23 results about "Nitrogen fertilization" patented technology

The invention discloses a cotton water and fertilizer management method and system based on ground penetrating radar and unmanned aerial vehicle multispectral fusion integration, a terminal and a storage medium, and the method comprises the steps: obtaining the soil actual measurement water content, cotton leaf actual measurement nitrogen content, soil electromagnetic signals and cotton leaf spectral information of a target cotton field sample, and carrying out the preprocessing; obtaining soil water content inversion characteristics and cotton leaf nitrogen spectral characteristics; performing model training according to the actually measured soil water content and the soil water content inversion characteristics to obtain a target soil water content prediction model; performing model training according to the actually measured nitrogen content of the cotton leaves and the nitrogen spectral characteristics of the cotton leaves to obtain a target nitrogen prediction model; outputting the predicted soil water content and the predicted cotton leaf nitrogen content, and determining the irrigation amount and the nitrogen fertilization amount; and irrigating and fertilizing the target cotton field. According to the invention, the prediction efficiency and accuracy of the soil water content and the cotton leaf nitrogen content in the cotton field can be effectively improved, and precise irrigation and fertilization of the cotton field are realized.

The invention relates to the technical field of agricultural engineering, in particular to a water and fertilizer regulation and control method and system for saline-alkali soil grain-fed crops, and the method comprises the following steps: S1, synchronously obtaining soil salinity concentration, soil moisture content and available nitrogen concentration; s2, calculating a salinity stress index, and dividing stress levels; s3, if the soil moisture content is lower than the preset crop suitable lower limit, the irrigation compensation amount is increased; if the soil moisture content is normal, the pulse irrigation mode is adjusted according to the stress level; s4, the nitrogen fertilizer notch amount is calculated according to comparison between the available nitrogen concentration in the S1 and the nitrogen demand threshold value in the crop growth stage; and S5, dynamically adjusting the fertilizer injection concentration and the irrigation duration in the water and fertilizer integrated application. By monitoring soil parameters in real time and dynamically adjusting water and fertilizer supply, accurate regulation and control of water and fertilizer of saline-alkali soil crops are achieved, the utilization efficiency of the fertilizer is improved, the growth environment of the crops is optimized, and resource waste and environmental pollution are reduced.

The invention discloses an application of a gene OsRNM5 with a Myb structural domain. The cDNA (complementary deoxyribonucleic acid) sequence of the OsRNM5 is SEQ ID NO.1, and the amino acid sequence coded by the OsRNM5 is SEQ ID NO.2. Field yield measurement shows that compared with a wild type WYJ7, the plant height of an OsRNM5 overexpression material is reduced, the yield of a single plant is reduced, and the plant height of an OsRNM5 knockout material is increased, and the yield of the single plant is increased. By knocking out or silencing the OsRNM5 gene in the rice, the nitrogen fertilizer utilization efficiency and yield of the rice can be improved.

This invention discloses a sampling method and application for accurately evaluating the nutrient status of tea trees, and for the first time specifies the sampling time and leaf position for mature leaves and new shoots when evaluating the nutrient status of tea trees. The method involves selecting previous-year-old vegetative branches from the same growth position on the tea tree canopy surface, and topping these branches at the end of January, removing the terminal buds. In mid-to-late February, while the tea trees are still dormant, the first mature leaf at the top of the pruning cut is selected. When the dormant buds sprout and develop to one bud and two leaves, new shoot samples corresponding to the marked mature leaves are taken; mature leaves are not collected at this stage. Validation was conducted in tea gardens with 10-year and 20-year long-term nitrogen fertilization sites and with 2000 population samples. The method of this invention ensures the correlation between the nutrient status of tea trees across years, and shows a highly significant positive correlation between tea garden fertilization levels and tea tree nutrient status; it also ensures a highly significant positive correlation between the amino acid composition of new shoots and fertilization levels, and a highly significant negative correlation between the phenol-amino acid ratio and fertilization levels.

The application discloses a fertilizing method for felling and dwarfing Chinese fir, and belongs to the technical field of fertilizing of forest trees. The application adopts orthogonal test design, fixes nitrogen content, selects different concentrations of phosphorus and potassium two kinds of nutrient elements and gibberellin formula, discusses the influence of different proportions on seed yield and quality of felling and dwarfing Chinese fir with different fruit setting characteristics, and selects a more suitable formula, so that a scientific fertilizing scheme is provided for realizing high yield and stable yield of Chinese fir seed orchard.

