56 results about "Chlorophyll" patented technology

The invention relates to the technical field of image recognition, in particular to a red tide algae recognition method based on a hyperspectral image, and the method comprises the following steps: calculating a gradient value of each pixel in a spatial dimension and a spectral dimension according to an original hyperspectral data cube, setting a diffusion coefficient for diffusion, and obtaining a three-dimensional fidelity hyperspectral data cube. According to the method, the gradient change trends of the spatial dimension and the spectral dimension are extracted at the same time pixel by pixel, and the regional differentiation diffusion operation is matched, so that the expression ability of the alga plaque boundary and the consistency of the internal spectral characteristics are enhanced, and the fidelity of the hyperspectral data in fine-grained region identification is improved; upper convex hull calculation of a spectral reflectivity curve and construction of a continuous spectrum background baseline are introduced, and characterization of pigment absorption morphological characteristics is enhanced; and in combination with the characteristic absorption wave bands of chlorophyll and phycobiliary, the synergistic weighted response to the distribution of the algae pigment is realized, and the sensitivity and selectivity of pigment recognition are improved.

The invention discloses a plant leaf physicochemical parameter inversion method based on spectrum two-dimensional characterization and multi-task deep learning, and belongs to the technical field of plant physiological detection. The method comprises the following steps: constructing a hyperspectral plant leaf data set; preprocessing a hyperspectral plant leaf data set; reconstructing the preprocessed one-dimensional spectral vector into a two-dimensional image; taking the generated two-dimensional image as input, constructing a multi-task learning model, and performing training and evaluation; and applying the trained model to a test set to obtain an inversion result of the physical and chemical parameters of the leaf. The method solves the problem of parameter inversion interference caused by the same-spectrum foreign matter phenomenon, achieves the precise modeling of local fine feature extraction and global context relation, solves the inversion precision bottleneck caused by spectral response overlapping among parameters, improves the distinguishing capability of the model for easily confused parameters such as chlorophyll and carotenoid, and improves the accuracy of the model. And finally, high-precision and robust synchronous inversion of the physical and chemical parameters of the plant leaves is realized.

The application belongs to the technical field of microorganisms, and specifically discloses a Bacillus haynesii DXGZ2-6, a bacterial agent thereof and application thereof. The Bacillus haynesii DXGZ2-6 has a preservation number of CGMCC No.33710. The Bacillus haynesii can produce various enzymes, effectively promote plant growth, slow down the decomposition or transfer of chlorophyll in plant leaves, and effectively inhibit various plant pathogenic bacteria.

The invention discloses Mn < 4 + >-doped oxyfluoride red fluorescent powder and a preparation method and application thereof, the chemical formula of the Mn < 4 + >-doped oxyfluoride red fluorescent powder is Mg7-xAxByGe2-yO10F2: zMn < 4 + >, A is at least one of Li, Sc and Zn, and B is at least one of Al, Ga, V, Mo, W, Ti, Si and Sn; 2x + 4y = px + qy, and p and q respectively correspond to chemical valence states of the element A and the element B; 0 < = x < = 0.8, 0 < = y < = 0.6, and 0 < z < = 0.5. The Mn < 4 + >-doped oxyfluoride red fluorescent powder is high in luminous efficiency, good in physical and chemical stability and excellent in quantum efficiency, the emission spectrum is well overlapped with the absorption spectrum of plant chlorophyll and phytochrome, the Mn < 4 + >-doped oxyfluoride red fluorescent powder can be applied to a light conversion film and a pc-LED lamp to supplement light for plants, and the illumination quality of the plants can be effectively improved.

This invention belongs to the field of biomedical materials and nanotechnology, specifically relating to the synthesis and application of a multifunctional mesoporous nanomaterial. The inventors synthesized a core-shell structured mesoporous nanoparticle using mesoporous silica nanoparticles and dopamine via emulsion epitaxy. The core of the core-shell structured mesoporous nanoparticle is S-nitrosoglutathione supported on mesoporous silica, and the outer shell is pentafluorophenyl chlorophyll supported on mesoporous polydopamine, forming MSN / G@mPDA / F nanoparticles. These nanoparticles rapidly increase in temperature to 45°C under 808 nm laser irradiation. o At temperatures above a certain temperature, S-nitrosoglutathione decomposes to produce nitric oxide. Further irradiation at 750 nm generates a large amount of reactive oxygen species, killing bacteria. This combination of photothermal and photodynamic therapy effectively inhibits bacterial growth. Therefore, this method exhibits excellent antibacterial effects and can play a role in the future treatment of bacterial infections.

