem that training is difficult is solved. And data acquisition cost and equipment requirements are reduced. According to the method, the three-dimensional grid surface is optimized through the Laplacian smoothing method, and the reconstruction quality is improved. According to the invention, the model can learn the general shape and posture characteristics of the pig, predicts the three-dimensional posture, shape and texture information of the specific pig, and more accurately and comprehensively reflects the behavior characteristics of the pig. Therefore, the method can adapt to complex and changeable environments and pig behaviors in a pig farm, and a more comprehensive and accurate data basis is provided for pig behavior analysis.

The present invention discloses an underwater cleaning robot and a method for using the robot. The robot comprises: a travel mechanism disposed at the bottom for carrying and transporting, the travel mechanism is connected to a control system disposed inside the robot, the control system is connected to a wireless receiving device, the robot is provided with a filter chamber, the filter chamber upstream is connected to a sewage suction port disposed at the front bottom of the robot, a filter sheet is disposed in the filter chamber, a transparent window for manually cleaning dirt residues is provided at a position corresponding to the top of the filter sheet and covering the top of the filter chamber, a self-priming water pump is connected to the downstream of the filter sheet, the outlet of the self-priming water pump is connected to a negative pressure outlet disposed at the rear upper part of the robot, and a video monitoring lens connected to the control system is provided at the rear tail of the robot. The robot of the present invention can achieve real-time cleaning of the substrate of an aquaculture pond in a mechanically automated manner, ensure the quality of aquaculture water, improve the aquaculture environment and growth efficiency of aquatic products, and also improve the production efficiency of aquaculture and its economic benefits.

The invention, which relates to the technical field of ocean engineering, discloses a bamboo-based offshore floating type unmanned marine ranch system comprising a facility module, a data integration and processing module, and an interaction module. Wherein the facility module comprises a self-repairing bamboo-based floating platform, an intelligent sensor network, a camera monitoring system, an automatic bait casting machine, an intelligent water quality purification device and automatic grading, sorting and fishing equipment; the data integration and processing module comprises a cloud platform, an artificial intelligence algorithm and a big data analysis platform; the interaction module comprises a VR breeding experience system, a remote monitoring and management system and an early warning system. According to the method, the bamboo is used as a basic material of the floating platform, compared with traditional plastic or metal materials, the bamboo has higher renewability and lower carbon emission, the self-repairing coating technology is adopted, tiny cracks on the surface of the bamboo can be automatically repaired, the service life of the floating platform is prolonged, and the maintenance cost is reduced.

The invention discloses an intelligent computing platform for animal gene breeding, which adopts RFID electronic ear tags or other biological recognition technologies to carry out individual marking and identity authentication on each breeding pig, collects basic information of the breeding pig in real time, and carries out intelligent computing on the basis of a statistical genetics model in combination with a machine learning algorithm. The method comprises the following steps: collecting phenotypic data and genotypic data, carrying out deep analysis on the collected phenotypic data and genotypic data, calculating a breeding value or a genome breeding value of each breeding pig, designing and applying an optimization algorithm according to a genetic evaluation result, formulating an optimal breeding pig mating plan, and realizing automatic monitoring of pig house environment parameters through an Internet of Things technology. The method comprises the steps of performing intelligent analysis on behaviors and postures of pigs in combination with an AI image recognition technology, developing a matched software system, integrating data analysis results, establishing a database based on a cloud computing architecture, constructing a visual platform containing various charts and reports, and converting complex data into visual and understandable information.

The invention discloses an intelligent beef cattle breeding and feed management monitoring system in the technical field of cattle breeding. Comprising an NFC label used for distinguishing cattle, a camera used for shooting the overall state of the cattle, a weighing instrument used for being placed on one side of a trough to weigh the cattle, a temperature and humidity sensor and an accurate feeding module. Calculating and preparing a feed formula and total amount; and the intelligent monitoring module is used for receiving the feed intake and the cattle state video data of the cattle identified and monitored by the camera, and automatically judging the overall state of the cattle according to the feed intake and the cattle state video data. The system is scientific and reasonable, the system makes a scientific and reasonable mating plan, and ensures that cattle can obtain appropriate nutrition supply through data sharing and cooperative work, and effective linkage of breeding and feed management is achieved.

