31 results about "Nitrogen deficiency" patented technology

The invention discloses a regional scale crop nitrogen dynamic regulation and control method and device. The method comprises the following steps of obtaining multi-source data and constructing a space-time database; selecting a crop growth model, and calibrating and verifying the crop growth model based on the space-time database to obtain the crop growth model and generate a localized model parameter set; dividing a target area into space units, inputting soil data, meteorological data and a localized model parameter set of each space unit to a crop growth model, simulating crop growth processes of different nitrogen gradients, extracting optimal biomass and critical nitrogen concentration data point pairs of each space unit, and performing fitting to generate a spatialized pCNDC parameter map layer; inverting an actual biomass and nitrogen concentration spatial distribution map based on remote sensing data, calculating critical nitrogen concentration and nitrogen nutrition index of each spatial unit in combination with a pCNDC parameter map layer, and generating a spatial distribution map; when the nitrogen nutrition index is lower than a preset threshold value, the nitrogen deficiency amount is calculated, and a variable fertilization prescription map is generated.

The invention relates to the technical field of precision agriculture and grape cultivation, and discloses a vineyard fertilization method based on unmanned aerial vehicle multi-source remote sensing data, and the method comprises the steps: obtaining a canopy multi-spectral image and three-dimensional structure data through an unmanned aerial vehicle; carrying out image preprocessing and finely extracting a grape canopy region; fusing the extracted spectral vegetation index, texture features and three-dimensional structure features, and constructing a multi-source feature vector; constructing and optimizing a nitrogen nutrition inversion model through a machine learning algorithm by utilizing actually measured nitrogen nutrition parameters; generating a nitrogen content distribution diagram based on a model inversion result, calculating the nitrogen deficiency amount and the recommended dressing pure nitrogen amount of each space unit in combination with critical nitrogen concentration diagnosis and target yield, and converting the nitrogen deficiency amount and the recommended dressing pure nitrogen amount into the use amount of a foliage spraying working solution; and generating a variable fertilization prescription map, and converting the variable fertilization prescription map into a nozzle flow control instruction executable by the unmanned aerial vehicle to realize on-demand accurate variable fertilization. According to the invention, closed-loop management from nitrogen nutrition monitoring to variable rate fertilization is realized, and the nitrogen fertilizer utilization efficiency and the fertilization accuracy are improved.

The invention discloses application of an FYVE4 gene in improving nitrogen deficiency nutrition stress tolerance of plants. Belongs to the technical field of plant genetic engineering. The invention provides nucleotide and corresponding amino acid sequences and specific application thereof. The invention proves for the first time that the arabidopsis thaliana gene AtFYVE4 regulates the nitrogen deficiency stress response of the plant through an autophagy way. It is found that the arabidopsis thaliana nitrogen deficiency nutrition stress regulation related gene regulates the autophagy activity of arabidopsis thaliana through interaction with the autophagy protein AtATG1C, and then regulates the tolerance of plants to nitrogen deficiency nutrition stress. The application of the AtFYVE4 gene can provide support for drought resistance research of grain crops such as corn, rice, wheat and the like and other crops.

The application provides a gene for improving nitrogen utilization efficiency of wheat under nitrogen deficiency conditions and application thereof, and belongs to the technical field of biological agriculture. The gene erf related to the nitrogen deficiency tolerance trait is obtained through normal nitrogen and nitrogen deficiency stress treatment of natural wheat varieties in the world and whole genome association analysis and verification. The erf gene not only responds to the up-regulated expression under the nitrogen deficiency stress of wheat, but also promotes the growth and nitrogen accumulation of wheat under the nitrogen deficiency conditions through a negative adjustment mode, so as to improve the nitrogen utilization efficiency of wheat. The erf gene provided by the application can effectively regulate the growth and nitrogen utilization of wheat under the nitrogen deficiency conditions, provides a new strategy for the construction and breeding of wheat varieties with nitrogen deficiency tolerance, and provides an effective site for the detection and variety identification of the wheat environment under the nitrogen deficiency.