The invention relates to the use of ecologically sustainable catalysts not previously applied in the field of agriculture, and to related methods, by means of which a higher rate of atmospheric nitrogen fixation can be achieved and agriculturally advantageous effects can be realized while simultaneously avoiding the harmful effects associated with conventional nitrogen fertilization. More specifically, the invention relates to the novel agricultural application of dissociated vanadium ions possessing redox potential, and to related methods. The method according to the invention is suitable for increasing the yield and biomass of plants, the essence of which lies in applying vanadium to the plant growth medium, to the plant, or to both, in order to enhance the nitrogen-fixing capability of microorganisms capable of fixing atmospheric nitrogen.

This invention relates to methods for increasing yield per acre, harvesting efficiency, and the quality of the fruit produced by Rubus plants, or decreasing water and / or nitrogen use in fruit production in Rubus plants, comprising planting Rubus plants at a high density, wherein the Rubus plants comprise at least one mutation in an endogenous TERMINAL FLOWER (TFL) gene and exhibit a compact density and the ability to be planted at a high density.

The application discloses a yield-increasing planting method for ratooning rice suitable for narrow-band harvesters and relates to the technical field of the integration of agricultural machines and agricultural techniques, and comprises the following steps: selecting a hybrid rice variety with strong regenerative force and lodging resistance; sowing in the middle and late March to avoid high and low temperature stress; adopting a "5 rows+10 rows+5 rows+8 rows" circulating unit wide-narrow row dense planting and reserving a 40cm harvester walkway; implementing head-season nitrogen control and potassium increase, and rear-season nitrogen rear shift, and accurately applying a bud-promoting fertilizer and a seedling-raising fertilizer after the head-season full heading and after harvesting; implementing accurate water management, such as field drying control, heavy field drying before harvesting, and rapid shallow water irrigation after harvesting; comprehensively applying green plant protection technologies, such as deep water pupa killing, physical and chemical induction control and biological prevention and control; and adopting a special harvester to harvest along the reserved walkway in the head season, leaving stubble of 30-35cm, and normally harvesting in the ratooning season. The application realizes the deep integration of agricultural machines and agricultural techniques in the whole process, reduces the head-season machine harvesting and rolling rate to a very low level, significantly improves the yield in the ratooning season, and realizes the annual high yield and stable yield of ratooning rice.

The application discloses a rice OsTMK1 protein or a truncated body thereof and a coding gene in regulation of plant ear grain number and nitrogen utilization efficiency. OsTMK1 The gene can increase the ear grain number of rice after overexpression or function enhancement, and can increase the ear grain number of rice under different nitrogen levels, especially under low nitrogen conditions, so that high yield of rice and high efficient utilization of nitrogen are realized. OsTMK1 The gene has important application value for high yield and high efficient nitrogen breeding of crops.

The invention relates to the technical field of agricultural planting, in particular to a fertilizing method for improving the yield and quality of lettuce. Comprising the following steps: applying a fertilizer to soil to obtain the fertilized soil; lettuce seedlings are transplanted into the fertilized soil, and field management is conducted till lettuce mature bodies are obtained; the fertilizer comprises a biological fertilizer, a nitrogenous fertilizer, a phosphatic fertilizer and a potash fertilizer; the fertilizing amount of the biological fertilizer is 690 kg to 1650 kg per hectare, the content of nitrogen in the biological fertilizer is 12.5% to 13.0%, the content of phosphorus pentoxide is 7.5% to 8.0%, and the content of potassium oxide is 3.5% to 4.0%; in terms of nitrogen element, the fertilizing amount of the nitrogen fertilizer is 90-210 kg per hectare; on the basis of phosphorus pentoxide, the fertilizing amount of the phosphate fertilizer is 470 kg to 550 kg per hectare; on the basis of potassium oxide, the fertilizing amount of the potassium fertilizer is 535-575 kg per hectare. The lettuce cultivated through the method grows robustly, the leaf number, plant height, stem diameter and leaf width are all superior to those of lettuce cultivated through full-amount chemical fertilizer treatment, and the excellent overall growth vigor is shown.

The invention provides a crop nitrogen application decision-making method and system, and the method comprises the steps: obtaining the nitrogen utilization efficiency of crops according to the plant nitrogen absorption amount, the nitrogen application amount and the soil available nitrogen content of the crops; calculating the critical nitrogen concentration according to the aboveground biomass of the crops; obtaining the nitrogen nutrition index of the crop according to the ratio of the actual nitrogen concentration to the critical nitrogen concentration of the plant; inputting the vegetation index, the growth period parameter, the meteorological data, the soil data and the photosynthetic physiological parameter of the plot where the crop is located and the nitrogen nutrition index of the crop into a Voting integrated machine learning model to obtain an inversion NNI spatial distribution diagram; according to the nitrogen nutrition index in the inversion NNI spatial distribution diagram and a preset nitrogen nutrition index threshold value, the required additional fertilization amount of each subarea in the land parcel is obtained. According to the method, multi-source data such as meteorology, soil and vegetation indexes are integrated, and the critical nitrogen concentration model is combined, so that the inversion precision of the nitrogen nutrition index of the crop is remarkably improved.