The invention belongs to the technical field of biomolecules, and particularly relates to an NIPBL gene for judging the sex of chickens and application of the NIPBL gene. The NIPBL gene has a segment with the difference of 606bp on chicken Z and W chromosomes, and is also a deletion segment on the W chromosome, the chicken sex can be quickly and effectively identified by detecting the sequence condition, the chicken with the deletion of the molecular marker sequence segment is a female individual, and the chicken without the deletion of the molecular marker sequence segment is a male individual; the invention further provides a specific primer, the chicken sex can be accurately judged through a PCR amplification technology and agarose gel electrophoresis, a strip is clear, the method is small in technical difficulty, easy and convenient to operate and high in accuracy, the sex of chicks or chickens difficult to distinguish in appearance can be effectively identified, the method has practical significance on identification of varieties small in male and female appearance difference, and the method is worthy of popularization and application. The method disclosed by the invention is strong in technical applicability and good in repeatability, can be used for accurately identifying the gender of the poultry, and has a wide application prospect.

The invention discloses a marine ecology aquaculture net cage monitoring device and a working method thereof, and relates to the technical field of marine aquaculture monitoring, a stable sleeve is mounted at the top end of a mounting base, a connecting clamping block is slidably clamped to the inner side of the stable sleeve, a clamping groove is formed in the inner side of the stable sleeve, and the connecting clamping block is connected with the clamping groove in a sliding mode; the device is scientific and reasonable in structure and safe and convenient to use, the mounting base can smoothly and quickly move under the sea level through a waterproof driving motor and a driving roller, a deeper water area can be monitored more conveniently, and the device has the advantages that the device is simple in structure, convenient to use and high in practicability. According to the marine product living environment monitoring system, multiple groups of data at different water depths can be monitored, different data can be compared, living environment monitoring can be more accurately carried out on marine products at different water depths, water areas can be treated in time when problems occur, and the survival rate of the marine products is further improved.

The invention relates to a shrimp feeding behavior prediction and automatic feeding method based on machine vision, which comprises the following steps: S1, identifying and analyzing the behaviors of shrimps: identifying the dynamic and overall behaviors of the steps of the shrimps through feature labeling and model training of the steps of the shrimps, and judging the resting, swimming and foraging behavior states of the shrimps; s2, identifying and analyzing the behavior state of the shrimps through the body labeling features, and combining with identification of residual feed in water to adjust a feeding strategy, reduce waste and reduce water treatment load; s3, the computing power center obtains real-time image frames of the underwater high-definition camera, after computing power analysis is applied, signals are sent to the feeder control center, feedback information is received, and signal linkage is achieved; and S4, video real-time monitoring and breeding data real-time display. According to the method, the training model for accurately identifying the prawn foraging behavior can be realized, the method can adapt to the complex and changeable underwater environment of the circulating water culture pond, the technical robustness is high, accurate identification can be realized, and the intelligent degree is high.

The invention discloses an intelligent aquaculture control system and method, and particularly relates to the field of aquaculture control. Environmental monitoring data of a culture water body is obtained, and whether the water quality of the culture water body meets a preset water quality requirement is analyzed and judged according to the data. When the water quality of the aquaculture water body does not meet the preset water quality requirement, the water body is automatically adjusted according to the water quality requirement data, and a water body optimization record is generated. And by analyzing the water body optimization effect, generating a water body state regulation and control effect record. And acquiring growth state data of the cultured organisms, comprehensively evaluating the health condition of the cultured organisms in combination with the water body regulation and control effect, and generating a growth health evaluation result. And when the evaluation result shows that the health risk exists, a health early warning notification is sent, and a corresponding management suggestion is provided for a manager, so that intelligent control and risk early warning in the culture process are realized, and the aquaculture efficiency and the health level of cultured organisms are improved.

