CN111507733A - Method for determining source collection place of myrtle - Google Patents
Method for determining source collection place of myrtle Download PDFInfo
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- CN111507733A CN111507733A CN202010052872.8A CN202010052872A CN111507733A CN 111507733 A CN111507733 A CN 111507733A CN 202010052872 A CN202010052872 A CN 202010052872A CN 111507733 A CN111507733 A CN 111507733A
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Abstract
The invention belongs to the technical field of biological information acquisition, and particularly provides a method for determining a myrtle provenance acquisition place, which comprises the following steps of S1, obtaining basic data such as a Chinese national map and a river, S2, determining a provenance distribution diagram by searching documents, interviewing and field investigation by taking counties as units, dividing a distribution range into 10 × 10 grids by utilizing an information technology, wherein a grid central point falls in a distribution area to be a theoretical acquisition point, S3, determining an actual planned acquisition point of the provenance according to actual addition or deletion of part of acquisition points, and S4, collecting the provenance according to the determined acquisition place.
Description
Technical Field
The invention belongs to the technical field of biological information acquisition, and particularly relates to a method for determining a myrtle seed source acquisition place in China.
Background
The myrtaceae plant has hundreds of genera, and 9 genera, 126 varieties and 8 varieties are native and domesticated in China. Common syzygium jambos, syzygium samarangense, guava, clove, eucalyptus, etc. are of the Myrtaceae family. The Myrtus plant of Myrtus of Kechang is 18 kinds globally, and only 1 kind is naturally distributed in China, and the Latin school name "Rhodomyrtus tomentosa", the Chinese name is" myrtle ".
The myrtle belongs to tropical plants and is mainly distributed in places such as Guangdong, Guangxi, Fujian, Hainan, Taiwan, Yunnan, Guizhou, Zhejiang and the like in China, wherein the Guangdong and the Guangxi are the most common. There are also distributions in south Asia and Japan, etc. The myrtle plants are compact in shape and evergreen in all seasons. The flowers are white first and then red, the red and white are opposite, and the flowers can be opened for more than 2 months in succession, so the flower is very gorgeous. Some wild myrtle is reserved in parks and greening areas of cities such as Shenzhen and Guilin for appreciation.
The myrtle has edible fruits and certain medicinal value. The root of Myrtus communis contains tannin, has antibacterial, astringent and antidiarrheal effects, and can be used for treating burn and scald by external application. Clove oil can be extracted from flos Rhodomyrti for essence or dental antisepsis and analgesic. The leaf of Myrtus communis contains phenols, terpenoids, flavonoids, polysaccharides, etc., and has antibacterial, astringent, and hemostatic effects. Especially the volatile oil extracted from the leaves contains monoterpene as main ingredient, which is a strong thinning viscid, and can be used for eliminating phlegm.
Therefore, the research on wild plant myrtle is very significant for landscape ecology and medical health care industry, and the collection of myrtle seed sources is very important for basic work of preservation and breeding of myrtle germplasm resources.
For the seed source collection of the myrtle, the source collection should be as comprehensive as possible, but due to the limitation of manpower, material resources and financial resources, the situation cannot be met, and in order to representatively collect the seed sources with determined target quantity, a method needs to be found for determining the source collection place. In order to ensure the scientificity and representativeness of seed source collection, points need to be distributed according to a grid method, but the grid method operated manually wastes time and labor.
Disclosure of Invention
In view of the above, the invention provides a method for determining a myrtle provenance collection place in China, the invention determines the provenance collection place by using ArcGIS software with the help of an information tool, and the method is efficient and accurate.
The technical scheme of the invention is as follows:
a method for determining a source collection place of myrtle comprises the following steps:
s1, firstly obtaining basic data such as China national maps and rivers, and determining a specific distribution range of a myrtle provenance in the forms of searching Chinese digital plant specimen museum data, looking up literature records, telephone interviews and the like by taking a county as a unit;
s2, taking county as a unit, dividing a distribution range into 10 × 10 grids by utilizing an information technology on the basis of determining seed source distribution through searching documents, interviews and field investigation, wherein the grid central point falling in a distribution area is a theoretical acquisition point;
and S3, superposing the first-level rivers and the second-level rivers to ensure that the seed source collection points are uniformly distributed on two sides of the large river, adding local seed sources and cross-provincial and undistributed seed sources (special seed source points), removing some seed sources which are difficult to collect, and finally determining the actual planned seed source collection points of the seed sources.
And S4, collecting seed sources according to the determined seed source collecting places.
Further, in the step S1, the distribution of the downy rosemyrtle in china is mainly concentrated in the southern areas of guangdong, guangxi, fujian, southern hai, hong kong and taiwan province, and Guizhou, Yunnan, Jiangxi, Hunan and Zhejiang. The source distribution range is determined and detailed in the source distribution diagram of the Chinese myrtle.