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 biology, in particular to an OsYABBY4 gene for regulating and controlling nitrogen deficiency stress resistance of rice and application of the OsYABBY4 gene. The nucleotide sequence of the OsYABBY4 gene is as shown in SEQ ID NO. 1, and the amino acid sequence of the protein coded by the OsYABBY4 gene is as shown in SEQ ID NO. 2. The OsYABBY4 gene is over-expressed in rice, so that the nitrogen deficiency stress resistance of the rice can be improved, the growth of the rice under the nitrogen deficiency stress condition is promoted, and the plant height and the grain weight of a single plant of the rice are increased. It is shown that the OsYABBY4 gene has the function of regulating the stress tolerance and yield-related traits of the plants, and a foundation is laid for improvement of the growth characteristics of the rice.

This invention provides a wheat Fd gene and its application in regulating nitrogen use efficiency in wheat under nitrogen deficiency conditions, belonging to the field of bio-agricultural technology. This invention screened 284 wheat varieties for nitrogen deficiency stress treatment to obtain the Fd gene associated with nitrogen deficiency tolerance. The Fd gene not only exhibits downregulated expression in response to nitrogen deficiency stress in wheat, but also promotes wheat growth and nitrogen accumulation under nitrogen deficiency conditions through negative adjustment, thereby improving wheat nitrogen use efficiency. The Fd gene provided by this invention can effectively regulate wheat growth and nitrogen use under nitrogen deficiency conditions, providing a new strategy for the construction and breeding of nitrogen-tolerant wheat varieties, and also providing an effective site for the detection and variety identification of nitrogen-deficient wheat environments.

The present application belongs to the field of microalgae biotechnology, microalgae culture regulation and high-value lipid bio-manufacturing, and specifically relates to a method for improving microalgae biomass and eicosapentaenoic acid (EPA) yield by regulating amino acids, which takes microalgae capable of synthesizing EPA as a culture object, adds exogenous amino acids or amino acid combinations to the culture system under non-stress culture conditions containing sufficient inorganic nitrogen source, regulates photosynthesis, growth metabolism and lipid synthesis process of the microalgae, and simultaneously improves microalgae biomass and EPA volumetric yield; by adding specific exogenous amino acids or amino acid combinations under the condition of sufficient nutrition culture, the present application realizes synchronous promotion of microalgae growth and EPA accumulation. Different from traditional methods of relying on stress such as nitrogen deficiency to induce lipid accumulation, the present application can improve microalgae biomass, photosynthetic performance, pigment yield and EPA volumetric yield without significantly inhibiting cell growth and photosynthetic activity.

This invention provides a gene, HD-Zip, for determining nitrogen tolerance in wheat under nitrogen deficiency conditions and its application, belonging to the field of bio-agricultural technology. This invention, through genome-wide association analysis and validation using natural wheat varieties from around the world under normal and nitrogen deficiency stress conditions, identified the gene HD-Zip, associated with nitrogen deficiency tolerance. The HD-Zip gene shows downregulated expression in response to nitrogen deficiency stress in wheat. The HD-Zip gene provided by this invention can be used to distinguish between nitrogen-tolerant and nitrogen-sensitive wheat varieties, screen for nitrogen-tolerant wheat varieties, and assess nitrogen content in soils where wheat is grown.

The invention relates to the technical field of agricultural data processing, in particular to a forest and fruit planting guidance information pushing method and system based on a mobile terminal, and the method comprises the following steps: calling the mobile terminal to collect a leaf image sequence, calculating a brightness variance value, screening an effective image, converting a color space, separating a brightness channel, and calculating a texture entropy value and a gray statistical feature. Veins and mesophyll regions are segmented and extracted, the average gray difference value and the change slope in the growth direction of the main veins are calculated, a feature vector is constructed, the Euclidean distance between the feature vector and a standard healthy plant is calculated, the feature vector is mapped to the nitrogen deficiency level, and fertilization guidance information is generated and pushed. According to the method, by guaranteeing the quality of the data source, accurately calculating the texture entropy and the gray features and quantitatively analyzing the color difference and the change trend, accurate mapping of the nitrogen deficiency level is achieved, agricultural management instantaneity is guaranteed, and rapid nondestructive diagnosis and refined guidance of the plant nutrition status are achieved.