The invention belongs to the technical field of biomolecules, and particularly relates to an SMAD7 gene for judging chicken sex and application. Through the molecular marker and the design of a new PCR primer, the migration distance difference of two bands amplified by a ZW chromosome is 299bp, and compared with the migration distance difference of 150bp of a traditional sex identification gene CHD1 amplification system, the migration distance difference of the bands of the two items is larger, and judgment is easier; the fragments amplified by the designed PCR primer are smaller and are only 517bp and 816p, the PCR amplification time is remarkably shortened, and the sex identification time is shortened; in addition, amplification and agarose gel electrophoresis can be directly carried out by extracting chicken tissues, the sex of the chicken can be rapidly judged according to an electrophoresis result, the DNA extraction time is shortened, the time length can be controlled within 1 hour, operation is easy, the identification result is accurate, basic-level application and popularization are facilitated, and the method has a wide market application prospect.

The invention discloses a fishery breeding intelligent monitoring system based on the Internet of Things, which belongs to the technical field of fishery breeding monitoring and comprises a platform end and a user end. The platform end comprises an acquisition and analysis module, an information module and a technology reserve module; the acquisition analysis module is used for performing acquisition demand analysis, determining various monitoring recommendation demands, and setting each acquisition device according to each monitoring recommendation demand; the technical reserve module is used for setting various breeding monitoring modes; the user side comprises a product communication module, a monitoring module, a monitoring analysis module, a display module and a breeding adjustment module; the product communication module is used for determining a monitoring application mode and a monitoring management mode; the monitoring module is used for monitoring aquaculture in real time to obtain monitoring data; the monitoring analysis module is used for analyzing the monitoring data to obtain a monitoring analysis result; the display module is used for processing the monitoring data and the monitoring analysis result to form display data; and the breeding adjustment module is used for breeding adjustment management.

The invention discloses a dairy cow milk yield related SNP molecular marker and application thereof, the SNP molecular marker is T or C at the position of a cow genome chr14: g1472679, and when the SNP site is T, the high milk yield character is shown. The SNP locus can be used for identifying or assisting in identifying the milk yield character of the dairy cow, and is used for the aspects of dairy cow group optimization, dairy cow breeding and the like, so that the frequency of dominant milk yield alleles in dairy cow groups is increased, the feeding cost of a pasture is reduced, and the breeding benefit is improved.

The invention provides a fish school feeding method and device, computer equipment and a storage medium, and belongs to the technical field of aquaculture. The method comprises the following steps: constructing a fish school feeding behavior training sample; constructing a fish school feeding prediction model; acquiring a behavior image of the target fish school; inputting the behavior image into the fish school feeding prediction model to obtain predicted feeding intensity of a target fish school; and feeding a target fish school according to the predicted feeding intensity. Therefore, the behaviors of the fish schools are predicted according to the feeding model of the fish schools, the feeding intensity of the fish schools is obtained, the feeding machine is adjusted in real time according to the feeding intensity of the fish schools to feed the fish schools, the feeding behaviors of the fish schools can be monitored and analyzed in real time according to the intelligent feeding method, and the feeding strategy is adjusted in real time; the accuracy and efficiency of bait casting are improved, and different breeding scenes and requirements can be met. In addition, bait casting cost and labor cost can be reduced, and breeding benefits and economic benefits are improved.

The invention discloses an efficient gathering and catching method and system for fertilized eggs of yellow-fin tuna, and aims at culturing the yellow-fin tuna, a three-dimensional visual water area model is constructed, and monitoring points are set to monitor water body characteristics, fish school activities and fertilized egg distribution. Through multi-cycle monitoring and serialization of a water body flow field, fish school activities and fertilized egg distribution characteristics, a grey correlation method is adopted to analyze change correlation, water body-activity correlation data is formed, a fertilized egg damage prevention system is constructed, a culture area is monitored in real time, data is imported, the data is compared with the correlation data, fertilized egg distribution is predicted, and meanwhile, the fertilized egg damage prevention system is established. The breeding environment is regulated and controlled in real time, a gathering and catching scheme is generated, and breeding management is optimized. By means of the system and method, relevance data analysis and mining can be effectively conducted on fertilized egg distribution, the water body, fish school activities and other information, precise regulation and control over the water body are achieved, the number and distribution of the fertilized eggs tend to be expected, meanwhile, the gathering and catching efficiency of the fertilized eggs is improved, and the breeding benefits are further improved.