Further, in the step S2, the information technology is used to adopt ArcGIS software.
Further, the step S2 includes the following specific steps:
s21, opening ArcGIS software, importing a 2000-coordinate Chinese map with county as a basic unit, and determining a myrtle seed source distribution range diagram by searching Chinese digital plant specimen museum data, looking up literature records, telephone interview and other modes;
s22, selecting a fishing net building tool, outputting element classes, selecting specific storage positions and naming, selecting a template range which is the same as a distribution range diagram of a myrtle provenance in a layer, setting the number of rows and the number of columns to be 10, obtaining 100 point elements, deleting points outside the distribution range of the myrtle provenance, and obtaining 29 points, wherein the 29 points are theoretical acquisition points.
Further, in step S2, if more or less seed collection points are needed, the number of rows and columns may be increased or decreased until the number of collection points is needed.
Further, in step S3, the added local seed source is a seed source in the area of guangdong huiyang.
Further, in step S3, the cross-provincial non-spotted seed sources include jiangxi nan kang and zhejiang Pingyang.
Further, in the step S3, the seed sources that are difficult to collect include 2 seed sources in taiwan province.
Further, in the step S3, it is finally determined that the number of actually planned collection points of the seed source of the project is 30.
In particular, the following table is a distribution table of seed source actual planned acquisition point tables after passing through step S3.
According to the method, the points are distributed according to a grid method, the ArcGIS software is used for determining the provenance collection place, the method is efficient and accurate, meanwhile, the scientificity and representativeness of provenance collection are guaranteed, and the task of collecting 30 myrtle provenance can be smoothly completed.
Drawings
FIG. 1 is a distribution diagram of the provenance of Myrtus communis in China;
FIG. 2 is a diagram of theoretical collection point distribution of a seed source of Myrtus communis in China;
FIG. 3 is a distribution diagram of actual planned collection points in a Chinese area from a source of myrtle.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
A method for determining a source collection place of myrtle comprises the following steps:
s1, firstly obtaining basic data such as China national maps and rivers, and determining a specific distribution range of a myrtle provenance in the forms of searching Chinese digital plant specimen museum data, looking up literature records, telephone interviews and the like by taking a county as a unit;
s2, with county as a unit, by searching documents, interviews and field investigation, on the basis of determining seed source distribution, dividing a distribution range into a grid of 10 × 10 by using an information technology, wherein the grid with the central point in a distribution area is a theoretical acquisition point (as shown in FIG. 2);
and S3, superposing the first-level rivers and the second-level rivers to ensure that the seed source collection points are uniformly distributed on two sides of the large river, adding local seed sources and cross-provincial and undistributed seed sources (special seed source points), removing some seed sources which are difficult to collect, and finally determining the actual planned seed source collection points of the seed sources.
And S4, collecting seed sources according to the determined seed source collecting places.
Further, in the step S1, the distribution of the downy rosemyrtle in china is mainly concentrated in the southern areas of guangdong, guangxi, fujian, southern hai, hong kong and taiwan province, and Guizhou, Yunnan, Jiangxi, Hunan and Zhejiang. The source distribution range is determined to be detailed in a source distribution diagram of myrtle in China (shown in figure 1).
Further, in the step S2, the information technology is used to adopt ArcGIS software.
Further, the step S2 includes the following specific steps:
s21, opening ArcGIS software, importing a 2000-coordinate Chinese map with county as a basic unit, and determining a myrtle seed source distribution range diagram by searching Chinese digital plant specimen museum data, looking up literature records, telephone interview and other modes;
s22, selecting a fishing net building tool, outputting element classes, selecting specific storage positions and naming, selecting a template range which is the same as a distribution range diagram of a myrtle provenance in a layer, setting the number of rows and the number of columns to be 10, obtaining 100 point elements, deleting points outside the distribution range of the myrtle provenance, and obtaining 29 points, wherein the 29 points are theoretical acquisition points.
Further, in step S2, if more or less seed collection points are needed, the number of rows and columns may be increased or decreased until the number of collection points is needed.
Further, in step S3, the added local seed source is a seed source in the area of guangdong huiyang.
Further, in step S3, the cross-provincial non-spotted seed sources include jiangxi nan kang and zhejiang Pingyang.
Further, in the step S3, the seed sources that are difficult to collect include 2 seed sources in taiwan province.
Further, in the step S3, it is finally determined that the number of seed sources actually planned collection points of the project is 30 (as shown in fig. 3).
In particular, after step S3, a distribution table of seed source actual planned acquisition point tables may be obtained.
According to the method, the points are distributed according to a grid method, the ArcGIS software is used for determining the provenance collection place, the method is efficient and accurate, meanwhile, the scientificity and representativeness of provenance collection are guaranteed, and the task of collecting 30 myrtle provenance can be smoothly completed.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art. It should be noted that the technical features not described in detail in the present invention can be implemented by any prior art.