The application discloses a rice OsTKL2 protein and an application of a coding gene in regulation of plant ear grain number and nitrogen utilization efficiency. The gene OsTKL2 (Transmembrane Kinase Like 2) can increase the ear grain number of rice after overexpression or function enhancement, and can increase the ear grain number of rice under different nitrogen levels, especially under low nitrogen conditions, so that high yield of rice and high efficient utilization of nitrogen are realized. The OsTKL2 gene has important application value for high yield and high efficient nitrogen breeding of crops.

The invention relates to a water and fertilizer integrated whole-process precise fertilization method. According to the method, the whole-growth-period fertilization amount of crops is determined when the economic benefit is maximum on the basis of soil nutrient supply capacity and farmland productivity optimization; the fertilization amount in the single irrigation process is optimized and determined based on the soil nutrient supply capacity and the crop nutrient demand rule; based on the soil nutrient migration rule and the root growth distribution rule, the fertilizer is injected in a staged and variable mode in the irrigation process. According to the invention, through precise management and control of the whole-process fertilization link of water and fertilizer integration in the whole growth period of crops, the nutrient resource consumption can be greatly reduced, and the nutrient utilization efficiency and the economic and ecological benefits are improved. An under-mulch drip irrigation cotton field application example in northern Xinjiang shows that compared with a traditional water and fertilizer integrated fertilization technology, by applying the water and fertilizer integrated whole-process precise fertilization technology, the yield can be increased by 9.6%, the utilization efficiency of the nitrogen fertilizer, the phosphate fertilizer and the potash fertilizer is improved by 37.0%, the residual quantity of the nitrogen fertilizer, the residual quantity of the phosphate fertilizer and the residual quantity of the potash fertilizer in soil are reduced by 50.0%, 34.9% and 18.8% respectively, and the application range is wide. And the method has great large-scale popularization and application value.

The invention discloses an application of an indica rice OsRNU5 gene. The indica rice OsRNU5 gene is applied to improving the nitrogen fertilizer utilization efficiency and yield of rice by regulating and controlling the nitrate nitrogen absorption rate. The difference on the indica rice OsRNU5 gene promoter is one of reasons for causing utilization efficiency and yield of indica rice and japonica rice nitrogen fertilizer, and the indica rice OsRNU5 gene promoter sequence is shown as SEQ ID NO.3. The QTL analysis is carried out on hundreds of replacement line materials carrying IRAT261 single fragments under the background of Huajing indica 74, and the site qRNU5 influencing the nitrate nitrogen absorption rate is positioned. The expression level of the OsRNU5 haplotype gene in indica rice is high, and the nitrate nitrogen absorption rate is high. The excellent allelic variation of the OsRNU5 in the indica rice is introduced into the japonica rice, so that the nitrogen fertilizer utilization efficiency and yield of the japonica rice can be improved.

The invention provides a drip irrigation cotton nitrogen fertilizer demand estimation method based on remote sensing diagnosis. The method comprises the following steps: S1, obtaining a Bayesian critical nitrogen concentration dilution curve; s2, plant nitrogen concentration remote sensing estimation: acquiring cotton growth data, unmanned aerial vehicle remote sensing RGB image data and meteorological data, estimating cotton plant nitrogen content (PNC) under each condition based on a Stacking ensemble learning model, and constructing a cotton plant nitrogen concentration estimation model; s3, nitrogen nutrition status diagnosis: calculating nitrogen accumulation deficiency (NAD) and nitrogen nutrition index (NNI) under different density conditions according to a universal critical nitrogen concentration dilution curve and a cotton plant nitrogen concentration estimation model; s4, dynamically predicting the nitrogen demand; S5, determining a precise nitrogen application scheme in the whole growth period of the cotton under different densities according to the nitrogen demand of the cotton under different density conditions; according to the method, the Bayesian critical nitrogen concentration dilution curve, the remote sensing diagnosis technology and the density effect are organically combined, and an overall solution suitable for precise management of drip irrigation cotton nitrogen under different density conditions is provided.

This invention belongs to the field of crop cultivation technology and provides a smart soil moisture monitoring and micro-sprinkler irrigation method for high-yield wheat cultivation in sandy loam black soil areas. The method includes: S1. Variety selection and seed treatment; S2. Straw return and land preparation; S3. Basal fertilizer application; S4. Sowing; S5. Smart soil moisture monitoring and micro-sprinkler irrigation; S6. Delayed nitrogen fertilization and topdressing at critical stages; S7. Other field management techniques according to local high-yield field methods. By integrating key technologies such as soil moisture monitoring, micro-sprinkler irrigation, and optimized nitrogen fertilizer management, precise water and nitrogen supplementation are applied based on the water deficit in the 0-40 cm soil profile during the key stages of jointing, booting, flowering, and grain filling, aiming to achieve synergistic high wheat yield and efficient water and fertilizer utilization. This invention significantly improves wheat yield in sandy loam black soil areas and has significant practical value.

