87 results about "Grain yield" patented technology

The invention discloses a grain yield estimation method based on a land-gas coupling model and a machine learning algorithm, and relates to the technical field of agricultural meteorological prediction and intelligent decision making, and the method comprises the following steps: S1, carrying out the kernel-level algorithm fusion of a dynamic corn growth model and a weather research and forecast model, constructing a WRF-Crop coupling system, and carrying out the kernel-level algorithm fusion of the WRF-Crop coupling system; and the WRF-Crop coupling system realizes real-time interaction of transpiration and albedo change of the corn canopy and temperature, humidity and radiation data through a bidirectional data channel. According to the grain yield estimation method based on the land-gas coupling model and the machine learning algorithm, the limitation of isolated operation of a traditional dynamic corn growth model and a meteorological model is broken through by constructing a WRF-Crop bidirectional coupling model, dynamic mutual feedback simulation of vegetation growth and local climate is realized, and a crop stress response mechanism under an extreme climate event is effectively captured.

The invention discloses a determination method, an application method and a related system of a grain yield prediction model, and relates to the field of grain yield prediction, and the determination method comprises the steps: obtaining time-space dynamic data; preprocessing and normalizing climate data, management data and soil data in the spatial-temporal dynamic data to obtain a spatial-temporal data set; respectively inputting the spatio-temporal data set into a plurality of machine learning models to obtain outputs of the plurality of machine learning models; respectively calculating a root-mean-square error and a decision coefficient of each machine learning model based on grain annual output data corresponding to the spatio-temporal data set and the output of each machine learning model; abandoning the machine learning model with the determination coefficient smaller than a preset value to obtain a screened machine learning model; and based on the screened machine learning model and the corresponding root-mean-square error, constructing a weighted average grain yield prediction model. According to the invention, a scientific basis can be provided for grain production under different climate scenes and management strategies.

The invention relates to the technical field of grain storage, and discloses a grain impurity treatment device of a static grain dryer, which comprises a dryer body, and the upper surface of the dryer body is fixedly connected with an E-shaped frame; the lower surface of the impurity removing box is fixedly connected with the upper surface of the E-shaped frame, the bottom of the impurity removing box is open, a feeding port is formed in the outer surface of the impurity removing box, a first partition plate and a second partition plate are fixedly connected to the inner wall of the impurity removing box, and the second partition plate is located on the side, away from the feeding port, of the first partition plate. A screen drum is rotationally connected between the first partition plate and the impurity removing box, and center shafts are fixedly connected to the two opposite sides in the impurity removing box. The grain impurity treatment device of the static grain dryer can effectively solve the problems that in the prior art, flowing large-particle impurities easily drive part of grain particles to be jointly discharged from the impurity discharging opening of the screen drum, so that actually available grains are reduced, and the grain yield and the overall income are reduced.

The invention discloses a high-standard farmland construction time sequence optimization method, and relates to the technical field of agricultural information, and the method comprises the steps: superposing a permanent basic farmland distribution diagram layer and a high-standard farmland distribution diagram layer, and recognizing a permanent basic farmland region which is not constructed into a high standard; obtaining multi-source basic data in the region, and representing the grain yield by adopting an LAI average value after S-G filtering; constructing a high-standard farmland construction ecological toughness evaluation index system; the combined weight of each evaluation index is calculated according to the combination of an entropy weight method and a CRITIC method, and a set pair analysis model is established to calculate the farmland ecological toughness; a spatial interaction relationship between grain yield and farmland ecological toughness is obtained based on a bivariate local spatial autocorrelation analysis method, a preferential plot of high-standard farmland construction is identified in combination with a self-organizing mapping neural network and a K-means method, and a construction time sequence arrangement and spatial layout optimization scheme is formed. According to the invention, the problem of high-standard farmland construction priority can be solved.