The application discloses a kind of passion fruit plant health monitoring methods using spectral analysis, the method is by simultaneously collecting the spectral data of the top of plant new leaf, middle functional leaf and fruit, it is compared with the standard health spectrum model of prestorage, based on the diagnosis of magnesium deficiency of top leaf 530nm reflection peak, the diagnosis of nitrogen deficiency of middle leaf red edge position blue shift, the diagnosis of water deficiency of middle leaf water index rise, specific waveband spectrum distortion early warning disease and fruit spectrum form evaluation quality, realize multi-index comprehensive diagnosis;The application realizes multi-index diagnosis of plant nitrogen, magnesium nutritional status, water stress, potential disease and fruit quality by simultaneously collecting and analyzing the reflection characteristics of the top of passion fruit plant new leaf, middle functional leaf and fruit in specific spectral band, so as to overcome the problem of the prior art relying on single vegetation index or chlorophyll measurement, which leads to the problem of partial diagnosis information.

The invention relates to the technical field of water environment monitoring, and discloses a lake water quality multi-parameter deep learning inversion framework based on hyperspectral data, and the framework comprises the following steps: S1, data preparation and preprocessing: obtaining the hyperspectral data of lake water quality and corresponding water quality in-situ data, and preprocessing the hyperspectral data and the water quality in-situ data; s2, constructing a feature extraction and parameter inversion model which sequentially comprises a one-dimensional convolutional neural network module, a bidirectional long-short-term memory network module and a three-dimensional attention module, and inputting the preprocessed hyperspectral data into the model. According to the method, loss distribution can be dynamically optimized according to inversion requirements of different water quality parameters, the accuracy and generalization ability of simultaneous inversion of multiple parameters such as chlorophyll a, total suspended solids and transparency are remarkably improved, dependence of a traditional model on specific water body types is broken through, and the method can adapt to lake water bodies with different hydrological and optical characteristics.

The invention discloses a spectrum-adjustable LED plant illumination lamp, and relates to the technical field of illumination lamps, the spectrum-adjustable LED plant illumination lamp comprises a lamp housing, a controller is fixed on the outer wall of the lamp housing, a power supply bracket is fixedly connected to the top of the lamp housing, a power supply is fixedly connected to the top of the power supply bracket, and a supporting rod is fixedly connected to the inner wall of the lamp housing; an LED lamp panel is fixedly connected to the outer wall of the supporting rod, a swing device enabling the LED lamp panel to move is arranged at the position of the lamp shell, and an adjusting device for adjusting lamplight is arranged on the swing device. According to the spectrum-adjustable LED plant illumination lamp, the power supply is started, the LED lamp panel works, the motor, the rotating column, the rotating ring and the touch column are matched with one another, the LED lamp panel rotates, the illumination range of the LED lamp is widened, and the problems that due to the fact that the LED lamp panel irradiates one position for a long time at high intensity, plants grow excessively, leaves are dark green but fragile, and even chlorophyll structures are damaged, and the service life of the LED lamp is prolonged are solved. And on the contrary, healthy growth is inhibited.

The invention belongs to the technical field of information, and discloses a forest moisture utilization efficiency prediction method and system based on unmanned aerial vehicle LiDAR and multispectral imaging, and the method comprises the steps: calculating the structure parameters of tree height, crown breadth and the like through a separated single tree three-dimensional structure model, carrying out the curved surface reconstruction of a point cloud through employing a volume fitting method during the calculation, and carrying out the prediction of the forest moisture utilization efficiency. Determining geometrical morphology indexes of the individual trees; acquiring a spectral image captured by the multispectral camera, performing band extraction on the individual tree region, and separating visible light and near-infrared band data from the individual tree region to obtain an individual tree-level spectral reflection curve; constructing a moisture utilization model by integrating the structural parameters and the physiological parameters, and deriving an efficiency value from the ratio of tree height and crown breadth to chlorophyll moisture to obtain moisture utilization efficiency estimation of a single tree scale; spatial interpolation aggregation is carried out on the canopy level according to the obtained single-tree-scale moisture utilization efficiency estimation, and if the regional heterogeneity is high, a gridding fusion method is adopted to determine a moisture utilization efficiency distribution diagram of the whole forest ecosystem.