The invention provides an earthworm breeding room environment monitoring system and method based on multi-source data, and relates to the technical field of earthworm breeding room environment monitoring, a breeding room is uniformly divided into a plurality of grids, a plurality of sensors are arranged to collect historical environment data in the breeding room, and the historical environment data are preprocessed to form a historical sample set. And training an environment prediction model by adopting a linear regression model so as to predict future environment data. And preprocessing environment data at the current moment, inputting the preprocessed environment data into the model, predicting environment parameters at the next moment, comparing the predicted environment parameters with a suitable range, and marking an abnormal grid. And calculating an environment index of the abnormal grid, comparing the environment index with a preset threshold value, and if the environment index is lower than the threshold value, giving out an early warning. According to the method, the environment condition of the earthworm breeding room can be effectively monitored, the suitability of breeding conditions is ensured, the breeding efficiency and yield are improved, and the method has important application value and popularization potential.

The invention provides a fine-wool sheep genome selection method, which relates to the field of animal genetic breeding, and comprises the following steps: establishing a sheep genome reference group, and carrying out main phenotypic character determination on the sheep genome reference group; designing a liquid phase chip based on re-sequencing data of a plurality of sheep varieties, and performing fine-wool sheep genome selection to obtain GWAS prior information; estimating heritability of the genetic variance and the error variance to different characters based on an RRBLUP model, and obtaining a character heritability statistical result; performing genome estimation breeding value prediction analysis based on a character heritability statistical result; constructing a breeding target character according to the breeding target, and constructing a genome comprehensive breeding value estimation model based on the breeding target character; comprehensive breeding values of the sheep individuals are calculated based on a genome comprehensive breeding value estimation model, comprehensive breeding value ranking is carried out, and sheep seed selection and matching are carried out according to the comprehensive breeding values; and carrying out important economic character genome breeding value prediction analysis based on the GWAS priori information.

The invention relates to the technical field of precise feeding, in particular to a milk cow feed precise grading feeding system and method. The data analysis module is used for determining the health state of the dairy cow according to the change type of the physiological activity characteristics of the dairy cow within the first preset duration; the feeding method determining module is used for determining a feeding method according to the health state of the dairy cow and the production performance tendency value of the dairy cow; the feeding module is used for conveying a corresponding type of feed to a dairy cow trough according to a corresponding feeding method; the adjusting module is used for determining whether to adjust the feeding method determining process parameters or not according to the fluctuation degree of the production performance growth of the dairy cow in the preset period; by improving the analysis of the production performance of the dairy cows for graded feeding, the feeding accuracy of the dairy cows is improved, and then the production performance of the dairy cows is improved.

The invention belongs to the technical field of beef cattle molecular marker-assisted selection, and particularly relates to application of an SNP molecular marker related to the inclined length character of a beef cattle 6-month-old body. The SNP molecular marker is located at a basic group of a 71085551 site of a No.3 chromosome in a beef cattle genome GCF002263795.1 AR-UCD1.2 genomic.fna, the SNP site of the molecular marker has G / A polymorphism, and A is an unfavorable allelic variation of the oblique length character of the beef cattle at the age of 6 months. By detecting the base type of the SNP site of the molecular marker, the molecular marker is used for detecting or assisting in detecting the oblique length character of the beef cattle at the age of 6 months, genetic breeding of the oblique length character of the beef cattle at the age of 6 months is improved, and the breeding process of beef cattle varieties is accelerated.

The invention discloses a deep learning-based plectropomus leopardus phenotype precision analysis method and system. The method comprises the steps of obtaining a key frame image of plectropomus leopardus through video monitoring, identifying a fish school by using a deep learning CNN model, segmenting a fish image region and extracting phenotype features. Selecting a breeding cycle, performing sub-region division on an image region of the plectropomus leopardus, performing feature difference calculation on phenotypic features and preset variation feature data to obtain variation feature values, and endowing each sub-region with a weight; the system stores the image and feature data of each recognized target, and in real-time fish school variation recognition and statistical analysis, similarity calculation is carried out through a real-time target and an existing target in a database, so that repeatability detection and precise target tracking of plectropomus leopardus are realized. According to the invention, rapid and accurate phenotype analysis and target tracking of the plectropomus leopardus can be realized, the accuracy of breeding analysis is improved, and breeding benefits are improved.