The present invention relates to the technical field of rice yield prediction. Disclosed is a rice yield prediction method based on unmanned aerial vehicle remote sensing image processing. In the method, vegetation indices (VIs), spectral indices, and color indices of rice at different growth stages are collected by an unmanned aerial vehicle, and the rice yield is predicted by using single-date VIs and multi-date VIs based on multispectral (MS) and digital (RGB) images. Both MS and RGB digital sensors on an unmanned aerial vehicle are reliable platforms for rice growth and yield prediction, and it is feasible to estimate the rice yield on the basis of dual-sensor data and temporal accumulation across different growth stages, so that full-growth-stage monitoring of rice can be performed, the influence of spectral indices and color indices at different growth stages on the rice yield can be evaluated, and the pre-harvest grain yield can be predicted in a timely and accurate manner, thereby facilitating rice production management and grain trade.

The present invention relates to the field of general plant biotechnology and gene editing. In particular, the present invention relates to the generation of diallelic mutant forms of the OsCKX2 (LOCOs01g10110) gene in plants and their use in providing increased 20%-35% grain yield and finer grains, stronger stems, early flowering and maturation, complete heading, improved water and nutrient utilization efficiency, improved photosynthesis and enhanced seedling vigor. The invention also relates to a method for generating the diallele mutation form of the gene OsCKX2 (LOCOs01g10110) in a plant.

The present application relates to the field of agrochemical adjuvants, and relates to an agrochemical protein adhesion synergist based on a plant-derived protein, and a preparation method therefor and a use thereof. Said synergist comprises the following raw materials in parts by weight: 20-500 parts of a plant-derived protein, 50-450 parts of a protein dispersant, and 20-350 parts of a protein stabilization and protection agent. The product of the present application improves the utilization rate of agrochemicals and reduces problems such as grain yield reduction and environmental pollution caused by the loss of agrochemicals. Moreover, as the protein degrades into amino acids, plant growth can be promoted, and the resistance of plants to abiotic stress is improved, thereby reducing dosage of agrochemicals while enhancing efficacy of agrochemicals.

A method of enhancing grain yield of a Gramineae plant is provided. The method comprises:(a) crossing a recipient plant with a donor plant comprising a sequence variation in a TPR allele, said sequence variation imparting enhanced grain yield; and(b) selecting a progeny plant of said crossing comprising said sequence variation by identifying said variation, said progeny plant being characterized by an improved grain yield relative to said recipient plant. Also provided are plants and processed products resultant of the method.

The invention discloses a water-saving and emission-reducing grass-growing strip-shaped intercropping and interplanting method for a wheat and corn system in a groundwater limited mining area in North China Plain. The method comprises the following steps: firstly, performing strip-shaped simultaneous sowing on wheat and clover, only performing accurate water and fertilizer regulation and control on a wheat strip in a wheat growth period, and interplanting corn in the clover strip in a no-tillage manner when the wheat enters a dough stage; after the crops are harvested, the straw is smashed, covered and returned to the field, the clover naturally overwinter, and the next planting cycle is carried out; by means of the planting method, annual water consumption and carbon and nitrogen footprint can be effectively reduced, annual grain yield stability is maintained, meanwhile, soil enzyme activity and microbial environment are improved, cooperation of water saving, emission reduction, stable yield and soil improvement is achieved, and technical support is provided for agricultural sustainable development of underground water mining limit areas.

This invention relates to the field of agricultural environment and soil fertilizer technology, and in particular to a method for increasing paddy field yield and reducing N2O emissions by regulating the application rate of zero-valent iron. The method includes the following steps: at the early tillering stage of rice, zero-valent iron is mixed with tillering fertilizer and applied to the paddy field soil; the application rate of zero-valent iron is 20-50 mg / kg (dry soil basis). ‑1 The method involves applying booting fertilizer to the paddy soil during the early booting stage of rice, and irrigating throughout the entire rice growth cycle. This invention, by applying an appropriate amount of zero-valent iron in a single application on top of conventional fertilizer application, can synergistically achieve greenhouse gas emission reduction and increased grain yield, providing a feasible path for green production in paddy fields.

The invention discloses application of a corn ZmFKF1a gene in promoting flowering of plants, and belongs to the technical field of plant genetic engineering, the corn ZmFKF1a gene is a ZmFKF1a gene which is based on genetic engineering and is connected with a photoperiod insensitive inbred line HuangZao4 carrier plasmid driven by a ZmUBI promoter; the overexpression ZmFKF1a gene is constructed by connecting with a photoperiod insensitive selfing line HuangZao4 carrier plasmid driven by a ZmUBI promoter, and the overexpression ZmFKF1a gene can promote the corn flowering phase to be advanced and the grain yield to be increased under the condition of natural long sunshine.