This invention relates to the field of water environment management equipment technology, specifically to an intelligent, multi-depth, dual-mode plasma unmanned algae removal vessel and its application. The vessel includes a hull, power supply system, detection system, control system, algae removal system, and power system. An online chlorophyll sensor probe is installed at the front of the hull; photovoltaic panels are laid on the top of the hull, and batteries are embedded inside the hull; array-type jet discharge plasma reactors and lifting liquid phase discharge devices are installed on both sides of the hull; a propulsion device is located at the stern. This invention utilizes photovoltaic self-powering and integrates unmanned / manned dual control modes. It adjusts the power and operating mode of the plasma reactor in real time through online monitoring data, flexibly switching between 0-50cm jet discharge and 50cm-5m liquid phase discharge modes. It generates a large amount of active substances in situ to efficiently kill algae, and has advantages such as high mobility, low energy consumption, and no secondary pollution.

The present application relates to the field of environmental management technology, and discloses a kind of emergent aquatic plant-sediment microbial fuel cell synchronous remediation water body method, comprising the following steps: S1, constructs emergent aquatic plant-SMFC coupling system, emergent aquatic plant-SMFC coupling system includes emergent aquatic plant and SMFC, SMFC includes anode electrode, modified cathode electrode and external resistance;Emergent aquatic plant is planted around anode electrode, so that anode electrode is contacted with bottom mud;S2, preparation modified cathode electrode, and the catalytic activity of cathode electrode is enhanced by electrochemical oxidation modification;S3, domestication electric active microorganism, emergent aquatic plant-SMFC coupling system is placed in room temperature domestication, and the electricity generation capacity of anode electrode is improved by introducing bottom mud rich in organic matter or exogenous inoculation microorganism;S4, start and run system, and the concentration change of chlorophyll a, ammonia nitrogen, total nitrogen and total phosphorus in water body is monitored in real time.The present application provides a kind of green, economic and efficient algal bloom water remediation technology, and is suitable for the ecological management of algal bloom water.

The invention relates to application of zeaxanthine in improving cold resistance of plants, and belongs to the technical field of agriculture. The invention provides an application of zeaxanthine in improving the cold resistance of a plant. The plant is dendrobium nobile. According to the method, zeaxanthine aqueous solutions with different concentrations are sprayed to the low-temperature-stressed dendrobium nobile, and by measuring various parameters of the dendrobium nobile, results show that the yellow leaf rate, the leaf falling rate and the relative electric conductivity of plants can be reduced by spraying the zeaxanthine aqueous solution with the concentration of 50 mg / L to the low-temperature-stressed dendrobium nobile plants, the low-temperature semi-lethal temperature of the plants is reduced, and the yield of the plants is increased. The content of malonaldehyde, soluble protein, soluble sugar, proline and chlorophyll in the plants can be increased, the stress resistance of the plants is enhanced, damage caused by low temperature is relieved, and it is comprehensively known that the cold resistance of the dendrobium nobile can be enhanced by externally applying the zeaxanthine aqueous solution with the concentration of 50 mg / L.

The present application relates to the field of intelligent agricultural mycorrhizal fungus fertilizer production and application, and discloses a method and application for intelligent soil testing, mycorrhizal fungus fertilizer preparation, quality improvement and soil improvement, which is based on the use of full spectrum direct reading plasma emission spectrometry IPC-OES / ICP-MS, elemental analyzer VarioEL, ion chromatography HPIC combination, and qualitative and quantitative exchange capacity CEC, discloses a method and application for intelligent soil testing, mycorrhizal fungus (AMF) fertilizer preparation, quality improvement and soil improvement by using a chlorophyll nitrogen dynamic monitoring (SPAD value) instrument, a phosphorus online detector and a potassium online detector, which uses a double cultivation and propagation method of mycorrhizal fungus hypha secretion of sphaerocystin, activates plant related gene pathways, improves the quality of crops such as food, vegetables, tobacco leaves and Chinese herbal medicines, and the drought resistance, cold resistance and disease resistance of the crops, forms soil aggregates, increases soil porosity, effectively relieves compaction, and reduces the use amount of chemical fertilizer by 60-80% and pesticide by 70-90%.