The invention provides application of an OsXYLPI9 gene in the aspects of the ammonia absorption rate and grain growth and development of rice, the nucleotide sequence of the OsXYLP19 gene is shown as SEQIDNO.1, under the condition of compound stress of salt stress and nitrogen deficiency, the ammonia absorption rate of a mutant osxylp19 plant of the OsXYLP19 gene is higher than that of a wild plant, and the OsXYLPI9 gene can be applied to the growth and development of grains. Namely, the nitrogen absorption capacity of the rice under the combined conditions of salt stress and nitrogen deficiency is negatively regulated by the OsXYLPI9. Field experiments show that the grain length of the osxyp19 mutant is significantly increased, which indicates that the OsXYLP19 gene has the function of regulating and controlling the rice grain length and is expected to be used for improving the rice yield.

The application discloses a regional scale crop nitrogen dynamic regulation method and equipment, comprising the following steps: acquiring multi-source data and constructing a time-space database; selecting a crop growth model, calibrating and verifying the crop growth model based on the time-space database, obtaining the crop growth model and generating a localized model parameter set; dividing a target region into spatial units, inputting soil data, meteorological data and the localized model parameter set of each spatial unit into the crop growth model, simulating the crop growth process under different nitrogen gradients, extracting optimal biomass and critical nitrogen concentration data point pairs of each spatial unit, fitting and generating a spatialized pCNDC parameter layer; based on remote sensing data, inversing actual biomass and nitrogen concentration spatial distribution maps, combining the pCNDC parameter layer to calculate the critical nitrogen concentration and nitrogen nutrition index of each spatial unit and generate spatial distribution maps; when the nitrogen nutrition index is lower than a preset threshold, calculating nitrogen deficiency and generating a variable fertilization prescription map.

The invention discloses a plant protection unmanned aerial vehicle real-time variable fertilization control system and a control method, and relates to the technical field of agricultural intelligence and precise fertilization, in particular to the technical field of fertilization based on a plant protection unmanned aerial vehicle. The problems that an unmanned aerial vehicle is poor in real-time performance, insufficient in automation degree and low in fertilizer utilization rate in the nitrogen diagnosis and fertilization control process of rice are solved. A crop canopy sensor fixed at the front end or the bottom of the plant protection unmanned aerial vehicle is adopted in the control system to collect spectrum or image data of rice canopies in the flight process; and processing the spectrum or image data to obtain a fertilization instruction for controlling the variable fertilization execution device to carry out partitioned variable fertilization. According to the control mode disclosed by the invention, data is acquired based on crop canopy sensing, and real-time nitrogen deficiency judgment is matched, so that the control of partitioned variable-rate fertilization is realized, the nitrogen fertilizer utilization efficiency is effectively improved, the fertilizer waste is reduced, and the resource utilization rate is improved. The method is suitable for the field of agricultural machinery equipment control and crop nutrition monitoring application.

The present application relates to the technical field of agricultural data processing, in particular to a kind of forest planting guidance information pushing method and system based on mobile terminal, comprising the following steps: calling mobile terminal to collect leaf image sequence, calculating luminance variance value to filter effective image, converting color space to separate brightness channel, calculating texture entropy value and gray statistical characteristics, segmenting and extracting vein and mesophyll region, calculating average gray difference value and the change slope along the growth direction of main vein, construct feature vector and calculate the Euclidean distance with standard healthy plant, mapping to nitrogen deficiency grade to generate fertilization guidance information and push.The present application, by guaranteeing data source quality, accurately calculating texture entropy value and gray characteristics, quantitative analysis of color difference and trend, realize the accurate mapping of nitrogen deficiency grade, ensure the instantaneity of agricultural management, realize the rapid nondestructive diagnosis and refinement guidance of plant nutrition status.