The present invention discloses the application of a maize transcription factor ZmERF1a and its coding gene in regulating plant grain yield, belonging to the technical fields of molecular biology and genetic engineering. The present invention screens, through DNA pull down and mass spectrometry cloning, a transcription factor ZmERF1a that regulates maize kernel weight and its coding gene ZmERF1a, the amino acid sequence of which is as shown in SEQ ID NO.2. The present invention verifies that the ZmERF1a protein can bind to the promoter of the ZmNAD gene and regulate the hundred-kernel weight of maize. The transgenic experimental results of the present invention show that in Arabidopsis thaliana plants overexpressing ZmERF1a, the overexpression of the ZmERF1a gene can increase the thousand-kernel weight of grains by 14.8% - 37.4%. The transcription factor ZmERF1a provided by the present invention has broad application prospects and huge economic benefits in regulating maize grain yield.

This application discloses a method, apparatus, equipment, medium, and product for predicting regional crop water productivity, relating to the field of smart agriculture. The method includes inputting historical and future climate data into an ecosystem process model to obtain simulated net primary productivity and simulated evapotranspiration for historical and future times; using a bias mapping method based on the simulated evapotranspiration, actual evapotranspiration, and simulated evapotranspiration for future times to obtain predicted evapotranspiration for future times; training multiple machine learning models based on the simulated net primary productivity, agricultural management data, and grain yield per unit area for historical times to obtain a crop yield prediction model; obtaining the predicted grain yield per unit area for future times based on the crop yield prediction model; and obtaining the regional crop water productivity based on the predicted evapotranspiration and the predicted grain yield per unit area for future times. This application can achieve high-precision, high spatiotemporal resolution, and high-reliability prediction of regional crop water productivity.

The invention discloses a method for producing corn by site-directed base mutation ZmGRF1 The present invention relates to the field of plant genetic engineering and provides a method for increasing corn biomass and / or grain yield, comprising: modifying the wild type shown in SEQ ID No. 1 in the corn genome to improve the biomass and / or grain yield of the corn. ZmGRF1 The nucleotides 1322 and 1323 of the gene are mutated from G to A, thereby increasing the biomass and / or grain yield of corn. The present invention is of great significance for cultivating high-yield corn varieties and providing material accumulation for corn breeding.

The invention provides a regional soil heavy metal water input type pollution risk assessment method and system, and relates to the technical field of soil pollution risk assessment. Aiming at the problem of insufficient accuracy of existing pollution risk assessment, the method comprises the following steps: acquiring a sub-basin boundary, a cadmium-containing wastewater discharge point, cultivated land distribution data, a grain yield, cultivated land irrigation water consumption and a flood-submerged cultivated land area; calculating a cadmium emission hazard index, an irrigation exposure index, a flood exposure index and a vulnerability index according to the acquired data; after standardization processing is conducted on the key indexes, cadmium pollution risk values of the irrigation approaches and the flood approaches of all the sub-basins are calculated; dividing an irrigation exposure type and a flood exposure type according to a set threshold value, and determining a comprehensive risk type by combining the dual-path risk value; a sensitive analysis model is adopted, the key index is used as an input quantity, the double-path risk value is used as an output quantity, and a sampling and statistical method is set to identify a sensitive factor with the maximum influence of the risk value. According to the method, comprehensive and accurate evaluation of the watershed scale pollution risk is realized.

The invention discloses application of ATP-dependent DNA helicase RECG in improvement of agronomic traits of gramineous crops, corn overexpression helicase RECG or enhancement of enzyme activity can improve grain yield and plant biomass, and the application is of great significance to cultivation of new high-yield corn varieties.