The invention discloses an industrial circulating water algal inhibition process for in-situ generation of hydroxyl radicals, and relates to the technical field of industrial circulating water algal inhibition, a fluid kinetic energy and waste heat coordinated energy recovery unit is arranged on a water flow channel of an industrial circulating water system, and the fluid kinetic energy of circulating water is converted into electric energy; a tubular catalytic reactor is constructed, a composite catalytic electrode assembly containing a cathode and an anode is arranged in the tubular catalytic reactor, and an ultra-fine bubble generator is arranged at the water inlet end of the tubular catalytic reactor or in the reactor in series. Electric energy is converted through fluid kinetic energy of industrial circulating water, and external power grid high-grade electric energy does not need to be additionally relied on. Hydroxyl radicals are generated in situ in circulating water, and the hydroxyl radicals are high in oxidation activity, can continuously act on algae cells and are free of treatment blind areas; algae cell walls, chlorophyll and genetic materials can be effectively damaged, and algae are prevented from generating drug resistance; and the hydroxyl free radicals are rapidly quenched after reaction, no harmful by-product residue is left, and the algal inhibition effect and the environmental protection property are both considered.

The application focuses on the field of agricultural informatization and remote sensing application technology, and particularly relates to a kind of alfalfa yield estimation method based on multispectral and physical constraint sample enhancement. The method first acquires unmanned aerial vehicle multispectral image data corresponding to the alfalfa growth period, and lays out field quadrats with equal area in the image coverage area, collects measured data of alfalfa hay yield, leaf area index, chlorophyll content and leaf equivalent water thickness, and constructs an initial sample set. Then, input each parameter data within a reasonable range, generate predicted multispectral samples that meet the physical consistency constraint using the radiation transfer model, to expand the sample space. The measured samples and predicted samples are fused to construct an alfalfa hay yield estimation training data set. Based on the training data set, a mapping model between unmanned aerial vehicle multispectral features and alfalfa hay yield is established, and the alfalfa hay yield is estimated through machine learning.

The invention discloses a fishery enhancement and release operation monitoring method and system based on unmanned aerial vehicle cluster collaboration, and the method comprises the steps: dividing a plurality of monitoring regions according to a target water area, obtaining the high-definition image and multispectral data of each region through unmanned aerial vehicle cluster collaboration, and carrying out the secondary collaboration collection and correction of a fuzzy image; analyzing indexes such as water transparency based on the high-definition image to generate a first environment index, and analyzing parameters such as chlorophyll based on the multispectral data to generate a second environment index; weighting the environment index to obtain an environment estimation value, determining a multi-path migration area, and introducing a Dijkstra algorithm to analyze an environment moderate migration direction and a migration index; and setting a release quantity according to the migration condition, and generating a release planning scheme. The method solves the problems of low monitoring efficiency, one-sided cultivation release evaluation and the like in the traditional technology, improves the release scientificity and efficiency, and is suitable for a multi-water-area scene.

The invention provides a wild barley phytoene dehydrogenase gene HbPDS, a specific fragment and application of the wild barley phytoene dehydrogenase gene HbPDS. The HbPDS gene specific fragment and the recombinant virus vector pTRV2-HbPDS are constructed, a wild barley HbPDS gene VIGS silencing system is established for the first time, the phytoene dehydrogenase gene HbPDS of the wild barley can be silenced, synthesis of carotenoid of the wild barley is blocked, and the phenomena of chlorophyll fading, leaf color whitening and the like of the wild barley are caused.