The invention belongs to the technical field of veterinary medicine preparation, and particularly relates to a preparation method of a scutellaria baicalensis stem and leaf extract preparation. The preparation method of the scutellaria baicalensis stem and leaf extract preparation comprises the following steps: performing alcohol extraction on scutellaria baicalensis stems and leaves to obtain an alcohol extract; and uniformly mixing the alcohol extract and the lauryl sodium sulfate / polyethylene glycol-6000 mixture to obtain the scutellaria baicalensis stem and leaf extract preparation. According to the preparation method, lauryl sodium sulfate and polyethylene glycol-6000 are jointly added into a scutellaria baicalensis stem and leaf extract obtained through an alcohol extraction method, and the scutellaria baicalensis stem and leaf extract preparation is prepared from the scutellaria baicalensis stem and leaf extract. Due to the solubilizing characteristic of the lauryl sodium sulfate and the polyethylene glycol-6000, the lauryl sodium sulfate and the polyethylene glycol-6000 are dissolved in water and then gather in water to form micelles, the scutellaria baicalensis stem and leaf extract which is insoluble in water can be wrapped in a micelle core through the method, and the solubility of the scutellaria baicalensis stem and leaf extract is further improved.

The underwater automatic feeding device comprises an aquaculture net cage and a buoyancy box, rotating shafts are arranged on the two sides of the aquaculture net cage, a first through hole is formed in the rotating shaft on one side, and an aquaculture platform working deck is fixed to the buoyancy box; a heat dissipation structure for dissipating heat in the buoyancy tank is arranged on one side of the breeding platform working deck, a feed bin structure is fixed to the bottom in the buoyancy tank, a stirring structure is arranged in the buoyancy tank to stir feed in the feed bin structure, and a first small hole is formed in the lower portion of the side, close to the end face of the net cage, of the buoyancy tank; the inner side of the first small hole is connected with a discharging pipeline on the stock bin structure, the outer side of the first small hole is connected with a feed conveying pipeline, one end of the feed conveying pipeline penetrates through the first through hole and is located in the breeding net cage, and the breeding platform working deck is further provided with a feeding device console. The labor intensity of breeding personnel can be reduced, the operation process of overturning the net cage is simplified, and the occupied space of the breeding device is reduced.

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 discloses a chicken abnormal sound recognition method, system and device for a large-scale farm and a storage medium. The method comprises the following steps: acquiring sound data of a chicken as a first audio; taking the preprocessed first audio as a second audio; taking the second audio frequency after the secondary noise reduction as a third audio frequency; performing sound endpoint detection on the third audio, and taking an obtained effective sound fragment as a fourth audio; performing data enhancement on the fourth audio, and taking the fourth audio after data enhancement as a fifth audio; converting the audio clip of the fifth audio into a Mel spectrogram, extracting a corresponding first-order difference Mel spectrogram and a corresponding second-order difference Mel spectrogram based on the Mel spectrogram, and performing feature fusion to obtain corresponding three-channel Mel fusion features; and inputting the Mel fusion feature into a model for identification to obtain an event category result corresponding to the audio. According to the invention, abnormal chicken sounds in the chicken farm can be accurately identified, and the breeding efficiency is improved.

The invention discloses a prawn culture-oriented ecological environment condition dynamic evaluation system, and relates to the technical field of culture, prawn metabolism states under different salinity are tested through a test module, the influence of salinity on prawn metabolism can be analyzed, an appropriate salinity range is preliminarily screened out by constructing an influence coefficient Yxxs, and the salinity of prawns can be evaluated according to the influence coefficient Yxxs. According to the method, the defects of traditional empirical judgment are overcome, salinity optimization is more scientific and digitized, and the survival rate and the culture efficiency of the prawns are improved. The survival rate Chz is obtained through secondary screening of the survival analysis module and in combination with survival conditions lasting for the same duration under different salinity, and the salinity in the culture pond is further optimized according to the value, so that the influence of salinity change on prawns can be continuously monitored, the culture environment can be dynamically adjusted, and the survival rate of the prawns is improved. It is ensured that prawns grow under the optimal survival condition, and therefore the death risk caused by environment changes is reduced.