The invention discloses a regionalized rice planting density recommendation method based on multi-source data, and relates to the technical field of agricultural production.The method comprises the steps that literature data, meteorological data and soil data are collected, the relation between rice planting density and yield is calculated, clustering analysis is adopted for conducting rice planting ecological region division on a research region, and the rice planting density is recommended; the planting density of the rice is recommended in a targeted mode by combining the meteorological and soil factors of each rice planting ecological area; according to the method, the regional ecological characteristics are recommended in a customized manner, so that the limitation of the prior art in large-range regional planting density prediction is overcome, and the problems that the variety characteristics and the environment interaction effect are not fully integrated, the model precision is low, rice planting ecological region division is not considered and the like in high-yield group prediction in the prior art are solved; actual production can be better guided, and the grain yield can be improved.

The invention relates to a growth regulator for improving the drought resistance of wheat in the booting stage, a preparation method and application, and the growth regulator takes a composition containing spermidine, 2, 4-epibrassinolide and monopotassium phosphate as an active ingredient. According to the growth regulator for improving the drought resistance of wheat in the booting stage, the drought resistance of wheat in the booting stage can be improved, and the drought resistance of wheat in the later growth stage can be greatly improved; moreover, spermidine, 2, 4-epibrassinolide and monopotassium phosphate are specifically combined and proportioned and are applied to improve the drought resistance of wheat at the booting stage for the first time, the three active ingredients have a synergistic effect, the comprehensive drought resistance of wheat can be remarkably improved, so that the grain yield is stabilized, and meanwhile, the composition has the characteristics of safety, high efficiency and environmental protection, and is worthy of popularization and application. The preparation method is simple and easy to implement, and is convenient to popularize and apply.

This invention relates to the field of food security monitoring technology, specifically a method for monitoring and warning of food security yield based on big data analysis. The method includes: collecting multi-source monitoring data such as remote sensing vegetation index time-series data, meteorological observations, soil moisture, crop growth surveys, and historical yield statistics. An improved time-series decomposition algorithm combining crop phenological patterns and interannual cycle characteristics is employed to decompose multiple components of the remote sensing time-series data. Spatiotemporal fusion and feature derivation are performed on farmland environment and growth data to construct a multi-dimensional feature vector set. A yield prediction integration model is used to calculate the predicted grain yield and confidence interval, and combined with yield security thresholds, graded risk warning information is output. Multiple data types are integrated to generate a structured warning report, which is then pushed to a decision support platform, achieving accurate grain yield calculation and standardized risk warning.

The invention provides a grain production risk assessment method and equipment based on climatic years and a storage medium. The method comprises the following steps: acquiring historical data of a specified region, wherein the historical data comprises the yield of specified crops, meteorological data and cultivated land data; performing grain production key climate factor identification based on historical data to obtain a meteorological yield and a meteorological factor influence coefficient, and performing climate year division to obtain a climate year division result; based on the meteorological yield and the division result, the risk degree of the annual specified crops is determined; based on the cultivated land data in the historical data and the risk degree, the suitability grade index of the specified crop in the specified region is determined, the risk degree and the suitability grade index are integrated, an assessment result representing the grain production risk of the specified crop is obtained, and the assessment result comprises the risk degree and the suitability grade index. The influence of annual climate fluctuation on the grain yield is quantified, and the accuracy of grain production risk assessment is improved.

The invention relates to the technical field of image sequence analysis, in particular to a grain yield prediction method based on a multi-source and multi-temporal remote sensing technology, which comprises the following steps: acquiring reflectivity data and texture features of a crop coverage area, identifying abnormal sections and environmental stress, detecting a change rule, analyzing a variable matching relationship and sequencing performance. And analyzing a prediction relationship between the key nodes and the yield, identifying abnormal intervals and overrun nodes, and obtaining a crop growth and environment variable regulation and control strategy table. According to the invention, through integration of multi-source remote sensing data and environment variable analysis, crop growth states and abnormal areas can be accurately identified, agricultural monitoring and decision support are optimized, time response characteristics of crop growth and environment factors are analyzed, limitations of a single data source and a specific area model are overcome, and applicability of the model is improved. The method achieves the optimization of the model performance, guarantees the accuracy of yield prediction, optimizes the production management strategy and environment regulation, and promotes the efficient operation and precise management of agricultural production.