The invention discloses an intelligent control system for intelligent agricultural data acquisition based on a block chain. The system comprises a data acquisition sensing module, a soil moisture content meteorological coupling calculation module, a crop chlorophyll inversion analysis module, a star-ring agricultural big data TDH storage processing module, an intelligent contract execution control module and a block chain data chaining verification module. The system obtains farmland multi-dimensional data through the data acquisition sensing module, and after the farmland multi-dimensional data is stored and processed by the star-ring agricultural big data TDH storage processing module, a soil moisture content change value and a crop chlorophyll content value are calculated by the soil moisture content meteorological coupling calculation module and the crop chlorophyll inversion analysis module respectively; the intelligent contract execution control module generates an equipment control instruction in combination with the result; and the block chain data uplink verification module verifies the data of each link and then writes the data into the block chain. According to the system, full-process coordination of data acquisition, analysis, storage, control and verification is realized, and data reliability and accurate control are guaranteed.

The invention relates to a modified covalent organic framework (COF) photocatalyst (SNW-1 (at) CuS-D and SNW-1 (at) CuS-S. SNW-1 is loaded on the surface of the CuS photocatalyst through an electrostatic adsorption method, so that the SNW-1 (at) CuS-D photocatalyst is synthesized; sNW-1 is loaded on the surface of the CuS photocatalyst through a hydrothermal method, so that the SNW-1 coated CuS-S photocatalyst is synthesized. Meanwhile, the two composite materials are used for inhibition experiment research on green tide algae-enteromorpha under visible light. When the doping amount of the two composite material photocatalysts is 0.15 g / L, the composite material photocatalysts have an effective inhibition effect on enteromorpha. After 120 hours of experimental treatment, the inactivation rate of the enteromorpha microcosmic propagules reaches 70%; after 144 hours of treatment, the relative growth rate of the three-week-old enteromorpha seedlings is reduced to 0.011. Meanwhile, chlorophyll a is reduced to the minimum and is 257.84 mu g / g FW, the content of MDA is increased to 206.2 nmol / g FW, meanwhile, the content of various antioxidant enzymes is increased firstly and then reduced in the photocatalysis process, and an antioxidant system is damaged. The material provides a reference idea for COF modification and enteromorpha green tide treatment.

The present application relates to the technical field of soybean field amaranth resistance identification, and discloses a soybean field amaranth indoor resistance identification method.The method comprises the following steps: performing composite time sequence breaking sleep pretreatment on amaranth seeds collected from a soybean field; cultivating the pretreated seeds to the 2-4 leaf stage according to standardized parameters and screening uniform seedlings; performing gradient dose herbicide treatment on the seedlings and setting a sensitive control; calculating GR 50 values by combining images with NDVI chlorophyll spectrum, and synchronously detecting resistance related indexes; calculating corrected resistance indexes by combining correction coefficients, and outputting identification results and resistance types according to customized standards.The present application is standard in operation, lossless and efficient, can accurately determine the resistance grade and type of amaranth, and provides technical support for soybean field amaranth resistance prevention and control.

The invention relates to the technical field of image processing, in particular to a plankton image enhancement method based on a deep learning model. The method comprises the following steps: acquiring an original image of plankton to be enhanced; analyzing the original image through a deep learning model, and extracting plankton shell grains and flagellum to form periodic texture space arrangement characteristics and spectral absorption characteristics of a chlorophyll-dominated pigment region; and positioning a texture dense region based on the texture space arrangement features, performing pixel-by-pixel phase alignment calibration on the texture dense region, and optimizing the texture features of the texture dense region through feature superposition to form a texture optimization region. Through the deep learning model and the image processing enhancement technology, accurate optimization of the plankton image texture features and natural restoration of the color attributes are realized, so that the detail identification degree, the color authenticity and the overall integrity of the plankton image are improved.

