First of all, starting from the data export, data export is a very important part of the system. The data export function can export the user-selected crop Germplasm Bank data to the user's needs. Export of data While exporting database data, it is also necessary to export the data in the format library and code library at the same time and make a prompt. Because when designing the system database, the database, format library, and code library are a single entity (all of them are in the dbf format). If there is no format library or code library, the data in the database is incomplete. Then import the data you have in the exported database and import the data into the system. This step is also very important. We must note that the format of the data table outside the system is consistent with the database table format in the system. Import must be treated differently. Direct import when the database table format is consistent. When the crop germplasm resource database form is inconsistent (inconsistent format appears in the system), then you need to adjust: If the field names are inconsistent (the field types in the database table are all characters), the system will prompt that the length of the field is inconsistent At the same time, it will prompt that if we do not modify it, we cannot import the data table into the system at all. CNC laser cutting technology is computer numerical control (CNC) equipment capable of cutting holes and intricate shapes with outstanding precision. Laser cutting is a technology designed to produce metal parts from sheet metal through the use of a focused, high-powered laser beam, which vaporizes, melts, burns, or removes material by essentially blowing it away by a jet of gas. This process results in an edge with a high-quality surface finish. This technology, which was initially used for drilling holes into diamond dies, emerged in 1965 and has since been adapted for industrial use and has evolved to be capable of cutting various materials. Laser metal cutting machines cut materials including titanium, aluminum, steel, stainless steel, spring steel, brass, copper, and bronze.
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When we enter the data table into the system, what we need to do now is to understand the function of the system. At present, our system is mainly based on germplasm inquiries, inquiries according to their own needs, germplasm information stored in the system is very much, if the user wants to find their own germplasm from such a large amount of information. Information is not an easy task, but if users follow the traits of the crop they are looking for, it is easier to search (see Figure 1). For example, if we want to find a trait of Qingyuan 294, we will enter the system. First, select the database, click on the field crops identified by crop characteristics in the task bar, select barley from the field crops, and then press “OK†to enter the barley interface. At this point, click on the “General†button in the search query. "Search query", you can see a lot of barley traits, in the query conditions, enter the species name "Qingyuan 294", then click "confirm", and then click "search", then you can show all the characteristics of Qingyuan 294 .
The second major function of the system is the statistical function. Through statistics on the quality traits or quantitative traits corresponding to different categories, various statistical results and statistical variables are obtained, and the statistical results are displayed so that the germplasm resource research worker can count the statistics. Results To understand the overall situation of germplasm resources, in the classification statistics, there are two main statistics available for users, namely: one-dimensional classification statistics, two-dimensional classification statistics. One-dimensional classification statistics is to classify certain characteristics of a specific crop according to a certain principle, and then count all the germplasm scores of the crop belonging to each category in the selected database. For example, according to the "plant height" of wheat, the wheat is searched according to a user-defined range, between 0 and 5 cm, between 50 and 105 cm, and the intermediate search procedure is self-determined. Although the function of one-dimensional statistics is simple, it helps the user to understand the overall situation of a certain characteristic of the crop. Two-dimensional classification statistics is to classify the two characteristics of a specific crop according to a certain principle, and then count all the germplasm shares belonging to each category of the crop in the selected database. For example, according to the "plant height" and "source province" of wheat. It can also be calculated that "plant height" is between 50 and 100cm and "source province" is "Beijing"; "source province" whose "plant height" is greater than 100cm is "Beijing"; "plant height" is between 50 and 100cm." The source province is "Zhejiang," and the "plant height" is greater than 100cm in the "origin province" and "Zhejiang" germplasm quantity.
Surface Finishing: Powder Coating, painting, plating, anodizing, polishing, Sandblasting spray coating
Typical Applications
l Telecommunications
l Computer Storage
l Medical
l Industrial Equipment / Machines
l Retail
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Application and Methods of Information System of Crop Germplasm Bank