The invention discloses an OsSCL7 gene and application thereof in improving nitrogen utilization efficiency of rice, and belongs to the technical field of plant genetic engineering, and a nucleotide sequence of the OsSCL7 gene is shown as SEQ ID No: 1. With rice ZH11 as the background, it is found that rice with the OsSCL7 gene overexpressed is higher than wild type rice ZH11 in plant height under the nitrogen deficiency condition, and meanwhile the ammoniacal nitrogen content, the nitrate nitrogen content, the nitrate reductase enzyme activity and the glutamine synthetase enzyme activity are all remarkably higher than those of the wild type rice ZH11. Therefore, the OsSCL7 gene can participate in regulation and control of nitrogen utilization of rice, is of great significance to nitrogen fertilizer application reduction, rice agricultural production cost reduction and agricultural sustainable development, and provides an important gene resource for cultivation of rice varieties with nitrogen deficiency stress resistance.

This invention relates to the field of microbiology, and more particularly to Bacillus, microbial agents, and their applications. This invention provides a Bacillus sp. strain with accession number CGMCC No. 36427. This invention provides a high-yield cellulase strain of Bacillus sp. and a method for rapid straw decomposition and return to the field compatible with field operations. By directionally enhancing the degradation efficiency of cellulose / hemicellulose through Bacillus sp., and combining nitrogen supplementation and water management, this method shortens the decomposition cycle while reducing the risk of nitrogen deficiency and seedling burn during return to the field, thereby improving crop emergence and root growth.

The utility model belongs to the technical field of electrical automation control, and particularly relates to an electrical control system of a modular membrane separation nitrogen drying machine, which comprises a remote controller, the remote controller is associated with a material level detector, the material level detector is associated with a heater protection switch, and the heater protection switch is connected with the remote controller. The heater protection switch is connected with the nitrogen concentration instrument detection device, the nitrogen concentration instrument detection device is connected with the temperature detection device, and the remote control device is connected with the forming machine supply detection device through the main control board. The nitrogen concentration meter is provided with the LED alarm lamp and the buzzer, the nitrogen concentration meter can display corresponding data and output alarm signals once the nitrogen is insufficient, alarm information is sent out through the LED alarm lamp, operation of the modular membrane separation nitrogen drying machine is maintained in time, and therefore the drying quality of raw materials is guaranteed.

The invention belongs to the technical field of gene engineering, and particularly relates to application of PagGT43B protein in regulating aspen to adapt to nitrogen deficiency. The amino acid sequence of the PagGT43B protein is as shown in SEQ ID NO. 1, and the nucleotide sequence of the coding gene of the PagGT43B protein is as shown in SEQ ID NO. 2. Tests prove that under the low-nitrogen condition, overexpression of the PagGT43B gene can promote biosynthesis of xylan and increase the thickness of fiber cell walls, so that the adaptability of the poplar to the low-nitrogen environment is improved.

本申请公开了一种基于低空多模态数据的水稻水氮亏缺分离诊断方法及装置，涉及智慧农业监测与农业遥感技术领域，该方法：获取待测区水稻生长参数、冠层多模态数据和环境参数；预处理冠层多模态数据，得到植被指数与作物水分胁迫指数；用C‑Vine Copula函数约束多维生理参数联合分布，耦合ORYZA V3与SCOPE模型构建仿真基准数据集；计算水分胁迫后验概率；超阈值则以水分胁迫为协变量剔除其对光谱干扰，再算氮素胁迫后验概率，未超阈值则直接基于植被指数计算；依据两类后验概率判定胁迫等级；再反演土壤含水率与氮营养指数，结合生育期适宜指标计算出水分、氮素亏缺量。可实现精准、少田间破坏性采样的水氮亏缺分离诊断。

The application belongs to the technical field of genetic engineering, and particularly relates to application of a PagMYB057 protein in regulating nitrogen deficiency adaptation of poplar. The amino acid sequence of the PagMYB057 protein is shown as SEQ ID NO. 1, and the nucleotide sequence of the coding gene is shown as SEQ ID NO. 2. The application proves through experiments that under low nitrogen conditions, PagMYB057 Gene overexpression can promote xylan biosynthesis, increase fiber cell wall thickness, and thus improve the adaptability of silver gland poplar to a low nitrogen environment.