The invention relates to the technical field of lake eutrophication monitoring, in particular to a lake pigment concentration remote sensing estimation method, which comprises the following steps: firstly, acquiring remote sensing reflectivity data of a target water body, extracting reflectivity values of at least four characteristic wavebands 665nm, 710nm, 620nm and 750nm related to pigment absorption and fluorescence characteristics, and estimating water body absorption coefficients of at least two pigment sensitive wavebands; on the basis, a four-waveband combination index UMEP is constructed and is transformed according to a water body radiation transmission biological optical model, and the influence of environmental parameters is eliminated. By introducing a dynamic decomposition factor beta and an absorption coefficient difference epsilon, a mixed pigment absorption signal is decomposed into independent contributions of chlorophyll a and phycocyanin, and finally the concentrations of chlorophyll a and phycocyanin are calculated by using respective specific absorption coefficients. The method is clear in physical mechanism, can adapt to changes of optical characteristics of the water body, can be directly applied to multi-source satellite remote sensing images, and achieves synchronous and high-precision business inversion of the concentrations of the two key pigments in the lake water body in a large range.

The application discloses a transcription factor AbHY5 for regulating the formation of colorful leaf color of Guzmania lingulata and application thereof. The application clones a light signal transcription factor AbHY5 from Guzmania lingulata, and the expression of the transcription factor has obvious tissue specificity and is specifically expressed in petals and red leaves. Research shows that the AbHY5 promoter responds to light induction, the expression level of AbHY5 significantly decreases under dark conditions, and the expression of AbHY5 has extremely significant positive correlation with the content of anthocyanin, flavonoids, sucrose and starch. Further research by transgenic technology shows that overexpression of AbHY5 significantly promotes the synthesis of pigments and flavonoids of the transgenic plant, the accumulation of endogenous sucrose and starch and the balance of ROS in the leaves, can increase the content of flavonoids, chlorophyll a, anthocyanin and carotenoids, and improve the photosynthetic rate of the plant leaves, thereby providing support for cultivating new Guzmania varieties with colorful leaves.

This invention relates to the field of agricultural technology, specifically to a plant chlorophyll aphytase CDE1 and its applications. The nucleotide sequence of the plant chlorophyll aphytase CDE1 is shown in SEQ ID NO.1. Overexpression of the plant chlorophyll aphytase CDE1 provided by this invention can improve plant photosynthetic efficiency. Overexpressed CDE1 significantly increases the biomass of Arabidopsis thaliana and can be used to construct high-photometric plants in high-light environments. CDE1, as a chlorophyll aphytase, is highly conserved in higher plants. Research results in Arabidopsis thaliana can be applied to crops such as rice and corn, as well as other fruits and vegetables, and have potential application value for increasing grain yield and enhancing plant stress resistance.

The application discloses a cultivation method of apocynum venetum and a special growth aid. After the apocynum venetum grows to a height of 10-30 cm, water is poured 3-4 times per month, and once fertilization is selected in the 3-4 times of water pouring per month; 5-12 Kg of urea and 3-5 Kg of potassium dihydrogen phosphate are applied per mu each time, and the growth aid is applied once 2-4 days after the water pouring and fertilization, and is sprayed on the apocynum venetum plants; the growth aid comprises the following substances: 0.5-1 parts by weight of naphthalene acetic acid, 2-3 parts by weight of fulvic acid, 2-3 parts by weight of titanium dioxide and 1-2 parts by weight of seaweed extract; the growth aid is diluted by 300-500 times for spraying, and 20-70 Kg is applied per mu. The application has the advantages that not only can apocynum venetum leaves with higher chlorophyll and effective component contents and better quality be obtained, but also the adhesion degree of the apocynum venetum skin and the apocynum venetum bone can be effectively reduced, so that the apocynum venetum skin can be easily peeled from the apocynum venetum stem, the peeling difficulty of the apocynum venetum is effectively reduced, the utilization rate of the apocynum venetum skin is improved, and the economic benefits of large-scale planting of the apocynum venetum are greatly improved.

