The invention relates to the field of slow/controlled release fertilizer, in particular to a urea-formaldehyde-based multi-nutrient slow/controlled release fertilizer and a preparation method thereof. The urea-formaldehyde-based multi-nutrient slow/controlled release fertilizer comprises ammonium polyphosphate, inorganic silica gel and urea-formaldehyde, wherein the phosphorus-oxygen double bond of ammonium polyphosphate can at least form hydrogen bond linkage with a urea-formaldehyde molecule chain, the hydroxyl group of the inorganic silica gel can at least form hydrogen bond linkage with the urea-formaldehyde molecular chain, and ammonium polyphosphate, inorganic silica gel and urea-formaldehyde together form a hydrogen bond associated polymer network structure. The invention can prepare a urea-formaldehyde-based multi-nutrient slow/controlled release fertilizer comprising a strong hydrogen bond network structure by using a conventional aqueous solution polymerization in combination with a normal temperature extrusion granulation process, avoiding the coating process in the latter stage of the preparation of a coated fertilizer, achieving a simple and effective preparation process, and saving a lot of manpower and material resources. The urea-formaldehyde-based multi-nutrient slow/controlled release fertilizer provided by the invention can stably and continuously release nitrogen nutrient throughout the release period, thereby making up for the shortcoming of excessively long nutrient release period of the existing urea-formaldehyde fertilizers.

The present invention discloses an inferior-eliminating and superior-selecting breeding method for synergistically improving wheat yield and quality. A method for breeding target wheat varieties with improved yield and quality is provided herein, which combines the advantages of pedigree method and hybrid method, and provides a method for selection of all generations using molecular marker in combination with phenotype identification, and for selection of each generation according to different standards. Different from the derivative system method, the method reserves the traceability of line history and genetic relationship and the characteristics of simple operation and abundant genetic diversity of the hybrid method. The parents have clear backgrounds before combination and the selection process is simple and easy to operate, with clear goal, especially for those with no breeding experiences, it is easy to master and provides technical support for the rapid breeding of new varieties of high-quality and high-yield wheat.

The present invention discloses an inferior-eliminating and superior-selecting breeding method for synergistically improving wheat yield and quality. A method for breeding target wheat varieties with improved yield and quality is provided herein, which combines the advantages of pedigree method and hybrid method, and provides a method for selection of all generations using molecular marker in combination with phenotype identification, and for selection of each generation according to different standards. Different from the derivative system method, the method reserves the traceability of line history and genetic relationship and the characteristics of simple operation and abundant genetic diversity of the hybrid method. The parents have clear backgrounds before combination and the selection process is simple and easy to operate, with clear goal, especially for those with no breeding experiences, it is easy to master and provides technical support for the rapid breeding of new varieties of high-quality and high-yield wheat.

A method for establishing a monitoring model of a water content of a winter wheat canopy based on spectral parameters, includes the following steps: measuring a spectral reflectance and a water content of the winter wheat canopy; constructing the spectral parameters through the spectral reflectance; wherein, the spectral parameters comprise spectral transformation forms and trilateral parameters; performing correlation analysis on the water content of the winter wheat canopy and the spectral transformation forms and the trilateral parameters, selecting comprehensive spectral parameters with a significant correlation for each growth stage, performing principal component analysis on the comprehensive spectral parameters, separately constructing a water content monitoring model for each growth stage, and combining the water content monitoring model for each growth stage into the monitoring model of the water content of the winter wheat canopy for the whole growth stage.

A method for establishing a monitoring model of a water content of a winter wheat canopy based on spectral parameters, includes the following steps: measuring a spectral reflectance and a water content of the winter wheat canopy; constructing the spectral parameters through the spectral reflectance; wherein, the spectral parameters comprise spectral transformation forms and trilateral parameters; performing correlation analysis on the water content of the winter wheat canopy and the spectral transformation forms and the trilateral parameters, selecting comprehensive spectral parameters with a significant correlation for each growth stage, performing principal component analysis on the comprehensive spectral parameters, separately constructing a water content monitoring model for each growth stage, and combining the water content monitoring model for each growth stage into the monitoring model of the water content of the winter wheat canopy for the whole growth stage.

A digital detection method and system for predicting drug resistance of transgenic maize are disclosed. The method includes acquiring an RGB image, three-dimensional point cloud data and chlorophyll relative content of a maize plant after medicament spraying at a current moment; calculating a pixel ratio and morphological feature according to the RGB image and three-dimensional point cloud data; inputting a detection parameter of the maize plant at the current moment into a series model to predict the detection parameter of the maize plant at a next moment to obtain a graph of change in the detection parameter in a next period; estimating a drug resistance characteristic according to the graph of the change in the detection parameter of the maize plant; and inputting the detection parameter of the maize plant at the current moment into a parallel model to predict the variety of the maize plant.

A digital detection method and system for predicting drug resistance of transgenic maize are disclosed. The method includes acquiring an RGB image, three-dimensional point cloud data and chlorophyll relative content of a maize plant after medicament spraying at a current moment; calculating a pixel ratio and morphological feature according to the RGB image and three-dimensional point cloud data; inputting a detection parameter of the maize plant at the current moment into a series model to predict the detection parameter of the maize plant at a next moment to obtain a graph of change in the detection parameter in a next period; estimating a drug resistance characteristic according to the graph of the change in the detection parameter of the maize plant; and inputting the detection parameter of the maize plant at the current moment into a parallel model to predict the variety of the maize plant.

The present invention clones a gene ZmNLP5 from maize, which plays an important regulatory role in nitrogen assimilation, and the open reading frame of which has a DNA sequence shown as SEQ ID NO:1. The transcription factor protein encoded by the ZmNLP5 gene has an amino acid sequence shown as SEQ ID NO:2. The uses of the maize NLP transcription factor ZmNLP5 mentioned above in promoting expression of a nitrogen metabolic key enzyme gene ZmNIR1.1, in promoting expression of a nitrogen metabolic key enzyme gene ZmNIR1.2, in promoting expression of a nitrogen metabolic key enzyme gene ZmNR1.1, in promoting expression of a nitrogen metabolic key enzyme gene ZmNR1.2, in improving nitrogen assimilation in maize, and in promoting elongation growth of maize root in deficient nitrogen environment are further provided.

The invention concerns novel nitrification inhibitors.

A method for plant treatment, including: receiving a first measurement for a plant from a sensor as the sensor moves within a geographic area comprising a plurality of plants; in response to receipt of the first measurement and prior to receipt of a second measurement for a second plant of the plurality, determining a set of treatment mechanism operation parameters for the plant to optimize a geographic area output parameter based on the first measurement and historical measurements for the geographic area; determining an initial treatment parameter for the plant; and operating a treatment mechanism in a treatment mode based on the set of operating parameters in response to satisfaction of the initial treatment parameter.