The invention provides a traditional Chinese medicine composition for preventing and treating gout of goslings and a preparation method of the traditional Chinese medicine composition, and relates to the technical field of gosling breeding. The traditional Chinese medicine composition for preventing and treating gout of goslings comprises a composition I, a composition II and a composition III, the composition I is prepared from the following components in parts by weight: 70 to 90 parts of cortex cinnamomi, 30 to 50 parts of cortex phellodendri, 30 to 50 parts of rhizoma atractylodis, 40 to 60 parts of semen coicis, 20 to 40 parts of radix astragali seu hedysari and 20 to 40 parts of radix scutellariae; the composition II is prepared from the following components in parts by weight: 0 to 30 parts of radix bupleuri, 0 to 30 parts of radix angelicae sinensis and 0 to 30 parts of fructus lycii; the composition III is prepared from the following components in parts by weight: 0 to 20 parts of honeysuckle flower and 0 to 20 parts of herba taraxaci. The cortex cinnamomi, the semen coicis, the cortex phellodendri, the rhizoma atractylodis, the radix astragali seu hedysari and the radix scutellariae are added into the raw materials, so that the gout case fatality rate can be remarkably reduced on the basis of the prior art (the Simiao pill prescription), and the production benefit can be improved.

The invention relates to the technical field of goat molecular marker breeding, in particular to an SNP (Single Nucleotide Polymorphism) molecular marker for identifying or assisting in identifying the height of a goat body type and application of the SNP molecular marker. The SNP molecular marker provided by the invention is located at the 937th basic group of an SHBG gene coding region and has A / G polymorphism, and the login number of the SHBG gene is NC030826.1. According to the invention, a Leizhou goat is taken as an experimental material, sequencing analysis is carried out on an SHBG gene, A-G mutation exists at the 937th basic group in an SHBG gene coding region and is non-synonymous mutation, the mutation leads to mutation of amino acid from arginine to glycine, and the genotype of the site is related to the high and short foot character of the goat (when the genotype is GG or AG, the goat is a tall goat; and when the genotype is AA, the goat is a short type goat), the method can be used for identifying or assisting in identifying the height of the goat body type, and has important significance on breeding of goat varieties.

The invention relates to the field of mangrove forest ecological system restoration, in particular to a mangrove forest tidal flat-based mud dice culture method and application thereof. The method comprises the following steps: (a) by taking an estuary mangrove forest tidal flat as a breeding base, arranging mud dice apartments on bare beaches inside and outside the mangrove forest; wherein the mud dice apartment is filled with culture soil; the top end of the mud dice apartment is exposed out of the beach surface; (b) putting mud dice seedlings into the mud dice apartment for cultivation and management and protection; and (c) harvesting the mud dices after the mud dices are mature. According to the mud dice cultivation method based on the mangrove forest tidal flat, a movable circulating container cultivation mode is adopted, mud dice is cultivated on bare beaches inside and outside the mangrove forest, and the mud dice cultivation method combining mangrove forest restoration and tidal flat efficient utilization is created. The method can be used for rapidly repairing a damaged mangrove forest ecological system, the quality of tidal flat soil is improved in the efficient cultivation process of mud dices, and sustainable utilization of the tidal flat is achieved.

The utility model relates to an aquaculture mesh cage depth adjusting device, and belongs to the technical field of aquaculture. The device comprises a cable take-up and pay-off mechanism arranged on a ship body, and a hoist rope connecting the cable take-up and pay-off mechanism and a culture net cage, wherein the cable take-up and pay-off mechanism controls the depth position of the culture net cage in seawater by tightening or loosening the hoist rope. The utility model provides a depth adjusting device for an aquaculture mesh cage, and aims to meet the requirements of cultured organisms in different seasons and environmental conditions by accurately controlling the depth of the aquaculture mesh cage in the sea, so that the culture efficiency and the product quality are improved. Specifically, by tightening or loosening the hoist rope, the aquaculture mesh cage can be adjusted to be located in water bodies of different depths, and then the growth environment of cultured organisms is adjusted.