The invention provides a microalgae carbon sequestration efficiency improving device with built-in optical fiber bundle-quantum dot light guide, and belongs to the field of biological carbon sequestration. A traditional external light source irradiates a microalgae photobioreactor through a spatial light path, and the problems that light cannot penetrate into algae liquid, and the wavelength is limited by the light source exist. According to the invention, the optical fiber bundle protected by the transparent light guide tube is placed in the microalgae photoreactor for light guide, so that the illumination depth is prolonged, and the illumination area is increased. In addition, a quantum dot solution can be introduced into the light guide tube, and light with a proper wavelength is introduced through the optical fiber to irradiate the quantum dot solution to pump and emit light. The quantum dot has the characteristics of wide absorption spectrum and narrow emission spectrum, can capture ultraviolet-blue-violet light which is difficult to utilize by microalgae chlorophyll, and emits light with new wavelength through fluorescence resonance energy transfer to irradiate microalgae. The built-in optical fiber bundle-quantum dot solution is introduced to guide light and emit light, so that the illumination depth of algae liquid can be prolonged, the illumination area can be increased, the microalgae carbon sequestration efficiency and the biomass yield can be improved, the wavelength can be regulated and controlled based on the fluorescence resonance energy transfer characteristic of quantum dots, the illumination requirements of different types of microalgae can be accurately matched, and the application prospect is wide. And the device adaptation range is expanded.

The invention discloses an algae-strengthening, water-culturing and bottom-purifying compound preparation for aquaculture as well as a preparation method and application thereof, and belongs to the technical field of aquaculture regulation and control. According to the invention, the bean pulp powder is taken as a raw material, and the photosynthetic promoter prepared through a specific hydrothermal reaction can convert ultraviolet light which cannot be effectively utilized by plants and is less than 400nm into blue light which can be efficiently utilized and is 400-500nm, so that the light energy utilization spectrum of photosynthesis is directly widened, the absorption efficiency of chlorophyll a and chlorophyll b is improved, and the photosynthesis of algae and aquatic plants is enhanced. On the basis of the photosynthetic promoter, the algae-strengthening, water-culturing and bottom-purifying composite preparation further developed has the functions of chemical remediation and biological regulation and control, the ratio of diatom to green algae can be increased, and blue-green algae can be inhibited; the molting synchronism, the shell hardening speed and the survival rate of the crayfish are enhanced; and finally, systematic repair and long-acting stability of the aquaculture environment are realized.

The invention relates to the technical field of crop rotation cultivation, in particular to a gramineous and leguminous crop rotation cultivation mode which comprises the following steps: in a first cultivation crop rotation period, sowing pretreated leguminous crop seeds in a field in the first year, and naturally scattering the leguminous crop seeds in a mature period to a soil surface layer to form a soil seed bank; sowing gramineous crops in the field in the second year, and judging whether the cultivation of the gramineous crops meets a preset standard or not according to the average value of the relative content of chlorophyll; continuously planting the gramineous crops in the field from the third year to the fourth year, stopping sowing, and harvesting after the gramineous crops are mature; in the first year of the second cultivation rotation cycle, when the leguminous seeds germinate to a seedling stage, shallow ploughing is performed on the field when it is judged that the cultivation of the leguminous crops does not meet the preset standard according to the germination characterization values of the leguminous crops; and harvesting after the leguminous crops which are cultivated and accord with the preset standard are mature. The crop rotation cultivation efficiency is improved.

The invention discloses a ZmSPL19 gene and application thereof in regulation and control of nitrogen utilization efficiency, and belongs to the field of plant biotechnology breeding. According to the corn ZmSPL19 gene provided by the invention, after the endogenous gene generates function loss mutation in a plant or the expression of the ZmSPL19 gene is inhibited, an excellent phenotype with improved nitrogen utilization efficiency can be obtained; the improvement of the nitrogen utilization efficiency includes that the growth of main roots is fast, or any characteristic of biomass, spike position leaf nitrogen content, chlorophyll relative content and net photosynthetic rate is improved, or any character of female spike length, grain number, spike weight and single-plant grain yield is remarkably increased. The ZmSPL19 gene as well as the function loss mutant resource and the application method thereof can be used for effectively culturing high-nitrogen-efficiency and high-yield corn varieties, and has a wide application prospect in the field of corn biotechnology breeding.

This invention provides a wild barley phytoene dehydrogenase gene. HbPDS Specific fragments and applications. A [structure / system] was constructed. HbPDS Gene-specific fragments, recombinant viral vector pTRV2-HbPDS, and the first establishment of wild barley HbPDS The VIGS gene silencing system can silence the wild barley phytoene dehydrogenase gene. HbPDS This inhibits the synthesis of carotenoids in wild barley, leading to phenomena such as chlorophyll fading and whitening of leaves.