Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A nutritional diagnosis, raspberry technology, applied in the direction of removing certain components such as weighing, measuring devices, instruments, etc., can solve problems such as the nutritional diagnosis standards for raspberry leaves that have not yet been seen
Inactive Publication Date: 2017-04-19
NORTHEAST AGRICULTURAL UNIVERSITY
View PDF1 Cites 9 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
In our country, there is no research on the...
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0024] The establishment of the leaf nutrition diagnosis method of embodiment 1 raspberry
[0025] (1) Sampling
[0026] The leaves of summer-fruit-type raspberry "Cкромница" and autumn-fruit-type tree "Prelude" were collected in Xiangfang Farm, Northeast Agricultural University from May to September 2014, and the sampling interval was 15-20 days. For square orchards, use the diagonal method, and for rectangular orchards, use the broken line method, select 5 sampling points, select 4 normal plants at each point, and collect mature leaves and petioles of 1-year-old branches, and 1-year-old branches. The top of the new shoot (new stem) and the young leaves on it. In addition, the summer fruit type raspberry "Cкромница" also collected the mature leaves and petioles of the 2-year-old branches. The mature leaves were collected from the 7th to 12th nodes of the branches.
[0027] (2) Treatment of leaf samples
[0028] Wash the collected samples with deionized water, then absorb ex...
[0051] According to the sampling method established in Example 1, 27 samples were collected in berry plantations in Shangzhi City, Binxian County, Linkou, Jiamusi, Heilongjiang Province, etc., and there were 4 varieties for testing: 2 summer fruit type raspberry "Firdud" (Fertod Zamatos)", "European Red" and 2 autumn-fruited raspberries "Harry Taizi (Heritage)", "Autumn Bliss (Autumn Bliss)". To analyze the content of N, P, K, Ca, Mg, Zn, Fe, Cu, Mn in leaves, the specific operation steps are as follows:
[0052] (1) Sampling
[0053] For square orchards, use the diagonal method, and for rectangular orchards, use the broken line method, select 5 sampling points, select 4 normal plants for each point, and use 3 leaves for each plant, and the adult leaves are collected from the branches of the current year The 7-12 node position of the young leaves is the top of the new shoot; the collection time of the sum...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
The invention discloses a leaf nutrition diagnosis method of raspberry. The leaf nutrition diagnosis method comprises following steps: 1, sampling; 2, leaf sample processing, wherein the collected samples are washed with deionized water, excess water is removed via adsorption, enzyme deactivation, drying, grinding, and sieving are carried out, and samples which are subjected to detection using an atomic absorption spectrophotometer are also processed via dry ashing and acidification; and 3, measuring of leaf mineral element content. According to the step of sampling, diagonal method is adopted in sampling of square orchards, and broken line method is adopted in sampling of rectangular orchards, five sampling points are selected, four plants with normal growth conditions are selected at each point, three leaves of each plant are collected, wherein mature leaf collection parts are the 7th to 12th nodes of current-year branches, young leaf collection parts are the top parts of current shoots, and preferably, in Heilongjiang Province, summer fruit variety sampling time is determined at the early ten days and the middle ten days of August, and autumn fruit variety sampling time is determined at the middle ten days of June. The invention also discloses a raspberry nutrition diagnosis standard specific scope. The leaf nutrition diagnosis method of raspberry and the raspberry nutrition diagnosis standards are established so as to provide raspberry production and fertilization with guidance basis.
Description
technical field [0001] The invention relates to a leaf diagnosis method, in particular to a raspberry leaf nutrition diagnosis method, and belongs to the technical field of fruit tree cultivation. Background technique [0002] Leaf is the main organ for fruit tree body to produce nutrition. A large number of experiments have shown that the nutrient content of leaf in fruit tree is relatively stable under normal conditions, so it can be used for nutritional diagnosis and analysis of tree body, and provide guidance for precise fertilization of fruit tree. In addition, leaf diagnosis technology has the advantages of convenient sample collection, easy preparation, and accurate diagnosis results, so it has been widely used in fruit tree fertilization management. The establishment of diagnostic criteria for leaf nutrition analysis mainly includes the following aspects: (1) Sampling method: The collection method of leaves plays a key role in the establishment of diagnostic criteria...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more