The present application relates to the field of agricultural data analysis, and more particularly to a method for analyzing the effect of straw returning to field in combination with soil nutrients and crop yield, which comprises: collecting a multi-source feature data matrix for risk assessment; obtaining a static nitrogen deficiency risk amplification factor by jointly analyzing crop yield data and soil attribute data; obtaining a dynamic growth response asymmetric adjustment factor by performing difference analysis on vegetation index data, yield data and cluster centroid; obtaining a risk perception asymmetric distance measure based on yield data by fusing and evaluating the static nitrogen deficiency risk amplification factor and the dynamic growth response asymmetric adjustment factor; and obtaining optimal management zoning results for variable fertilization strategy formulation by partition optimization of the clustering process of the risk perception asymmetric distance measure based on yield data, so as to reduce the nitrogen deficiency risk of crops in the seedling stage, improve the nutrient utilization efficiency and yield stability.

The invention discloses application of a nitrogen response gene LAO1 in regulation and control of plant growth. And the amino acid sequence of the protein LAO1 is as shown in SEQ ID No.3. Experiments prove that the deletion of the LAO1 gene in the chlamydomonas genome can enable the chlamydomonas to be more suitable for a nitrogen-deficient environment, so that the growth rate and biomass of the chlamydomonas are improved, and the LAO1 gene can be used for improving the yield of products such as starch and triacylglycerol of the chlamydomonas under the nitrogen-deficient condition in practical application. The method has an important application prospect.

The invention discloses an OsGATA1 gene and application thereof in improving nitrogen utilization efficiency of rice, and belongs to the technical field of plant genetic engineering, and a nucleotide sequence of the OsGATA1 gene is shown as SEQ ID No: 1. By taking rice ZH11 as the background, the mutant rice with the OsGATA1 gene knocked out has a better growth trend compared with the wild rice ZH11 under the nitrogen deficiency condition, and the rice with the OsGATA1 gene overexpressed has no significant change compared with the wild rice ZH11. Therefore, the OsGATA1 gene can participate in negative regulation and control of nitrogen utilization of rice, has important significance on nitrogen fertilizer application reduction, reduction of agricultural production cost of rice and agricultural sustainable development, and provides an important gene resource for cultivation of rice varieties with nitrogen deficiency stress resistance.

The invention belongs to the technical field of gene engineering, and particularly relates to application of PagMYB057 protein in regulating aspen to adapt to nitrogen deficiency. The amino acid sequence of the PagMYB057 protein is as shown in SEQ ID NO. 1, and the nucleotide sequence of the coding gene of the PagMYB057 protein is as shown in SEQ ID NO. 2. Tests prove that under the low-nitrogen condition, overexpression of the PagMYB057 gene can promote biosynthesis of xylan and increase the thickness of fiber cell walls, so that the adaptability of the poplar to the low-nitrogen environment is improved.

The invention discloses a method for improving the fermentation level of microalgae astaxanthin through plant hormone pretreatment, and belongs to the technical field of microalgae biology. According to the method, firstly, under the dark condition, two plant hormones including brassinolide and cytokinin are utilized to conduct pretreatment on a Chromococcus zoffii seed solution so as to increase the number of plastids, and then through shake-flask culture and fermentation tank fed-batch fermentation, it is proved that the strategy can promote accumulation of astaxanthin of Chromococcus zoffii under the nitrogen deficiency condition. The appropriate concentrations of the two plant hormones are both low, high light stress is not needed, the step operation is simple and convenient, and the production cost is reduced.