Claims (9)
1. A method for determining a source collection place of a myrtle is characterized by comprising the following steps:
s1, firstly obtaining basic data such as China national maps and rivers, and determining a specific distribution range of a myrtle provenance in the forms of searching Chinese digital plant specimen museum data, looking up literature records, telephone interviews and the like by taking a county as a unit;
s2, taking a county as a unit, searching documents, interviews and field investigation, and on the basis of determining seed source distribution, dividing a distribution range into a 10 × 10 grid by using an information technology, wherein the grid with the central point in a distribution area is a theoretical acquisition point;
s3, superposing the first-level rivers and the second-level rivers to ensure that the seed source collection points are uniformly distributed on two sides of the large river, adding local seed sources and cross-provincial and un-stationed seed sources, removing some seed sources which are difficult to collect, and finally determining the actual planned seed source collection points of the seed sources;
and S4, collecting seed sources according to the determined seed source collecting places.
2. A method as claimed in claim 1, wherein the distribution of the myrtle in china is mainly concentrated in the south areas of guangdong, guangxi, fujian, southern hai, hong kong and taiwan province, and Guizhou, Yunnan, Jiangxi, Hunan and Zhejiang in step S1.
3. The method for determining the source collection area of myrtle as claimed in claim 1, wherein in step S2, the information technology is ArcGIS software.
4. The method for determining a source collection place of myrtle as claimed in claim 3, wherein the step S2 comprises the following specific steps:
s21, opening software ArcGIS, importing a 2000-coordinate Chinese map with county as a basic unit, and determining a myrtle provenance distribution range diagram by searching Chinese digital plant specimen museum data, looking up literature records, telephone interviews and other modes;
s22, selecting a fishing net creating tool, outputting element classes, selecting specific storage positions and naming, selecting a template range which is the same as a distribution range diagram of a myrtle provenance in a layer, setting the number of rows and the number of columns to be 10, obtaining 100 point elements, deleting point elements outside the distribution range of the myrtle provenance, and obtaining 29 points, wherein the 29 points are theoretical acquisition points.
5. The method for determining a source collecting place of myrtle as claimed in claim 4, wherein in step S2, if more or less source collecting points are needed, the number of rows and columns can be increased or decreased until the number of required collecting points is obtained.
6. The method for determining a source collection place of myrtle as claimed in claim 1, wherein in step S3, the local source is a source in the area of guangdong huiyang.
7. A method for determining a source collection place of myrtle as claimed in claim 1, wherein in step S3, the cross-province undistributed seed sources include jiangxi nan kang and zhejiang Pingyang.
8. The method for determining a source collection place of myrtle according to claim 1, wherein in the step S3, the difficult-to-collect source comprises 2 sources in Taiwan.
9. A method for determining a source collection place of myrtle as claimed in claim 1, wherein in step S3, the actual planned collection points of the source of the item are finally determined to be 30.
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| CN202010052872.8A CN111507733A (en) | 2020-01-17 | 2020-01-17 | Method for determining source collection place of myrtle |
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| CN202010052872.8A CN111507733A (en) | 2020-01-17 | 2020-01-17 | Method for determining source collection place of myrtle |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105701250A (en) * | 2016-03-04 | 2016-06-22 | 农业部环境保护科研监测所 | Agricultural producing area soil monitoring point arrangement method based on step-by-step grid refinement |
| CN106845699A (en) * | 2017-01-05 | 2017-06-13 | 南昌大学 | A kind of method for predicting oil tea normal region |
| US20180113883A1 (en) * | 2016-10-25 | 2018-04-26 | International Business Machines Corporation | Spatial computing for location-based services |
| CN108182272A (en) * | 2018-01-19 | 2018-06-19 | 北京林业大学 | The method that Chinese environmental risk map is made based on average area theory |
| CN110688443A (en) * | 2019-10-15 | 2020-01-14 | 中国地质大学（北京） | Map annotation model and annotation method thereof |
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2020
- 2020-01-17 CN CN202010052872.8A patent/CN111507733A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105701250A (en) * | 2016-03-04 | 2016-06-22 | 农业部环境保护科研监测所 | Agricultural producing area soil monitoring point arrangement method based on step-by-step grid refinement |
| US20180113883A1 (en) * | 2016-10-25 | 2018-04-26 | International Business Machines Corporation | Spatial computing for location-based services |
| CN106845699A (en) * | 2017-01-05 | 2017-06-13 | 南昌大学 | A kind of method for predicting oil tea normal region |
| CN108182272A (en) * | 2018-01-19 | 2018-06-19 | 北京林业大学 | The method that Chinese environmental risk map is made based on average area theory |
| CN110688443A (en) * | 2019-10-15 | 2020-01-14 | 中国地质大学（北京） | Map annotation model and annotation method thereof |
Non-Patent Citations (1)
| Title |
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