The invention discloses a forage soybean yield measuring method, and belongs to the technical field of crop yield detection, and the method comprises the following steps: S1, obtaining core basic information of a target land parcel, and carrying out homogeneous yield measuring unitization division on the land parcel; s2, dynamically adjusting the side length of the grid according to the planting density, setting center-edge double-region sampling points in a stepped manner according to the area of a homogeneous yield measurement unit, and arranging a sampling frame; s3, respectively collecting morphological parameters and spectral parameters, and measuring grain potential parameters; s4, respectively constructing multiple linear regression models of the fresh grass yield and the grain yield; s5, after the model measurement values of all the homogeneous yield measurement units are corrected, the total yield of the fresh grass and the grains of the target plot is obtained through summarizing; and S6, enabling the core parameter variation coefficient of all sampling points in each homogeneous yield measurement unit to be not higher than 15%, and generating a color graded yield distribution diagram and an Excel report. The technical problems that a traditional yield measuring method is weak in pertinence, high in destructiveness, large in error and low in efficiency are solved.

The present invention relates to a combine harvester that cuts grain stalks growing in a field and threshes the grain using a threshing device, and aims to increase the yield of grain by eliminating the loose grains that are discharged outside the machine along with the threshed material. [Solution] In a threshing device 4 in which a threshing cylinder 11 with threshing teeth 16 erected is mounted on an axis inside a threshing chamber 10 of the threshing device 4, the lower outer surface of the threshing cylinder 11 is surrounded by a receiving net 12 in an arc shape, and grains that leak down from the receiving net 12 are received into a sorting chamber 20 for sorting and harvesting, the threshing device 4 is characterized in that an agitator 17 is provided near the end of the threshing cylinder 11 inside the threshing chamber 10, entering and intersecting the rotational trajectory of the tip of the threshing teeth 16 from the receiving net 12 side.

The invention discloses a preparation method of a NiII-containing coordination polymer and research on the inhibition effect of the NiII-containing coordination polymer on soil urease and nitrifying bacteria, and the preparation method comprises the following steps: synthesizing N, N-dimethylformamide by taking pyridine-3-carboxylic acid and 1, 2-ethylenediamine as raw materials; the invention discloses a novel coordination polymer [Ni (1, 4-chdc) (3-dpy) (H2O) 2], which is prepared by the following steps of: synthesizing N, N '-bis (3-pyridinecarboxamide)-1, 2-ethane by using NiCl2. 2H2O, the synthesized N, N'-bis (3-pyridinecarboxamide)-1, 2-ethane and 1, 4-cycloadipic acid through a hydrothermal method, and researching the influence of the novel coordination polymer [Ni (1, 4-chdc) (3-dpy) (H2O) 2] as an inhibitor on soil urease and nitrifying bacteria by analyzing the crystal structure of the novel coordination polymer [Ni (1, 4-chdc) (3-dpy) (H2O) 2]. The research on the compound as an inhibitor reduces the conversion of urea from urea N to ammonium nitrogen and the conversion of ammonium nitrogen to nitrate nitrogen, improves the utilization rate of the fertilizer urea and the stability of the urea, reduces environmental pollution and improves the grain yield. Compared with a traditional inhibitor, the novel NiII coordination polymer serving as a urease and nitrification inhibitor has the advantages of longer half-life period, small toxic and side effects, low preparation cost and more comprehensive functions, the utilization rate of nitrogen fertilizer urea can be greatly increased, the grain yield is increased, and the environmental pollution is reduced.

The application belongs to the technical field of plant molecular breeding, and provides a corn ZmAAP37 Gene in regulating corn agronomic traits and grain nitrogen accumulation, the application includes at least one of the following: (1) increase the nitrogen content of corn kernel; (2) increase the free amino acid content of corn kernel; (3) improve the aboveground biomass of corn plant; (4) increase the plant height of corn plant; (5) delay the leaf senescence of corn plant; (6) improve the nitrogen utilization rate of corn. The application shows that, ZmAAP37 By increasing the transport of amino acids in leaves to phloem, the nitrogen remobilization is promoted, and finally the grain nitrogen concentration is significantly increased without affecting the grain yield. The application provides ZmAAP37 The gene can provide new gene resources for nitrogen utilization of crops, especially corn, and has great application value in regulating nitrogen utilization of crops.