The invention provides a device and a method for improving microalgae protein content by agricultural wastewater culture, the device comprises a wastewater treatment assembly, a microalgae culture assembly, a microalgae collection assembly and a connection assembly, the wastewater treatment device pretreats wastewater through graded filtration and adsorption, and the microalgae culture device uses a spherical culture bottle, a honeycomb assembly and a light guide path to regulate and control the environment. The collecting device collects microalgae through the flusher and the filter membrane, and the connecting assembly realizes device linkage; due to the design of the light guide path, the light intensity in the microalgae culture device is consistent, and the light guide path is combined with the honeycomb microalgae culture assembly, so that the generation of active oxygen is reduced. Through nitrogen-deficient and nitrogen-rich culture and in combination with plant hormone regulation, the protein content of the microalgae is increased. According to the method, the removal rates of four key water quality indexes such as total nitrogen, total phosphorus and COD in the agricultural wastewater all exceed 80%, the protein content of the microalgae is increased, the microalgae can be used as energy or feed, and the purposes of waste recycling and low carbon are achieved.

The application belongs to the technical field of intelligent agriculture and crop nutrition monitoring, and particularly relates to a rice key growth period nitrogen nutrition image recognition method based on machine learning, which comprises the following steps: acquiring images through multiple perspectives and performing color correction preprocessing; constructing a time sequence neural network to recognize the growth period and adapt to physiological criteria; utilizing three-dimensional reconstruction fusion to extract biomechanical morphology and vertical nutrient gradient characteristics; constructing a physical information neural network model constrained by agronomic mechanisms; and performing cross-species adaptive calibration. The application can sensitively capture early signals at the base, realize nitrogen deficiency early warning, and significantly enhance the diagnosis robustness and cross-species generalization ability in complex field environments.

The application discloses a kind of plant rhizosphere nitrogen-fixing microorganism colonization and nitrogen contribution regulation method, belong to biological nitrogen fixation technical field.The application improves plant rhizosphere beneficial nitrogen-fixing microorganism colonization by regulating nitrogen-mediated reactive oxygen species (ROS) production to solve the problem that nitrogen-fixing microorganism colonization is limited under nitrogen deficiency condition, and simultaneously combines engineering modification of ammonium secretion function of nitrogen-fixing microorganism to enhance its nitrogen contribution capacity, improve the biomass and nitrogen content of host plant.The combination of the two synergistically improves the application effect of combined nitrogen-fixing microorganism and provides a feasible solution for saving nitrogen fertilizer application, which provides a new way for nitrogen fertilizer replacement in agricultural production.

The application discloses application of FYVE4 gene in improving nitrogen deficiency stress tolerance of plants, and belongs to the technical field of plant genetic engineering. The nucleotide and corresponding amino acid sequence and specific application of the FYVE4 gene are provided. The application proves for the first time that the Arabidopsis gene AtFYVE4 regulates the function of plant nitrogen deficiency stress response through an autophagy pathway. It is found that the Arabidopsis nitrogen deficiency stress regulation related gene regulates the autophagy activity of Arabidopsis by interacting with the autophagy protein AtATG1C, and then regulates the tolerance of the plant to nitrogen deficiency stress. The application of the AtFYVE4 gene in the application can provide support for drought resistance research of corn, rice, wheat and other food crops and other crops.

The application discloses a farmland-scale corn nitrogen application response monitoring method based on a stacking integrated model and belongs to the technical field of agricultural remote sensing monitoring. The nitrogen fertilizer application response refers to the growth and development and physiological and biochemical changes of corn after nitrogen application and the spatiotemporal differentiation characteristics presented along with the nitrogen application amount and application period. It is a key basis for determining the rationality of nitrogen application and identifying nitrogen surplus and deficiency. The application uses a unmanned aerial vehicle to obtain multispectral images of corn at multiple growth periods, constructs a high-dimensional spectral feature set, obtains nitrogen-sensitive features through a joint strategy, constructs a nitrogen nutrition index and a carbon-nitrogen ratio inversion model based on machine learning, improves the precision based on a stacking integrated model, and realizes spatiotemporal differentiation visualization monitoring and effect grading of the corn nitrogen application response in combination with a nitrogen deficiency model. The method solves the problems of large destruction and insufficient spatiotemporal continuity, accurately and efficiently completes farmland-scale corn dynamic monitoring at the whole growth period, and provides scientific decision support for precision fertilization.