The application discloses a kind of organic fertilizer light simple precision fertilization method and application, it is related to fertilization technical field, specifically includes: obtaining target plot soil nutrient, historical yield, fertilization record and crop growth image;Estimate available yield and nitrogen fertilizer response index, calculate total nitrogen demand and organic fertilizer replacement ratio, generate basic fertilization amount;Grid sampling and divide nutrition subarea, calculate nutrition deficiency degree;Through image recognition extraction crop growth index, analyze nutrient absorption response rate and lag length;Fertilization response index model is constructed, and hierarchical fertilization recommended dose is dynamically generated;Fuzzy PID algorithm is used to adjust hydraulic motor and proportional solenoid valve, and precision variable fertilization is realized.The application does not need complex soil testing, operation is light and simple, can accurately match crop fertilizer requirement law, improve fertilizer utilization rate, reduce nutrient waste and non-point source pollution, suitable for field and facility crop mechanization intelligent fertilization.

Embodiments relate to a system that generates a crop yield component map for a field. The system determines amounts of nitrogen applied to each portion of the field by a set of nitrogen applicator farming machines. The system accesses crop yield data associated with a crop that was grown in the field. The crop yield data was generated by a set of harvester farming machines that travelled through the field and harvested plant parts of the crop. The system determines, by analyzing the crop yield data, plant part metrics for the harvested plant parts in each field portion. The system generates a crop yield component map that maps, for each field portion, a plant part metric associated with the field portion and an amount of nitrogen applied to the field portion. The component map may then be provided for display.

A system is disclosed. The system includes a controller, wherein the controller includes one or more processors configured to execute program instructions stored in memory, the program instructions configured to cause the one or more processors to: receive information of a natural environment and management practices for a specified area of a field; initiate automated collection of data; determine if there is an approaching nitrogen demand; estimate the current approaching nitrogen demand and recommending a rate of nitrogen application based on the estimated current or approaching nitrogen demand; and calculate at least one nitrogen uptake improvement based on the recommended rate of nitrogen application.

This invention provides OsDIR1 Application of genes in regulating root length and root nitrogen response in rice: A rice Dirigent protein-coding gene was identified. OsDIR1 This gene negatively regulates rice root growth under high nitrogen conditions. When the gene is lost, the mutant exhibits significantly longer root systems than the wild type under high nitrogen conditions, and the roots lose their ability to respond to nitrogen concentration. This invention provides the nucleotide sequence of this gene, the protein it encodes, and a method for breeding nitrogen-efficient rice varieties using this gene or its mutants. This provides a new target and approach for nitrogen-efficient rice breeding, and is expected to increase yield while reducing nitrogen fertilizer application, thus possessing significant application value.

The present application relates to the field of oilseed rape molecular breeding and biotechnology, and particularly relates to application of QTL site of Brassica napus in construction of SNP genetic linkage map for positioning nitrogen efficient absorption related traits. The present application provides application of QTL site of Brassica napus in construction of SNP genetic linkage map for positioning nitrogen efficient absorption related traits, which obtains a large number of SNP markers with gene sequences by determining phenotype data of nitrogen efficient absorption related traits of Brassica napus and high-throughput genotype data, constructs high-density molecular genetic linkage map of Brassica napus by using these marker sites, and positions nitrogen efficient absorption related traits of Brassica napus, obtains markers significantly associated with traits, mines QTL sites associated with nitrogen efficient absorption related traits, and the positioning site is good in stability and wide in application range, and provides basic information for molecular marker assisted breeding of nitrogen efficient absorption of Brassica napus.

The application discloses a dynamic irrigation control method and system based on crop phenotype images, which comprises the following steps: periodically performing image analysis on target images containing all stems, leaves and fruits of target crops to obtain nitrogen content reference data, phosphorus content reference data and potassium content reference data; searching for optimal target nitrogen fertilizer proportion, target phosphorus fertilizer proportion and target potassium fertilizer proportion according to a standard water-fertilizer proportion table of the target crops; and sending the water-fertilizer proportion to a water-fertilizer configuration device of the target crops, so that dynamic adjustment of the water-fertilizer proportion of the target crops is realized. The method no longer configures the water-fertilizer proportion according to artificial judgment and experience, but determines each water-fertilizer proportion according to image parameters corresponding to various element fertilizers in the target images, so that the accuracy and effectiveness of the water-fertilizer proportion are improved.

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.