The invention provides a breeding method of a drought-resistant and high-temperature-resistant millet variety. The breeding method comprises the steps of parent selection, cross pollination, F planting and screening, F and offspring planting and multi-generation screening, stable strain identification and the like. According to the method, parents with obvious drought resistance and high temperature resistance are selected for hybridization, drought stress and high temperature treatment are set in different growth stages, quality screening is combined, and the millet strain with stable characters is bred in multiple generations. The method can accurately and directionally select, accelerates character stability and shortens the breeding period. The bred millet variety has the characteristics of drought resistance and high temperature resistance, the yield reduction range is small under the high-temperature drought condition, and the quality is good. According to the method, the breeding efficiency is improved, the grain yield and quality are guaranteed, agricultural sustainable development is promoted, and the requirement of the market for the high-quality stress-resistant millet variety is met.

The present application relates to a kind of secondary compaction corn seeding method to seed.The present application seeding method includes the following steps: first compaction: after sowing, before covering soil, seed is first compressed, second compaction: seed is second compressed after covering soil.The present application carries out secondary compaction to corn seed, and emergence rate is increased by more than 5%, drought resistance, anti-lodging capacity is strengthened, and the effect of guaranteeing emergence rate and grain yield is obvious, with good popularization and application value.

The invention relates to a gene regulation and control method for improving wheat scab resistance based on an STTM mediated tRF-Lys silencing technology, belongs to the technical field of gene engineering, and aims to inhibit tRF-Lys through the STTM technology, realize obvious improvement of wheat scab resistance and have multiple innovation values. Firstly, the strategy directly aims at pathogen infection key targets, the disease resistance of wheat ears is remarkably improved, toxin accumulation is effectively reduced, and a new way is provided for guaranteeing the grain yield and quality. And secondly, endogenous non-coding RNA is regulated and controlled by a gene editing means, so that the use of chemical agents is avoided, the environmental burden is reduced, the ethical dispute of the traditional transgenic technology is avoided, and the development trend of green agriculture is met. Besides, the research discloses a new function of tRF-Lys in wheat-gibberellic disease interaction, enriches a disease-resistant gene resource library, and provides a theoretical basis and technical support for crop disease-resistant breeding.

The application relates to the technical field of land utilization, in particular to a remote sensing evaluation method and device for the yield reduction degree of cultivated land in a high-water-level coal mining subsidence area, wherein the method comprises the following steps: based on effective remote sensing images, constructing an annual water frequency index time sequence to identify water body pixels, combining a preset algorithm to identify coal mining subsidence water bodies by taking patches as objects, evaluating the yield of cultivated land based on NDVI cumulative values TI-NDVI in a growth period, constructing a spatial gradient model by buffering outward from the center of the coal mining subsidence water bodies, using an exponential function to fit the model and analyze the spatial gradient change rule of TI-NDVI, identifying the boundary of the yield reduction degree based on the spatial gradient change rule, and calculating the grain yield reduction based on the yield reduction degree. Therefore, the problem that in the related art, due to the fact that the grain yield data in a small range and unmanned aerial vehicle remote sensing are mainly used, it is difficult to evaluate the surface subsidence caused by coal mining and the influence on farmland and grain in a regional range is solved.

The application discloses a high-standard farmland construction time sequence optimization method, relates to the field of agricultural information technology, and comprises the following steps: superimposing a permanent basic farmland distribution layer and a high-standard farmland distribution layer to identify a region of the permanent basic farmland which has not been built into high-standard farmland; obtaining multi-source basic data in the region, adopting an S-G filtering LAI average value to represent grain yield; constructing a high-standard farmland construction ecological resilience evaluation index system; calculating the combined weight of each evaluation index according to the combination of an entropy weight method and a CRITIC method, establishing a set pair analysis model to calculate farmland ecological resilience; obtaining the spatial interaction relationship between grain yield and farmland ecological resilience based on a bivariate local spatial autocorrelation analysis method, and combining a self-organizing mapping neural network and a K-means method to identify a priority plot of high-standard farmland construction and form a construction time sequence arrangement and spatial layout optimization scheme. The application can solve the problem of the priority sequence of high-standard farmland construction.